How Do Social Information Cues Affect Consumers’ Product Choice Experiences? Findings from a Controlled Online Experiment

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						@Select Types{,
							 
							 
							 
							 
							 
							Journal   = "Band-1",
							 Title= "How Do Social Information Cues Affect Consumers’ Product Choice Experiences? Findings from a Controlled Online Experiment", 
							Author= "Thomas Friedrich, Sven Overhage, and Sebastian Schlauderer", 
							Doi= "https://doi.org/10.30844/wi_2020_o1-friedrich", 
							 Abstract= "Social media change the way consumers gather and evaluate information when choosing products. To benefit from this development, online sellers have begun augmenting product presentations with social information cues like sales numbers or product ratings. While such cues can influence consumers’ buying behavior, it remains unclear how they affect consumers’ product choice experiences. This makes it difficult to use them in a systematic manner. Using the stimulus-organism-response paradigm, we develop a research model to explain how a social information cue affects consumers’ satisfaction with their product choice via perceived choice difficulty and enjoyment. We evaluate it in a controlled online experiment, in which 147 participants used versions of an e-commerce website with varying social information cues. The results indicate that the provisioning of social information cues positively affects the choice satisfaction by decreasing the perceived choice difficulty and increasing enjoyment. The effects of individual cues vary considerably, however.

", 
							 Keywords= "Social Information Cues, Electronic Commerce, Product Choice, Stimulus-Organism-Response Model, Controlled Online Experiment.
", 
							}
					
Thomas Friedrich, Sven Overhage, and Sebastian Schlauderer: How Do Social Information Cues Affect Consumers’ Product Choice Experiences? Findings from a Controlled Online Experiment. Online: https://doi.org/10.30844/wi_2020_o1-friedrich (Abgerufen 16.04.24)

Abstract

Abstract

Social media change the way consumers gather and evaluate information when choosing products. To benefit from this development, online sellers have begun augmenting product presentations with social information cues like sales numbers or product ratings. While such cues can influence consumers’ buying behavior, it remains unclear how they affect consumers’ product choice experiences. This makes it difficult to use them in a systematic manner. Using the stimulus-organism-response paradigm, we develop a research model to explain how a social information cue affects consumers’ satisfaction with their product choice via perceived choice difficulty and enjoyment. We evaluate it in a controlled online experiment, in which 147 participants used versions of an e-commerce website with varying social information cues. The results indicate that the provisioning of social information cues positively affects the choice satisfaction by decreasing the perceived choice difficulty and increasing enjoyment. The effects of individual cues vary considerably, however.

Keywords

Schlüsselwörter

Social Information Cues, Electronic Commerce, Product Choice, Stimulus-Organism-Response Model, Controlled Online Experiment.

