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No Such Thing as Too Much Chocolate: Evidence Against Choice Overload in E-Commerce

Published:02 May 2017Publication History

ABSTRACT

E-commerce designers must decide how many products to display at one time. Choice overload research has demonstrated the surprising finding that more choice is not necessarily better?selecting from larger choice sets can be more cognitively demanding and can result in lower levels of choice satisfaction. This research tests the choice overload effect in an e-commerce context and explores how the choice overload effect is influenced by an individual's tendency to maximize or satisfice decisions. We conducted an online experiment with 611 participants randomly assigned to select a gourmet chocolate bar from either 12, 24, 40, 50, 60, or 72 different options. Consistent with prior work, we find that maximizers are less satisfied with their product choice than satisficers. However, using Bayesian analysis, we find that it's unlikely that choice set size affects choice satisfaction by much, if at all. We discuss why the decision-making process may be different in e-commerce contexts than the physical settings used in previous choice overload experiments.

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References

  1. Bharath Arunachalam, Shida R. Henneberry, Jayson L. Lusk, and F. Bailey Norwood. 2009. An Empirical Investigation into the Excessive-Choice Effect. American Journal of Agricultural Economics 91, 3: 810--825.Google ScholarGoogle ScholarCross RefCross Ref
  2. Dirk Bollen, Bart P. Knijnenburg, Martijn C. Willemsen, and Mark Graus. 2010. Understanding Choice Overload in Recommender Systems. In Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys '10), 63--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. D. Eric Boyd and Kenneth D. Bahn. 2009. When Do Large Product Assortments Benefit Consumers? An Information-Processing Perspective. Journal of Retailing 85, 3: 288--297.Google ScholarGoogle ScholarCross RefCross Ref
  4. Shun Cai, Yunjie Xu, and Jie Yu. 2008. The Effects of Web Site Aesthetics and Shopping Task on Consumer Online Purchasing Behavior. In CHI '08 Extended Abstracts on Human Factors in Computing Systems (CHI EA '08), 3477--3482. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Alexander Chernev. 2011. Product Assortment and Consumer Choice: An Interdisciplinary Review. Foundations and Trends in Marketing 6, 1: 1--61.Google ScholarGoogle ScholarCross RefCross Ref
  6. Alexander Chernev. 2011. Product Assortment and Consumer Choice: An Interdisciplinary Review. Foundations and Trends® in Marketing 6, 1: 1--61.Google ScholarGoogle Scholar
  7. Alexander Chernev, Böckenholt, and Goodman. 2014. Choice overload: A conceptual review and metaanalysis. Journal of Consumer Psychology.Google ScholarGoogle Scholar
  8. Pawitra Chiravirakul and Stephen J. Payne. 2014. Choice Overload in Search Engine Use? In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14), 1285--1294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Jonathan D. D'Angelo and Catalina L. Toma. 2016. There Are Plenty of Fish in the Sea: The Effects of Choice Overload and Reversibility on Online Daters' Satisfaction With Selected Partners. Media Psychology: 1--27.Google ScholarGoogle Scholar
  10. Ilan Dar-Nimrod, Catherine D. Rawn, Darrin R. Lehman, and Barry Schwartz. 2009. The Maximization Paradox: The costs of seeking alternatives. Personality and Individual Differences 46, 5--6: 631--635.Google ScholarGoogle ScholarCross RefCross Ref
  11. Kristin Diehl and Cait Poynor. 2010. Great Expectations?! Assortment Size, Expectations, and Satisfaction. Journal of Marketing Research 47, 2: 312--322.Google ScholarGoogle ScholarCross RefCross Ref
  12. Zoltan Dienes. 2011. Bayesian Versus Orthodox Statistics: Which Side Are You On? Perspectives on Psychological Science 6, 3: 274--290.Google ScholarGoogle ScholarCross RefCross Ref
