IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3568-d773947.html
   My bibliography  Save this article

The Impact of Artificial Intelligence on Sustainable Development in Electronic Markets

Author

Listed:
  • Hanane Thamik

    (Department of Electronic Commerce, School of Information Management, Wuhan University, Wuhan 430072, China)

  • Jiang Wu

    (Department of Electronic Commerce, School of Information Management, Wuhan University, Wuhan 430072, China)

Abstract

With the emergence of artificial intelligence (AI), the technological revolution has transformed human lives and processes, empowering the products and services in today’s marketplaces. AI introduces new ways of doing jobs and business, and of exploring new global market opportunities. However, on the other hand, it provides many challenges to comprehend. Therefore, our study’s main objective was to examine the behavioral, cultural, ethical, social, and economic challenges of AI-enabled products and services in consumer markets and discuss how businesses might shape their approaches to address AI-related ethical issues. AI offers numerous social, ethical, and behavioral difficulties for people, organizations, and societies that endanger the sustainable development of economies. These fundamental challenges due to AI technologies have raised serious questions for the sustainable development of electronic markets. Based on this, the current study presents a framework highlighting these issues. Systematic reviewing was our research method; we looked for explicit information and methods that indicate the credibility of research or reduce biases. This paper is of great importance, as it highlights several behavioral, societal, ethical, and cultural aspects in electronic markets which were not presented in previous studies. Some key issues are the security and privacy of consumers, AI biases, individual autonomy, wellbeing, and issues of unemployment. Therefore, companies that use AI systems need to be socially responsible and make AI systems as secure as possible to promote the sustainable development of countries. The results suggest that AI has undoubtedly transformed life and has both positive and negative effects. However, the main aim regarding AI should be to use it for the overall goals of humanity. Moreover, authorities operating in e-business environments need to create proper rules and regulations and make the systems as secure as possible for people.

