The Bulletin of the Institute of Economics of the Russian Academy of Sciences № 3/2024.  Economics and Management.

Nadezhda M. Rozanova

Dr. Sci. (Econ.), Professor, Department of Micro and Macroeconomic Analysis, Faculty of Economics, Lomonosov Moscow State University, Moscow, Russia

ORCID: 0000-0003-3660-0625

CONTEMPORARY CONSUMER IN THE NETS OF DIGITAL ECONOMY

26-46

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Abstract

Digital economy has created both new possibilities and new risks for consumers. Researchers have noted that there arise obfuscation effects, instruments that digital ecosystems use to manipulate the optimal choice of individuals under high search transactional costs. Intertemporal price dispersions and dynamic pricing are based on the situations where clients express inattentive aspects as a result of their informational overloading in the periods of numerous price changes. Periodic up and down price oscillations hamper price understandings for consumers and serve as a beneficial focus in supporting collusive discipline within digital platforms. Newly formed price strategies on the basis of obfuscation phenomenon are out of the current competition policy and are not duly regulated.

Keywords: consumer, digital economy, obfuscation effects.

JEL: D10, D11, D40, L10

EDN: CEHRSU

DOI: https://doi.org/10.52180/2073-6487_2024_3_26_46

References

1. Akerlof G., Shiller R. Phishing for Phools: The Economics of Manipulation and Deception. 2015. Princeton. Princeton University Press.
2. Miravete E.J. Competition and the Use of Foggy Pricing // American Economic Journal: Microeconomics. 2013. Vol. 5. No. 1. Pp. 194–216.
3. Waddams C., Wilson C. Do Consumers Switch to the Best Supplier? // Oxford Economic Papers. 2010. Vol. 61. Pp. 647–668.
4. Ellison G., Ellison S.F. Search, Obfuscation, and Price Elasticities on the Internet // Econometrica. 2009. Vol. 77. No. 2. Pp. 427–452.
5. Spiegler R. Bounded Rationality and Industrial Organization. 2014. Oxford. Oxford University Press.
6. Grubb M. Behavioral Consumers in Industrial Organization: An Overview // Review of Industrial Organization. 2015. Vol. 47. No. 3. Pp. 247–258.
7. Hefti A. Limited Attention, Competition and Welfare // Journal of Economic Theory. 2018. Vol. 178. Pp. 318–359. https://doi.org/10.1016/j.jet.2018.09.012 (accessed 04.2024).
8. Diamond P. A Model of Price Adjustment // Journal of Economic Theory. 1971. Vol. 3. 156–168.
9. Ellison G. A Model of Add-On Pricing // Quarterly Journal of Economics. 2005. Vol. 120. 585–637.
10. Acemoglu D. Harms of AI. NBER Working Paper 29247. September 2021.
11. Chiles E.B.S. Shrouded Information and Strategic Transparency: Three Essays on Price Obfuscation. A Dissertation. Doctor of Philosophy in Management. University of Los Angeles. 2017.
12. Spiegler R. Competitive Framing // American Economic Journal: Microeconomics. 2014. Vol. 6. No. 3. Pp. 35–58.
13. O’Reilly T, Strauss I, Mazzucato M. Algorithmic Attention Rents: A Theory of Digital Platform Market Power // Data & Policy. 2024. No. 6. pp. e6-1-e6-25. DOI: 10.1017/dap.2024.1.
14. Lee Y., Han C. Partitioned Pricing in Advertising: Effects on Brand and Retailer Attitudes // Marketing Letters. 2002. Vol. 13. No. 1. Pp. 27–40.
15. Ahmetoglu G., Furnham A., Fagan P. Pricing Practices: a Critical Review of Their Effects on Consumer Perceptions and Behaviour // Journal of Retailing and Consumer Services. 2014. Vol. 21. No. 5. Pp. 686–707.
16. Ayres I., Nalebuff B. In Praise of Honest Pricing // MIT Sloan Management Review. 2003. Vol. 45. No. 1. Pp. 23–28.
17. Baye M.R., Morgan J. Search Costs, Hassle Costs, and Drip Pricing: Equilibria with Rational Consumers and Firms. University of California, Berkeley. March 2019.
18. Rhodes A. A Survey on Drip Pricing and Other False Advertising. Working paper N1434. May 2023. Toulouse School of Economics.
19. Gabaix X., Laibson D. Shrouded Attributes, Consumer Myopia, and Information Suppression in Competitive Markets // Quarterly Journal of Economics. 2006. Vol. 121. 2. Pp. 505–540.
20. Ellison G., Wolitzky A. A Search Cost Model of Obfuscation // The RAND Journal of Economics. 2012. Vol. 43. Pp. 417–441.
21. Hagiu A., Jullien B. Why do Intermediaries Divert Search? // The RAND Journal of Economics. 2011. Vol. 42. No. 2. Pp. 337–362.
22. White A. Search Engines: Left Side Quality Versus Right Side Profits // International Journal of Industrial Organization. 2013. Vol. 31. No. 6. Pp. 690–701.
