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Dissertations / Theses on the topic 'Predictive Marketing'

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1

Farrelly, Francis John. "A predictive model of sport sponsorship renewal in Australia." Title page, abstract and table of contents only, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phf245.pdf.

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Bibliography: leaves 231-291. This thesis investigates key drivers of sponsorship renewal. The market orientation of sponsors, and their perception of their sponsored entity's (property's) market orientation, are analysed as antecedents of the trust invested by sponsors in the relationship, the level of commitment they exhibit and both the economic and non-economic satisfaction they derive from it. Sponsor economic and non-economic satisfaction and their commitment to the relationship are considered to be the ultimate drivers of the decision to renew. The argument is presented that sponsorship
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PEREIRA, FRANCISCO COIMBRA CARNEIRO. "PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32553@1.

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Perdendo em média mais de 20 por cento da base de alunos todo semestre, a evasão de alunos no ensino superior privado representa um desafio para a gestão dessas instituições. Diferentes abordagens são utilizadas para combater este problema. Para a gestão de marketing de retenção, a identificação dos alunos é o primeiro passo necessário para aplicar uma estratégia de interação personalizada. Nesse sentido, este trabalho apresenta uma metodologia quantitativa para classificação de risco de evasão de alunos ativos. Baseado em dados históricos de alunos que evadiram ou se formaram, modelos gerados
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Ratnayake, N. "The predictive validity of brand-related autobiographical memories on brand commitment." Thesis, Coventry University, 2012. http://curve.coventry.ac.uk/open/items/70c7f103-00b8-4253-b431-03e77b80513a/1.

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Consumer decisions are largely influenced by prior experiences via memory. Consumer research is limited in its consideration of the separate memory system conceptualisations dominant in psychology, and rather has primarily focused on semantic memory (SM). As Autobiographical Memory (AM) may equally affect one’s brand consumption decisions, it is critical to integrate AM into brand-related memory studies for a complete understanding of the consumer learning and decision-making process. The study conceptualises affective, self-relevant brand episodes as Brand-Related Autobiographical Memory (BRA
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Peyne, Benjamin, and Ariane Chan. "Data-driven decision making in Marketing : A theoretical approach." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33545.

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Customer insight is at the heart of the big data era. This revolution makesit possible to directly obtain high potential data and in large quantitiesabout customers. Thus we take note that, more than ever, a large volumeof big data is collected by companies.We observe that big data have become a necessary tool within marketing.More and more companies orient their decisions according to theinformations provided by data, with the aim of quickly having betterresults.Nevertheless, in order to integrate these big data in a better way and gaina competitive advantage, companies must face new challeng
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Kindbom, Hannes. "Investigating the Attribution Quality of LSTM with Attention and SHAP : Going Beyond Predictive Performance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302412.

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Estimating each marketing channel’s impact on conversion can help advertisers develop strategies and spend their marketing budgets optimally. This problem is often referred to as attribution modelling, and it is gaining increasing attention in both the industry and academia as access to online tracking data improves. Focusing on achieving higher predictive performance, the Long Short- Term Memory (LSTM) architecture is currently trending as a data-driven solution to attribution modelling. However, such deep neural networks have been criticised for being difficult to interpret. Interpretability
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Ahlin, Mikael, and Felix Ranby. "Predicting Marketing Churn Using Machine Learning Models." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161408.

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For any organisation that engages in marketing actions there is a need to understand how people react to communication messages that are sent. Since the introduction of General Data Protection Regulation, the requirements for personal data usage have increased and people are able to effect the way their personal information is used by companies. For instance people have the possibility to unsubscribe from communication that is sent, this is called Opt-Out and can be viewed as churning from communication channels. When a customer Opt-Out the organisation loses the opportunity to send personalis
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Pinion, Tyson L. "Factors That Influence Alumni Giving at Three Private Universities." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1471529964.

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Engström, Tommy. "Intelligent Online Marketing : Predicting Conversion Rate Of New Keywords." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-208525.

