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Dissertations / Theses on the topic 'Consumer learning'
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1
Huang, Y. "New product introduction with consumer learning." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1493090/.
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To unveil the mystery in the failure of new products, this PhD dissertation examines the firms' optimal strategies in the process of selling new products under different market conditions, using game theoretical models and operations research techniques. The insights from the dissertation aim to help firms make better decisions in new product introduction. This dissertation addresses three important research questions in new product introduction with consumer learning. First, how an entrepreneurial firm should optimally allocate sales resources when entering a new market, considering that consumers may learn from peers and incumbents may react to retain consumers. Second, when facing new products, consumers are uncertain about their valuation and may delay their purchases to seek for more information from multiple sources (e.g. from the selling firm, third-parties and other consumers). This dissertation studies how such consumer behavior impacts the selling firm's profit, and how the firm should invest in providing information to facilitate consumer learning. Third, offering money-back guarantees is a common practice to encourage consumer to purchase the new product. This dissertation investigates how the asymmetric bargaining power between a wholesaler and two retailers in a supply chain influences the decision of the retailers to offer money-back guarantees in competition.
2
Steils, Nadia. "Antecedents and consequences of online consumer learning." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL12007.
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L'apprentissage est un processus fondamental et sous-jacent au comportement du consommateur. Ceci est particulièrement vrai lorsque des (nouveaux) produits ou services sont achetés et utilisés pour la première fois. La recherche actuelle en psychologie et marketing a mis l'accent sur des principes pédagogiques pour expliquer comment les consommateurs apprennent à utiliser des produits hors ligne. Cette recherche vise à élargir ce concept en explorant les processus d'apprentissage dans des contextes en ligne et en se basant sur une approche andragogique, à savoir l’apprentissage des adultes, et d’un point de vue cognitif. En utilisant une approche multi-méthodes basée sur une approche qualitative, à savoir des entretiens semi-structurés et des observations non-participantes, et une approche quantitative, à savoir une enquête et des expérimentations, nos résultats contribuent à la compréhension du "consumer e-learning". Tout d'abord, nous identifions comment et par quels processus les consommateurs adultes apprennent dans un environnement en ligne. Deuxièmement, nous déterminons les facteurs andragogiques et online qui aident à réduire les efforts cognitifs des consommateurs dans l’apprentissage d’un nouveau produit, et par conséquent, améliorent leur appropriation d'un produit. Dans un contexte où l'inefficacité des modes d’emploi traditionnels conduit à un manque d’apprentissage et l’utilisation moindre d’un produit, cette recherche contribue au niveau théorique au champ de l'apprentissage des consommateurs en abordant la question de l'apprentissage des consommateurs d’un point de vue andragogique et cognitif, et en abordant des questions critiques telles que le désapprentissage de pratiques antérieures<br>Learning is a fundamental process underlying consumer behavior. This is especially true when (new) products or services are purchased and used for the first time. Existing research in psychology and marketing has focused on pedagogical principles to explain how consumers learn to use products in offline settings. This research aims to broaden this scope by exploring learning processes in online contexts and by drawing on an andragogical, i.e. adult learning, and cognitive perspective. Using a multi-method approach based on a qualitative study including semi-structured interviews and non-participant observations, and a quantitative part involving a survey and experiments, our results contribute to the understanding of consumer e-learning. First, we identify how and by which processes adult consumers learn in an online environment. Second, we determine andragogical and online factors that help reducing consumers’ cognitive effort in new product learning, and consequently improve their appropriation of the product usage. In a context in which the ineffectiveness of traditional step-by-step instructions leads to reduced insight-based learning and product usage intention, this research contributes theoretically to the field of consumer learning by investigating consumer learning from an andragogical and cognitive perspective, and addressing critical issues such as product unlearning
3
Alves, Pedro. "Essays on consumer learning and behavioural economics." Thesis, London School of Economics and Political Science (University of London), 2016. http://etheses.lse.ac.uk/3520/.
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From its inception, behavioural economics’ mission has been to bring deeper psychological insights into economics. Relying mostly on experimental data, this field became notorious for providing evidence of the shortcomings of standard economic models in predicting human behaviour. These findings motivated a first generation of behavioural models, which tried to systematise this departure from standard economics. However, these initial attempts were widely criticised for their methods (these models were argued to lack the tractability, systematic approach and level of generality desired by economic science) and for their lack of relevance for economic phenomena (markets, evolution and arbitrage would drive away behavioural biases). This criticism motivated a second wave of behavioural models, which augmented neo-classical frameworks with psychologically realistic behavioural assumptions. This approach allowed this field to establish a link to previous results of economics and address criticisms about the relevance of behavioural findings in markets. A further step in the direction of linking behavioural models and standard theory is to introduce learning to behavioural models. While this concept has been largely absent from behavioural economics’ analysis of markets for technical reasons, its presence is necessary for two reasons. First, learning is commonly used to dismiss (behaviourally motivated) consumer mistakes, so it is crucial to study whether existing results of this literature will be robust to this variation. Second, in a world which is constantly evolving, learning in itself is an important driver of economic phenomena and, hence, should not be dismissed by this field. In this thesis, I augment previous behavioural models by studying their existence in environments with consumer learning. By extending static behavioural problems to dynamic environments with learning, I am able to explain puzzles in the areas of technology adoption and contract theory. In chapter 1, I propose that status considerations – a feature of consumers’ preferences overlooked by classical theory – can have positive effects in society whenever they are considered in an environment with active learning (i.e., experimentation). In chapter 2 and 3, I show that when naıve of behavioural consumers (who lack self-awareness about their preferences) can learn, pricing methods in subscription contracts, which were previously unexplained by standard contract theory, can be shown to be the optimal response of firms trying to prevent consumer learning.
4
Yuan, Danny. "Applications of machine learning : consumer credit risk analysis." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100614.
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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 65-66).<br>Current credit bureau analytics, such as credit scores, are based on slowly varying consumer characteristics, and thus, they are not adaptable to changes in customers behaviors and market conditions over time. In this paper, we would like to apply machine-learning techniques to construct forecasting models of consumer credit risk. By aggregating credit accounts, credit bureau, and customer data given to us from a major commercial bank (which we will call the Bank, as per confidentiality agreement), we expect to be able to construct out-of-sample forecasts. The resulting models would be able to tackle common challenges faced by chief risk officers and policymakers, such as deciding when and how much to cut individuals account credit lines, evaluating the credit score for current and prospective customers, and forecasting aggregate consumer credit defaults and delinquencies for the purpose of enterprise-wide and macroprudential risk management.<br>by Danny Yuan.<br>M. Eng.
5
Young, Melissa Marie. "Consumer Identity." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-16844.
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The purpose of this thesis is to prove that despite consumers' impression that they are alone in deciding their consumption decision they are wrong. Consumers are manipulated on various levels by marketers. It is the marketer who decides what consumer identities should be created. Consumers are persuaded by marketers on different levels beginning with consumers' needs. Marketers begin by appealing to consumer drives, motivations and emotions to persuade their consumers to purchase their brand. On a more in-depth level marketers manipulate consumers by using a variety of human behaviour learning strategies to sway consumers' purchasing decisions. In addition, marketers use various environmental and social-environmental influences to control their consumers. Lastly, a practical example illustrating the multinational corporation Nike is used, to prove that marketers are aware of these different methods and use them to manipulate consumers. In the end of this paper it is very obvious that consumers are easily persuade by marketers. A consumer is only the puppet while the marketer is the puppet string master.
6
Long, Jeremy Dillon. "Plasticity of Consumer-prey Interactions in the Sea: Chemical Signaling, Consumer Learning, and Ecological Consequences." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11182004-164652/unrestricted/long%5Fjeremy%5Fd%5F200412%5Fphd.pdf.
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Thesis (Ph. D.)--Biology, Georgia Institute of Technology, 2005.<br>Hay, Mark, Committee Chair ; Dusenbery, David, Committee Member ; Kubanek, Julia, Committee Member ; Paffenhofer, Gustav-Adolf, Committee Member ; Yen, Jeannette, Committee Member. Includes bibliographical references.
7
Oates, Barbara R. (Barbara Ruth). "Patronage Behavior of Elderly Consumers in the Purchase of Pharmaceuticals with Teaching and Learning Implications for American Higher Education." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc277618/.
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This study concerned the impact lifestyles of the elderly have on purchases from different product categories. The main purpose was to determine, evaluate, and analyze the effects of lifestyles on elderly shoppers' choice of retail outlets.
8
Finneran, Lisa. "Advertising, quality and social learning." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342858.
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Yang, Hua. "Promoting understandability in consumer healt information seach." Doctoral thesis, Universidade de Évora, 2019. http://hdl.handle.net/10174/26277.
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Nowadays, in the area of Consumer Health Information Retrieval, techniques
and methodologies are still far from being effective in answering complex
health queries. One main challenge comes from the varying and limited
medical knowledge background of consumers; the existing language gap be-
tween non-expert consumers and the complex medical resources confuses
them. So, returning not only topically relevant but also understandable
health information to the user is a significant and practical challenge in this
area.
In this work, the main research goal is to study ways to promote under-
standability in Consumer Health Information Retrieval. To help reaching
this goal, two research questions are issued: (i) how to bridge the existing
language gap; (ii) how to return more understandable documents. Two mod-
ules are designed, each answering one research question. In the first module,
a Medical Concept Model is proposed for use in health query processing;
this model integrates Natural Language Processing techniques into state-of-
the-art Information Retrieval. Moreover, aiming to integrate syntactic and
semantic information, word embedding models are explored as query expan-
sion resources. The second module is designed to learn understandability
from past data; a two-stage learning to rank model is proposed with rank
aggregation methods applied on single field-based ranking models.
