Academic literature on the topic 'Choice-Based Conjoint Analysi'
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Journal articles on the topic "Choice-Based Conjoint Analysi"
Kim, Jinmin, Kwangtae Park, and Hosun Rhim. "Analysis of Product-Service Integration Effect using Choice-based Conjoint Analysis." Journal of the Korean Operations Research and Management Science Society 39, no. 1 (March 31, 2014): 101–12. http://dx.doi.org/10.7737/jkorms.2014.39.1.101.
Full textCunningham, Charles E., Ken Deal, and Yvonne Chen. "Adaptive Choice-Based Conjoint Analysis." Patient: Patient-Centered Outcomes Research 3, no. 4 (December 2010): 257–73. http://dx.doi.org/10.2165/11537870-000000000-00000.
Full textBARBOSA, Eduardo Campana, Carlos Henrique Osório SILVA, Moysés NASCIMENTO, Fabyano Fonseca e. SILVA, Valéria Paula Rodrigues MINIM, Rosires DELIZA, and Suzana Maria DELLA LUCIA. "Choice-Based Conjoint Analysis: A Bayesian Approach." REVISTA BRASILEIRA DE BIOMETRIA 36, no. 1 (April 3, 2018): 1. http://dx.doi.org/10.28951/rbb.v36i1.102.
Full textVilikus, Ondřej. "Hybrid Approach to Choice-Based Conjoint Analysis." Acta Oeconomica Pragensia 21, no. 4 (August 1, 2013): 3–19. http://dx.doi.org/10.18267/j.aop.407.
Full textDesarbo, Wayne S., Venkatram Ramaswamy, and Steven H. Cohen. "Market segmentation with choice-based conjoint analysis." Marketing Letters 6, no. 2 (March 1995): 137–47. http://dx.doi.org/10.1007/bf00994929.
Full textKim, Bu-Yong. "New Design of Choice Sets for Choice-based Conjoint Analysis." Korean Journal of Applied Statistics 25, no. 5 (October 31, 2012): 847–57. http://dx.doi.org/10.5351/kjas.2012.25.5.847.
Full textToubia, Olivier, John R. Hauser, and Duncan I. Simester. "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis." Journal of Marketing Research 41, no. 1 (February 2004): 116–31. http://dx.doi.org/10.1509/jmkr.41.1.116.25082.
Full textMeißner, Martin, and Reinhold Decker. "Eye-Tracking Information Processing in Choice-Based Conjoint Analysis." International Journal of Market Research 52, no. 5 (September 2010): 593–612. http://dx.doi.org/10.2501/s147078531020151x.
Full textSchlereth, Christian, and Bernd Skiera. "Schätzung von Zahlungsbereitschaftsintervallen mit der Choice-Based Conjoint-Analyse." Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 61, no. 8 (December 2009): 838–56. http://dx.doi.org/10.1007/bf03373670.
Full textVerma, Vivek Kumar, and Bibhas Chandra. "Sustainability and customers’ hotel choice behaviour: a choice-based conjoint analysis approach." Environment, Development and Sustainability 20, no. 3 (April 5, 2017): 1347–63. http://dx.doi.org/10.1007/s10668-017-9944-6.
Full textDissertations / Theses on the topic "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.
Full textWirth, Ralph. "Best-Worst Choice-Based Conjoint-Analyse eine neue Variante der wahlbasierten Conjoint-Analyse." Marburg Tectum-Verl, 2009. http://d-nb.info/1000027414/04.
Full textNatter, Martin, and 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.
Full textSeries: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Natter, Martin, and 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.
Full textSeries: 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.
Full textNatter, Martin, and 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.
Full textSeries: 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.
Full textTheysohn, 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.
Full textVan, 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.
Full textBooks on the topic "Choice-Based Conjoint Analysi"
B, Wiley James, and Chitturi Pallavi, eds. Choice-based conjoint analysis: Models and designs. Boca Raton, FL: Chapman & Hall/CRC, 2011.
Find full textRaghavarao, Damaraju, Pallavi Chitturi, and James B. Wiley. Choice-Based Conjoint Analysis. Taylor & Francis Group, 2010.