  13. Pierre Dragicevic. 2016. Fair Statistical Communication in HCI. In Modern Statistical Methods for HCI, Judy Robertson and Maurits Kaptein (eds.). Springer International Publishing, 291--330. Retrieved September 2, 2016 from http://link.springer.com.proxy.lib.umich.edu/chapter/1 0.1007/978--3--319--26633--6_13Google ScholarGoogle ScholarCross RefCross Ref
  14. C.R. Gallistel. 2009. The importance of proving the null. Psychological Review 116, 2: 439--453.Google ScholarGoogle ScholarCross RefCross Ref
  15. Anthony Griffin and Dennis Viehland. 2012. Demographic Factors in Assessing Perceived Risk in Online Shopping. In Proceedings of the 13th International Conference on Electronic Commerce (ICEC '11), 9:1--9:6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Gerald Häubl and Pablo Figueroa. 2002. Ineractive 3D Presentations and Buyer Behavior. In CHI '02 Extended Abstracts on Human Factors in Computing Systems (CHI EA '02), 744--745. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Graeme A. Haynes. 2009. Testing the boundaries of the choice overload phenomenon: The effect of number of options and time pressure on decision difficulty and satisfaction. Psychology and Marketing 26, 3: 204--212.Google ScholarGoogle ScholarCross RefCross Ref
  18. Rink Hoekstra, Richard D. Morey, Jeffrey N. Rouder, and Eric-Jan Wagenmakers. 2014. Robust misinterpretation of confidence intervals. Psychonomic Bulletin & Review 21, 5: 1157--1164.Google ScholarGoogle ScholarCross RefCross Ref
  19. George S. Howard, Scott E. Maxwell, and Kevin J. Fleming. 2000. The proof of the pudding: An illustration of the relative strengths of null hypothesis, meta-analysis, and Bayesian analysis. Psychological Methods 5, 3: 315--332.Google ScholarGoogle ScholarCross RefCross Ref
  20. Jessica Hullman, Paul Resnick, and Eytan Adar. 2015. Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering. PloS one 10, 11: e0142444.Google ScholarGoogle ScholarCross RefCross Ref
  21. Iyengar and Mark R. Lepper. 2000. When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology 79, 6: 995--1006.Google ScholarGoogle ScholarCross RefCross Ref
  22. Sheena S. Iyengar, Rachael E. Wells, and Barry Schwartz. 2006. Doing Better but Feeling Worse: Looking for the "Best" Job Undermines Satisfaction. Psychological Science 17, 2: 143--150.Google ScholarGoogle ScholarCross RefCross Ref
  23. Eric J. Johnson, Suzanne B. Shu, Benedict G. C. Dellaert, et al. 2012. Beyond nudges: Tools of a choice architecture. Marketing Letters 23, 2: 487--504.Google ScholarGoogle ScholarCross RefCross Ref
  24. Matthew Kay, Gregory L. Nelson, and Eric B. Hekler. 2016. Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), 4521--4532. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Scott Kessler. 2014. Industry Surveys, Computers: Consumer Services & the Internet. S&P Capital IQ.Google ScholarGoogle Scholar
  26. John K. Kruschke. 2010. Bayesian data analysis. Wiley Interdisciplinary Reviews: Cognitive Science 1, 5: 658--676.Google ScholarGoogle ScholarCross RefCross Ref
  27. Khai Sheang Lee and Soo Jiuan Tan. 2003. E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice. Journal of Business Research 56, 11: 877--885.Google ScholarGoogle ScholarCross RefCross Ref
  28. Junzhao Ma. 2016. Does Greater Online Assortment Pay? An Empirical Study Using Matched Online and Catalog Shoppers. Journal of Retailing.Google ScholarGoogle ScholarCross RefCross Ref
  29. Richard McElreath. 2012. Statistical rethinking R package. R package version 1.Google ScholarGoogle Scholar
  30. Richard McElreath. 2016. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.Google ScholarGoogle Scholar