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This thesis looks at the problem of predicting conversion rate of keywords in Google Adwords where little or no data for the keyword is available. Several methods are investigated and tested on data belonging to three different real world clients. The methods try to predict the conversion rate only given the keyword text. All methods are compared, using two different evaluation methods, with results showing good potential. Finally further improvements are suggested that could have a big impact on the results.
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CHEN, Wei. "Predicting customer responses to direct marketing : a Bayesian approach." Digital Commons @ Lingnan University, 2007. https://commons.ln.edu.hk/mkt_etd/11.

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Direct marketing problems have been intensively reviewed in the marketing literature recently, such as purchase frequency and time, sales profit, and brand choices. However, modeling the customer response, which is an important issue in direct marketing research, remains a significant challenge. This thesis is an empirical study of predicting customer response to direct marketing and applies a Bayesian approach, including the Bayesian Binary Regression (BBR) and the Hierarchical Bayes (HB). Other classical methods, such as Logistic Regression and Latent Class Analysis (LCA), have been conducte
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Lang, Mark Frederick. "IMPROVING MARKETING FORECASTING THROUGH COLLECTIVE MARKET INTELLIGENCE." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/214784.

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Business Administration/Marketing<br>Ph.D.<br>New product development and management are critical to the long-term success of the firm. New product development is also an area where the firm needs to improve performance. Two important new product decisions are selecting new concepts and estimating their future market potential and demand. Forecasting is a critical activity in supporting these two decisions. Unfortunately, forecasting is an activity where firms often struggle to be proficient. Recent advances in forecasting methods offer opportunities for improvement. One of the techniques is p
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Richard, Émile. "Regularization methods for prediction in dynamic graphs and e-marketing applications." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2012. http://tel.archives-ouvertes.fr/tel-00906066.

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Predicting connections among objects, based either on a noisy observation or on a sequence of observations, is a problem of interest for numerous applications such as recommender systems for e-commerce and social networks, and also in system biology, for inferring interaction patterns among proteins. This work presents formulations of the graph prediction problem, in both dynamic and static scenarios, as regularization problems. In the static scenario we encode the mixture of two different kinds of structural assumptions in a convex penalty involving the L1 and the trace norm. In the dynamic s
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Ruff, Nancy Schoettinger. "The successful secondary marketing teacher: case studies of teaching award recipients in marketing education." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54406.

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The purpose of this study was to develop a profile of the successful secondary marketing teacher based upon perceptions of teaching award recipients in marketing education. A naturalistic inquiry paradigm using the case study approach was the research design selected for the study. Semistructured, open-ended interviews were conducted with 11 teachers who were recipients of the annually presented, state-level teaching award in marketing education in the states of North Carolina and Virginia. Data collected from the interviews were analyzed according to tenets associated with the constant compa
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Estrada, Priscilla C. "Motivations Predicting Facebook Users' Engagement with Advertising| A Uses and Gratifications Approach." Thesis, University of Louisiana at Lafayette, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10978175.

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<p> Social media allows people to communicate and interact with friends and acquaintances around the world. This innovative avenue of advertisement is now helping companies create content and turn information into profit. This study seeks to understand the effects of social network advertisement (focusing on Facebook) on the biggest population of Facebook users. This population between 30&ndash;36 years old is highly engaged in Facebook; spending a critical part of their time on social media channels for several reasons such as: increasing their social life, networking, locating old friends, e
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Ma, Zhenfeng. "Predicting individual choice and acceptance of threat- related communication under stress: insights from a psychoneuroendocrine approach to stress." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18656.

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Stress is a pervasive consumption experience that has important impact on consumer behavior. Existing marketing literature has exclusively focused on the psychological aspects of stress, whereas research into the physiological facets of stress is almost nonexistent. Drawing on theorizing and empirical evidence from various domains, the current study proposes a psychoneuroendocrine (PNE) perspective of stress, which views stress as an integrated process involving three relatively independent components including affective, autonomic and endocrine responses. It is expected that compared with the
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Forslund, John, and Jesper Fahlén. "Predicting customer purchase behavior within Telecom : How Artificial Intelligence can be collaborated into marketing efforts." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279575.