Find full textRaghavarao, Damaraju, Pallavi Chitturi, and James B. Wiley. Choice-Based Conjoint Analysis: Models and Designs. Taylor & Francis Group, 2010.
Find full textRaghavarao, Damaraju, Pallavi Chitturi, and James B. Wiley. Choice-Based Conjoint Analysis: Models and Designs. Taylor & Francis Group, 2010.
Find full textMcFadden, Daniel, Moshe Ben-Akiva, and Kenneth Train. Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-Based Conjoint Analysis. Now Publishers, 2019.
Find full textBook chapters on the topic "Choice-Based Conjoint Analysi"
Eggers, Felix, Henrik Sattler, Thorsten Teichert, and Franziska Völckner. "Choice-Based Conjoint Analysis." In Handbook of Market Research, 1–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-05542-8_23-1.
Full textEggers, Felix, Henrik Sattler, Thorsten Teichert, and Franziska Völckner. "Choice-Based Conjoint Analysis." In Handbook of Market Research, 781–819. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-57413-4_23.
Full textRao, Vithala R. "Choice Based Conjoint Studies: Design and Analysis." In Applied Conjoint Analysis, 127–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-87753-0_4.
Full textGiesen, Joachim, and Eva Schuberth. "The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis." In Conjoint Measurement, 259–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_13.
Full textElrod, Terry, and Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis." In Conjoint Measurement, 235–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24713-5_10.
Full textElrod, Terry, and Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis." In Conjoint Measurement, 209–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-06392-7_9.
Full textElrod, Terry, and Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis." In Conjoint Measurement, 209–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-06395-8_9.
Full textElrod, Terry, and Keith Chrzan. "The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis." In Conjoint Measurement, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_8.
Full textGensler, Sonja. "Präferenzerfassung und Präferenzanalyse mittels Conjoint Analyse und Choice-Based Conjoint Analyse." In Heterogenität in der Präferenzanalyse, 11–79. Wiesbaden: Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-82002-0_2.
Full textGiesen, Joachim, Klaus Mueller, Bilyana Taneva, and Peter Zolliker. "Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models." In Preference Learning, 297–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14125-6_14.
Full textConference papers on the topic "Choice-Based Conjoint Analysi"
Ren, Yi, and Panos Y. Papalambros. "Enhanced Adaptive Choice-Based Conjoint Analysis Incorporating Engineering Knowledge." 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/detc2014-34790.
Full textRazu, Swithin S., and Shun Takai. "An Approach to Modeling Customer Preference Uncertainty by Applying Bootstrap to Choice-Based Conjoint Analysis Data." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28231.
Full textSwamy, Surya, Seth Orsborn, Jeremy Michalek, and Jonathan Cagan. "Measurement of Headlight Form Preference Using a Choice Based Conjoint Analysis." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35409.
Full textSylcott, Brian, Jeremy J. Michalek, and Jonathan Cagan. "Towards Understanding the Role of Interaction Effects in Visual Conjoint Analysis." 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/detc2013-12622.
Full textUeda, Masashi. "An Analysis on Smartphone Adoption for University Students by using Choice-Based Conjoint Analysis." In the The 3rd Multidisciplinary International Social Networks Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2955129.2955155.
Full textNickkar, Amirreza, Nashid K. Khadem, and Hyeon-Shic Shin. "Willingness to Pay for Autonomous Vehicles: An Adaptive Choice-Based Conjoint Analysis Approach." In International Conference on Transportation and Development 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483138.001.
Full textYelamati, Srilatha, Dammalapati Ravi Kiran, V. V. S. Sasank, and Chitturi Prasad. "Simulating Nash Equilibrium Market Outcomes with Bayesian Analysis of Choice-Based Conjoint Data." In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2021. http://dx.doi.org/10.1109/iceca52323.2021.9675883.
Full textDagher, Antoine, Jean-Franc¸ois Petiot, and Herve´ Guyon. "Elicitation and Modeling of Customers’ Preferences in Industrial Design: A Comparative Study on Vehicle Front End." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49637.
Full textSylcott, 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.
Full textZaps, R., and S. M. Chankov. "Are Consumers Ready for Flying Taxis? A Choice-based Conjoint Analysis of eVTOLs in Germany." In 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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