These proposed modules are assessed on FIRE’2016 CHIS track data and
CLEF’2016-2018 eHealth IR data collections. Extensive experimental com-
parisons with the state-of-the-art baselines on the considered data collec-
tions confirmed the effectiveness of the proposed approaches: regarding un-
derstandability relevance, the improvement is 11.5%, 9.3% and 16.3% in
RBP, uRBP and uRBPgr evaluation metrics, respectively; in what concerns
to topical relevance, the improvement is 7.8%, 16.4% and 7.6% in P@10,
NDCG@10 and MAP evaluation metrics, respectively; Sumário:
Promoção da Compreensibilidade na Pesquisa de
Informação de Saúde pelo Consumidor
Atualmente as técnicas e metodologias utilizadas na área da Recuperação
de Informação em Saúde estão ainda longe de serem efetivas na resposta
às interrogações colocadas pelo consumidor. Um dos principais desafios é
o variado e limitado conhecimento médico dos consumidores; a lacuna lin-
guística entre os consumidores e os complexos recursos médicos confundem
os consumidores não especializados. Assim, a disponibilização, não apenas
de informação de saúde relevante, mas também compreensível, é um desafio
significativo e prático nesta área.
Neste trabalho, o objetivo é estudar formas de promover a compreensibili-
dade na Recuperação de Informação em Saúde. Para tal, são são levantadas
duas questões de investigação: (i) como diminuir as diferenças de linguagem
existente entre consumidores e recursos médicos; (ii) como recuperar textos
mais compreensíveis. São propostos dois módulos, cada um para respon-
der a uma das questões. No primeiro módulo é proposto um Modelo de
Conceitos Médicos para inclusão no processo da consulta de informação que
integra técnicas de Processamento de Linguagem Natural na Recuperação
de Informação. Mais ainda, com o objetivo de incorporar informação sin-
tática e semântica, são também explorados modelos de word embedding na
expansão de consultas. O segundo módulo é desenhado para aprender a com-
preensibilidade a partir de informação do passado; é proposto um modelo de
learning to rank de duas etapas, com métodos de agregação aplicados sobre
os modelos de ordenação criados com informação de campos específicos dos
documentos.
Os módulos propostos são avaliados nas coleções CHIS do FIRE’2016 e
eHealth do CLEF’2016-2018. Comparações experimentais extensivas real-
izadas com modelos atuais (baselines) confirmam a eficácia das abordagens
propostas: relativamente à relevância da compreensibilidade, obtiveram-se melhorias de 11.5%, 9.3% e 16.3 % nas medidas de avaliação RBP, uRBP e
uRBPgr, respectivamente; no que respeita à relevância dos tópicos recupera-
dos, obtiveram-se melhorias de 7.8%, 16.4% e 7.6% nas medidas de avaliação
P@10, NDCG@10 e MAP, respectivamente.
10
Crafford, S. "A curriculum framework for consumer learning at a higher education institution." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/3173.
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Thesis (PhD (Education)--University of Stellenbosch, 2006.<br>287 leaves printed as single pages, preliminary pages i-xxii and numbered pages 1-253. Includes bibliography and appendixes. Digitized at 600 dpi grayscale to pdf format (OCR), using a Bizhub 250 Konica Minolta Scanner.<br>ENGLISH ABSTRACT: This study is aimed at developing a curriculum framework for consumer learning at a
higher education institution, using a case study design.
To determine the need for consumer learning at the Cape Peninsula University of
Technology - the "bounded context" of the study - a situation analysis was
conducted as the first phase of curriculum development. Methods to triangulate data
included the use of quantitative and qualitative research methods, together with a
thorough literature study. The two sets of empirical data were obtained from two
research instruments, namely self-administered survey questionnaires and semistructured
interviews with learning facilitators (lecturers) at the institution.
The survey amongst first-year students was used to assist in the needs assessment
for curriculum development at the CPUT and to determine the knowledge, skills,
values and attitudes of first-year respondents regarding consumer rights and
responsibilities, as well as other consumer-related issues. This not only provided
data to analyse the situation, but also assisted in the planning and development of a
curriculum framework for consumer learning.
The researcher used semi-structured interviews to determine the views and
perceptions of learning facilitators regarding the importance of consumer learning, and to gauge the need for such learning at the institution. Aspects relating to the
contents, teaching strategies, level of introduction, potential for critical crossfield outcomes development, benefits and major obstacles in the implementation and/or
integration into the curriculum were also investigated. The two-tiered situation analysis indicated that students expressed a clear need for
consumer learning at the Cape Peninsula University of Technology, especially
regarding the areas of consumer rights and responsibilities. The importance of
consumer learning and the "readiness climate" from the perspective of the learning
facilitators was also clearly established.
The study culminated in the development of a curriculum framework for consumer
learning that is compatible with the requirements of the South African Qualifications Authority and the Higher Education Qualifications Framework in South Africa.
Key findings reported in the form of a curriculum framework could serve as a
guideline for the planning and implementation of a consumer learning programme at the Cape Peninsula University of Technology.<br>AFRIKAANSE OPSOMMING: Hierdie studie is onderneem met die doel om 'n kurrikulumraamwerk vir
verbruikersleer aan 'n hoëronderwysinstelling te ontwikkel. 'n Gevallestudiebenadering
is gebruik om die sosiale verskynsel van verbruikersleer te ondersoek.
Om die behoefte aan verbruikersleer aan die Kaapse Skiereilandse Universiteit van
Tegnologie - die konteks van die studie - te bepaal, is 'n situasie-analise onderneem
as die eerste fase van kurrikulumontwikkeling. Metodes van triangulasie in hierdie
navorsing sluit die benutting van kwantitatiewe en kwalitatiewe gegewens in, asook
'n literatuurstudie. Die twee stelle empiriese gegewens is verkry vanuit 'n selfgeadministreerde
opnamevraelys aan studente en onderhoude met leerfasiliteerders
(dosente) aan die instelling.
Die doel van die opnamevraelys was om te help met die behoeftebepaling vir
kurrikulumontwikkeling aan die Kaapse Skiereilandse Universiteit van Tegnologie, en
veral om die kennis, vaardighede, waardes en houdings van eerstejaarrespondente
met betrekking tot verbruikersregte en -verantwoordelikhede te bepaal. Dit het nie
alleen insig in die situasie-ontleding gegee nie, maar het ook gehelp met die
beplanning en ontwikkeling van 'n kurrikulumraamwerk vir verbruikersleer.
Die doel met die gebruik van semi-gestruktureerde onderhoude in hierdie studie was
om die navorser in staat te stel om die sienswyse en persepsies van
leerfasiliteerders met betrekking tot die belangrikheid van verbruikersleer, asook die
behoefte daarvoor by die instelling te bepaal. Aspekte wat verband hou met die
inhoud, onderrigstrategieë, vlak van bekendstelling, potensiaal vir kritieke
uitkomsontwikkeling, voordele en vernaamste struikelblokke in die implementering
en/of integrasie van die kurrikulum is ook getoets.
Die situasie-analise dui daarop dat studente aan die Kaapse Skiereilandse
Universiteit van Tegnologie 'n behoefte het aan verbruikersleer, veral met betrekking
tot die bevordering van verbruikersregte en -verantwoordelikhede. Die belangrikheid
van verbruikersleer en die "gereedheidsklimaat" daarvoor vanuit die perspektief van
die leerfasiliteerders is ook bevestig.
Die resultaat van die navorsing het gelei tot die ontwikkeling van 'n
kurrikulumraamwerk vir verbruikersleer wat versoenbaar is met die vereistes van die
Suid-Afrikaanse Kwalifikasie-Owerheid en die van die Hoëronderwys Kwalifikasieraamwerk
in Suid-Afrika.
Sleutelbevindings in verband met verbruikersleer is ook in die raamwerk opgeneem.
Hierdie bevindings kan as 'n riglyn dien vir die beplanning en implementering van 'n
verbruikersleerprogram aan die Kaapse Skiereilandse Universiteit van Tegnologie.
11
Caro, Felipe. "Dynamic retail assortment models with demand learning for seasonal consumer goods." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33415.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2005.<br>Includes bibliographical references (leaves [104]-108).<br>The main research question we explore in this dissertation is: How should a retailer modify its product assortment over time in order to maximize overall profits for a given selling season? Historically, long development, procurement, and production lead times have constrained fashion retailers to make supply and assortment decisions well in advance of the selling season, when only limited and uncertain demand information is available. As a result, many retailers are seemingly cursed with simultaneously missing sales for want of popular products, while having to use markdowns in order to sell the many unpopular products still accumulating in their stores. Recently however, a few innovative firms, such as Spain-based Zara, Mango and Japan-based World Co. (referred to as "Fast Fashion" retailers), have gone substantially further, implementing product development processes and supply chain architectures allowing them to make most product design and assortment decisions during the selling season. Remarkably, their higher flexibility and responsiveness is partly achieved through an increased reliance on more costly local production relative to the supply networks of more traditional retailers.<br>(cont.) At the operational level, leveraging the ability to introduce and test new products once the season has started motivates a new and important decision problem, which seems crucial to the success of these fast-fashion companies: given the constantly evolving demand information available, which products should be included in the assortment at each point in time? The problem just described seems challenging, in part because it relates to the classical trade-off known as exploration versus exploitation, usually represented via the multiarmed bandit problem. In this thesis we analyze the dynamic assortment problem under different sets of assumptions, including: (i) without lost sales; (ii) with lost sales but observable demand; (iii) with lost sales and censored information; and (iv) with time varying demand rates. In each case we formulate an appropriate model and suggest a (near-optimal) policy that can be implemented in practice, together with associated suboptimality bounds. We also study the incorporation of substitution effects and the extension of the models to a generic family of demand distributions. The common solution approach involves the Lagrangian relaxation and the decomposition of weakly coupled dynamic programs.<br>(cont.) The dissertation makes three contributions: (1) it is the first attempt in providing mathematical optimization models with near-optimal solutions for the dynamic assortment problem faced by a fast-fashion retailer; (2) our analysis contributes to the literature on the multiarmed bandit problem, in particular for its finite-horizon version, we derive a general closed-form dynamic index policy that performs remarkably well; and (3) the solution approach contributes to the emerging literature on duality in dynamic programming.<br>by Felipe Caro.<br>Ph.D.
