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Relevant bibliographies by topics / Consumer choice models

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Academic literature on the topic 'Consumer choice models'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Consumer choice models"

1

Kalwani, Manohar U., Robert J. Meyer, and Donald G. Morrison. "Benchmarks for Discrete Choice Models." Journal of Marketing Research 31, no. 1 (1994): 65–75. http://dx.doi.org/10.1177/002224379403100106.

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In assessing the performance of a choice model, we have to answer the question, “Compared with what?” Analyses of consumer brand choice data historically have measured fit by comparing a model's performance with that of a naive model that assumes a household's choice probability on each occasion equals the aggregate market share of each brand. The authors suggest that this benchmark could form an overly naive point of reference in assessing the fit of a choice model calibrated on scanner-panel data, or any repeated-measures analysis of choice. They propose that fairer benchmarks for discrete c

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McConnell, K. E. "Consumer Surplus from Discrete Choice Models." Journal of Environmental Economics and Management 29, no. 3 (1995): 263–70. http://dx.doi.org/10.1006/jeem.1995.1046.

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Zanutto, Elaine L., and Eric T. Bradlow. "Data pruning in consumer choice models." Quantitative Marketing and Economics 4, no. 3 (2006): 267–87. http://dx.doi.org/10.1007/s11129-005-9000-y.

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Wang, Ruxian, and Zizhuo Wang. "Consumer Choice Models with Endogenous Network Effects." Management Science 63, no. 11 (2017): 3944–60. http://dx.doi.org/10.1287/mnsc.2016.2520.

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Huang, J.-J. "Revised behavioural models for riskless consumer choice." Journal of the Operational Research Society 60, no. 9 (2009): 1237–43. http://dx.doi.org/10.1057/palgrave.jors.2008.88.

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Barten, Anton P. "Consumer allocation models: Choice of functional form." Empirical Economics 18, no. 1 (1993): 129–58. http://dx.doi.org/10.1007/bf01238883.

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Huseynov, Samir, Bachir Kassas, Michelle S. Segovia, and Marco A. Palma. "Incorporating biometric data in models of consumer choice." Applied Economics 51, no. 14 (2018): 1514–31. http://dx.doi.org/10.1080/00036846.2018.1527460.

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McAlister, Leigh, Rajendra Srivastava, Joel Horowitz, et al. "Incorporating choice dynamics in models of consumer behavior." Marketing Letters 2, no. 3 (1991): 241–52. http://dx.doi.org/10.1007/bf02404075.

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Dentoni, D., G. Tonsor, R. Calantone, and H. C. Peterson. "Consumers' perceptions of stakeholder credibility: who has it and who perceives it." Journal on Chain and Network Science 14, no. 1 (2014): 3–20. http://dx.doi.org/10.3920/jcns2014.0228.

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Based on the case of US consumer choice of beef steak brands, this study investigates how individual perceptions of information source credibility influence food brand choices. In particular, it tackles the questions: which stakeholders inside or outside the food chain are perceived as credible information sources in promoting food quality? Which consumer segments perceive different stakeholders as credible? What is the relationship between consumers' perceptions of stakeholder credibility and their brand choices? Data are collected from a representative sample of 460 US citizens through an on

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Gan, Christopher, Visit Limsombunc, Mike Clemes, and Amy Weng. "Consumer Choice Prediction: Artificial Neural Networks versus Logistic Models." Journal of Social Sciences 1, no. 4 (2005): 211–19. http://dx.doi.org/10.3844/jssp.2005.211.219.

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Dissertations / Theses on the topic "Consumer choice models"

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Colomé, Rosa. "Consumer choice in competitive location models." Doctoral thesis, Universitat Pompeu Fabra, 2002. http://hdl.handle.net/10803/7330.

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L'objectiu bàsic d'aquesta tesis doctoral és la incorporació dels models de preferència revelada d'elecció del consumidor en els models de localització competitiva en entorns discrets que tenen com a objectiu maximitzar la captura. <br/><br/>Després de la introducció i de la revisió de la literatura, el capítol 3 analitza la importància que té reflectir la conducta real del consumidor respecte a com aquest té en compte la distancia, i com això afecta a la optimalitat de les localitzacions que s'obtenen en aquests models. <br/><br/>Després d'analitzar la característica distancia, el capítol 4 p

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Chang, Kwangpil. "Essays on heterogeneity in choice modeling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ34537.pdf.

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Flemmer, Malene. "Store choice models and consumption in Denmark and Spain : towards a consumer convergence?" Thesis, Manchester Metropolitan University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309886.

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Nocella, Giuseppe. "Farm Animal Welfare in Europe: Exploring the Impact of Planned Behaviour on Consumer Choice Models." Thesis, University of Newcastle upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485863.

