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RESEARCH @ IIMV
associated with enterprise metaverse implementation. The results also
reveal that the success or failure of an enterprise metaverse largely
depends on how it is implemented. In addition, potential and realised
absorptive capacity are identified as significant moderators. This
study provides a deeper understanding of organisational behavioural
intentions towards the enterprise metaverse using the underpinnings
of institutional theory.
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AI in the Organizational Nexus: Building Trust, Cementing
Commitment, and Evolving Psychological Contracts
Amit Shankar, Muhammad farrrukh ,Abhishek Behl,
Justin Zhang
Information system and frontier (ABDC-A)
Since the Industrial Revolution, significant technological advancements
have revolutionized various manual processes and workflows
entrenched for decades. Artificial Intelligence (AI) offers similar
transformative potential across diverse industrial and social domains.
The rapid pace of change in the AI-driven digital age presents
unprecedented opportunities and challenges for sustained progress.
Given the potentially profound impact of AI, this study seeks to explore
its disruptive effects and challenges within organizational contexts.
Drawing on the Social Exchange Theory, this research examines the
relationship between psychological contract (PC) fulfillment and
organizational commitment, with trust acting as a mediator and AI
acceptance as a moderator. Data were collected from the service
industry using a time-lagged design. The findings indicate that PC
fulfillment positively influences workers’ trust and organizational
commitment. Furthermore, AI acceptance attenuates the direct and
indirect positive effects of PC fulfillment on job-related outcomes.
This study offers valuable insights into building and maintaining trust
and fostering a committed workforce amidst the digitalization era.
It underscores the importance of fulfilling promissory expectations
in fostering trust and commitment. Additionally, it sheds light on the
disruptive effects of AI technology on critical job outcomes, emphasizing
the societal and industrial implications, the future of work, and avenues
for further advancements in AI technology
Click here to read the paper.
16 VOL.6/ ISSUE 1, SEP-DEC 2024