A Review Of The Impact Of Artificial Intelligence Adoption On Employee Engagement In The Pharmaceutical Sector Of Khyber Pakhtunkhwa

Authors

  • Dr. Sudhair Abbas Bangash Faculty of management sciences, Department of Business Administration, Sarhad University of Science and Information Technology, Peshawar.
  • Dr. Moeen Ul Haq Institute of Management Studies University of Peshawar
  • Dr. Wasif Anis Deputy Director Audit, Women University Swabi
  • Dr Syed Gohar Abbas Faculty of Management Sciences, Department of Business Administration, Sarhad University of Science and Information Technology, Peshawar
  • Dr. Shahid Iqbal* CDPM/IER/DAS Assistant University of Peshawar

Abstract

Industries are rapidly being transformed by the advent of Artificial Intelligence (AI) and the pharmaceutical industry is no exception. The review discusses the changes in employee engagement with the introduction of AI, in the pharmaceutical industry of Khyber Pakhtunkhwa (KP) in Pakistan. The paper reviews the literature and theories such as the Job Demands Resources (JD R) model and Technology Acceptance Model (TAM) to explain the benefits and challenges of the integration of AI. The review also brings to the surface the moderating effect of technological self-efficacy and mediating role of organisational support. Suggestions for ethical and employee friendly AI implementation are also presented.

Keywords: Pharmaceutical Industry, Khyber Pakhtunkhwa, Artificial Intelligence (AI), Employee Engagement, The acceptance Model (TAM), Job Demands Resources (JD R) Model, Organizational Support, Technological SelfEfficacy, Digital Transformation, Human AI Interaction.

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Published

2026-05-04

How to Cite

Dr. Sudhair Abbas Bangash, Dr. Moeen Ul Haq, Dr. Wasif Anis, Dr Syed Gohar Abbas, & Dr. Shahid Iqbal*. (2026). A Review Of The Impact Of Artificial Intelligence Adoption On Employee Engagement In The Pharmaceutical Sector Of Khyber Pakhtunkhwa. Journal of Management Science Research Review, 5(2), 839–854. Retrieved from https://www.jmsrr.com/index.php/Journal/article/view/562

Issue

Vol. 5 No. 2 (2026): Journal of Management Science Research Review

Section

Articles