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Despite the existence of the far-reaching literature on the problem of measuring animal welfare from both a scientific and a philosophical perspective, there are still few studies which aim at tackling its economic aspects. In this thesis, consumers' willingness to pay and heterogeneity of preferences for certified animal-friendly products were estimated by employing contingent valuation and choice modelling methods. However, since farm animal welfare is an emotional topic which can affect consumers purchasing decisions through aspects involving psychological components, it was decided to expl

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Hall, Edward John. "The influence of occasion on consumer choice: an occasion based, value oriented investigation of wine purchase, using means-end chain analysis." Title page, contents and abstract only, 2003. http://web4.library.adelaide.edu.au/theses/09PH/09phh1756.pdf.

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Includes list of Supplementary refereed publications relating to thesis; and of Refereed conference papers, as appendix 1 Includes bibliograhical references (p. 316-343) Focusses particularly on the purchase of wine and the factors that influence consumer choice and the values that drive the decision process across different consumption occasions. The effectiveness of occasion as part of the theoretical model of means-end chain analysis is investigated, as well as the feasibility of occasion in the Olsen and Thach (2001) conceptual framework of consumer behavior relating to wine.

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Scheibehenne, Benjamin. "The effect of having too much choice." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2008. http://dx.doi.org/10.18452/15740.

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Die vorliegende Dissertation beschäftigt sich mit dem so genannten „Effekt zu großer Auswahl“. Der Effekt besagt, dass ein Überangebot von Auswahlalternativen negative Konsequenzen hat, in dem es beispielsweise die Motivation verringert, überhaupt eine Entscheidung zu treffen oder in dem es die subjektive Zufriedenheit mit der letztlich gewählten Alternative verringert. Die theoretischen Erklärung es Effektes sind jedoch bisher nur unzureichend präzisiert. Der Effekt steht im Widerspruch zu Axiomen der klassischen rationalen Entscheidungstheorie. Ein sicherer Nachweis des Effektes hätte daher

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Jahanbin, Semco. "The impact of consumer and product characteristics on change in attribute-weights over time and its implications for new product sales forecasting using choice-based conjoint analysis." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681043.

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One of the major demand related risks for companies that produce consumer electronics goods is change in consumer preferences over time as reflected in the weights they attach to the attributes of products. This contributes to the difficulty of predicting whether consumers will purchase a new product or not and the accuracy of such forecasts can have significant ramifications for companies’ strategies, profitability and even their chances of survival. Knowledge of attribute-weights and accurate forecasts of new products can give companies better insights during the product development stages,

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Mahmood, Ammara. "Essays on consumer behaviour and pricing." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:2f99d998-5536-44cc-aae1-99fb97f1a191.

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This dissertation is a collection of five essays examining different aspects of consumer and firm behavior in dynamic markets. The first essay combines clickstreams of users at a major news website with Facebook activity data, to study if social networks complement or compete for online browsing time. This is the first empirical study to show that Facebook activity increases time spent on news sites. Online news consumption is a shared experience, as the activity of social network friends strongly influences the behavior of other network members. We also find that visitors’ own browsing patter

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Kao, Ling-Jing. "Data augmentation for latent variables in marketing." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155653751.

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Helveston, John Paul. "Development and Adoption of Plug-in Electric Vehicles in China: Markets, Policy, and Innovation." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/855.

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Books on the topic "Consumer choice models"

1

Duffy, M. Advertising in consumer allocation models: Choice of functional form. Manchester School of Management, 1999.

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Wright, Gordon P. Frank M. Bass and research in consumer choice behavior. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1986.

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Consumer durable choice and the demand for electricity. North-Holland, 1985.

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R, Bettman James, and Payne John W, eds. Emotional decisions: Tradeoff difficulty and coping in consumer choice. University of Chicago Press, 2001.

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Luce, Mary Frances. Emotional decisions: Tradeoff difficulty and coping in consumer choice. University of Chicago Press, 2001.

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Miles, Heiko. Identifying a reduced set of salient attributes that influence consumers' choice among whole, low-fat, and skim milk for beverage use. Dept. of Agricultural, Resource, and Managerial Economics, New York State College of Agriculture and Life Sciences, Cornell University, 1994.

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Zinman, Jonathan. Why use debit instead of credit?: Consumer choice in a trillion-dollar market. Federal Reserve Bank of New York, 2004.

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Approximating prudence: Aristotelian practical wisdom and economic models of choice. Palgrave Macmillan, 2012.

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Naumov, Vladimir. Consumer behavior. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014653.

