IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v23y2021i56p33.html
   My bibliography  Save this article

The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills

Author

Listed:
  • Corina Pelau

    (Bucharest University of Economic Studies, Romania)

  • Irina Ene

    (Bucharest University of Economic Studies, Romania)

  • Mihai-Ionut Pop

    (Bucharest University of Economic Studies, Romania)

Abstract

The development of artificial intelligence is one of the main paradigms of the contemporary society, which will radically change the existence of individuals and our society and it will have important effects on the economy. The use of artificial intelligence in the daily work of individuals and in the relationship between companies and consumers has a great number of advantages such as the increased efficiency, a high degree of fascination in interaction, but in the same time there are several fears related to its development in the future. Due to its great data storage capacity about the behavior of individuals and the processing speed of this data, there is a risk that the forms of artificial intelligence will become smarter than humans and thus intervene in the decisions made by them. Through the constant use of artificial intelligence, there is a high risk of manipulation of consumers as well as a high degree of dependence on intelligent technologies. This close relationship between the user and artificial intelligence can reduce an individual’s cognitive abilities and can affect their thinking, personality and relationships with its social circle. This paper presents a mediation model between the efficiency and fascination with artificial intelligence and the consumers’ perception of preserving their self-identity and human skills, having as mediator the influence and model of the social circle. The research results show that a higher degree of efficiency and fascination, as well as a positive influence from the social circle decrease the consumers’ perception of reduction of human skills in relation to artificial intelligence. Moreover, the social circle mediates the relationship between efficiency and fascination produced by artificial intelligence and the perception of preserving human abilities.

Suggested Citation

  • Corina Pelau & Irina Ene & Mihai-Ionut Pop, 2021. "The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-33, February.
    • Handle: RePEc:aes:amfeco:v:23:y:2021:i:56:p:33
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_2977.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    2. Pelau, Corina & Ene, Irina, 2018. "Consumers’ perception on human-like artificial intelligence devices," MPRA Paper 94617, University Library of Munich, Germany.
    3. Hengstler, Monika & Enkel, Ellen & Duelli, Selina, 2016. "Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 105-120.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    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. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Julio César Acosta-Prado & Carlos Guillermo Hernández-Cenzano & Carlos David Villalta-Herrera & Eloy Wilfredo Barahona-Silva, 2024. "Three Horizons of Technical Skills in Artificial Intelligence for the Sustainability of Insurance Companies," Administrative Sciences, MDPI, vol. 14(9), pages 1-18, August.
    3. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
    4. Muhammad Waqas Farooq & Dr. Khawaja Hisham Ul Hassan & Faiza Nawaz, 2024. "Integrating Qualitative and Quantitative Approaches: The Impact of AI Design on Consumer Perception and Buying Behavior in the FMCG Sector," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 775-786.
    5. Andreea Simona Saseanu & Rodica-Manuela Gogonea & Simona Ioana Ghita, 2024. "The Social Impact of Using Artificial Intelligence in Education," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 1-89, February.
    6. Ruitao Li & Chuanxian Li & Shijun Guo, 2024. "The Impact of Artificial Intelligence on Labor Market: Evidence from China," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 867-867, August.
    7. Chenyu Gu & Yu Zhang & Linhao Zeng, 2024. "Exploring the mechanism of sustained consumer trust in AI chatbots after service failures: a perspective based on attribution and CASA theories," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    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. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Anton Klarin & Hossein Ali Abadi & Rifat Sharmelly, 2024. "Professionalism in artificial intelligence: The link between technology and ethics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 41(4), pages 557-580, July.
    3. Uzir, Md Uzir Hossain & Al Halbusi, Hussam & Lim, Rodney & Jerin, Ishraq & Abdul Hamid, Abu Bakar & Ramayah, Thurasamy & Haque, Ahasanul, 2021. "Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19," Technology in Society, Elsevier, vol. 67(C).
    4. Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee & Claire Jacquillat & Joseph F. Coughlin, 2019. "The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 358-374, February.
    5. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    7. Waymond Rodgers & Tam Nguyen, 2022. "Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways," Journal of Business Ethics, Springer, vol. 178(4), pages 1043-1061, July.
    8. Benjamin T. Hazen & Robert E. Overstreet & Yacan Wang, 2015. "Predicting Public Bicycle Adoption Using the Technology Acceptance Model," Sustainability, MDPI, vol. 7(11), pages 1-16, October.
    9. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    10. Pankaj Tiwari, 2021. "Electronic banking adoption in Ethiopia: an empirical investigation," SN Business & Economics, Springer, vol. 1(9), pages 1-28, September.
    11. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    12. Syed Sardar Muhammad & Bidit Lal Dey & Vishanth Weerakkody, 2018. "Analysis of Factors that Influence Customers’ Willingness to Leave Big Data Digital Footprints on Social Media: A Systematic Review of Literature," Information Systems Frontiers, Springer, vol. 20(3), pages 559-576, June.
    13. Ukrit Suksanguan & Somsak Siwadamrongpong & Thanapong Champahom & Sajjakaj Jomnonkwao & Tassana Boonyoo & Vatanavongs Ratanavaraha, 2022. "Structural Equation Model of Factors Influencing the Selection of Industrial Waste Disposal Service in Cement Kilns," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    14. Kristin Jürkenbeck & Andreas Heumann & Achim Spiller, 2019. "Sustainability Matters: Consumer Acceptance of Different Vertical Farming Systems," Sustainability, MDPI, vol. 11(15), pages 1-21, July.
    15. Babak Naysary & Ruth Tacneng & Amine Tarazi, 2021. "Adoption of fintech services: role of saving and borrowing mechanisms," Working Papers hal-03335254, HAL.
    16. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    17. Awni Rawashdeh, 2013. "Study Toward The Understanding Of Behavioral Intention To Use A Customer Relationship Management (Crm) Systems," Far East Journal of Psychology and Business, Far East Research Centre, vol. 12(1), pages 1-11, September.
    18. Muhammad Ashraf & Mohammad Asif Khan & Noor Ismawati Jaafar & Ainin Sulaiman, 2015. "The impact of Involvement in CRM Initiative on Inter-functional Integration and Organizational Performance: Evidence from Pakistani Enterprises," Information Management and Business Review, AMH International, vol. 7(1), pages 29-40.
    19. Nourallah, Mustafa, 2023. "One size does not fit all: Young retail investors’ initial trust in financial robo-advisors," Journal of Business Research, Elsevier, vol. 156(C).
    20. Liqian Gao & Ziyang Liu, 2023. "Research on the Sustainable Development Strategy of Online Learning: A Case Study of YouTube Users," Sustainability, MDPI, vol. 15(11), pages 1-14, May.

    More about this item

    Keywords

    artificial intelligence; robots; consumers; social circle; consumers’ self-identity; human abilities;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    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:aes:amfeco:v:23:y:2021:i:56:p:33. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.