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This study aims to investigate the implementation of an AI model that predicts customer purchases, in the telecom industry. The thesis also outlines how such an AI model can assist decision-making in marketing strategies. It is concluded that designing the AI model by following a Recurrent Neural Network (RNN) architecture with a Long Short-Term Memory (LSTM) layer, allow for a successful implementation with satisfactory model performances. Stepwise instructions to construct such model is presented in the methodology section of the study. The RNN-LSTM model further serves as an assisting tool
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Chan, Chi Seng. "Replicating Ou's (1990) information link using Hong Kong data : the prediction of changes in earnings per share." Thesis, University of Macau, 2000. http://umaclib3.umac.mo/record=b1636685.

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Ferguson, Graham. "The effectiveness of cross-selling as a relationship marketing initiative : an exploration of analytical and commonsense prediction." UWA Business School, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0196.

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[Truncated abstract] Relationship marketing and some of its associated strategies, including customer relationship management (CRM), is an approach to marketing that is increasingly recognised as important by researchers and marketers. The approach suggests that marketers should focus on developing and maintaining strong relationships with existing customers in order to increase customer lifetime value (CLV) and to reduce the costs associated with constantly acquiring new customers. Advocates promote increased revenue per customer, increased products per customer (customer share), lower custom
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Rodgers, Shelly. "Predicting sponsorship effects in E-newspapers using the sponsorship knowledge inventory /." free to MU campus, to others for purchase, 2000. http://wwwlib.umi.com/cr/mo/fullcit?p9988697.

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Henningsen, Sina [Verfasser]. "Essays on Employing Social and Spatial Contagion for Optimizing Marketing Decisions - Empirical Applications to the Prediction of Innovation Success and the Allocation of Marketing Budgets / Sina Henningsen." Kiel : Universitätsbibliothek Kiel, 2012. http://d-nb.info/1025255879/34.

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Begalle, Mary S. "Effectiveness of relationship marketing bonding tactics in predicting customer share in the public sector school foodservice market." [Ames, Iowa : Iowa State University], 2008.

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Vargas, Emmanuel Roque, Montesinos Ricardo Cadillo, and David Mauricio. "Prediction of financial product acquisition for Peruvian savings and credit associations." Institute of Electrical and Electronics Engineers Inc, 2020. http://hdl.handle.net/10757/656581.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients wh
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Lu, Hongwei Marketing Australian School of Business UNSW. "Small area market demand prediction in the automobile industry." Publisher:University of New South Wales. Marketing, 2008. http://handle.unsw.edu.au/1959.4/43027.

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The general aim of this research is to investigate approaches to: •improve small area market demand (i.e. SAMD) prediction accuracy for the purchase of automobiles at the level of each Census Collection District (i.e. CCD); and •enhance understanding of meso-level marketing phenomena (i.e. geographically aggregated phenomena) relating to SAMD. Given the importance of SAMD prediction, and the limitations posed by current methods, four research questions are addressed: •What are the key challenges in meso-level SAMD prediction? •What variables affect SAMD prediction? •What techniques can be use
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Fleis, Alain. "La Franquicia en España: Estudio y evolución de las redes mixtas. Propuesta de un modelo predictivo de tipo polinómico." Doctoral thesis, Universitat Internacional de Catalunya, 2013. http://hdl.handle.net/10803/110780.

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La intensificación de la competencia inherente a la globalización de los intercambios obliga a las empresas comerciales que se ven amenazadas a modificar sus organizaciones y se observa una inter-relación organizacional a través del establecimiento de redes y de la externalización de los recursos, también llamado outsourcing. A nivel local, el emprendedor de la “microeconomía” carece de medios para penetrar en el mercado adecuado, ser más competitivo, realizar campañas de marketing eficientes, encontrar proveedores fiables, minimizar el stock, negociar condiciones de pago interesantes,...
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Londono, Juan Carlos. "Explaining and predicting the single channel versus multi-channel consumer : the case of an embarrassing product." Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/19564.

