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A field study comparing online and offline data collection methods for identifying product attribute preferences using conjoint analysis

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  • Sethuraman, Raj
  • Kerin, Roger A.
  • Cron, William L.

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  • Sethuraman, Raj & Kerin, Roger A. & Cron, William L., 2005. "A field study comparing online and offline data collection methods for identifying product attribute preferences using conjoint analysis," Journal of Business Research, Elsevier, vol. 58(5), pages 602-610, May.
    • Handle: RePEc:eee:jbrese:v:58:y:2005:i:5:p:602-610
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    1. Chakraborty, Goutam & Ball, Dwayne & Gaeth, Gary J. & Jun, Sunkyu, 2002. "The ability of ratings and choice conjoint to predict market shares: a Monte Carlo simulation," Journal of Business Research, Elsevier, vol. 55(3), pages 237-249, March.
    2. Celsi, Richard L & Olson, Jerry C, 1988. "The Role of Involvement in Attention and Comprehension Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(2), pages 210-224, September.
    3. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
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    1. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Michael Nayat Young & John Francis T. Diaz & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Nattakit Yuduang & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    2. Van Ittersum, Koert & Pennings, Joost M.E. & Wansink, Brian & van Trijp, Hans C.M., 2007. "The validity of attribute-importance measurement: A review," Journal of Business Research, Elsevier, vol. 60(11), pages 1177-1190, November.
    3. Chou, Yuntsai, 2014. "A compensation model developed to liberalize spectrum in the G4 era," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106897, International Telecommunications Society (ITS).
    4. Gazley, Aaron & Clark, Gemma & Sinha, Ashish, 2011. "Understanding preferences for motion pictures," Journal of Business Research, Elsevier, vol. 64(8), pages 854-861, August.
    5. Emmanuel Olateju Oyatoye & Sulaimon Olanrewaju Adebiyi & Bilqis Bolanle Amole, 2013. "An Application of Conjoint Analysis to Consumer Preference for Beverage Products in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(6), pages 43-56, December.
    6. Debi Mishra & Junhong Min & M. Deniz Dalman, 2012. "An Empirical Assessment of Stimulus Presentation Mode Bias in Conjoint Analysis," Post-Print hal-04325786, HAL.
    7. Ma. Janice J. Gumasing & Ardvin Kester S. Ong & Maria Angelica D. Bare, 2022. "User Preference Analysis of a Sustainable Workstation Design for Online Classes: A Conjoint Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    8. Chou, Yuntsai & Hu, Weimin & Lien, Hsienming, 2015. "A compensation model developed to increase spectrum usage efficiency in the 4G era," 2015 Regional ITS Conference, Los Angeles 2015 146334, International Telecommunications Society (ITS).
    9. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Kerr Lorenzo Picazo & Kim Aaron Salvador & Bobby Ardiansyah Miraja & Yoshiki B. Kurata & Thanatorn Chuenyindee & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    10. Meise, Jan Niklas & Rudolph, Thomas & Kenning, Peter & Phillips, Diane M., 2014. "Feed them facts: Value perceptions and consumer use of sustainability-related product information," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 510-519.
    11. Nick Huntington‐Klein, 2018. "College Choice As A Collective Decision," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1202-1219, April.
    12. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    13. S. Ong, Ardvin Kester & Prasetyo, Yogi Tri & Chuenyindee, Thanatorn & Young, Michael Nayat & Doma, Bonifacio T. & Caballes, Dennis G. & Centeno, Raffy S. & Morfe, Anthony S. & Bautista, Christine S., 2022. "Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach," Evaluation and Program Planning, Elsevier, vol. 92(C).
    14. Jarvis, Wade & Mueller, Simone & Chiong, Kathleen, 2010. "A latent analysis of images and words in wine choice," Australasian marketing journal, Elsevier, vol. 18(3), pages 138-144.
    15. Oh, Hyunjoo & Weitz, Barton & Lim, Jeremy, 2016. "Retail career attractiveness to college students: Connecting individual characteristics to the trade-off of job attributes," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 345-354.

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