IDEAS home Printed from https://ideas.repec.org/a/bla/ajecsc/v83y2024i3p567-607.html
   My bibliography  Save this article

Are skepticism and moderation dominating attitudes toward AI‐based technologies?

Author

Listed:
  • Simona‐Vasilica Oprea
  • Ionut Nica
  • Adela Bâra
  • Irina‐Alexandra Georgescu

Abstract

AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain–Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI‐powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate public attitudes toward these transformative technologies. Our findings reveal three distinct clusters of public opinion reflecting varying optimism and concern toward AI technologies. Cluster 1 (1574 participants) held a positive view with high excitement while Cluster 2 (1334 participants) showed a balanced stance. Cluster 3 (2199 participants) expressed heightened concern despite some excitement. Notably, regional disparities, particularly between urban and rural participants, emerge as a prominent factor influencing these attitudes (ANOVA, F = 15.2, p

Suggested Citation

  • Simona‐Vasilica Oprea & Ionut Nica & Adela Bâra & Irina‐Alexandra Georgescu, 2024. "Are skepticism and moderation dominating attitudes toward AI‐based technologies?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(3), pages 567-607, May.
    • Handle: RePEc:bla:ajecsc:v:83:y:2024:i:3:p:567-607
    DOI: 10.1111/ajes.12565
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ajes.12565
    Download Restriction: no
    File URL: https://libkey.io/10.1111/ajes.12565?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    Full references (including those not matched with items on IDEAS)

    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. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Ying, Ying & Wang, Shixiang & Liu, Yang, 2022. "Make bricks without straw: Eco-innovation for resource-constrained firms in emerging markets," Technovation, Elsevier, vol. 114(C).
    3. Jung-Chieh Lee & Yuyin Tang & SiQi Jiang, 2023. "Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    4. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    5. Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).
    6. David Mortimore, 2024. "Moving beyond human-centric organizational designs," Journal of Organization Design, Springer;Organizational Design Community, vol. 13(2), pages 65-75, June.
    7. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    8. Hao Dong & Yang Zhang & Tianqing Chen, 2023. "A Study on Farmers’ Participation in Environmental Protection in the Context of Rural Revitalization: The Moderating Role of Policy Environment," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    9. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).
    10. Dicuonzo, Grazia & Donofrio, Francesca & Fusco, Antonio & Shini, Matilda, 2023. "Healthcare system: Moving forward with artificial intelligence," Technovation, Elsevier, vol. 120(C).
    11. Jameel, Alaa S. & Harjan, Sinan Abdullah & Ahmad, Abd Rahman, 2023. "Behavioral Intentions to use Artificial Intelligence Among Managers in Small and Medium Enterprises," OSF Preprints w69yh, Center for Open Science.
    12. Won, Jongho & Lee, Daeho & Lee, Junmin, 2023. "Understanding experiences of food-delivery-platform workers under algorithmic management using topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    13. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
    14. Philippe Funk, 2022. "Artificial Intelligence And Cybersecurity Implications For Business Management," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 16(1), pages 252-261.
    15. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    16. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    17. Justy, Théo & Pellegrin-Boucher, Estelle & Lescop, Denis & Granata, Julien & Gupta, Shivam, 2023. "On the edge of Big Data: Drivers and barriers to data analytics adoption in SMEs," Technovation, Elsevier, vol. 127(C).
    18. Hack-Polay, Dieu & Mahmoud, Ali B. & Ikafa, Irene & Rahman, Mahfuzur & Kordowicz, Maria & Verde, Juan Manuel, 2023. "Steering resilience in nursing practice: Examining the impact of digital innovations and enhanced emotional training on nurse competencies," Technovation, Elsevier, vol. 120(C).
    19. Chakraborty, Debarun & Polisetty, Aruna & G, Sowmya & Rana, Nripendra P. & Khorana, Sangeeta, 2024. "Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    20. Opazo-Basáez, Marco & Monroy-Osorio, Juan Carlos & Marić, Josip, 2024. "Evaluating the effect of green technological innovations on organizational and environmental performance: A treble innovation approach," Technovation, Elsevier, vol. 129(C).

    More about this item

    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:bla:ajecsc:v:83:y:2024:i:3:p:567-607. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0002-9246 .

    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.