12
Mayzlin, Dina. "Word of mouth and marketing : influencing and learning from consumer conversations." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/40020.
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Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.<br>Includes bibliographical references.<br>This thesis contains three separate essays that deal with word of mouth. In the first essay, "Promotional Chat on the Internet," we analyze the firms' incentives to anonymously supply positive reviews of products in chat rooms and other recommendation sites. This, in turn, lowers the credibility of word of mouth transmitted online. We develop a game theoretic model where an incumbent and an entrant that are differentiated in quality compete for the same online market segment. The consumers are uncertain about the entrant's quality, whereas the firms know the value of their products. The consumers hear messages online that make them aware of the existence of the entrant as well as help them decide which product is superior. We find a unique equilibrium where online word of mouth is informative despite the promotional chat activity by competing firms. In this equilibrium, we find that firms spend more resources chatting up inferior products. We also find that promotional chat may be actually more beneficial to consumers than a system with no promotional chat. In the second essay, "Using Online Conversations to Measure Word of Mouth Communication," we test a long-held belief that word of mouth recommendations have a tremendous influence on the sales of new products. So far, there has been little empirical evidence to support this belief since, before the advent of the Internet, word of mouth recommendations were exchanged in private conversations that left no documentary evidence. The Internet provides a window into some of these private conversations and thus a means of measuring word of mouth activity.<br>(cont.) We pose the following pragmatic question: can we use these data to measure word-of-mouth and predict future product sales? We develop and test a model that predicts which metrics of online discussion activity should be correlated with long-run performance. Our empirical findings demonstrate that certain measures of online word-of-mouth are predictive of sales though their predictive power varies significantly over the show's lifetime. Finally, in the third essay, "The Influence of Social Networks on the Effectiveness of Promotional Strategies," we examine the role of social network in word of mouth. The defining characteristic of "buzz" strategies is that the sellers approach the consumers directly, either in online chat rooms or in physical locations such as cafes or nightclubs. The goals of such strategies are twofold: to turn the approached consumer into a buyer and a missionary. The basic characteristic of buzz is that its diffusion is dependent on one's neighbors in the network in contrast to advertising, which allows the firm to communicate with consumers independently of their neighbors. We examine the network's moderating effect on the payoff from firm's investment to promote buzz. In addition, we compare the effectiveness of buzz promotion versus mass advertising as stand-alone marketing instruments and also analyze an advertising campaign that consists of both instruments.<br>by Dina Mayzlin.<br>Ph.D.
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Götzelt, Kai-Uwe. "Customer focused E-Learning Einsatz, Gestaltung und Anwendungssysteme." Lohmar Köln Eul, 2009. http://d-nb.info/1003056261/04.
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Lange, Marie. "Food Safety Learning in Home and Consumer Studies : Teachers' and Students' Perspectives." Doctoral thesis, Uppsala universitet, Institutionen för kostvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-317337.
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The aim of this thesis was to explore food safety as part of Home and consumer studies (HCS) education in Swedish compulsory school. Firstly, a nationwide web-based questionnaire was performed among HCS teachers to obtain an overall picture of their knowledge, behaviour and attitudes regarding food safety. The second study was a questionnaire among school Year 9 students, where the data were collected using a student response system. The questions were related to the students’ food safety knowledge and behaviour, as well as cooking habits and sources of food safety knowledge and trust. Finally, qualitative interviews were performed among HCS teachers regarding their didactic choices of teaching content. The results indicated a routine behaviour connected to cleaning practices and teaching regarding different perishable food to differ between teachers. The students’ food safety knowledge and behaviour were reported to be inadequate, especially among boys, and that students might leave school without having learnt even basic food safety principles. Mothers and thereby the home were reported to be an important as well as a trusted source of food safety knowledge, especially among the girls. Boys reported HCS to also be an important as well as trusted source, especially students that rarely or never reported to cook at home. For those students HCS must be seen as particularly valuable. To increase the students’ learning, the teaching needs to be related to the students’ everyday practices and to be more reflective in order for it to be practiced outside the HCS classroom. The teachers’ didactic choices could imply consequences for the students’ food safety learning and a need for more education and updated information for the teachers was noticed. In summary, the results indicate that risk areas related to all the Four Cs in Food safety (Cooking, Cleaning, Chilling and avoidance of Cross-contamination) need to be highlighted in HCS teaching and for food safety to become a conscious didactic choice for the teachers. As teaching regarding food safety in HCS seem to differ it needs to be highlighted in HCS policy documents to ensure equivalent food safety learning for all students in compulsory school.
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LeLou-Matte, Dawn. "Inclusion of moderate/severe cognitively disabled students in family and consumer education." Online version, 2001. http://www.uwstout.edu/lib/thesis/2001/2001lelou-matted.pdf.
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Benediktsson, Birkir, Jonas Levenius, and Sebastian Ramos. "Engaging the consumer online : A quantitative study of attaining consumer engagement through social media in the luxury fashion segment." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76564.
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Good communication is an important factor for a firm to think about when wanting to engage their consumers. Recently there has been an interest over the concept of consumer engagement within the context of social media by business practitioners. Social media today is used in most aspects of life and it is important to understand how to use it in order to enhance business strategies when approaching consumers. Consumer engagement has been defined through existing research in different ways, having no clear model for practitioners to follow when attempting to engage consumers. This is one of the main problems within existing research, as well as each focusing on different social media triggers. It is important to understand which triggers are more relevant when trying to attain consumer engagement. As well as bringing up the benefits that comes from utilizing such a concept. Research regarding consumer engagement within social media is required within a different context, in order to determine the triggers relevancy to the concept of engagement. Therefore, the purpose of this study is about attaining consumer engagement through the use of social media in the luxury fashion segment, which was done through the use of Brodie et al conceptual model of consumer engagement. The research that was conducted was of a quantitative nature, utilizing a cross-section research design. To gather primary data a questionnaire was created and distributed through social media, where 101 respondents out of a desired 90 were used for the analysis. The data gathered through the questionnaire was then analysed through the statistical program of SPSS, where descriptive statistics, a correlation analysis and a regression analysis were conducted. This was done in order to ensure the validity and reliability, as well as getting results to accept or rejected the presented hypotheses. The findings of this paper show that each of the five independent variables has a significant effect on the dependent variable of consumer engagement when tested on their own. However, when all the variables were tested together three out of the five hypotheses presented were rejected, these being the independent variables of co-developing, advocating and socializing. This does not mean that the variables for which hypotheses got rejected should be disregarded according to the results obtained from the regression analysis, according to the data gathered these triggers are still individually relevant to the attainment of consumer engagement within the luxury fashion segment via social media.
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Kirchner, Jens. "Context-Aware Optimized Service Selection with Focus on Consumer Preferences." Doctoral thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-54320.
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Cloud computing, mobile computing, Service-Oriented Computing (SOC), and Software as a Service (SaaS) indicate that the Internet emerges to an anonymous service market where service functionality can be dynamically and ubiquitously consumed. Among functionally similar services, service consumers are interested in the consumption of the services which perform best towards their optimization preferences. The experienced performance of a service at consumer side is expressed in its non-functional properties (NFPs). Selecting the best-fit service is an individual challenge as the preferences of consumers vary. Furthermore, service markets such as the Internet are characterized by perpetual change and complexity. The complex collaboration of system environments and networks as well as expected and unexpected incidents may result in various performance experiences of a specific service at consumer side. The consideration of certain call side aspects that may distinguish such differences in the experience of NFPs is reflected in various call contexts. Service optimization based on a collaborative knowledge base of previous experiences of other, similar consumers with similar preferences is a desirable foundation. The research work described in this dissertation aims at an individually optimized selection of services considering the individual call contexts that have an impact on the performance, or NFPs in general, of a service as well as the various consumer preferences. The presented approach exploits shared measurement information about the NFP behavior of a service gained from former service calls of previous consumptions. Gaining selection/recommendation knowledge from shared experience benefits existing as well as new consumers of a service before its (initial) consumption. Our approach solely focuses on the optimization and collaborative information exchange among service consumers. It does not require the contribution of service providers or other non-consuming entities. As a result, the contribution among the participating entities also contributes to their own overall optimization benefit. With the initial focus on a single-tier optimization, we additionally provide a conceptual solution to a multi-tier optimization approach for which our recommendation framework is prepared in general. For a consumer-sided optimization, we conducted a literature study of conference papers of the last decade in order to find out what NFPs are relevant for the selection and consumption of services. The ranked results of this study represent what a broad scientific community determined to be relevant NFPs for service selection. We analyzed two general approaches for the employment of machine learning methods within our recommendation framework as part of the preparation of the actual recommendation knowledge. Addressing a future service market that has not fully developed yet and due to the fact that it seems to be impossible to be aware of the actual NFP data of different Web services at identical call contexts, a real-world validation is a challenge. In order to conduct an evaluation and also validation that can be considered to be close approximations to reality with the flexibility to challenge the machine learning approaches and methods as well as the overall recommendation approach, we used generated NFP data whose characteristics are influenced by measurement data gained from real-world Web services. For the general approach with the better evaluation results and benefits ratio, we furthermore analyzed, implemented, and validated machine learning methods that can be employed for service recommendation. Within the validation, we could achieve up to 95% of the overall achievable performance (utility) gain with a machine learning method that is focused on drift detection, which in turn, tackles the change characteristic of the Internet being an anonymous service market.
