Relevant bibliographies by topics / Consumer learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Consumer learning'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Consumer learning"

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Chandler, Tomasita M., and Barbara M. Heinzerling. "Learning the Consumer Role: Children as Consumers." Reference Services Review 26, no. 1 (1998): 61–95. http://dx.doi.org/10.1108/00907329810307452.

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Steils, Nadia, Alain Decrop, and Dominique Crié. "An exploration into consumers’ e-learning strategies." Journal of Consumer Marketing 36, no. 2 (2019): 276–87. http://dx.doi.org/10.1108/jcm-05-2017-2215.

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Purpose As traditional paper manuals and step-by-step instructions have shown to discourage new product learning because of a lack of exploration, the purpose of this paper is to investigate consumer learning from an online and andragogical, that is, adult learning, perspective by identifying relevant consumer e-learning processes in new product learning. Design/methodology/approach This paper uses thematic and trace analyses on a multi-method data collection, that is, extant e-learning courses, in-depth interviews and non-participant observations. Findings Emerging findings give light on customized, interactive and iterative e-learning processes depending on consumers’ previous experiences, their learning orientation as adult learners and the characteristics of the online environment. Results provide evidence for the existence of three learning strategies and show how the online environment comes shifting traditional consumer learning paradigms. Originality/value This paper contributes to the literature on consumer behavior on two levels. First, the findings highlight the importance of taking an andragogical standpoint to provide a more nuanced and realistic view on consumers’ learning processes in new product learning. Second, the results show how the exploration and interactivity provided by the online environment present beneficial prerequisites for effective consumer learning. More than just being an alternative, online learning is complementary to offline modes of learning to improve consumers’ overall learning experience.
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Aldayel, Mashael, Mourad Ykhlef, and Abeer Al-Nafjan. "Deep Learning for EEG-Based Preference Classification in Neuromarketing." Applied Sciences 10, no. 4 (2020): 1525. http://dx.doi.org/10.3390/app10041525.

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The traditional marketing methodologies (e.g., television commercials and newspaper advertisements) may be unsuccessful at selling products because they do not robustly stimulate the consumers to purchase a particular product. Such conventional marketing methods attempt to determine the attitude of the consumers toward a product, which may not represent the real behavior at the point of purchase. It is likely that the marketers misunderstand the consumer behavior because the predicted attitude does not always reflect the real purchasing behaviors of the consumers. This research study was aimed at bridging the gap between traditional market research, which relies on explicit consumer responses, and neuromarketing research, which reflects the implicit consumer responses. The EEG-based preference recognition in neuromarketing was extensively reviewed. Another gap in neuromarketing research is the lack of extensive data-mining approaches for the prediction and classification of the consumer preferences. Therefore, in this work, a deep-learning approach is adopted to detect the consumer preferences by using EEG signals from the DEAP dataset by considering the power spectral density and valence features. The results demonstrated that, although the proposed deep-learning exhibits a higher accuracy, recall, and precision compared with the k-nearest neighbor and support vector machine algorithms, random forest reaches similar results to deep learning on the same dataset.
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Santoso, Singgih. "Factors influencing the formation of consumer engagement and consumer satisfaction with e-learning activities." Innovative Marketing 17, no. 2 (2021): 137–48. http://dx.doi.org/10.21511/im.17(2).2021.13.

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The COVID-19 pandemic that plagued the world has resulted in many e-learning software that drove virtual learning activities to jump sharply and began to replace face-to-face meetings. This paper aims to find out the influence of digital readiness, technical and information quality, instructor quality, e-learning adoption and attitude on consumer engagement, and consumer satisfaction with e-learning performance. The study was conducted in the form of a quantitative survey at Duta Wacana Christian University in the Special Region of Yogyakarta, Indonesia, over the period from June 2020 to September 2020. The study sample using the purposive random sampling technique consisted of 175 students as respondents. Various statistical methods, including descriptive and structural equation modeling, were used to analyze the data and test the hypotheses of the model. Key findings were that there is a statistically direct impact of digital readiness, technical and information quality, e-learning adoption and attitude, and instructor quality on consumer engagement, and thus consumer engagement influences consumer satisfaction positively and significantly. With these results, tutorial activities need to be implemented for the use of popular e-learning software and related technological literacy, because the need for e-learning software will be even more massive in the future.
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Che, Hai, Tülin Erdem, and T. Sabri Öncü. "Consumer learning and evolution of consumer brand preferences." Quantitative Marketing and Economics 13, no. 3 (2015): 173–202. http://dx.doi.org/10.1007/s11129-015-9158-x.

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Danilāne, Līga. "Students` Learning Outcomes in Consumer Education in Elementary School." SOCIETY, INTEGRATION, EDUCATION. Proceedings of the International Scientific Conference 1 (July 24, 2015): 400. http://dx.doi.org/10.17770/sie2014vol1.777.