Suggested Citation

  • Hanane Thamik & Jiang Wu, 2022. "The Impact of Artificial Intelligence on Sustainable Development in Electronic Markets," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3568-:d:773947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3568/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/6/3568/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karen Clay & Ramayya Krishnan & Eric Wolff & Danny Fernandes, 2002. "Retail Strategies on the Web: Price and Non–price Competition in the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 351-367, September.
    2. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    3. Lee, In Ho & Mason, Robin, 2001. "Market structure in congestible markets," European Economic Review, Elsevier, vol. 45(4-6), pages 809-818, May.
    4. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. Baccarella, Christian V. & Wagner, Timm F. & Kietzmann, Jan H. & McCarthy, Ian P., 2018. "Social media? It's serious! Understanding the dark side of social media," European Management Journal, Elsevier, vol. 36(4), pages 431-438.
    6. Michael R. Baye & John Morgan & Patrick Scholten, 2006. "Information, Search, and Price Dispersion," Working Papers 2006-11, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    7. Quentin André & Ziv Carmon & Klaus Wertenbroch & Alia Crum & Douglas Frank & William Goldstein & Joel Huber & Leaf Boven & Bernd Weber & Haiyang Yang, 2018. "Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 28-37, March.
    8. Keller, Kevin Lane & Staelin, Richard, 1987. "Effects of Quality and Quantity of Information on Decision Effectiveness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(2), pages 200-213, September.
    9. Carlo Piccardi & Lucia Tajoli, 2018. "Complexity, centralization, and fragility in economic networks," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    10. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    11. Russell L. Ackoff, 1967. "Management Misinformation Systems," Management Science, INFORMS, vol. 14(4), pages 147-156, December.
    12. Tom Mitchell & Erik Brynjolfsson, 2017. "Track how technology is transforming work," Nature, Nature, vol. 544(7650), pages 290-292, April.
    13. repec:bla:jindec:v:49:y:2001:i:4:p:541-58 is not listed on IDEAS
    14. G. Anandalingam & Robert W. Day & S. Raghavan, 2005. "The Landscape of Electronic Market Design," Management Science, INFORMS, vol. 51(3), pages 316-327, March.
    15. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    16. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    17. Laurence Ashworth & Clinton Free, 2006. "Marketing Dataveillance and Digital Privacy: Using Theories of Justice to Understand Consumers’ Online Privacy Concerns," Journal of Business Ethics, Springer, vol. 67(2), pages 107-123, August.
    18. Volodymyr Mnih & Koray Kavukcuoglu & David Silver & Andrei A. Rusu & Joel Veness & Marc G. Bellemare & Alex Graves & Martin Riedmiller & Andreas K. Fidjeland & Georg Ostrovski & Stig Petersen & Charle, 2015. "Human-level control through deep reinforcement learning," Nature, Nature, vol. 518(7540), pages 529-533, February.
    19. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mir Sayed Shah Danish, 2023. "AI and Expert Insights for Sustainable Energy Future," Energies, MDPI, vol. 16(8), pages 1-27, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fedoseeva, Svetlana & Herrmann, Roland & Nickolaus, Katharina, 2017. "Was the economics of information approach wrong all the way? Evidence from German grocery r(E)tailing," Journal of Business Research, Elsevier, vol. 80(C), pages 63-72.
    2. Alan L. Montgomery & Kartik Hosanagar & Ramayya Krishnan & Karen B. Clay, 2004. "Designing a Better Shopbot," Management Science, INFORMS, vol. 50(2), pages 189-206, February.
    3. Eric Overby & Chris Forman, 2011. "The Effect of Electronic Commerce on Geographic Trade and Price Variance in a Business-to-Business Market," Working Papers 11-30, NET Institute.
    4. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    5. Anindya Ghose & Yuliang Yao, 2011. "Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets," Information Systems Research, INFORMS, vol. 22(2), pages 269-288, June.
    6. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    7. Sengupta Anirban & Wiggins Steven N., 2012. "Comparing Price Dispersion on and off the Internet Using Airline Transaction Data," Review of Network Economics, De Gruyter, vol. 11(1), pages 1-38, March.
    8. Ting Li & Robert J. Kauffman & Eric van Heck & Peter Vervest & Benedict G. C. Dellaert, 2014. "Consumer Informedness and Firm Information Strategy," Information Systems Research, INFORMS, vol. 25(2), pages 345-363, June.
    9. Jacek Wójcik, 2017. "Consequences of the Cognitive Digital Divide on the Consumer Market," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 44, pages 69-80.
    10. Ya-Ling Chiu & Jiangze Du & Jying-Nan Wang, 2022. "The Effects of Price Dispersion on Sales in the Automobile Industry: A Dynamic Panel Analysis," SAGE Open, , vol. 12(3), pages 21582440221, August.
    11. Fedoseeva, Svetlana & Grein, Theresa & Herrmann, Roland, 2017. "How German Online Retailers Price Foods: An Empirical Analysis for Chocolate Products," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(1), pages 1-13, January.
    12. Delphine Irac & Claire Célérier & Philippe Askenazy, 2010. "Vente à distance, internet et dynamiques des prix," Économie et Prévision, Programme National Persée, vol. 194(3), pages 1-13.
    13. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    14. Chen, Xiaogang & Ma, Jing & Jin, Jiafei & Fosh, Patricia, 2013. "Information privacy, gender differences, and intrinsic motivation in the workplace," International Journal of Information Management, Elsevier, vol. 33(6), pages 917-926.
    15. Stühmeier Torben, 2015. "Price Disclosure Rules and Consumer Price Comparison," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(2), pages 815-835, April.
    16. Haris Krijestorac & Rajiv Garg & Prabhudev Konana, 2021. "Decisions Under the Illusion of Objectivity: Digital Embeddedness and B2B Purchasing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2232-2251, July.
    17. Anirban Sengupta & Steven Wiggins, 2006. "Airline Pricing, Price Dispersion and Ticket Characteristics On and Off the Internet," Working Papers 06-07, NET Institute, revised Oct 2006.
    18. Nestor Duch-Brown & Bertin Martens, 2014. "Consumer benefits from the EU Digital Single Market: evidence from household appliances markets," JRC Working Papers on Digital Economy 2014-03, Joint Research Centre (Seville site).
    19. Haynes, Michelle & Thompson, Steve, 2008. "Price, price dispersion and number of sellers at a low entry cost shopbot," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 459-472, March.
    20. Peter Gordon Roetzel, 2019. "Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework developmen," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 479-522, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3568-:d:773947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.