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The book describes the basic issues concerning consumer behavior on the basis of the simulation of the decision-making process on buying behavior of customers in the sales area of the store and shopping Internet sites.  The classification of models of consumer behavior, based on research in the area of economic, social and psychological theories and empirical evidence regarding decision-making by consumers when purchasing the goods, including online stores. Methods of qualitative and quantitative research of consumer behavior, fundamentals of statistical processing of empirical data. &#x

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Voith, Richard. Consumer choice with state-dependent uncertainty about product quality: Late trains and commuter rail ridership. Federal Reserve Bank of Philadelphia, 1989.

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Book chapters on the topic "Consumer choice models"

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Friedman, Monroe. "Models of Consumer Choice Behavior." In Handbook of Economic Psychology. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7791-5_9.

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Tidwell, Paula. "Compensatory Versus Non-Compensatory Choice Strategies in Limited Problem Solving Consumer Behavior: Engel-Kollat-Blackwell Versus Howard Models." In Proceedings of the 1996 Academy of Marketing Science (AMS) Annual Conference. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13144-3_66.

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Uncles, Mark D. "Using Consumer Panels to Model Travel Choices." In Urban Dynamics and Spatial Choice Behaviour. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1009-6_3.

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Dellaert, Benedict G. C., Aloys W. J. Borgers, Jordan J. Louviere, and Harry J. P. Timmermans. "Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages." In Conjoint Measurement. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24713-5_16.

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Dellaert, Benedict G. C., Aloys W. J. Borgers, Jordan J. Louviere, and Harry J. P. Timmermans. "Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages." In Conjoint Measurement. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_14.

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Dellaert, Benedict G. C., Aloys W. J. Borgers, Jordan J. Louviere, and Harry J. P. Timmermans. "Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages." In Conjoint Measurement. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-06392-7_15.

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Riechmann, Thomas. "A Model of Boundedly Rational Consumer Choice." In Genetic Algorithms and Genetic Programming in Computational Finance. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0835-9_15.

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Dubin, Jeffrey A. "The Demand for Cameras by Consumers—A Model of Purchase, Type Choice, and Brand Choice." In Studies in Consumer Demand — Econometric Methods Applied to Market Data. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5665-7_7.

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Zhang, Hui, Chen Tian, and Tiao-jun Xiao. "Study on Consumers’ Channel Choice Behavior Based on Fishbein’s Model of Reasoned Action." In Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014). Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-100-0_10.

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Yan, Yu-meng, Xin-yu Sun, and Zi-xian Liu. "Factors Affecting Decision on Mobile Phone Types for Consumer Purchase Based on Discrete Choice Model." In Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3402-3_67.

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Conference papers on the topic "Consumer choice models"

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Gowharji, Waleed, and Kate S. Whitefoot. "Influence of Omitted Variables in Consumer Choice Models on Engineering Design Optimization Solutions." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97835.

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Abstract This paper examines the impact of Omitted Variable Bias (OVB) within consumer choice models on engineering design optimization solutions. Engineering products often have a multitude of attributes that influence consumers’ purchasing decisions, many of which are difficult to include in revealed-preference models due to a lack of data. Correlations among these omitted variables and product attributes included in the model can bias demand parameter estimates. However, engineering design optimization studies typically do not account for this bias. We examine the influence consumer-choice

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Morrow, W. Ross, Minhua Long, and Erin F. MacDonald. "Consider-Then-Choose Models in Decision-Based Design Optimization." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71176.

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This article describes an advance in design optimization that includes consumer purchasing decisions. Decision-Based Design optimization commonly relies on Discrete Choice Analysis (DCA) to forecast sales and revenues for different product variants. Conventional DCA, which represents consumer choice as a compensatory process through maximization of a smooth utility function, has proven to be reasonably accurate at predicting choice and interfaces easily with engineering models. However the marketing literature has documented significant improvement in modeling choice with the use of models tha

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Wang, Mingxian, and Wei Chen. "Predicting Consumer Choice Set Using Product Association Network and Data Analytics." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12425.

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Although discrete choice analysis has been shown to be useful for modeling consumer preferences and choice behaviors in the field of engineering design, information of choice set composition is often not available in majority of the collected consumer purchase data. When a large set of choice alternatives exist for a product, such as automotive vehicles, randomly choosing a small set of product alternatives to form a choice set for each individual consumer will result in misleading choice modeling results. In this work, we propose a data-analytics approach to mine existing data of choice sets

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Du, Ping, and Erin F. MacDonald. "Products’ Shared Visual Features Do Not Cancel in Consumer Decisions." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-48110.

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Consumers’ product purchase decisions typically involve comparing competing products’ visual features and functional attributes. Companies strive for “product differentiation” [1–5], which makes consumers’ product comparisons fruitful but also sometimes challenging. Psychologists that study decision-making have created models of choice such as the cancellation-and-focus (C&F) model. C&F explains and predicts how people decide between choice alternatives with both shared and unique attributes: the shared attributes are “cancelled” (ignored) while the unique ones have greater weight in d

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Shiau, Ching-Shin, Ian H. Tseng, Andrew W. Heutchy, and Jeremy Michalek. "Design Optimization of a Laptop Computer Using Aggregate and Mixed Logit Demand Models With Consumer Survey Data." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34883.