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Brownrigg, Vicki J. "Assessment of web-based learning in nursing : the role of social presence /." Connect to full text via ProQuest. IP filtered, 2005.
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Krishnadas, Gautham. "Data-driven modelling for demand response from large consumer energy assets." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33068.
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Demand response (DR) is one of the integral mechanisms of today's smart grids. It enables consumer energy assets such as flexible loads, standby generators and storage systems to add value to the grid by providing cost-effective flexibility. With increasing renewable generation and impending electric vehicle deployment, there is a critical need for large volumes of reliable and responsive flexibility through DR. This poses a new challenge for the electricity sector. Smart grid development has resulted in the availability of large amounts of data from different physical segments of the grid such as generation, transmission, distribution and consumption. For instance, smart meter data carrying valuable information is increasingly available from the consumers. Parallel to this, the domain of data analytics and machine learning (ML) is making immense progress. Data-driven modelling based on ML algorithms offers new opportunities to utilise the smart grid data and address the DR challenge. The thesis demonstrates the use of data-driven models for enhancing DR from large consumers such as commercial and industrial (C&I) buildings. A reliable, computationally efficient, cost-effective and deployable data-driven model is developed for large consumer building load estimation. The selection of data pre-processing and model development methods are guided by these design criteria. Based on this model, DR operational tasks such as capacity scheduling, performance evaluation and reliable operation are demonstrated for consumer energy assets such as flexible loads, standby generators and storage systems. Case studies are designed based on the frameworks of ongoing DR programs in different electricity markets. In these contexts, data-driven modelling shows substantial improvement over the conventional models and promises more automation in DR operations. The thesis also conceptualises an emissions-based DR program based on emissions intensity data and consumer load flexibility to demonstrate the use of smart grid data in encouraging renewable energy consumption. Going forward, the thesis advocates data-informed thinking for utilising smart grid data towards solving problems faced by the electricity sector.
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Qiao, Zhilei. "Consumer-Centric Innovation for Mobile Apps Empowered by Social Media Analytics." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/95983.
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Due to the rapid development of Internet communication technologies (ICTs), an increasing number of social media platforms exist where consumers can exchange comments online about products and services that businesses offer. The existing literature has demonstrated that online user-generated content can significantly influence consumer behavior and increase sales. However, its impact on organizational operations has been primarily focused on marketing, with other areas understudied. Hence, there is a pressing need to design a research framework that explores the impact of online user-generated content on important organizational operations such as product innovation, customer relationship management, and operations management. Research efforts in this dissertation center on exploring the co-creation value of online consumer reviews, where consumers' demands influence firms' decision-making. The dissertation is composed of three studies. The first study finds empirical evidence that quality signals in online product reviews are predictors of the timing of firms' incremental innovation. Guided by the product differentiation theory, the second study examines how companies' innovation and marketing differentiation strategies influence app performance. The last study proposes a novel text analytics framework to discover different information types from user reviews. The research contributes theoretical and practical insights to consumer-centric innovation and social media analytics literature.<br>PHD
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Elliott-Hart, Tirrell M. "Educating for Discipleship in Consumer Culture: Promising Practices Rooted in the Pastoral Circle." Thesis, Boston College, 2011. http://hdl.handle.net/2345/1942.
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Thesis advisor: Jane Regan<br>American society has been labeled a consumer culture. Consumer culture is not another term for materialism or a framework to explain one's relationship to money; it is an evolving ethos shaping our vision of ourselves, of our neighbor and the common good. The breadth and depth of commodification in the contemporary West informs the collective imagination in unprecedented ways. This dissertation brings together social science critique, educational tools and theological resources to create models for effective adult disciple building that are adequate for addressing challenges of a dominant culture's ideology and practices. Christian formation practices should heighten the Christian community's awareness of its role in dominant culture, both as inheritors of culture and as agents. This awareness requires transformation in many dimensions of one's being: a holistic discipleship. Jesus reminded his followers, "Where your treasure is there your heart will be also." One of the driving questions of this dissertation is: how can the Christian community wrestle ultimate concerns back from the consumer culture to the heart of God for the world? To address that question the discourse of the dissertation is interdisciplinary while maintaining an ultimate vision for an approach to educating for mature Christian discipleship. The dissertation is structured to include social analysis, a vision of alternatives to the dominant lifestyle promulgated by the consumer culture, and effective pathways toward achieving that vision. The first half of the dissertation analyzes the relationship of contemporary consumer culture and Christian experience. The sociological and historical descriptions of this phenomenon lead toward the question, what are the implications for religious identity and meaning-making in light of the consumerist context? Theological resources include the gospel of Luke, Dietrich Bonhoeffer and Gustavo Gutierrez for highlighting key dimensions of culturally responsive discipleship. There are also two brief cases presented of organizations who are attempting to live out promising approaches to Christian community in light of consumer culture patterns.The second half explores theories that can serve as a framework for Christian education practices. Transformative learning theory is introduced as a resource for cultivating awareness of underlying assumptions shaped by culture that are operative in adult decision making and worldview. Henriot and Holland's pastoral circle is described as a transformative learning tool. The dissertation moves toward a model of adapting the pastoral circle for educating congregations to think theologically about culture for the sake of personal transformation and social action<br>Thesis (PhD) — Boston College, 2011<br>Submitted to: Boston College. Graduate School of Arts and Sciences<br>Discipline: Religious Education and Pastoral Ministry
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Gruber, Verena, and Bodo B. Schlegelmilch. "How Techniques of Neutralization Legitimize Norm- and Attitude-Inconsistent Consumer Behavior." Springer, 2013. http://epub.wu.ac.at/4025/1/gruber.pdf.
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In accordance with societal norms and values, consumers readily indicate their positive attitudes towards sustainability. However, they hardly take sustainability into account when engaging in exchange relationships with companies. To shed light on this paradox, this paper investigates whether defense mechanisms and the more specific concept of neutralization techniques can explain the discrepancy between societal norms and actual behavior. A multi-method qualitative research design provides rich insights into consumers' underlying cognitive processes and how they make sense of their attitude-behavior divergences. Drawing on the Ways Model of account-taking, which is advanced to a Cycle Model, the findings illustrate how neutralization strategies are used to legitimize inconsistencies between norm-conforming attitudes and actual behavior. Furthermore, the paper discusses how the repetitive reinforcement of neutralizing patterns and feedback loops between individuals and society are linked to the rise of anomic consumer behavior. (authors' abstract)
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Abuhamad, Grace M. (Grace Marie). "The fallacy of equating "blindness" with fairness : ensuring trust in machine learning applications to consumer credit." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122094.
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 75-82).<br>Fifty years ago, the United States Congress coalesced around a vision for fair consumer credit: equally accessible by all consumers, and developed on accurate and relevant information, with controls for consumer privacy. In two foundational pieces of legislation, the Fair Credit Reporting Act (FCRA) and the Equal Credit Opportunity Act (ECOA), legislators described mechanisms by which these goals would be met, including, most notably, prohibiting certain information, such as a consumer's race, as the basis for credit decisions, under the assumption that being "blind" to this information would prevent wrongful discrimination. While the policy goals for fair credit are still valid today, the mechanisms designed to achieve them are no longer effective.<br>The consumer credit industry is increasingly interested in using new data and machine learning modeling techniques to determine consumer creditworthiness, and with these technological advances come new risks not mitigated by existing mechanisms. This thesis evaluates how these "alternative" credit processes pose challenges to the mechanisms established in the FCRA and the ECOA and their vision for fairness. "Alternative" data and models facilitate inference or prediction of consumer information, which make them non-compliant. In particular, this thesis investigates the idea that "blindness" to certain attributes hinders consumer fairness more than it helps since it limits the ability to determine whether wrongful discrimination has occurred and to build better performing models for populations that have been historically underscored.<br>This thesis concludes with four recommendations to modernize fairness mechanisms and ensure trust in the consumer credit system by: 1) expanding the definition of consumer report under the FCRA; 2) encouraging model explanations and transparency; 3) requiring self-testing using prohibited information; and 4) permitting the use of prohibited information to allow for more comprehensive models.<br>This work was partially supported by the MIT-IBM Watson AI Lab and the Hewlett Foundation through the MIT Internet Policy Research Initiative (IPRI)<br>by Grace M. Abuhamad.<br>S.M. in Technology and Policy<br>S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society
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Atwood, April Marie. "An experimental investigation of the effects of sounds on consumer learning and evaluation of a persuasive audio message." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1277406979.
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Lohse, Thim. "Machine Learning in Banking : Exploring the feasibility of using consumer level bank transaction data for credit risk evaluation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255017.
