Literatura académica sobre el tema "Choice-Based Conjoint Analysi"
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Artículos de revistas sobre el tema "Choice-Based Conjoint Analysi"
Kim, Jinmin, Kwangtae Park y Hosun Rhim. "Analysis of Product-Service Integration Effect using Choice-based Conjoint Analysis". Journal of the Korean Operations Research and Management Science Society 39, n.º 1 (31 de marzo de 2014): 101–12. http://dx.doi.org/10.7737/jkorms.2014.39.1.101.
Texto completoCunningham, Charles E., Ken Deal y Yvonne Chen. "Adaptive Choice-Based Conjoint Analysis". Patient: Patient-Centered Outcomes Research 3, n.º 4 (diciembre de 2010): 257–73. http://dx.doi.org/10.2165/11537870-000000000-00000.
Texto completoBARBOSA, Eduardo Campana, Carlos Henrique Osório SILVA, Moysés NASCIMENTO, Fabyano Fonseca e. SILVA, Valéria Paula Rodrigues MINIM, Rosires DELIZA y Suzana Maria DELLA LUCIA. "Choice-Based Conjoint Analysis: A Bayesian Approach". REVISTA BRASILEIRA DE BIOMETRIA 36, n.º 1 (3 de abril de 2018): 1. http://dx.doi.org/10.28951/rbb.v36i1.102.
Texto completoVilikus, Ondřej. "Hybrid Approach to Choice-Based Conjoint Analysis". Acta Oeconomica Pragensia 21, n.º 4 (1 de agosto de 2013): 3–19. http://dx.doi.org/10.18267/j.aop.407.
Texto completoDesarbo, Wayne S., Venkatram Ramaswamy y Steven H. Cohen. "Market segmentation with choice-based conjoint analysis". Marketing Letters 6, n.º 2 (marzo de 1995): 137–47. http://dx.doi.org/10.1007/bf00994929.
Texto completoKim, Bu-Yong. "New Design of Choice Sets for Choice-based Conjoint Analysis". Korean Journal of Applied Statistics 25, n.º 5 (31 de octubre de 2012): 847–57. http://dx.doi.org/10.5351/kjas.2012.25.5.847.
Texto completoToubia, Olivier, John R. Hauser y Duncan I. Simester. "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis". Journal of Marketing Research 41, n.º 1 (febrero de 2004): 116–31. http://dx.doi.org/10.1509/jmkr.41.1.116.25082.
Texto completoMeißner, Martin y Reinhold Decker. "Eye-Tracking Information Processing in Choice-Based Conjoint Analysis". International Journal of Market Research 52, n.º 5 (septiembre de 2010): 593–612. http://dx.doi.org/10.2501/s147078531020151x.
Texto completoSchlereth, Christian y Bernd Skiera. "Schätzung von Zahlungsbereitschaftsintervallen mit der Choice-Based Conjoint-Analyse". Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 61, n.º 8 (diciembre de 2009): 838–56. http://dx.doi.org/10.1007/bf03373670.
Texto completoVerma, Vivek Kumar y Bibhas Chandra. "Sustainability and customers’ hotel choice behaviour: a choice-based conjoint analysis approach". Environment, Development and Sustainability 20, n.º 3 (5 de abril de 2017): 1347–63. http://dx.doi.org/10.1007/s10668-017-9944-6.
Texto completoTesis sobre el tema "Choice-Based Conjoint Analysi"
Barbosa, Eduardo Campana. "Choice-Based Conjoint Analysis: um enfoque bayesiano". Universidade Federal de Viçosa, 2015. http://www.locus.ufv.br/handle/123456789/7179.