  31. Shailey Minocha, Marian Petre, Ekaterini Tzanidou, et al. 2006. Evaluating e-Commerce Environments: Approaches to Cross-disciplinary Investigation. In CHI '06 Extended Abstracts on Human Factors in Computing Systems (CHI EA '06), 1121--1126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Anthony D. Miyazaki and Ana Fernandez. 2001. Consumer Perceptions of Privacy and Security Risks for Online Shopping. Journal of Consumer Affairs 35, 1: 27--44.Google ScholarGoogle ScholarCross RefCross Ref
  33. Antti Oulasvirta, Janne P. Hukkinen, and Barry Schwartz. 2009. When More is Less: The Paradox of Choice in Search Engine Use. In Proceedings of the 32Nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '09), 516--523. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. PWC. 2015. Total Retail 2015: Retailers and the Age of Disruption. PricewaterhouseCoopers.Google ScholarGoogle Scholar
  35. Elena Reutskaja and Robin M. Hogarth. 2009. Satisfaction in choice as a function of the number of alternatives: When "goods satiate." Psychology and Marketing 26, 3: 197--203.Google ScholarGoogle ScholarCross RefCross Ref
  36. Jens Riegelsberger and M. Angela Sasse. 2002. Face It - Photos Don't Make a Web Site Trustworthy. In CHI '02 Extended Abstracts on Human Factors in Computing Systems (CHI EA '02), 742--743. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Jens Riegelsberger, M. Angela Sasse, and John D. McCarthy. 2003. Shiny Happy People Building Trust?: Photos on e-Commerce Websites and Consumer Trust. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03), 121--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Benjamin Scheibehenne, Rainer Greifeneder, and Peter M. Todd. 2009. What moderates the too-muchchoice effect? Psychology and Marketing 26, 3: 229-- 253.Google ScholarGoogle ScholarCross RefCross Ref
  39. Benjamin Scheibehenne, Rainer Greifeneder, and Peter M. Todd. 2010. Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload. Journal of Consumer Research 37, 3: 409-- 425.Google ScholarGoogle ScholarCross RefCross Ref
  40. Barry Schwartz. 2004. The paradox of choice: why more is less. ECCO, New York.Google ScholarGoogle Scholar
  41. Barry Schwartz, Andrew Ward, John Monterosso, Sonja Lyubomirsky, Katherine White, and Darrin R. Lehman. 2002. Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology 83, 5: 1178--1197.Google ScholarGoogle ScholarCross RefCross Ref
  42. Barry Schwartz, Andrew Ward, John Monterosso, Sonja Lyubomirsky, Katherine White, and Darrin R. Lehman. 2002. Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology 83, 5: 1178--1197.Google ScholarGoogle ScholarCross RefCross Ref
  43. Avni M. Shah and George Wolford. 2007. Buying Behavior as a Function of Parametric Variation of Number of Choices. Psychological Science 18, 5: 369-- 370.Google ScholarGoogle ScholarCross RefCross Ref
  44. Herbert A. Simon. 1996. The Sciences of the Artificial. MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Statista. 2015. E-commerce in the United States. Statista Dossier. Retrieved from http://www.statista.com/study/28028/e-commerce-inthe-united-states-statista-dossier/Google ScholarGoogle Scholar
  46. Ulrike Steinbrück, Heike Schaumburg, Sabrina Duda, and Thomas Krüger. 2002. A Picture Says More Than a Thousand Words: Photographs As Trust Builders in e-Commerce Websites. In CHI '02 Extended Abstracts on Human Factors in Computing Systems (CHI EA '02), 748--749. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Vertical Web Media LLC. 2015. Top 500 Guide. Internet Retailer.Google ScholarGoogle Scholar

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      cover image ACM Conferences
      CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
      May 2017
      7138 pages
      ISBN:9781450346559
      DOI:10.1145/3025453

      Copyright © 2017 ACM

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      Publication History

      • Published: 2 May 2017

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      CHI '17 Paper Acceptance Rate600of2,400submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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