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Business intelligence and firm performance: a moderated-mediated model

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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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