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The financial industry is changing rapidly as a result of the increasing digitization of financial and economic resources and services. With a continuous increase in online payments and decrease in the usage of physical currency a new data source of fine-grained payment activities describing consumer behaviour has emerged. In the banking industry, this is an information source which has not yet been utilized to its full extent. The possibility of converting this data to meaningful information has the potential use in improving credit risk modelling and loan application screening.This work explore the feasibility of using transaction data for credit risk assessment by means of evaluating the correlation between financial behaviour derived from account statistics, and credit risk classification using the XGBoost machine learning algorithm. The XGBoost models were trained using a real world data set from a large Swedish bank consisting of 40 million raw transactions made by a random sample of 30000 individuals which have all been granted private consumer-level loans between 20000-350000 SEK without security.The results show that there exists a correlation between financial behaviour and credit risk classification. Payment frequency and general account balance statistics were identified as the primary drivers for risk classification decisions. Intra-monthly features resulted in the best performance for models trained on 5 risk classes as well as 2 risk classes (lowest and highest) reaching macroaverage ROC-AUC scores of 0.8 and 0.82, and macro-average f1-scores of0.39 and 0.79 respectively. Further investigation has been deemed necessary to determine if the correlation found implies causation..<br>Finansindustrin förändras snabbt som ett resultat av den ökande digitaliseringen av finansiella och ekonomiska resurser och tjänster. Med en kontinuerlig ökning av onlinebetalningar och minskad användning av fysisk valuta har en ny datakälla av detaljerad betalningsaktivitet som beskriver konsumentbeteendet uppstått. I banksektorn är detta en informationskälla som ännu inte utnyttjats i sin fulla omfattning. Möjligheten att konvertera denna data till meningsfull information har potential att användas för att förbättra kreditriskmodellering och lånansökningsprocesser.Detta arbete undersöker möjligheten att använda transaktionsdata för kreditriskbedömning genom att utvärdera sambandet mellan ekonomiskt beteende härlett från kontostatistik och kreditriskklassificering med hjälp av maskininlärningsalgoritmen XGBoost. XGBoost-modellerna tränades med hjälp av ett dataset från en stor svensk bank bestående av 40 miljoner råtransaktioner gjorda av ett slumpmässigt urval av 30000 personer som alla har blivit beviljade privata konsumentlån mellan 20000-350000 SEK utan säkerhet.Resultaten visar att det finns en korrelation mellan finansiellt beteende och kreditriskklassificering. Betalningsfrekvens och allmän balansstatistik identifierades som de främsta drivkrafterna för beslut om riskklassificering. Egenskaper inom månaden gav de bästa resultaten för modeller tränade på 5 riskgrupper respektive 2 riskgrupper (lägsta och högsta) som uppnådde makroaverage ROC-AUC-score på 0.8 och 0.82 och macro-average f1-score på 0.39 respektive 0.79. Ytterligare fortsatt arbete har ansetts vara nödvändigt för att avgöra om den funna korrelationen implicerar ett orsakssamband.
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Mutlu, Nevin. "Optimal demand shaping strategies for dual-channel retailers in the face of evolving consumer behavior." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/79657.
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The advent of the Internet has not only enabled traditional brick-and-mortar retailers to open online channels, but also provided a platform that facilitated consumer-to-consumer information exchange on retailers and/or products. As a result, the purchasing decisions of today's consumers are often affected by the purchasing decisions of other consumers. In this dissertation, we adopt an interdisciplinary approach that brings together tools and concepts from operations management, economics, systems dynamics and marketing literatures to create analytical models in order to address a dual-channel retailer's optimal demand shaping strategy, through e-commerce advertisement efforts, store service levels, and pricing, in this new environment. Our findings show that the retailer's optimal demand shaping strategy, in terms of store service levels and e-commerce advertisement effort, critically depends on the product's e-commerce adoption phase. We also show that in the presence of higher operating costs for the store channel compared to the online channels, a channel-tailored pricing policy always dominates a uniform pricing strategy. Our work sheds light on the benefits of channel integration for multi-channel retailers. We show that the retailer can leverage the online channels to provide in-store pricing and inventory availability information in order to enable a more transparent shopping experience for consumers, and this strategy results in a "win-win" situation for all parties.<br>Ph. D.
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Mazumdar, Tridib. "The effects of learning intentions and choice task orientations on buyers' knowledge of price: an experimental investigation." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/53645.
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This dissertation examines the process by which buyers encode and store price information in their memories and how the information is retrieved when such a need arises. Using theories in human learning and memory, it has been argued that buyers’ learning of price information is primarily influenced by their learning plans and the criteria they use pin choice decisions. Because of the differences in learning and choice task orientations, buyers are postulated to encode and store the information differently and therefore, different memory tests are necessary to investigate the retrieval mechanisms and thereby making inferences about their knowledge of price. While it is recognized that buyers may encode and retrieve price information in many different ways, this research has examined the differential impact of learning and choice task orientations on their recall, recognition, and ranking performances.
The hypotheses developed in this research were tested in a laboratory experiment using ninety women shoppers as subjects. The two levels of learning (incidental and intentional) and the three levels of choice task orientations (non-price, mixed, and price) were fully crossed in a 2 x 3 full-factorial between-subjects design. Subjects, after being randomly assigned to one of the six experimental conditions took part in a simulated grocery shopping. Having made their selections, subjects responded to recall, recognition, and ranking memory tests involving prices of the items selected. Subjects also indicated their confidence about the accuracy of their responses. The accuracy and confidence ratings were used as dependent measures when testing the hypotheses. Since accuracy measures were dichotomous (correct or incorrect) in nature, loglinear modes were tested using maximum likelihood estimation procedure. For continuous dependent measure (e.g. confidence), ordinary least square estimations were carried out in a univariate ANOVA framework. In addition, several multiple comparison procedures were used to test differences between mean accuracy and confidence scores.
The data analysis supported fifteen out of sixteen hypothesized relationships. The results supported the argument that buyers’ learning of price information improves with greater use of price in their choice decisions and with greater need to remember the information for later use. Overall, recognition was found to be a more appropriate retrieval mechanism than recall. Need for remembering specific prices did not significantly improve buyers° ability to rank items in terms of their expensiveness.
The conceptualization and the research results are expected to make both theoretical and methodological contributions in pricing research. Particularly, the issues involving formation of reference prices and the manner in which the internal reference prices are retrieved and used in iii choice decisions are partially addressed using a consumer information processing perspective. Nonetheless, future research is needed to resolve additional issues in price perception research.<br>Ph. D.
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Anthony, Kathleen Hope. "Exploring Helper and Consumer Partnerships That Facilitate Recovery From Severe Mental Illness." Bowling Green State University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1131125531.
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Feiereisen, Stephanie. "Consumer responses to really new products : Examining the impacts of learning strategies and presentation formats on product comprehension and attitude formation." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15305/.
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Mental simulations and analogies have been identified as powerful learning tools for RNPs. Furthermore, visuals in advertising have recently been conceptualized as meaningful sources of information as opposed to peripheral cues and thus may help consumers learn about RNPs. The study of visual attention may also contribute to understanding the links between conceptual and perceptual analyses when learning for a RNP. Two conceptual models are developed. the first model consists of causal relationships between the attributes of advertising stimuli for RNPs and consumer responses, as well as mediating influences. The second model focuses on the role of visual attention in product comprehension as a response to advertising stimuli. Two experiments are conducted: a Web-Experiment and an eye-tracking experiment. The first experiment (858 subjects) examines the effect of learning strategies (mental simulation vs. analogy vs. no analogy/no mental simulation) and presentation formats (words vs. pictures) on individual responses. The mediating role of emotions is assessed. The second experiment investigates the effect of learning strategies and presentation formats on product comprehension, along with the role of attention (17 subjects). The findings from experiment 1 indicate that learning strategies and presentation formats can either enhance or undermine the effect of advertising stimuli on individual responses. Moreover, the nature of the product (i.e. hedonic vs. utilitarian vs. hybrid) should be considered when designing communications for RNPs. The mediating role of emotions is verified. Experiment 2 suggests that an increase in attention to the message may either reflect enhanced comprehension or confusion.
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Malmberg, Olle, and Bobby Zhou. "Using Machine Learning to Detect Customer Acquisition Opportunities and Evaluating the Required Organizational Prerequisites." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263056.
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This paper aims to investigate whether or not it is possible to identify users who are about change provider of service with machine learning. It is believed that the Consumer Decision Journey is a better model than traditional funnel models when it comes to depicting the processes which consumers go through, leading up to a purchase. Analytical and operational Customer Relationship Management are presented as possible fields where such implementations can be useful. Based on previous studies, Random Forest and XGBoost were chosen as algorithms to be further evaluated because of its general high performance. The final results were produced by an iterative process which began with data processing followed by feature selection, training of model and testing the model. Literature review and unstructured and semi-structured interviews with the employer Growth Hackers Sthlm were also used as methods in a complementary fashion, with the purpose of gaining a wider perspective of the state-of-the-art of ML-implementations. The final results showed that Random Forest could identify the sought-after users (positive) while XGBoost was inferior to Random Forest in terms of distinguishing between positive and negative classes. An implementation of such model could support and benefit an organization’s customer acquisition operations. However, organizational prerequisites regarding the data infrastructure and the level of AI and machine learning integration in the organization’s culture are the most important ones and need to be considered before such implementations.<br>I det här arbetet undersöks huruvida det är möjligt att identifiera ett beteende bland användare som innebär att användaren snart ska byta tillhandahållare av tjänst med hjälp av maskininlärning. Målet är att kunna bidra till ett maskininlärningsverktyg i kundförvärvningssyfte, såsom analytical och operational Customer Relationship Management. Det sökta beteendet i rapporten utgår från modellen ”the Consumer Decision Journey”. I modellen beskrivs fyra faser där fas två innebär att konsumenten aktivt söker samt är mer mottaglig för information kring köpet. Genom tidigare studier och handledning av uppdragsgivare valdes algoritmerna RandomForest och XGBoost som huvudsakliga algoritmer som skulle testas. Resultaten producerades genom en iterativ process. Det första steget var att städa data. Därefter valdes parametrar och viktades. Sedan testades algoritmerna mot testdata och utvärderades. Detta gjordes i loopar tills förbättringar endast var marginella. De slutliga resultaten visade att framförallt Random Forest kunde identifiera ett beteende som innebär att en användare är i fas 2, medan XGBoost presterade sämre när det kom till att urskilja bland positiva och negativa användare. Dock fångade XGBoost fler positiva användare än vad Random Forest gjorde. I syfte att undersöka de organisatoriska förutsättningarna för att implementera maskininlärning och AI gjordes litteraturstudier och uppdragsgivaren intervjuades kontinuerligt. De viktigaste förutsättningarna fastställdes till två kategorier, datainfrastruktur och hur väl AI och maskininlärning är integrerat i organisationens kultur.
