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Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

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  • Tatjana Vasiljeva

    (Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia)

  • Ilmars Kreituss

    (Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia)

  • Ilze Lulle

    (Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia)

Abstract

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

Suggested Citation

  • Tatjana Vasiljeva & Ilmars Kreituss & Ilze Lulle, 2021. "Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries," JRFM, MDPI, vol. 14(8), pages 1-17, July.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:8:p:339-:d:598239
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. George Amoako & Paul Omari & Desmond K. Kumi & George Cudjoe Agbemabiase & George Asamoah, 2021. "Conceptual Framework—Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market," JRFM, MDPI, vol. 14(12), pages 1-20, December.
    3. Tassisius Muzivi & Dennis Maravanyika & Ranzi M. Rusikee & Judith Mwenje, 2022. "Factors which Influence the Corporate Culture of an Entity- Analysing the Dynamics of Culture Stability and Inevitable Change," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(4), pages 389-395, April.
    4. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.

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