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Laptop computers are designed in a variety of shapes and sizes in order to satisfy diverse consumer preferences. Each design is optimized to attract consumers with a particular set of preferences for design tradeoffs. Gaining a better understanding of these tradeoffs and preferences is beneficial to both laptop designers and to consumers. This paper introduces an engineering model for laptop computer design and a demand model derived from a main-effects choice-based conjoint survey. Several demand model specifications are compared, including linear-in-parameters and discrete part-worth specifi

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Hoyle, Christopher, Wei Chen, Nanxin Wang, and Frank S. Koppelman. "Bayesian Hierarchical Choice Modeling Framework for Capturing Heterogeneous Preferences in Engineering System Design." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87026.

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Choice models play a critical role in enterprise-driven design by providing a link between engineering design attributes and customer preferences. In our previous work, we introduced the hierarchical choice modeling approach to address the special needs in complex engineering system design. The hierarchical choice modeling approach utilizes multiple model levels to create a link between qualitative attributes considered by consumers when selecting a product and quantitative attributes used for engineering design. In this work, the approach is expanded to the Bayesian Hierarchical Choice Modeli

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Sylcott, Brian, Seth Orsborn, and Jonathan Cagan. "The Effect of Product Representation in Visual Conjoint Analysis." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34443.

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When most designers set out to develop a new product they solicit feedback from potential consumers. These data are incorporated into the design process in an effort to more effectively meet customer requirements. Often these data are used to construct a model of consumer preference capable of evaluating candidate designs. Although the mechanics of these models have been extensively studied there are still some open questions, particularly with respect to models of aesthetic preference. When constructing preference models, simplistic product representations are often favored over high fidelity

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STATNICKAITĖ, Justė, and Monika PAULĖ. "MODEL FOR SOCIAL MARKETING IMPACT ON CONSUMERS HEALTHY LIFESTYLE CHOICE." In International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering". Vilnius Gediminas Technical University, 2021. http://dx.doi.org/10.3846/cibmee.2021.578.

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Purpose – the purpose of this article is to present the novel model developed to measure social marketing impact on consumers choice for healthy lifestyle. Social marketing is very complex by aiming to promote socially responsible products and behavior for the benefit of the consumer and society at the same time. What is more, con- sumers choice for healthy lifestyle is determined not only by marketing influence but other personality and external environment factors as well. Research methodology – the model presented in the article was developed based on literature analysis and secondary data.

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Tonković Pražić, Ivana. "INFLUENCE OF PERSONAL VALUES ON CONSUMER CHOICE AND INTENTION TO BUY: A CASE OF CROATIAN AUTOMOBILE MARKET." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.s.p.2020.117.

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This paper aimed to identify the factors and segments of car buyers based on their personal values and analyzing their relation to car buyers’ choice and intention to buy. A survey involving 561 participants was conducted using the PVQ scale and additional questions about car-buying behavior. Upon collecting the data, statistical analysis was conducted that allowed for nine value types to be successfully distinguished among car buyers: benevolence, universalism, self-direction, stimulation, hedonism, achievement, and power, security, conformity, and tradition. Additionally, based on the abovem

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Heckmann, C. Grace, Jeremy J. Michalek, W. Ross Morrow, and Yimin Liu. "Sensitivity of Vehicle Market Share Predictions to Alternative Discrete Choice Model Specifications." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13372.

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When design decisions are informed by consumer choice models, uncertainty in the choice model and its share predictions creates uncertainty for the designer. We take a first step in investigating the variation in and accuracy of market share predictions by characterizing fit and forecast accuracy of multinomial logit, mixed logit, and nested logit models over a variety of utility function specifications for the US light duty new vehicle market. Using revealed preference data for years 2004–2006, we estimate a multinomial logit model for each combination of a chosen set of utility function cova

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Reports on the topic "Consumer choice models"

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Abaluck, Jason, and Giovanni Compiani. A Method to Estimate Discrete Choice Models that is Robust to Consumer Search. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w26849.

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Ketcham, Jonathan, Nicolai Kuminoff, and Christopher Powers. Which Models Can We Trust to Evaluate Consumer Decision Making? Comment on “Choice Inconsistencies among the Elderly”. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21387.

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Liu, Changzheng, and David L. Greene. Consumer Vehicle Choice Model Documentation. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1136643.

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Berry, Steven, and Philip Haile. Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15276.

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DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, et al. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participa

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