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Consumers’ Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study

Author

Listed:
  • Pinar Aytekin

    (Izmir Democracy University, Turkey)

  • Florina Oana Virlanuta

    (Dunarea de Jos University of Galati, Romania)

  • Huseyin Guven

    (Karabaglar Guidance and Research Center, Turkey)

  • Silvius Stanciu

    (Dunarea de Jos University of Galati, Romania)

  • Ipek Bolakca

    (Izmir Democracy University, Turkey)

Abstract

In today’s digitalizing world, internet, mobile technologies, nanotechnologies and learning algorithms continue to develop and gain essential places in our lives. The use of artificial intelligence in wholesale and retail trade enable better analysis of customer requests and the development of effective marketing strategies. However, although these cutting-edge technologies provide significant advantages to businesses, some risks may arise as these technologies continuously develop, and it eventually becomes harder to control the pace of development. Many famous scientists and entrepreneurs are worried that artificial intelligence could have negative consequences for humanity if it does not develop safely, and they suggest that urgent measures need to be taken as they believe that it may pose a significant threat to humanity. The starting point of this study is to learn the point of view of consumers on this technology, as well as scientists or entrepreneurs. The purpose of this study is to determine how consumers perceive these risks. In this direction, the literature focused on the issues related to artificial intelligence technologies in trade was examined. In light of the information obtained from the literature, the Artificial Intelligence Technologies Used in Trade Risk Perception Scale (AITUTRPS) was developed.

Suggested Citation

  • Pinar Aytekin & Florina Oana Virlanuta & Huseyin Guven & Silvius Stanciu & Ipek Bolakca, 2021. "Consumers’ Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-65, February.
    • Handle: RePEc:aes:amfeco:v:23:y:2021:i:56:p:65
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    Cited by:

    1. GURAN Elena-Andreea & PĂPULETE Eduard-Nicușor, 2023. "The Impact Of Digitization In Ensuring Sustainable Economic Growth At The National Level," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 75(2), pages 78-86, June.
    2. Andreja Mihailović & Julija Cerović Smolović & Ivan Radević & Neli Rašović & Nikola Martinović, 2021. "COVID-19 and Beyond: Employee Perceptions of the Efficiency of Teleworking and Its Cybersecurity Implications," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    3. Romeo Victor Ionescu & Monica Laura Zlati & Valentin Marian Antohi & Florina Oana Virlanuta & Silvius Stanciu, 2022. "Quantifying the Digitalisation Impact on the EU Economy. Case Study: Germany and Sweden vs. Romania and Greece," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(59), pages 1-61.
    4. Ana Maria Mihaela Iordache & Alexandru Ionescu & Vlad Gabriel Cârstea & Hanna Chung & Nicoleta Rossela Dumitru & Bogdan Glăvan, 2023. "Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania," Sustainability, MDPI, vol. 15(15), pages 1-19, August.

    More about this item

    Keywords

    artificial intelligence; trade technique; risk perception; scale development;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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