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Fandrich, Thomas [Verfasser]. "Essays on Learning from Consumer Response to Support Marketing Mix Decisions : Empirical Applications to Decisions on Product, Price and Promotion / Thomas Fandrich." Kiel : Universitätsbibliothek Kiel, 2013. http://d-nb.info/1045859125/34.
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Chuo, Chun-Huei. "An investigation of incidental vocabulary learning using English online consumer electronics reviews with undergraduates of Computer Science and related disciplines in Taiwan." Thesis, Queen's University Belfast, 2017. https://pure.qub.ac.uk/portal/en/theses/an-investigation-of-incidental-vocabulary-learning-using-english-online-consumer-electronics-review-with-undergraduates-of-computer-science-edd-tesol(47741b0c-1aa6-4838-8fff-8ac44dd2c59b).html.
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Teaching English vocabulary explicitly is a popular method employed in language classrooms in Taiwan (Chou, 2011). Schmitt (2008) argues that both explicit and incidental learning are necessary for second language vocabulary acquisition and should be seen as complementary. It is generally considered that extensive reading may promote incidental vocabulary learning (Schmitt, 2010). The present study seeks to design an English reading course for Taiwanese undergraduates using online consumer electronics reviews as authentic materials so as to provide opportunities for incidental vocabulary learning to occur. The study was divided into three stages. In Stage One, a corpus-based study was undertaken to create and analyze a corpus of online consumer electronics reviews in order to establish a wordlist, which was used as target words of a vocabulary test in the next stage. In Stage Two, a 12-week classroom investigation was carried out through mixed methods in action research. Action research can monitor learners’ learning situation through spirals of ‘planning, acting, observation, reflection’ (Costello, 2003) and refine the practice to ensure that students are involved in reading. Only when learners are actually involved in reading can incidental vocabulary learning be investigated. A quasi-experimental design was conducted to evaluate students’ incidental vocabulary gains. Students’ perceptions and experiences of being involved in the investigation of incidental vocabulary learning were examined through action research cycle and follow-up focus group interviews in Stage Three. From the quantitative data, the results indicated that the students could learn vocabulary incidentally through online extensive reading. The data also allowed for the assessment of partial word knowledge, which presented the incremental nature of incidental vocabulary learning. The qualitative data revealed a number of main themes in relation to students’ experiences and perceptions of online extensive reading and incidental vocabulary learning. The students also reported strategies they used for dealing with unknown words while reading. The study has presented an alternative approach for English vocabulary instruction to enhance both students’ vocabulary learning and reading motivation.
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Kennedy-Tucker, Patricia Elaine. "Direct-to-Consumer Advertising of Drugs and Patients' Health Care Seeking Behaviors." ScholarWorks, 2014. https://scholarworks.waldenu.edu/dissertations/42.
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Known as direct-to-consumer advertising (DTCA), pharmaceutical companies in the United States are permitted to advertise prescription drugs directly to consumers. The purpose of this quantitative study was to determine if an association exists between DTCA and health care-seeking behaviors. The theoretical framework for this study involved social learning theory, information integration theory, and prospect theory. The research questions identified if exposure to DTCA (a) is associated with physician office visits, (b) influences a patient/physician conversation regarding a prescription, (c) influences requesting a prescription, and (d) has an impact on patients' ratings of the overall interaction with the physician. Data were derived from an online survey adapted from the U.S. Food and Drug Administration. Participants included 235 college-affiliated adults. Data were analyzed using descriptive statistics and analysis of variance. The Bonferroni correction was used to control the family-wise Type I error rate. The most significant findings of this study are that DTCA is associated with patients asking more questions, having more office visits, and patients having a lower overall health status. Future researchers should consider a non-college-affiliated sample and the post-implementation impact of the Affordable Care Act. This study helps to address the community challenges of how DTCA impacts prescription drug use and costs, as well as patients' understanding of the associated risks. Having knowledge of the impact of DTCA can help patients and their communities, employers, and governments make more informed decisions that will positively impact their health, wellbeing, and prescription expenses.
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Koutsogianopoulos, Ralia. "Thonging for identity : learning about girlhood, sexuality and feminity in a tween retail space." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83190.
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Children learn from a variety of sources. One of the most powerful pedagogical sites for kids is the consumer sphere. Marketers recognize this and have recently carved out a new consumer niche for those between childhood and adolescence, marking them as tweens. La Senza Corporation, which specializes in women's lingerie, responded to this trend by opening a tween store with a name heavily laden with meanings of sexuality: La Senza Girl. This study will apply a textual analysis to the tween retail space, in an effort to understand the informal pedagogy that takes place within this milieu. While La Senza Girl celebrates girlhood by creating a space that tween girls can call their own, it is important to take stock of the meanings of girlhood being celebrated. This study interrogates La Senza Girl's 'pedagogies' of femininity, sexuality and girlhood.
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Marzilli, Michael Dean, and Michael Howard Minier. "The use of manipulatives and thematic units to aid with learning, to create interest, and to increase involvement for at-risk students in consumer math." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1473.
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Oliveira, Luciana Nery de. "Comportamento do consumidor de educação superior a distância: análise das características influenciadoras e do processo de compra numa instituição baiana de ensino superior privado." Universidade Federal da Bahia, 2010. http://www.adm.ufba.br/sites/default/files/publicacao/arquivo/luciana_nery_de_oliveira.pdf.
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Previous issue date: 2010<br>O presente estudo se dedica a pesquisar o comportamento do consumidor de ensino
superior privado de educação a distância, usando a parte central do modelo
“Estímulo Resposta”, apresentado por Kotler (2007) e suas subdivisões: as
características do público e o processo de compra do consumidor. Para isso, foi
realizado um estudo preliminar de caso numa das mais importantes Instituições de
Ensino Superior do Nordeste, utilizando como principal instrumento de coleta de
dados um questionário semiestruturado; e como universo amostral, alunos
matriculados no primeiro trimestre de 2010, que frequentavam os encontros
presenciais na cidade de Salvador. Os resultados sugerem que não há diferenças
expressivas nas características demográficas e socioeconômicas entre o público da
Instituição pesquisada e o das demais Instituições de Ensino Superior de Educação
a Distância nacionais. As respostas apontam também que, especialmente nos
momentos anteriores à matrícula, eram bastante positivas as avaliações que os
alunos faziam da Instituição, objeto deste estudo, no que tange aos aspectos
psicológicos descritos pelo autor do modelo: percepção, motivação, aprendizagem e
atitudes. Na análise do processo de compra, foram identificadas necessidades de
ajustes, especialmente, em duas fases: no momento de captação de seu público,
quando as respostas apontam que os alunos se matriculam sem conhecer o projeto;
e na fase denominada “pós-compra”, quando foram identificados fortes indícios da
existência de dissonância cognitiva. Caso a Instituição decida considerar e adotar os
resultados deste trabalho, a própria literatura do comportamento do consumidor é
recomendada para correção dos aspectos críticos que foram detectados pela
pesquisa. Nessa tarefa, conta com a força da marca, também identificada através
das respostas coletadas. Independente das informações direcionadas à Instituição
alvo, acredita-se que, por extensão, a pesquisa deverá contribuir com os estudos de
marketing educacional e servir como auxílio às Instituições de Educação Superior a
Distância, que pretendem conhecer mais profundamente esse tipo de consumidor.<br>Salvador
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Josion-Portail, Margaret. "Comment parents et grands-parents influencent l’apprentissage du "bien manger" chez l’enfant : contribution de la transmission intergénérationnelle dans le contexte de la consommation alimentaire." Thesis, Paris 1, 2014. http://www.theses.fr/2014PA010014.
Full textAbstract:
La question de la transmission intergénérationnelle du « bien manger » se trouve aujourd’hui au cœur des préoccupations des pouvoirs publics, qui souhaitent promouvoir auprès des jeunes générations une conception de la « bonne » alimentation dépassant le cadre de l’équilibre alimentaire ; or, paradoxalement, la littérature sur le rôle des acteurs familiaux dans le développement des connaissances de l’enfant liées à cette conception élargie de la « bonne » alimentation est assez succincte. A l’appui d’études documentaire, qualitative et quantitative menées auprès de parents et de grands-parents, cette recherche analyse le rôle des grands-parents, et parents, dans l’apprentissage du « bien manger » chez l’enfant. Les contributions de ce travail se situent à plusieurs niveaux (1) définition et conceptualisation du construit du « bien manger » (2) identification du rôle spécifique des grands-parents dans la transmission du « bien manger » à l’enfant (3) comparaison entre les parents et les grands-parents des représentations sociales du « repas où les enfants ont bien mangé » et des pratiques de transmission (4) analyse des variables explicatives des pratiques de transmission intergénérationnelle du « bien manger » (représentations du « bien manger », générativité, centralité du rôle parental et grand-parental, reconnexion au passé personnel)<br>Recently, the question of how to develop the intergenerational transmission of “eating well“ practices, conceived more broadly than “eating healthy”, has received greater attention from public policy makers. However, quite surprisingly, the academic literature in this area is rather scarce. Adopting different methodological approaches – document content analysis, qualitative analysis and quantitative analysis - , this research sheds light on how the intergenerational transmission contributes to children’s learning of “eating well” within families, and on the particular role of grandparents, in comparison with parents, in this process. Theoretical contributions are provided at different levels (1) we define and conceptualize the “eating well” construct (2) we identify the specific role of grandparents in the intergenerational transfer of “eating well” (3) we compare the structure of social representations of “a meal where children have eaten well”, as well as transmission practices, between grandparents and parents; (4) we measure the influence of relevant variables (representations, generativity, parental and grandparental role centrality and reinvolvement with personal past) on intergenerational transmission of practices related to “eating well”
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Ibdaiwi, Thiago Kader Rajeh. "DETERMINAÇÃO DAS CARACTERÍSTICAS DE PREFERÊNCIA DOS ALUNOS NA ESCOLHA DE UMA INSTITUIÇÃO DE ENSINO SUPERIOR PRIVADA NA CIDADE DE SANTA MARIA RS." Universidade Federal de Santa Maria, 2009. http://repositorio.ufsm.br/handle/1/8127.