References

Referenzen

1. Cheung, C.M.K., Xiao, B.S., Liu, I.L.B.: Do Actions Speak Louder Than Voices? The Signaling Role of Social Information Cues in Influencing Consumer Purchase Decisions. Decis. Support Syst. 65, 50-58 (2014)
2. Kim, H., Park, K., Eighmey, J.: The Effects of Social Information Cues Featured in SNS Ads on Unfamiliar Product Adoption. J. Promot. Manag. 25, 541-569 (2019)
3. Mou, J., Shin, D.: Effects of Social Popularity and Time Scarcity on Online Consumer Behaviour Regarding Smart Healthcare Products: An Eye-Tracking Approach. Comput. Hum. Behav. 78, 74-89 (2018)
4. He, Y., Oppewal, H.: See How Much We’ve Sold Already! Effects of Displaying Sales and Stock Level Information on Consumers’ Online Product Choices. J. Retailing 94, 45- 57 (2018)
5. Huang, J.-H., Chen, Y.-F.: Herding in Online Product Choice. Psychol. Marketing 23, 413- 428 (2006)
6. Park, D.-H., Lee, J., Han, I.: The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. Int. J. Electron. Comm. 11, 125-148 (2007)
7. Yu, S., Hudders, L., Cauberghe, V.: Are Fashion Consumers Like Schooling Fish? The Effectiveness of Popularity Cues in Fashion E-Commerce. J. Bus. Res. 85, 105-116 (2018)
8. Deng, H., Wang, W., Lim, K.H.: Reducing User Avoidance of Sponsored Search Results: The Effects of Social Influence Cues. In: Proceedings of the 37th International Conference on Information Systems (ICIS), pp. 1-22 (2016)
9. Kao, K.C., Rao Hill, S., Troshani, I.: Online Consumers’ Responses to Deal Popularity as an Extrinsic Cue. J. Comput. Inform. Syst. 1-11 (2016)
10. Heitmann, M., Lehmann, D.R., Herrmann, A.: Choice Goal Attainment and Decision and Consumption Satisfaction. J. Marketing Res. 44, 234-250 (2007)
11. Kamis, A., Stern, T., Ladik, D.M.: A Flow-Based Model of Web Site Intentions When Users Customize Products in Business-to-Consumer Electronic Commerce. Inform. Syst. Front. 12, 157-168 (2008)
12. Mehrabian, A., Russell, J.A.: An Approach to Environmental Psychology. The MIT Press, Cambridge, USA (1974)
13. Wells, J.D., Valacich, J.S., Hess, T.J.: What Signals Are You Sending? How Website Quality Influences Perceptions of Product Quality and Purchase Intentions. MIS Quart. 35, 373-396 (2011)
14. Iyengar, S.S., Lepper, M.R.: When Choice Is Demotivating: Can One Desire Too Much of a Good Thing? J. Pers. Soc. Psychol. 79, 995-1006 (2000)
15. Isen, A.M.: An Influence of Positive Affect on Decision Making in Complex Situations: Theoretical Issues with Practical Implications. J. Consum. Psychol. 11, 75-85 (2001)
16. Spassova, G., Isen, A.M.: Positive Affect Moderates the Impact of Assortment Size on Choice Satisfaction. J. Retailing 89, 397-408 (2013)
17. Valenzuela, A., Dhar, R., Zettelmeyer, F.: Contingent Response to Self-Customization Procedures: Implications for Decision Satisfaction and Choice. J. Marketing Res. 46, 754- 763 (2009)
18. Smead, R.J., Wilcox, J.B., Wilkes, R.E.: How Valid are Product Descriptions and Protocols in Choice Experiments? J. Consum. Res. 8, 37-42 (1981)
19. Hwang, Y., Kim, D.J.: Customer Self-Service Systems: The Effects of Perceived Web Quality with Service Contents on Enjoyment, Anxiety, and E-Trust. Decis. Support Syst. 43, 746-760 (2007)
20. Dhar, R.: The Effect of Decision Strategy on Deciding to Defer Choice. J. Behav. Decis. Making 9, 265-281 (1996)
21. Harvey, J.H., Jellison, J.M.: Determinants of Perceived Choice, Number of Options, and Perceived Time in Making a Selection. Mem. Cognition 2, 539-544 (1974)
22. Mosteller, J., Donthu, N., Eroglu, S.: The Fluent Online Shopping Experience. J. Bus. Res. 67, 2486-2493 (2014)
23. Fassnacht, M., Schmidt, T., Pannek, J.: Determinants of Choice Satisfaction in a High- Involvement Product Choice. J. Manage. Marketing Res. 19, 1-19 (2015)
24. Kirmani, A., Rao, A.R.: No Pain, No Gain: A Critical Review of the Literature on Signaling Unobservable Product Quality. J. Marketing 64, 66-79 (2000)
25. Hassanein, K., Head, M.: The Impact of Infusing Social Presence in the Web Interface: An Investigation Across Product Types. Int. J. Electron. Comm. 10, 31-55 (2005)
26. Arnold, M.J., Reynolds, K.E.: Hedonic Shopping Motivations. J. Retailing 79, 77-95 (2003)
27. Shiv, B., Fedorikhin, A.: Heart and Mind in Conflict: The Interplay of Affect and Cognition in Consumer Decision Making. J. Consum. Res. 26, 278-292 (1999)
28. Anderson, C.J.: The Psychology of Doing Nothing: Forms of Decision Avoidance Result from Reason and Emotion. Psychol. Bull 129, 139-166 (2003)
29. Steinhart, Y., Kamins, M., Mazursky, D., Noy, A.: Effects of Product Type and Contextual Cues on Eliciting Naive Theories of Popularity and Exclusivity. J. Consum. Psychol. 24, 472-483 (2014)
30. Wu, L., Lee, C.: Limited Edition for Me and Best Seller for You: The Impact of Scarcity Versus Popularity Cues on Self Versus Other-Purchase Behavior. J. Retailing 92, 486-499 (2016)
31. Cyr, D., Head, M., Larios, H., Pan, B.: Exploring Human Images in Website Design: A Multi-Method Approach. MIS Quart. 33, 539-566 (2009)
32. Dahl, D.W., Moreau, C.P.: Thinking inside the Box: Why Consumers Enjoy Constrained Creative Experiences. J. Marketing Res. 44, 357-369 (2007)
33. Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., Podsakoff, N.P.: Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. J. Appl. Psychol. 88, 879-903 (2003)
34. Liang, H., Saraf, N., Hu, Q., Xue, Y.: Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management. MIS Quart. 31, 59-87 (2007)
35. Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: Indeed a Silver Bullet. J. Market. Theor. Pract. 19, 139-152 (2011)
36. Falk, R.F., Miller, N.B.: A Primer for Soft Modeling. University of Akron Press, Akron, USA (1992)
37. Hair, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling. Sage Publications, Thousand Oaks, USA (2014)
38. Seock, Y.-K., Bailey, L.R.: The Influence of College Students’ Shopping Orientations and Gender Differences on Online Information Searches and Purchase Behaviours. Int. J. Consum. Stud. 32, 113-121 (2008)

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