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Business intelligence and firm performance: a moderated-mediated model

Author

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  • Amineh A. Khaddam
  • Amro Alzghoul
  • Mohammed A. Abusweilem
  • Fayrouz Abousweilem

Abstract

This study examines the mediating role of decision-making speed on the causal chain linking business intelligence and firm performance, as well as the contextual role of people-BI tools fit on the causal link between business intelligence and decision-making speed. To achieve this goal, we examine the proposed moderated-mediated model using a random sample of 236 valid responses in various Jordanian industries. These data were analyzed using a partial least squares structural equation modeling technique. According to the findings, business intelligence facilitates and enhances greater decision-making speed; decision-making speed fosters higher firm performance; and decision-making speed mediates the causal relationship between business intelligence and firm performance. Finally, people-BI tools fit attenuated the causal relationship between business intelligence and decision-making speed, in that the relationship became weaker when people-BI tools fit is higher. Results are discussed in terms of the relevant literature and practical implications for managers in the industry.

Suggested Citation

  • Amineh A. Khaddam & Amro Alzghoul & Mohammed A. Abusweilem & Fayrouz Abousweilem, 2023. "Business intelligence and firm performance: a moderated-mediated model," The Service Industries Journal, Taylor & Francis Journals, vol. 43(13-14), pages 923-939, October.
    • Handle: RePEc:taf:servic:v:43:y:2023:i:13-14:p:923-939
    DOI: 10.1080/02642069.2021.1969367
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    Cited by:

    1. Ashraf H. Salah & Amro Alzghoul, 2024. "Assessing the Moderating Role of Customer Orientation on the Impact of Business Intelligence Tools on Digital Marketing Strategy Optimization," International Review of Management and Marketing, Econjournals, vol. 14(3), pages 18-25, May.

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