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The fundamental purpose of this thesis was to determine how effective is the theory of planned behaviour (TPB) to predict and explain shopping for embarrassing products in single and multi-channel. This is important because multi-channel consumers buy more, the question is why (Neslin, Grewal et al. 2006). The question was answered by comparing consumer behaviour in three different channels: drugstore, internet and multi-channel. The Theory of Planned Behaviour (TPB) has been successful to predict intentions for a wide variety of products and behaviours. However, little is known about how effe
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BRAG, Gustava. "PREDICTING THE FUTURE OF INFLUENCER MARKETING : How Public Relations Experts perceive and measure the impacts of Influencer Marketing in their organizations. A Critical Study reflecting the discussions and future thinking of this particular phenomenon." Thesis, Stockholms universitet, Institutionen för mediestudier, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-172674.

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The body of marketing is drastically changing, pushing frontiers in numerous of domains, geographically, behaviourally and strategically with much enhanced technology in an increasingly globalized world. As this phenomenon pushes forward on many fronts, it is worthwhile to ask what will happen in the near future in this field. In today’s society ‘Influencer Marketing’ is known to be an incredibly popular and successful marketing tool, where one might be wondering: What is a plausible future in this area? What are the potential threats and challenges (if any) that we may encounter? What drives
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Ondruš, Erik. "Využití data miningu v personální agentuře." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-316714.

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This master’s thesis will look into the use of data mining in the area of segmentation and the prediction of onboarding candidates of a recruitment agency. The obtained results should serve to make company processes more effective concerning the processing of orders, and should also facilitate a more personal approach to candidates. The first chapter includes imperetive theoretical bases from the studies of Business Intelligence, data warehouses, data mining and marketing. Thereafter an analysis of the current state is presented with a focus on the capture of the key processes in processing an
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Paulk, Chad Bennett. "Predicting market pig weights and fat iodine value and effect of zinc on growth performance and immune function of finishing pigs." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/17917.

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Doctor of Philosophy<br>Department of Animal Science<br>Jim L. Nelssen and Michael D. Tokach<br>The optimum sampling method swine producers should use to estimate the mean and SD of pig BW within a barn was determined based upon both the time required to conduct and the precision and accuracy of each sampling method. Weighing 5 pigs from 15 pens was determined to be the optimal sampling method. This should require approximately 55 min to complete. Weighing 5 pigs from 15 pens had a CI range of 7.2 to 8.0 kg for estimating the mean BW and 5.6 kg for estimating SD. Next, a meta-analysis was cond
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Ruiz, Victoria Jeronimo, and Arne Samuel Löffler. "Identifying and testing success factors for brand extensions in the Video Game Industry : The differences between segments of players and a model for predicting success in the Tomb Raider Series." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-18155.

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Background Brand managers often use brand extension as a “lower” risk alternative when introducing new products. A lot of research has been conducted about brand extensions but mostly focusing on fast moving consumer goods, therefore ignoring the impact that this strategy carries on experience goods and more precisely, the video game industry. Video games have turned from a niche product to a global billion dollar market in which brand extensions are a common marketing strategy. There are several examples of both successful and failed brand extensions in the video game industry. Purpose The pu
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Bohling, Timothy R. "Predicting Purchase Timing, Brand Choice and Purchase Amount of Firm Adoption of Radically Innovative Information Technology: A Business to Business Empirical Analysis." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/bus_admin_diss/3.

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Knowing what to sell, when to sell, and to whom to sell is essential buyer behavior insight to allocate scarce marketing resources efficiently and effectively. Applying the theory of relationship marketing (Morgan and Hunt 1994), this study seeks to investigate the link between commitment and trust and firm adoption of radically innovative information technology (IT). The construct of radical innovation is operationalized through the use of cloud computing. A review of the vast scholarly literature on radical innovation diffusion and adoption, and modeling techniques used to analyze buyer beha
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Björklund, Martin, and Felix Hasselblad. "The Effect of Online Advertising in a Digital World : Predicting Website Visits with Dynamic Regression." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446073.

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The goal of the thesis is to accurately predict future values of a company’s website visits and to estimate the uncertainty of those predictions. To achieve this, a dynamic regression model with an ARIMA error term is considered, using advertisement spending with lags and dummy variables for Black Friday and weekdays as predictors. After dividing the data into a training set and a test set, the order of the ARIMA error term is specified using the Box-Jenkins methodology. The initial model is then run through a backward elimination algorithm, which selects two models based on the Akaike Informa
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Росохата, Анна Сергіївна, Анна Сергеевна Росохатая та Anna Serhiivna Rosokhata. "Формування далекострокових тенденцій як запорука ефективного маркетингу промислового підприємства". Thesis, Сумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46353.