Full textAbstract:
Understanding consumers and the consuming process supply a series of benefits. Among these benefits are the support to managers in their decisions, the supply of a knowledge basis in which marketing researchers are able to analyze
consumers, the support to legislators and controllers in the creation of laws and regulations regarding to the goods and service purchase and the support to the
consumer in their best decision making. Besides that, the study which involves the consumer s behaviour can help us to understand the factors of the social science which influence the human s behaviour. The importance of understanding the consumer is found in the marketing definition as a human activity directed to supply needs and desires through the trade s process. In fact, the consumer s sovereignty principle is the central point in which the marketing area is based on. According to this concept, the consumer is supposed to be in the center of
marketing efforts. The general knowledge of the consumer s behaviour has also a personal value. It is possible to help people to become the best consumers through the identification of factors which influence their own consuming activities, among them it can be mentioned the choice private institution of higher learning.<br>Compreender os consumidores e o processo de consumo proporciona uma série de benefícios. Entre eles estão: o auxílio aos gerentes em suas tomadas de decisões, o fornecimento de uma base de conhecimentos a partir dos quais
pesquisadores de marketing podem analisar os consumidores, o apoio aos legisladores e controladores na criação de leis e regulamentos referentes à compra de mercadorias e serviços e o auxílio ao consumidor na tomada de melhores decisões de compra. Além disso, o estudo que envolve o comportamento dos consumidores pode auxiliar a compreender os fatores da
ciência social que influenciam o comportamento humano. A importância de se compreender o consumidor é encontrada na definição de marketing como uma atividade humana direcionada a satisfazer necessidades e desejos por meio de
processos de troca. Na verdade, o princípio de soberania do consumidor é o ponto central no qual se baseia a área de marketing. De acordo com esse conceito, o consumidor deve estar no centro dos esforços de marketing. O conhecimento geral do comportamento do consumidor também tem um valor
pessoal. É possível ajudar as pessoas a se tornar melhores consumidores por meio da identificação de fatores que influenciam suas próprias atividades de consumo, entre elas pode-se citar a escolha de uma instituição de ensino
superior privada.
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Donadio, Mauro. "Progettazione e sviluppo di estensioni per AContent." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4553/.
Full textAbstract:
In questo documento di tesi viene descritta la progettazione e la realizzazione di estensioni per il sistema di authoring AContent. L'idea è di creare un'estensione dell'authoring tool che implementi il concetto di template ovvero strumenti di grande efficacia e di facile utilizzo nelle fasi di redazione dei contenuti. Si prevede di aggiungerli ad AContent senza la necessità di integrare un intero motore di template ma utilizzando strutture dati esistenti e specifiche standard di e-learning. I servizi aggiuntivi da offrire agli autori sono stati organizzati secondo tre approcci diversi da cui sono emersi tre livelli di template. Il Template di Layout che determina l'aspetto grafico dei contenuti, il Template di Pagina che definisce la struttura di ogni singola pagina e il Template di Struttura che propone e imposta un modello per la struttura dell'intero contenuto didattico.
Il documento è costituito da una seconda parte di progetto che va a coinvolgere il sistema ATutor e pone grande attenzione sulle caratteristiche di interoperabilità fra l'authoring AContent e il LCMS ATutor. Lo scopo è quello di estendere le funzionalità di integrazione dei contenuti del sistema così da presentare materiale didattico esterno archiviato in AContent. Viene trattata l'integrazione di LTI all'interno dei due sistemi considerati assegnando i ruoli di Tool Provider (AContent), fornitore di contenuti didattici remoti e Tool Consumer (ATutor), richiedente di tali contenuti. Sono considerati, infine, i due moduli di ATutor AContent Repository e External Tool che si occupano di importare materiale didattico da AContent tramite il Web Service REST. Si prevede la loro modifica affinché, attraverso il canale di comunicazione LTI stabilito, siano in grado di creare dei Live Content Link ovvero riferimenti a contenuti remoti (esterni alla piattaforma utilizzata) aggiornati in tempo reale. Infatti, a differenza di una normale importazione di un LO esterno è previsto che venga creano un "riferimento". In questo modo, la modifica di una pagina sul Tool Provider AContent si ripercuoterà istantaneamente su tutti i contenuti dei Tool Consumer che hanno instaurato un Live Content Link con il provider.
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Gattoni, Giacomo. "Improving the reliability of recurrent neural networks while dealing with bad data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Find full textAbstract:
In practical applications, machine learning and deep learning models can have difficulty in achieving generalization, especially when dealing with training samples that are either noisy or limited in quantity.
Standard neural networks do not guarantee the monotonicity of the input features with respect to the output, therefore they lack interpretability and predictability when it is known a priori that the input-output relationship should be monotonic. This problem can be encountered in the CPG industry, where it is not possible to ensure that a deep learning model will learn the increasing monotonic relationship between promotional mechanics and sales. To overcome this issue, it is proposed the combined usage of recurrent neural networks, a type of artificial neural networks specifically designed to deal with data structured as sequences, with lattice networks, conceived to guarantee monotonicity of the desired input features with respect to the output. The proposed architecture has proven to be more reliable when new samples are fed to the neural network, demonstrating its ability to infer the evolution of the sales depending on the promotions, even when it is trained on bad data.
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Cheng, Yu-Ju, and 鄭鈺如. "Study On Consumer Value Structures of E-learning." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/16162939473150586340.
Full textAbstract:
碩士<br>國立成功大學<br>企業管理學系碩博士班<br>94<br>In the age of knowledge of economy, e-learning has been a wide-spreading trend. In order to explore the value structure of e-leanrner, in this study, means-end theory and laddering methodology were employed and 42 subjects were interviewed. Subjects were divided into two groups, attend e-learning course and face-to-face learning course. The course versions differed only in that face- to-face lectures were replaced with e-learning modules; the other course elements remain the same. The results of interviews were categorized with content analysis method and expressed in Hierarchical Value Map (HVM).
The research found that, though e-learning and face-to-face learning were with opposite attributes, all these attributes help learners to learn well. Therefore, this study explained why these contrary attributes lead to the same conclusions and values.
Finally, this study proposes the following innovative suggestions for the suppliers of e-learning: (1) offer learners “flexible lesson schedules”;(2) let learners self-pace their learning process;(3) offer “peer information and real-time consultation” ;(4) increase the “Perceived ease of use” and “Perceived usefulness”;(5) offer “gracious relationship”;(6) connect their services with “learner’s value”.
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Yu, Cheng-Yang, and 游証揚. "The Exploratory Study of Consumer Experience Journey-The Perspective of Experiential Value and Consumer Learning." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/6tyz9b.
Full textAbstract:
碩士<br>淡江大學<br>國際企業學系碩士班<br>103<br>This is the first study probing the dynamic of consumer value in a consumer journey through a viewpoint of consumer learning. Through interviewing and analyzing the dynamic of consumer journey in the perspective of consumer learning, it was found that experiential value in consumer journey would be changed when the time passed by. Most of consumers have changes of experiential value in their consumer journey. Besides, consumers would experience more than one experiential value at the same time no matter the experiential value is intrinsic or extrinsic.
And there is an interesting discovery that consumers who start their journey with extrinsic value, their main experiential values would not be extrinsic values after a long period of time passed. Consumers would put more attention on those parts that they did not notice before when having more understanding about the target product category or brand.
As for the change of pursuing experiential value, consumers learn and experience through many different ways, which make them pursue different or more than one experiential value. However, there is an interesting found that consumers still pursue the same experiential value even though they suffered bad experiences. However, it is also found that there would be a ‘derailment’ in consumer journey occurring when the brand “over treated” to their customers. And this impact of “derail of consumer journey” depends on then length of the consumer journey and the depth of the brand or the certain product category.
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Saumya, S., J. P. Singh, A. M. Baabdullah, Nripendra P. Rana, and Y. K. Dwivedi. "Ranking online consumer reviews." 2018. http://hdl.handle.net/10454/18107.
