Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications
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- Grzegorz Mazurek & Karolina Małagocka, 2019. "Perception of privacy and data protection in the context of the development of artificial intelligence," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 344-364, October.
- Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
- Ho, Mia Hsiao-Wen & Chung, Henry F.L., 2020. "Customer engagement, customer equity and repurchase intention in mobile apps," Journal of Business Research, Elsevier, vol. 121(C), pages 13-21.
- Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
- Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
- Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
- de Bellis, Emanuel & Venkataramani Johar, Gita, 2020. "Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption," Journal of Retailing, Elsevier, vol. 96(1), pages 74-87.
- Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
- Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
- Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
- Hirschman, Elizabeth C, 1992. "The Consciousness of Addiction: Toward a General Theory of Compulsive Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 155-179, September.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
- Li, Xiong & Zhao, Xiaodong & Xu, Wangtu (Ato) & Pu, Wei, 2020. "Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
- Poushneh, Atieh & Vasquez-Parraga, Arturo Z., 2017. "Discernible impact of augmented reality on retail customer's experience, satisfaction and willingness to buy," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 229-234.
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More about this item
Keywords
artificial intelligence; machine learning algorithms; retail; ethics; privacy; mobile shopping applications;All these keywords.
JEL classification:
- L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
- K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
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