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На сьогоднішній день загальновідомим фактом є твердження, що ефективна та успішна діяльність промислового підприємства залежить не лише від наявних ресурсів, а й від ефективного використання ринкових можливостей. Так, маркетинг промислового підприємства багато в чому залежить від далекострокових прогнозів розвитку ринку та загалом зовнішнього середовища суб’єкта господарювання.
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Sundström, Ebba, and Skagerlind Valentin Goodbrand. "Utvärdering av maskininlärningsmodeller för riktad marknadsföring inom dagligvaruhandeln." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282927.

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Företag inom dagligvaruhandeln använder sig ofta av database marketing för att anpassa deras erbjudande till deras kunder och därmed stärka kundrelationen och ökaderas försäljning. Länge har logistisk regression varit en modell som ofta används för att bygga upp maskininlärningsmodeller som kan förutse vilka erbjudanden som löses in av vilken kund. I arbetet utvärderas en maskininlärningsmodell med logistisk regression och stepwise selection på kunddata från en av Sveriges större aktörer inom dagligvaruhandeln. Modellen jämförs med en annan modell som istället använder sig utav elastic net, vi
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Matta, Vikram A. "Predicting the Adoption of Radio Frequency Identification Systems in the Supply Chain." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1210423255.

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Lebedžinskaitė, Renata. "Bankroto diagnozavimo įmonėse tyrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_153211-47644.

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Darbo tikslas – sukurti modifikuotą bankroto diagnozavimo modelį ir jį patikrinti Lietuvos įmonių pavyzdžiu. Darbo uždaviniai: 1) ištyrus bankroto veiksnius, nustatyti jo atsiradimo priežastis; 2) atlikti teorinių bankroto tikimybės įvertinimo modelių analizę; 3) atlikus bankroto diagnozavimo modelių teorinę analizę, sukurti ir patikrinti modifikuotą bankroto diagnozavimo modelį. Darbo objektas – bankroto diagnozavimas. Tyrimo metodai: mokslinės literatūros analizė; loginė lyginamoji analizė bei sintezė; dokumentų, turinio analizė, apibendrinimo metodas; statistinė įmonių finansinių rodiklių a
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Skučaitė, Daiva. "Įmonių veiklos finansinis įvertinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120723_102706-67730.

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Baigiamasis magistro darbas skirtas tradiciniams ir netradiciniams įmonių veiklos finansinio vertinimo principams ir metodams išnagrinėti bei praktiškai pritaikyti AB „Statybos įmonė“ pavyzdžiu. Teorinėje darbo dalyje atskleidžiama įmonių finansų analizės esmė ir reikšmė, finansų analizės objektas, uždaviniai ir informacijos šaltiniai, pateikiamos įmonių finansų analizės rūšys. Taip pat nagrinėjami bankroto įvertinimo metodai bei įmonių veiklos perspektyvų prognozavimas. Analizuojamos naujosios įmonių veiklos vertinimo sistemos ir palyginamos su tradiciniais vertinimo metodais. Tyrime atliekam
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Zinkevičiūtė, Ieva. "Įmonių finansinių sunkumų diagnozavimo modelis." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_135832-52853.

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Tyrimo objektas – įmonių finansinių sunkumų diagnozavimas. Darbo tikslas – sukurti įmonių finansinių sunkumų diagnozavimo modelį ir jį patikrinti pasirinktų įmonių pavyzdžiu. Tyrimo uždaviniai:  išanalizuoti ir susisteminti anksčiau sukurtus bankroto prognozavimo modelius ir jų testavimo rezultatus;  sudaryti įmonių finansinių sunkumų diagnozavimo modelį;  patikrinti sukurto modelio tinkamumą pasirinktų įmonių tarpe. Tyrimo metodai. Analizuojant bankroto prognozavimo modelius ir jų testavimo rezultatus atlikta mokslinės ir metodinės literatūros loginė ir lyginamoji analizė bei sintezė. Įmon
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Daugalaitė, Vilma. "Aukštos kvalifikacijos specialistų rengimas ir darbo rinkos poreikiai: problemos ir sprendimo būdai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130801_092252-39459.