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The global economic crisis and the current conditions of market economy require an intelligent, spiritually rich, open-minded, creative, educated, skilled individual who is able to offer himself/herself in the labour market and promote his/her consumer education and participation in society during the economic downturn. Each person faces the increasing diversity of decision making daily in both personal and public life as responsible citizens in a democratic society, effective participants of global economy, knowledgeable consumers, enterprising and productive workers and competent decision makers. The research is carried out within the framework of the PhD thesis "Essence of Consumer Education in Elementary School" that aims to analyze consumer education content within elementary education, pupils' needs in the field of consumer education and create the appropriate learning content. The paper analyzes pupils' learning outcomes in consumer education in the context of sustainability.
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Lee, Jungwon, Okkyung Jung, Yunhye Lee, Ohsung Kim, and Cheol Park. "A Comparison and Interpretation of Machine Learning Algorithm for the Prediction of Online Purchase Conversion." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 5 (2021): 1472–91. http://dx.doi.org/10.3390/jtaer16050083.

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Machine learning technology is recently being applied to various fields. However, in the field of online consumer conversion, research is limited despite the high possibility of machine learning application due to the availability of big data. In this context, we investigate the following three research questions. First, what is the suitable machine learning model for predicting online consumer behavior? Second, what is the good data sampling method for predicting online con-sumer behavior? Third, can we interpret machine learning’s online consumer behavior prediction results? We analyze 374,749 online consumer behavior data from Google Merchandise Store, an online shopping mall, and explore research questions. As a result of the empirical analysis, the performance of the ensemble model eXtreme Gradient Boosting model is most suitable for pre-dicting purchase conversion of online consumers, and oversampling is the best method to mitigate data imbalance bias. In addition, by applying explainable artificial intelligence methods to the context of retargeting advertisements, we investigate which consumers are effective in retargeting advertisements. This study theoretically contributes to the marketing and machine learning lit-erature by exploring and answering the problems that arise when applying machine learning models to predicting online consumer conversion. It also contributes to the online advertising literature by exploring consumer characteristics that are effective for retargeting advertisements.
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Ahluwalia, Amardeep Kaur, and Preeti Sanan. "Consumer Learning in Indian Schools." Asian Journal of Management 8, no. 4 (2017): 1311. http://dx.doi.org/10.5958/2321-5763.2017.00198.6.

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Caminal, Ramon, and Xavier Vives. "Price Dynamics and Consumer Learning." Journal of Economics & Management Strategy 8, no. 1 (1999): 95–131. http://dx.doi.org/10.1162/105864099567596.

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van Osselaer, Stijn M. J., and Joseph W. Alba. "Consumer Learning and Brand Equity." Journal of Consumer Research 27, no. 1 (2000): 1–16. http://dx.doi.org/10.1086/314305.

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Dissertations / Theses on the topic "Consumer learning"

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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Books on the topic "Consumer learning"

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missing], [name. Learning disabilities sourcebook: Basic consumer health information about learning disabilities ... 2nd ed. Omnigraphics, 2003.

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Kirmani, Amna. Marketing communications, procedural learning and consumer decision making. Marketing Science Institute, 1992.

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Bridger, Sue. Women learning: A consumer view of access provision. Bradford Women's Employment Group, 1987.

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Kirmani, Amna. Marketing communications, procedural learning, and consumer decision making. Marketing Science Institute, 1992.

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Council, National Consumer. The learning gap: Consumer education in schools : a report by the National Consumer Council. National Consumer Council, 1995.

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Llewelyn, Chris. Learning lessons from disasters: A Welsh Consumer Council report. Welsh Consumer Council, 1998.

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Ronald, Nelson, and Marchand-Martella Nancy E, eds. Research methods: Learning to become a critical research consumer. Allyn & Bacon, 1999.

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A, Magat Wesley, and Huber Joel, eds. Learning about risk: Consumer and worker responses to hazard information. Harvard University Press, 1987.

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Allen, Todd W. Individual learning about comsumption [i.e. consumption]. National Bureau of Economic Research, 2001.

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M, Rosenthal Herma, ed. Beyond listening: Learning the secret language of focus groups. J. Wiley, 2002.

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Book chapters on the topic "Consumer learning"

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Statt, David A. "Learning." In Understanding the Consumer. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-25438-5_6.

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Colbert, François, and Alain d’Astous. "Learning." In Consumer Behaviour and the Arts. Routledge, 2021. http://dx.doi.org/10.4324/9780429263118-7.

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Jeppesen, Lars Bo, and Måns J. Molin. "Learning in Innovative Consumer Communities." In Produktentwicklung mit virtuellen Communities. Gabler Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-84540-5_8.

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Wagner, Tom. "Learning to listen." In Music, Branding, and Consumer Culture in Church. Routledge, 2019. http://dx.doi.org/10.4324/9780429507953-7.

