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Behavioral Intentions to use Artificial Intelligence Among Managers in Small and Medium Enterprises

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  • Jameel, Alaa S.

    (Cihan University-Erbil)

  • Harjan, Sinan Abdullah
  • Ahmad, Abd Rahman

Abstract

The purpose of this study is to examine the measure the Behavioral intentions (BI) to use artificial intelligence (AI) among managers in small and medium enterprises. the targets population of this study was the SMEs managers in Baghdad City after ensuring that the managers were using some form of AI. 184 valid questionnaires have been analyzed by Smart-PLS. The results indicated that performance expectancy (PE), Social influence (SI), Facilitating Conditions (FC), and Top management support (TMS) have a positive and significant impact on behavioral intention to use AI among the managers in SMEs; on the other hand, the effort expectancy (EE) has an insignificant impact on behavioral intention to use AI among the managers.

Suggested Citation

  • 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.
    • Handle: RePEc:osf:osfxxx:w69yh
    DOI: 10.31219/osf.io/w69yh
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    References listed on IDEAS

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    2. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    3. Juan-Pedro Cabrera-Sánchez & Iviane Ramos-de-Luna & Elena Carvajal-Trujillo & Ángel F. Villarejo-Ramos, 2020. "Online Recommendation Systems: Factors Influencing Use in E-Commerce," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    4. 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).
    5. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    6. Grewal, Dhruv & Guha, Abhijit & Satornino, Cinthia B. & Schweiger, Elisa B., 2021. "Artificial intelligence: The light and the darkness," Journal of Business Research, Elsevier, vol. 136(C), pages 229-236.
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