23. Spiegler R. Competition over Agents with Boundedly Rational Expectations // Theoretical Economics. 2006. Vol. 1. Pp. 207–231.
24. Gabaix X., Laibson D. Shrouded Attributes, Consumer Myopia and Information Suppression in Competitive Markets // NBER Working Paper 11755. November 2005.
25. Greenleaf E., Johson E., Morwitz V., Shalev E. The price does not Include Additional Taxes, Fees, and Surcharges: A Review of Research on Partitioned Pricing // Journal of Consumer Psychology. 2016. Vol. 26. No. 1. Pp. 105–124.
26. Koulayev S. Search for Differentiated Products: Identification and Estimation // The RAND Journal of Economics. 2014. Vol. 45. No. 3. Pp. 553–575.
27. McDonald S., Wren C. Multiple Price Posting and Consumer Search Obfuscation: Evidence from an Online Market // Working paper. Conference Name: 40th EARIE Annual Conference. 2013. Pp. 1–25.
28. Armstrong M., Vickers J., Zhou J. Prominence and Consumer Search // The RAND Journal of Economics. 2009. Vol. 40. No. 2. Pp. 209–234.
29. Song H. Orders Search with Asymmetric Product Design // Journal of Economics. 2017. Vol. 121. Pp. 105–132.
30. Carlin B. Strategic Price Complexity in Retail Financial Markets // Journal of Financial Economics. 2009. Vol. 91. No. 3. Pp. 278–287.
31. Chioveanu I., Zhou J. Price Competition with Consumer Confusion // Management Science. 2013. Vol. 59. No. 11. Pp. 2450–2469.
32. Schofield A. Personalized Pricing in the Digital Era // Competition Law Journal. 2019. Vol. 18. No. 1. Pp. 35–44.
33. Bourreau M., Streel A. The Regulation of Personalised Pricing in the Digital Era // SSRN Electronic Journal. 2018. No. 150. DOI:10.2139/ssrn.3312158.
34. Gu Y., Wenzel T. Strategic Obfuscation and Consumer Protection Policy // Journal of Industrial Economics. 2014. Vol. 62. No. 4. Pp. 632–660.
35. Fainmesser I., Galeotti A. Pricing Network Effects // American Economic Journal: Microeconomics. 2020. Vol. 12. No. 3. Pp. 1–32.
36. Mayzlin D., Dover Y., Chevalier J. Promotional Reviews: An Empirical Investigation of Online Review Manipulation // The American Economic Review. 2014. Vol. 104. No. 8. Pp. 2421–2455.
37. Luca M., Zervas G. Fake it Till You Make it: Reputation, Competition, and Yelp Review Fraud // Management Science. 2016. Vol. 62. No. 12. Pp. 3412–3427.
38. Gu Y., Wenzel T. Consumer Confusion, Obfuscation, and Price Regulation // Scottish Journal of Political Economy. 2017. Vol. 64. No. 2. Pp. 169–190.
39. Chioveanu I., Zhou J. Price Competition with Consumer Confusion // Management Science. 2013. Vol. 59. No. 11. Pp. 2450–2469.
40. Heidhues P., Johnen J., Koszegi B. Browsing Versus Studying: a Pro-Market Case for Regulation // The Review of Economic Studies. 2021. Vol. 88. No. 2. Pp. 708–729.
41. De Los Santos B. Consumer Search on the Internet // International Journal of Industrial Organization. 2018. Vol. 58. Pp. 66–105.
42. Seller S. The Impact of Search Costs on Consumer Behavior. A Dynamic Approach // Quantitative Marketing and Economics. 2013. Vol. 11. No. 2. Pp. 155–203.
43. Hamalainen S. Multiproduct Search Obfuscation // International Journal of Industrial Organization. 2022. Vol. 85(C). No. 102863. DOI: 10.1016/j.ijindorg.2022.102863.
44. Fehr E., Wu K. Obfuscation in Competitive Markets // Working Paper No. 391. 2021. University of Zurich, Department of Economics.
45. Kalayci K., Potters J. Buyer Confusion and Market Prices // International Journal of Industrial Organization. 2011. Vol. 29. Pp. 14–22.
46. Heim S. Rockets and Feathers: Asymmetric Pricing and Consumer Search – Evidence from Electricity Retailing // ZEW – Centre for European Economic Research. Discussion Paper No. 16–070. 2019. Zentrum für Europäische Wirtschaftsforschung (ZEW). Mannheim.
47. Carlin B. Strategic Price complexity in Retail Financial Markets // Journal of Financial Economics. 2009. Vol. 91. Pp. 278–287.
48. Armstrong M. Economic Models of Consumer Protection Policies. In The Pros and Cons of Consumer Protection. Swedish Competition Authority. 2012. Pp. 123–147.
49. Armstrong M., Vichers J., Zhou J. Consumer Protection and the Incentive to Become Informed // Journal of the European Economic Association. 2009. Vol. 7. No. 2–3. 399–410.

Manuscript submission date: 14.05.2024

For citation:

Rozanova N.M. Contemporary consumer in the nets of digital economy // Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk. 2024. № 3. Pp. 26-46. (In Russ.). https://doi.org/10.52180/2073-6487_2024_3_26_46 EDN: CEHRSU

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