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Zeba, Farrah, and Musarrat Shaheen. "Consumer Insights through Retail Analytics." In Artificial Intelligence and Machine Learning in Business Management. CRC Press, 2021. http://dx.doi.org/10.1201/9781003125129-2.

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Frontczak, Nancy T., and Steven W. Hartley. "Consumer Learning Styles: Implications for Promotional Strategy." In Proceedings of the 1990 Academy of Marketing Science (AMS) Annual Conference. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13254-9_65.

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Tokunaga, Tomoko. "Forming Identity and Girlhood Through Consumer Culture." In Learning to Belong in the World. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8480-5_5.

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Meyer, Robert J. "A Theory of the Inductive Learning of Multiattribute Preferences." In Perspectives on Methodology in Consumer Research. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4613-8609-4_8.

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Samli, A. Coskun. "International Consumer Learning Is Different in Different Cultures." In International Consumer Behavior in the 21st Century. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5125-9_13.

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Hänninen, Seppo, and Birgitta Sandberg. "Consumer Learning Roadmap: New Buzzword or Necessary Tool?" In Knowledge Matters. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230582262_11.

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Conference papers on the topic "Consumer learning"

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"MINING CONSUMER OPINIONS ON THE WEB - Organizational Learning from Online Consumer-to-Consumer Interactions." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001275101290134.

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Aydoğan, Reyhan, and Pinar Yolum. "Learning consumer preferences using semantic similarity." In the 6th international joint conference. ACM Press, 2007. http://dx.doi.org/10.1145/1329125.1329401.

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Chen, Yu-Ching, Chia-Ching Yang, Yu-Han Chen, et al. "Structured Learning Applied to Consumer Goods Recommended." In 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2017. http://dx.doi.org/10.1109/taai.2017.50.

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Shrirame, Vishwa, Juyee Sabade, Hitesh Soneta, and M. Vijayalakshmi. "Consumer Behavior Analytics using Machine Learning Algorithms." In 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2020. http://dx.doi.org/10.1109/conecct50063.2020.9198562.

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"Evaluating Consumer Loans Using Neural Networks Ensembles." In International Conference on Machine Learning, Electrical and Mechanical Engineering. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0114084.

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Howell, Alexandra L., Julie L. Hillery, and V. Ann Paulins. "Learning How to be an Ethical Fashion Consumer." In Sustainability in Fashion -. Iowa State University Digital Press, 2020. http://dx.doi.org/10.31274/susfashion.11425.

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Gao, Tingwei, Xiu Li, Yueting Chai, and Youhua Tang. "Deep learning with consumer preferences for recommender system." In 2016 IEEE International Conference on Information and Automation (ICIA). IEEE, 2016. http://dx.doi.org/10.1109/icinfa.2016.7832066.

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Seifert, Christin, Stefanie Scherzinger, and Lena Wiese. "Towards Generating Consumer Labels for Machine Learning Models." In 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI). IEEE, 2019. http://dx.doi.org/10.1109/cogmi48466.2019.00033.

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Wang, Feng, and Li Chen. "Recommending Inexperienced Products via Learning from Consumer Reviews." In 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2012. http://dx.doi.org/10.1109/wi-iat.2012.209.

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Lemley, Joseph, Shabab Bazrafkan, and Peter Corcoran. "Learning data augmentation for consumer devices and services." In 2018 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2018. http://dx.doi.org/10.1109/icce.2018.8326321.

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Reports on the topic "Consumer learning"

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Albanesi, Stefania, and Domonkos Vamossy. Predicting Consumer Default: A Deep Learning Approach. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26165.

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Bairoliya, Neha, Pinar Karaca-Mandic, Jeffrey McCullough, and Amil Petrin. Consumer Learning and the Entry of Generic Pharmaceuticals. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23662.

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Timms, Leo L., and Christine Mondak. June Dairy Month Open Houses: Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2011. http://dx.doi.org/10.31274/ans_air-180814-54.

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Timms, Leo L., Jennifer A. Bentley, and Megan Kregel. June Dairy Month Open Houses: Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2012. http://dx.doi.org/10.31274/ans_air-180814-6.

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Timms, Leo L., Kevin Lager, Jennifer A. Bentley, and Megan Kregel. June Dairy Month Open Houses: Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2014. http://dx.doi.org/10.31274/ans_air-180814-1171.

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Timms, Leo L., Jennifer A. Bentley, and Megan Kregel. June Dairy Month Open Houses: Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2015. http://dx.doi.org/10.31274/ans_air-180814-1303.

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Timms, Leo L., Jennifer A. Bentley, and Megan Kregel. June Dairy Month Open Houses: Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2013. http://dx.doi.org/10.31274/ans_air-180814-744.

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Mondak, Chris, and Leo L. Timms. Telling the Dairy Sustainability Story: The Value of Dairy Open Houses as Learning Events to Improve Consumer Understanding of Modern Animal Agriculture. Iowa State University, 2010. http://dx.doi.org/10.31274/ans_air-180814-153.

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