Full textAbstract:
Yes<br>Product reviews are posted online by the hundreds and thousands for popular products. Handling such a large volume of continuously generated online content is a challenging task for buyers, sellers and researchers. The purpose of this study is to rank the overwhelming number of reviews using their predicted helpfulness scores. The helpfulness score is predicted using features extracted from review text, product description, and customer question-answer data of a product using the random-forest classifier and gradient boosting regressor. The system classifies reviews into low or high quality with the random-forest classifier. The helpfulness scores of the high-quality reviews are only predicted using the gradient boosting regressor. The helpfulness scores of the low-quality reviews are not calculated because they are never going to be in the top k reviews. They are just added at the end of the review list to the review-listing website. The proposed system provides fair review placement on review listing pages and makes all high-quality reviews visible to customers on the top. The experimental results on data from two popular Indian e-commerce websites validate our claim, as 3–4 newer high-quality reviews are placed in the top ten reviews along with 5–6 older reviews based on review helpfulness. Our findings indicate that inclusion of features from product description data and customer question-answer data improves the prediction accuracy of the helpfulness score.<br>Ministry of Electronics and Information Technology (MeitY), Government of India for financial support during research work through “Visvesvaraya PhD Scheme for Electronics and IT”.
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Lovett, Mitchell James. "Unstable Consumer Learning Models: Structural Estimation and Experimental Examination." Diss., 2008. http://hdl.handle.net/10161/899.
Full textAbstract:
<p>This dissertation explores how consumers learn from repeated experiences with a product offering. It develops a new Bayesian consumer learning model, the unstable learning model. This model expands on existing models that explore learning when quality is stable, by considering when quality is changing. Further, the dissertation examines situations in which consumers may act as if quality is changing when it is stable or vice versa. This examination proceeds in two essays.</p><p>The first essay uses two experiments to examine how consumers learn when product quality is stable or changing. By collecting repeated measures of expectation data and experiences, more information enables estimation to discriminate between stable and unstable learning. The key conclusions are that (1) most consumers act as if quality is unstable, even when it is stable, and (2) consumers respond to the environment they face, adjusting their learning in the correct direction. These conclusions have important implications for the formation and value of brand equity.</p><p>Based on the conclusions of this first essay, the second essay develops a choice model of consumer learning when consumers believe quality is changing, even though it is not. A Monte Carlo experiment tests the efficacy of this model versus the standard model. The key conclusion is that both models perform similarly well when the model assumptions match the way consumers actually learn, but with a mismatch the existing model is biased, while the new model continues to perform well. These biases could lead to suboptimal branding decisions.</p><br>Dissertation
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"Unstable Consumer Learning Models: Structural Estimation and Experimental Examination." Diss., 2008. http://hdl.handle.net/10161/899.
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"Analysis of advertising strategies: consumer switching, competition and learning." 2015. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291522.
Full textAbstract:
Advertising is considered as an important strategic tool to promote product and improve sales. Extensive research has been devoted to advertising strategies and their effect on product sales. Chiefly because aggregate-level sales data are easy to collect, the prior studies predominately develop and analyze aggregate advertising models which relate product sales to advertising spending under a known sales response function. Nowadays, however, the emergence of Internet, e-commerce and data analytics approaches has made collecting data on individual consumer behavior and real-time sales feasible. Therefore, studying more sophisticated advertising models which can exploit these data is necessary and meaningful. In this dissertation, we consider two dynamic advertising models, one incorporates customer satisfaction and customer switching behavior and the other involves dynamic sales learning.<br>The first model focuses on the markets of experience goods whose quality levels are unobservable to the buyers. The buyers make the purchase decisions based on their past usage experience of the goods and the advertising outlays of the sellers. We first consider the competitive market where there are multiple brands planning their advertising campaigns. We derive the long-term steady-state equilibrium advertising strategies and market shares of the brands. We study how customer reaction to their past usage experience of the product (satisfaction) affects the sellers’ advertising strategies and market shares. We further analyze the monopoly market, where the focus is on the question of whether the monopolist should use even-level advertising or pulsing advertising strategy.<br>In the second model, we study the dynamic advertising budget allocation problems, in which the relationship between the advertising expenditure and the product sales is unknown to the retailer and the retailer can only learn this information through observing realized sales. We propose nonparametric advertising budget allocation policies for both single- and multi-product problems. We show that such policies are asymptotically optimal. In particular, for the single-product problem, by constructing a lower-bound instance, we show that our policy achieves near-best asymptotic performance.<br>广告预算的确定和分配是企业运营中一个极为重要的决策。而广告资金的动态支出策略已经被研究了数十年。由于以前可获取的数据往往仅限于市场的一些宏观数据。传统文献主要用一个已知的销售响应函数从宏观层面刻画广告支出和销售量之间的关系。现今，随着互联网，电子商务，社交媒体和数据分析方法的出现，使收集有关消费者行为和实时销售量的数据成为可能。合理地利用这些数据可以大大提高企业的广告效率。这也给广告策略的研究带来了新的契机。本论文研究两个动态广告支出策略模型，一个模型涉及顾客满意度和顾客转换行为，另外一个涉及销售响应函数的动态学习。<br>本文的第一个模型考虑体验商品市场中卖家的广告支出策略。在市场中，顾客没有办法观测到产品的真实质量，他们的产品选择受到自己之前的产品体验和卖家的广告支出的影响。我们首先考虑有竞争的市场，市场中有多个品牌同时进行广告支出决策。我们推导了市场的长期稳态平衡。研究了不同的客户满意度与顾客转换行为的关系对卖家的广告支出策略和市场份额的影响。然后，我们分析了垄断市场中垄断卖家的长期广告支出策略。此外，我们还讨论了该卖家应该使用持续的广告投入策略还是周期性脉冲广告策略的问题。<br>本文的第二个模型研究是的动态广告预算分配问题。我们假设卖家起初并不知道广告支出的销售响应函数，他只能通过观察实时销售数据来对销售响应函数进行学习。我们分别考虑了单产品和多产品的问题，并提出了相应的非参数动态广告预算分配策略。我们证明了所提出的动态预算分配策略是渐进最优的。对于单产品的问题，通过构造出一类“最坏”的响应函数，我们证明了所提出的动态预算分配策略的渐进绩效已基本接近最优。<br>Yang, Chaolin.<br>Thesis Ph.D. Chinese University of Hong Kong 2015.<br>Includes bibliographical references (leaves 133-140).<br>Abstracts also in Chinese.<br>Title from PDF title page (viewed on 12, October, 2016).<br>Detailed summary in vernacular field only.<br>Detailed summary in vernacular field only.<br>Detailed summary in vernacular field only.
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"Television advertising and student peer interaction in consumer learning." Chinese University of Hong Kong, 1993. http://library.cuhk.edu.hk/record=b5887841.
Full textAbstract:
by Matthew Hung Kee Chan.<br>Title also in Chinese characters.<br>Includes questionnaire in Chinese.<br>Thesis (M.A.Ed.)--Chinese University of Hong Kong, 1993.<br>Includes bibliographical references (leaves 54-70).<br>ABSTRACT --- p.i<br>ACKNOWLEDGEMENTS --- p.ii<br>TABLE OF CONTENTS --- p.iv<br>LIST OF TABLES --- p.vi<br>LIST OF APPENDICES --- p.vii<br>Chapter CHAPTER I： --- Introduction --- p.1<br>Socialization Agents --- p.2<br>TV Advertising as Socialization Agent --- p.7<br>Peer as Socialization Agent --- p.11<br>TV Advertising Viewing and Peer Interaction --- p.12<br>Chapter CHAPTER II: --- Consumer Learning --- p.14<br>TV Advertising and Consumer Learning --- p.17<br>Peer Interaction and Consumer Learning --- p.20<br>"TV Advertising, Peer Interaction and Consumer Learning" --- p.22<br>Chapter CHAPTER III: --- Method --- p.27<br>Subjects and Procedure --- p.27<br>Variables Assessed in the Study --- p.29<br>Chapter CHAPTER IV: --- Results --- p.31<br>Description of Sample Characteristics<br>Sex --- p.34<br>TV Viewing Time --- p.37<br>Exposure to TV Advertising --- p.38<br>Peer Interaction about TV Advertising --- p.40<br>Consumer Learning Score --- p.42<br>Analysis of Variance on Consumer Learning --- p.43<br>"by Age, Sex, TV AdvertsingViewing Time, and Peer Interaction about TV Advertising"<br>Chapter CHAPTER V: --- Discussion --- p.48<br>Summary --- p.52<br>REFERENCES --- p.54<br>APPENDICES --- p.71
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Clement, Peter. "Critical consumer issues in St. Lucia : an examination of consumer challenges and related learning among rural adults /." 2007. http://www.library.wisc.edu/databases/connect/dissertations.html.
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Chao, Mei-Lan, and 趙美蘭. "Information Length and Information Framing Effect on Consumer Cognitive Learning." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/35521261591565460954.
Full textAbstract:
碩士<br>國立交通大學<br>經營管理研究所<br>95<br>In this research, we would like to probe into the impact of information length and information framing effect on consumer cognitive learning. We use the need for cognition as the moderator to analyze how consumers’ different degrees of cognitive needs will be affected by different information length and framing. The information framing effect can be divided into primacy effect and recency effect. If people who encounter two opposing messages form judgment more consistent with the first message, a primacy effect has occurred. If the judgment is more consistent with the second (opposing) message than the first one, however, a recency effect is present. After our analyses, we draw some important conclusions. 1) Consumers who are not familiar with the topic are apt to be influenced by the information framing. 2) Consumers who are not familiar with the topic tend to have primacy effect when the first message is positive and long, and tend to have the recency effect when the second message is positive and long. 3) Compared with low need for cognition, consumers who have high need for cognition are much more influenced by information length. 4) Compared with low need for cognition, consumers who have high need for cognition are much more influenced by information framing.
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"Product selection problem: improve market share by learning consumer behavior." 2014. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291385.
Full textAbstract:
Xu, Silei.<br>Thesis M.Phil. Chinese University of Hong Kong 2014.<br>Includes bibliographical references (leaves 64-67).<br>Abstracts also in Chinese.<br>Title from PDF title page (viewed on 27, September, 2016).