LEVERAGE AI AND MACHINE LEARNING TO MODEL THE IMPACT OF ETHICAL LEADERSHIP ON FIRM PERFORMANCE

Authors

  • Muhammad Tanveer Ahmad khan Department of Computer Science and IT, Superior University 10 KM Sargodha Rd, Sargodha
  • Ayesha Mumtaz Department of Computer Science and IT, Superior University 10 KM Sargodha Rd, Sargodha
  • Zakariya Faculty of Management Sciences, Superior University Lahore
  • Hafiza Anila Sajid Department of Computer Science, University of Sargodha
  • Uzma Bashir Department of Computer Science, University of Lahore, Sargodha campus

DOI:

https://doi.org/10.63056/sshrr.v3i2.126

Keywords:

Artificial intelligence, Machine Learning, Leadership, Firm, OCB

Abstract

Examining the link between EL and FP is the goal of this study. The study also explores how OCB mediates the link between EL and FP. The research also explores whether OJ moderate the link between EL and FP. In this study a sample of 100 Toyota company respondents are used. The findings of reliability indicate that the Cronbach alpha of the instrument used in this study is 0.93 which shows that the instrument used in this study is reliable. The findings show that EL is positively and significantly related to OCB. In addition, EL and FP has a positive association which is significant. The result further indicates that OCB has a significant positive impact on FP. Moreover, OJ has an insignificant negative impact on FP. Further, the interaction between EL and OJ show that OJ does not moderates the link between EL and FP. Hence, the mediation between EL and FP is justified; concluding that our hypothesis “The link between EL and FP is mediated by OCB” is accepted. A test was conducted and found partial mediation in the model. The link between EL and FP was discovered to be partially mediated by OCB.

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Published

2025-05-15

How to Cite

Muhammad Tanveer Ahmad khan, Ayesha Mumtaz, Zakariya, Hafiza Anila Sajid, & Uzma Bashir. (2025). LEVERAGE AI AND MACHINE LEARNING TO MODEL THE IMPACT OF ETHICAL LEADERSHIP ON FIRM PERFORMANCE. Social Sciences & Humanity Research Review, 3(2). https://doi.org/10.63056/sshrr.v3i2.126

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