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Vykstant ekonominiams pokyčiams šalyje, vienu iš prioritetinių švietimo sistemos tikslų tampa aukštos kvalifikacijos specialisto rengimas, orientuotas į darbo rinkos poreikius. Šalies aukštosiose mokyklose specialistų rengimas nepakankamai siejamas su jų poreikiu darbo rinkoje ir galimybėmis baigus studijas gauti darbą, atitinkantį absolventų įgytą kvalifikaciją. Magistriniame darbe pagrindinis dėmesys skiriamas aukštos kvalifikacijos specialistų prognozavimui bei realaus specialistų poreikio nustatymui. Todėl būtina numatyti aukštos kvalifikacijos specialistų porei
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Pereira, Pedro José Silva. "Modern optimization of predictive models: An application to mobile performance marketing." Doctoral thesis, 2021. http://hdl.handle.net/1822/75996.

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Programa de Doutoramento em Tecnologias e Sistemas de Informação<br>The increase of mobile devices usage has leveraged digital business opportunities, particularly in the advertising sector. In particular, the Mobile Performance Marketing (MPM) industry has been a target of vast investments in the last years. This industry deals with advertising campaigns (owned by advertisers) presented on digital spaces (owned by publishers), such as mobile applications. In short, users are redirected to campaign pages in order to access publishers content. Between advertisers and publishers, intermedia
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Melidis, Andreas. "Personalized marketing campaign for upselling using predictive modeling in the health insurance sector." Master's thesis, 2020. http://hdl.handle.net/10362/99076.

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Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>Nowadays, with the oversupply of several different solutions in the private Health Insurance sector and the constantly increasing demand for value for money services from the client’s perspective, it becomes clear that Insurance Companies shouldn’t only strive for excellence but also engage their client base by offering solutions that are more suitable to their needs. This project aims, using the power that predictive models can provide, to predict the existing
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Pereira, Rita Mafalda Magalhães. "Building a predictive lead scoring model for contact prioritization : the case of HUUB." Master's thesis, 2021. http://hdl.handle.net/10400.14/34877.

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In the last decades, machine learning has become quite popular for solving business problems, as it often delivers high-quality and efficient solutions. Moreover, the amount of data collected by companies has grown substantially, which has contributed to this trend. Companies do not have enough resources to contact every lead, so contact prioritization is essential. Lead scoring supports this task, by assigning a value to each lead based on his actions or characteristics. Even though it is expected that lead scoring contributes to higher conversion rates, there is still very few literature on
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Correa, Tamara Cristina dos Santos Queiroz. "Marketing de saúde para seniores: uma abordagem de CRM para otimizar estratégias de marketing." Master's thesis, 2020. http://hdl.handle.net/10362/95148.

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Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM<br>O presente projeto é uma análise dos dados de marketing de compradores e prospects de uma das maiores empresas de aparelhos auditivos de Portugal e tem como estudo uma base de dados com abrangência nacional, que apresenta o comportamento de compra real do público sénior, com 183 mil indivíduos. A literatura tem poucos estudos sobre o comportamento de compra dos consumidores seniores, apesar do grande crescimento deste seg
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Abbass, Ziad El. "Implementing a bank sales analytics solution and a predictive model for the next best offer." Master's thesis, 2019. http://hdl.handle.net/10362/59931.

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Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>In the banking industry, the quantity of information that is processed is huge. Knowing also that clients are doted with changing needs every time, companies must adapt their approaches to attract clients with the best offers. That can be done by various machine learning and data mining techniques that enable them to understand better the clients. Also, internally, banks should be equipped with fast and efficient processes that enable them to take quickly the best de
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Shrinivas, V. Prasanna. "Cellular Services Market In India : Predictive Models And Assessing Interventions." Thesis, 2006. https://etd.iisc.ac.in/handle/2005/470.