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A presente dissertação teve como objetivo principal demonstrar um enfoque Bayesiano para a metodologia Choice-Based Conjoint Analysis (CBCA). Apresenta-se no texto uma ampla revisão sobre a CBCA (Capítulo 1), sobre o modelo Logit Multinomial [desenvolvimento do modelo, procedimentos de estimação de parâmetros, probabilidades e razões de escolha (Capítulo 2)] e sobre o enfoque de estimação Bayesiano [distribuição a priori utilizada, aproximação de Laplace para a função de verossimilhança, distribuições a posteriori e detalhes sobre o algoritmo MCMC empregado (Capítulo 3)]. No Capítulo 4 apresenta-se um exemplo hipotético, no intuito de demonstrar os resultados e inferências que podem ser obtidos por meio desta recente abordagem (Bayesiana), sendo também apresentados os resultados do enfoque Frequentista. O tratamento em estudo foi um tipo de refrigerante e avaliou-se o efeito de três fatores (A, B e C) na intenção de compra de 96 consumidores, por meio de dados simulados. As análises estatísticas foram conduzidas no software livre R, cujos scripts encontram-se disponibilizados nos apêndices desta dissertação. Concluiu-se que a abordagem Bayesiana para CBCA apresentou resultados interessantes e satisfatórios, com estimativas similares às Frequentistas e mostrando-se uma alternativa metodológica viável para os estudos de CBCA. Adicionalmente, a abordagem proposta possibilitou ainda ao pesquisador construir intervalos de credibilidade (percentis das distribuições a posteriori) para as probabilidades e razões de escolha, no intuito de comparar estas quantidades ou testar hipóteses sobre estas. Quanto aos resultados práticos, a maior probabilidade de escolha estava associada ao tratamento 4, composto pelo nível do fator A, nível do fator B e nível do fator C.
This dissertation main goal is to demonstrate the Bayesian approach to Choice-Based Conjoint Analysis (CBCA). We present a comprehensive review of the CBCA methodology (Chapter 1), on the Multinomial Logit model [model development, parameter estimation procedures, probabilities of choice ratios (Chapter 2)] and on the Bayesian estimation approach [prior distribution, Laplace approach to the likelihood function, posterior distributions and details about the MCMC algorithm we applied (Chapter 3)]. In Chapter 4 we present a hypothetical example, in order to demonstrate the results and inferences that can be obtained through this recent approach (Bayesian), and we also present the results of the frequentist approach. The treatment for the study was a type of refrigerant (soda or soft drink) and we evaluated the effect of three factors (volume, type and color) on purchase intention of 96 consumers, using simulated data. Statistical analyzes were conducted with the free software R, whose scripts are provided in the appendices of this dissertation. It was concluded that the Bayesian approach to CBCA presented interesting and satisfactory results, with estimates similar to the frequentist ones, therefore proved to be a viable alternative methodology for CBCA studies. Additionally, the proposed approach also allows the researcher to build credibile intervals (percentiles of the posterior distributions) for the probabilities and choice ratios, in order to compare these quantities or test hypotheses about them. In terms of practical or applied results, the highest estimated probability of choice was obtained for treatment 4, with a1 level of factor A, b2 level of factor B and C1 level of factor C.
Wirth, Ralph. "Best-Worst Choice-Based Conjoint-Analyse : eine neue Variante der wahlbasierten Conjoint-Analyse /". Marburg : Tectum-Verl, 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018939410&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Texto completoWirth, Ralph. "Best-Worst Choice-Based Conjoint-Analyse eine neue Variante der wahlbasierten Conjoint-Analyse". Marburg Tectum-Verl, 2009. http://d-nb.info/1000027414/04.
Texto completoNatter, Martin y Markus Feurstein. "Improving predictive validity of choice-based conjoint models". SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/1372/1/document.pdf.
Texto completoSeries: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Natter, Martin y Markus Feurstein. "Real world performance of choice-based conjoint models". SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/376/1/document.pdf.
Texto completoSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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.
Texto completoNatter, Martin y Markus Feurstein. "Correcting for CBC model bias. A hybrid scanner data - conjoint model". SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/880/1/document.pdf.
Texto completoSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Davids, Aayesha. "Investigating the use of generational cohort theory to identify total reward preferences". Master's thesis, Faculty of Commerce, 2018. https://hdl.handle.net/11427/31608.
Texto completoTheysohn, Sven. "Innovative Einsatzmöglichkeiten und Modifikationen der Choice-based-conjoint-Analyse zur Entwicklung und Optimierung von Preisstrategien /". Hamburg : Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3282-3.htm.
Texto completoVan, Eijk Jeff. "The relationship between cultural orientation and reward preference: a study conducted in South Africa and the Netherlands". Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/23769.
Texto completoLibros sobre el tema "Choice-Based Conjoint Analysi"
B, Wiley James y Chitturi Pallavi, eds. Choice-based conjoint analysis: Models and designs. Boca Raton, FL: Chapman & Hall/CRC, 2011.
Buscar texto completoRaghavarao, Damaraju, Pallavi Chitturi y James B. Wiley. Choice-Based Conjoint Analysis. Taylor & Francis Group, 2010.
