Deploying artificial intelligence in services to AID vulnerable consumers
-
Published:2023-11-11
Issue:
Volume:
Page:
-
ISSN:0092-0703
-
Container-title:Journal of the Academy of Marketing Science
-
language:en
-
Short-container-title:J. of the Acad. Mark. Sci.
Author:
Hermann Erik,Williams Gizem Yalcin,Puntoni Stefano
Abstract
AbstractDespite offering substantial opportunities to tailor services to consumers’ wants and needs, artificial intelligence (AI) technologies often come with ethical and operational challenges. One salient instance of such challenges emerges when vulnerable consumers, consumers who temporarily or permanently lack resource access or control, are unknowingly discriminated against, or excluded from the marketplace. By integrating the literature on consumer vulnerability, AI for social good, and the calls for rethinking marketing for a better world, the current work builds a framework on how to leverage AI technologies to detect, better serve, and empower vulnerable consumers. Specifically, our AID framework advocates for designing AI technologies that make services more accessible, optimize customer experiences and journeys interactively, and to dynamically improve consumer decision-making. Adopting a multi-stakeholder perspective, we also discuss the respective implications for researchers, managers, consumers, and public policy makers.
Funder
ESCP EUROPE Wirtschaftshochschule Berlin E.V.
Publisher
Springer Science and Business Media LLC
Subject
Marketing,Economics and Econometrics,Business and International Management
Reference190 articles.
1. Agbavor, F., & Liang, H. (2022). Predicting dementia from spontaneous speech using large language models. PLOS Digit Health, 1(12), e0000168. 2. Anderson, L., Ostrom, A. L., Corus, C., Fisk, R. P., Gallan, A. S., Giraldo, M., Mende, M., Mulder, M., Rayburn, S. W., Rosenbaum, M. S., Shirahada, K., & Williams, J. D. (2013). Transformative service research: An agenda for the future. Journal of Business Research, 66(8), 1203–1210. 3. André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., Huber, J., van Boven, L., Weber, B., & Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1–2), 28–37. 4. Andrew, J., & Baker, M. (2021). The general data protection regulation in the age of surveillance capitalism. Journal of Business Ethics, 168(3), 565–578. 5. Argawal, R., Dugas, M., Gao, G., & Kannan, P. K. (2020). Emerging technologies and analytics for a new era of value-centered marketing in healthcare. Journal of the Academy of Marketing Science, 48(1), 9–23.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|