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Linking Artificial Intelligence Use to Improved Decision-Making, Individual and Organizational Outcomes

Author

Listed:
  • Naeem Alasmri
  • Sarah Basahel

Abstract

Artificial Intelligence (AI) plays a significant role at the organizational and operational levels. Managers of companies started to employ AI in decision-making to achieve their operational goals. However, not all managers have the same adaptability to this new technology. Therefore, the present study investigates the impact of utilizing AI on the decision-making process. It also aimed to examine the impact of improved decision-making on three dependent variables- Organizational Performance (OP), Individual Productivity (IP), and Organizational Culture (OC). Statistical Package for Social Sciences (SPSS) software was used to analyze the obtained data and test the hypotheses. The sample of this study included 133 participants working in Saudi organizations, selected from different levels of management (i.e., top managers, middle managers, first line managers, and non-managerial employees). The results of the study showed that AI plays a significant role in the process of decision-making. The results also revealed a positive direct relationship between improved decision-making and organizational performance, individual productivity, and organizational culture. Based on the results of this study, some implications and recommendations were provided concerning the relationship under investigation.

Suggested Citation

  • Naeem Alasmri & Sarah Basahel, 2022. "Linking Artificial Intelligence Use to Improved Decision-Making, Individual and Organizational Outcomes," International Business Research, Canadian Center of Science and Education, vol. 15(10), pages 1-1, October.
  • Handle: RePEc:ibn:ibrjnl:v:15:y:2022:i:10:p:1
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    References listed on IDEAS

    as
    1. Sabrina Schneider & Michael Leyer, 2019. "Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 223-231, April.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
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    Cited by:

    1. Sidor Vanesa-Luisa & Cuc Lavinia-Denisia & Rad Dana & Cilan Teodor-Florin & Croitoru Gabriel, 2025. "Analysis of the Use and Impact of Artificial Intelligence on Managerial Decisions and Organizational Processes," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 3896-3909.

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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