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Beyond Traditional Methods: Harnessing AI for Employee Engagement in Karachi's Multinationals
Authors:
Bakhtawar Khuwaja, Dr Naveeda Katper,Syeda Dania Azhar,Paras Hasnain Chanar, Dr. Samiuddin ShaikhKeywords
Artificial intelligence, employee work engagement, multinational companies, Karachi, Pakistan, ,Abstract
Purpose: The objective behind this study was to explore the relationship of AI with employee work engagement and check its implication on the organizational management of multinational companies in Karachi, Pakistan.
Design: It is a descriptive cross-sectional research design. The sample comprises 400 top & middle level executives of various multinational companies located in Karachi. Data are collected through a close ended questionnaire survey using 5-Point Likert Type Scale and processed using Structure Equation Modeling (SEM) with the help of Smart PLS.
Findings: The findings of this research revealed the current state of AI adoption in large multinational organizations and the impact this maturing technology is having on employee work engagement. This study has shown if there are any significant relationships between AI and employee work engagement to lend further powerful insights to organizational management on how to best integrate AI in the workplace.
Novelty: This research provided valuable insights by adding to the limited literature on the impact of AI on employee work engagement, particularly in the context of multinational companies in Karachi. It also flagged an area of research that is largely ignored, the use of AI in developing countries which should be an inspiration for future research.