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The Objective of this thesis is to address some interesting problems in the Indian cellular services market. The first problem we address relates to identifying important change points that marked the evolution of the telecom market since Indian Independence. We use the data on per-capita availability of telephones in India to this effect. We identify important change points that mapped to the computerization move in 1989, the liberalization and globalization policies starting from 1991 and subsequently the introduction of NTP 1997 and NTP 1999. We also identify the important change points tha
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Shrinivas, V. Prasanna. "Cellular Services Market In India : Predictive Models And Assessing Interventions." Thesis, 2006. http://hdl.handle.net/2005/470.

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The Objective of this thesis is to address some interesting problems in the Indian cellular services market. The first problem we address relates to identifying important change points that marked the evolution of the telecom market since Indian Independence. We use the data on per-capita availability of telephones in India to this effect. We identify important change points that mapped to the computerization move in 1989, the liberalization and globalization policies starting from 1991 and subsequently the introduction of NTP 1997 and NTP 1999. We also identify the important change points tha
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Silva, Ana Teresa Nunes Biscaia Correia da. "Unveiling the features of successful ebay sellers of smartphones: a data mining sales predictive model." Master's thesis, 2016. http://hdl.handle.net/10071/13595.

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JEL Classification guidelines (M310); (C380).<br>EBay is one of the largest online retailing corporations worldwide, providing numerous ways for customer feedback on registered sellers. In accordance, with the advent of Web 2.0 and online shopping, an immensity of data is collected from manifold devices. This data is often unstructured, which inevitably asks for some form of further treatment that allows classification, discovery of patterns and trends or prediction of outcomes. That treatment implies the usage of increasingly complex and combined statistical tools as the size of dataset
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Lamas, Tomás Wank Nolasco. "Destination image gap and its predictive effect on loyalty of first time German visitors to Portugal." Master's thesis, 2020. http://hdl.handle.net/10071/22311.

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In explaining destination loyalty and satisfaction with destination image, there is plenty of research focusing on destination image before travelling, as well asonimage gained from the experience itself. However, it is reasonable to infer that both satisfaction and loyalty might be better understood as the interplay between both images as only with both can one ascertain whether an expectation was realistic or not. So, image gap can be an informative variable in explaining both destination satisfaction and loyalty. To test whether image gap has incremental validity, i.e. if it explains u
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Ferreira, Inês de Carvalho Pereira. "Churn Prediction in Digital Marketing." Master's thesis, 2019. https://hdl.handle.net/10216/123005.

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Araújo, Carolina Tomé de. "Send frequency prediction on email marketing." Master's thesis, 2022. http://hdl.handle.net/10284/10798.

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O E-mail Marketing é uma forma de marketing direta que utiliza o e-mail como um meio de comunicação comercial pelo que numa perspetiva mais ampla, qualquer e-mail enviado a um potencial subscritor e atuais subscritores também pode ser considerado e-mail marketing. Assim sendo, o subscritor vai receber várias comunicações ao longo do dia, reduzindo a visibilidade dos e-mails mais antigos com a entrada de novas comunicações e consequentemente, reduzindo as taxas de aberturas. Tendo em conta que existem subscritores que preferem abrir e ler as suas comunicações de manhã, outros de tarde e algun
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MIN, CHUNG FANG, and 鍾方閔. "Agricultural Product Marketing Research: A Review and Prediction." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dv9ns7.

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碩士<br>明新科技大學<br>管理研究所碩士在職專班<br>106<br>Taiwan is an agricultural country with various excellent related technologies. There are many types of agricultural products and their quality is of world-class. However, Taiwanese farmers do not seem to know how to market their agricultural products, and therefore are often exploited by dealers. There is little existing research on how to market agricultural products. The purpose of this study is to analyze the literature on agricultural product marketing strategies in Taiwan in order to generate directions and recommendations for future research. Using l
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Mohlala, Clene. "How brand function and corporate image create loyalty in North America, Europe, and Africa's Telecom service providers." 2021. http://hdl.handle.net/10500/27673.

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Brand loyalty is seen as a repeat purchase and also the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business. The current thesis examines the impact of how brand function and corporate image create loyalty in North America, Europe, and Africa's telecom service providers. The researcher employed an anonymous online survey in Africa, Europe, and North America. A total of 971 responses were received. Using Partial Least Square regression analysis, the research examined the relationship between the variables: Brand Function,
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