From algorithms to altruism : mapping the human-tech synergy for sustainable workplaces through artificial intelligence (AI), innovative work behavior, leader-member exchange, organizational citizenship behavior and role clarity

Corporate team unity and role clarity are crucial for organizational success and human resources. This study examines how job clarity affects employee performance and innovative work behavior (IWB) via organizational citizenship behavior (OCB). Additionally, to determine how artificial intelligence (AI) information and leader-member exchange (LMX) moderate the relationship between job clarity, IWB, and employee performance. This research focused on Pakistan's Federal Capital Territory (FCT) Islamabad, and Punjab province's IT sectors. The self-administered questionnaire received data from 555 IT professionals. The suggested model was tested using Smart PLS structural equation modeling. Results showed that job clarity and OCB significantly improve IWB and employee performance. Role clarity, IWB, and employee performance are partly mediated by OCB. In addition, LMX adversely moderates the relationship between job clarity and IWB and employee performance, but not AI information. Emphasis is primarily placed on elucidating the respective roles of the employees in order to ensure that they are aware of the expectations placed upon them. Consequently, they are able to demonstrate task performances that are not stipulated in their job descriptions but directly relate to their performance improvement. The current study reveals that human resources (HR) and management should prioritize job clarity and OCB to boost individual performance and IWB.