Buscar texto completoRaghavarao, Damaraju, Pallavi Chitturi y James B. Wiley. Choice-Based Conjoint Analysis: Models and Designs. Taylor & Francis Group, 2010.
Buscar texto completoRaghavarao, Damaraju, Pallavi Chitturi y James B. Wiley. Choice-Based Conjoint Analysis: Models and Designs. Taylor & Francis Group, 2010.
Buscar texto completoMcFadden, Daniel, Moshe Ben-Akiva y Kenneth Train. Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-Based Conjoint Analysis. Now Publishers, 2019.
Buscar texto completoCapítulos de libros sobre el tema "Choice-Based Conjoint Analysi"
Eggers, Felix, Henrik Sattler, Thorsten Teichert y Franziska Völckner. "Choice-Based Conjoint Analysis". En Handbook of Market Research, 1–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-05542-8_23-1.
Texto completoEggers, Felix, Henrik Sattler, Thorsten Teichert y Franziska Völckner. "Choice-Based Conjoint Analysis". En Handbook of Market Research, 781–819. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-57413-4_23.
Texto completoRao, Vithala R. "Choice Based Conjoint Studies: Design and Analysis". En Applied Conjoint Analysis, 127–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-87753-0_4.
Texto completoGiesen, Joachim y Eva Schuberth. "The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis". En Conjoint Measurement, 259–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_13.
Texto completoElrod, Terry y Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis". En Conjoint Measurement, 235–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24713-5_10.
Texto completoElrod, Terry y Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis". En Conjoint Measurement, 209–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-06392-7_9.
Texto completoElrod, Terry y Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis". En Conjoint Measurement, 209–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-06395-8_9.
Texto completoElrod, Terry y Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis". En Conjoint Measurement, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_8.
Texto completoGensler, Sonja. "Präferenzerfassung und Präferenzanalyse mittels Conjoint Analyse und Choice-Based Conjoint Analyse". En Heterogenität in der Präferenzanalyse, 11–79. Wiesbaden: Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-82002-0_2.
Texto completoGiesen, Joachim, Klaus Mueller, Bilyana Taneva y Peter Zolliker. "Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models". En Preference Learning, 297–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14125-6_14.
Texto completoActas de conferencias sobre el tema "Choice-Based Conjoint Analysi"
Ren, Yi y Panos Y. Papalambros. "Enhanced Adaptive Choice-Based Conjoint Analysis Incorporating Engineering Knowledge". En 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/detc2014-34790.
Texto completoRazu, Swithin S. y Shun Takai. "An Approach to Modeling Customer Preference Uncertainty by Applying Bootstrap to Choice-Based Conjoint Analysis Data". En ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28231.
Texto completoSwamy, Surya, Seth Orsborn, Jeremy Michalek y Jonathan Cagan. "Measurement of Headlight Form Preference Using a Choice Based Conjoint Analysis". En ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35409.
Texto completoSylcott, Brian, Jeremy J. Michalek y Jonathan Cagan. "Towards Understanding the Role of Interaction Effects in Visual Conjoint Analysis". En 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/detc2013-12622.
Texto completoUeda, Masashi. "An Analysis on Smartphone Adoption for University Students by using Choice-Based Conjoint Analysis". En the The 3rd Multidisciplinary International Social Networks Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2955129.2955155.
Texto completoNickkar, Amirreza, Nashid K. Khadem y Hyeon-Shic Shin. "Willingness to Pay for Autonomous Vehicles: An Adaptive Choice-Based Conjoint Analysis Approach". En International Conference on Transportation and Development 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483138.001.
Texto completoYelamati, Srilatha, Dammalapati Ravi Kiran, V. V. S. Sasank y Chitturi Prasad. "Simulating Nash Equilibrium Market Outcomes with Bayesian Analysis of Choice-Based Conjoint Data". En 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2021. http://dx.doi.org/10.1109/iceca52323.2021.9675883.
Texto completoDagher, Antoine, Jean-Franc¸ois Petiot y Herve´ Guyon. "Elicitation and Modeling of Customers’ Preferences in Industrial Design: A Comparative Study on Vehicle Front End". En ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49637.
Texto completoSylcott, Brian, Seth Orsborn y Jonathan Cagan. "The Effect of Product Representation in Visual Conjoint Analysis". En 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.
Texto completoZaps, R. y S. M. Chankov. "Are Consumers Ready for Flying Taxis? A Choice-based Conjoint Analysis of eVTOLs in Germany". En 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2022. http://dx.doi.org/10.1109/ieem55944.2022.9989956.
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