Impact and change in decision-making and job roles in organisations adopting AI/Automation solutions for the first time

Gopalakrishnan, Karthik (2025) Impact and change in decision-making and job roles in organisations adopting AI/Automation solutions for the first time Doctor of Business Administration thesis, University of Liverpool.

Text 201228334_Sep2025.pdf - Author Accepted Manuscript Access to this file is embargoed until 1 January 2029. Download (8MB)

Abstract

AI and Automation are not new topics; the technologies, systems and processes within this area have been rapidly gaining momentum in the last few years. Research suggests that the interest in AI/Automation peaked in 2005 and then waned. However, post-2015, the interest in AI/Automation has increased significantly. Industries such as manufacturing, and construction embraced automation more than two decades ago to increase quality and productivity. In recent years, better technology solutions related to storage, big data management and data interpretation have led to AI/Automation being applied to decision-making across industries and job roles. Based on research in this thesis, job roles will evolve with the use of both AI and Automation in organisations to execute repetitive tasks more efficiently and solve complex problems. The overarching objective of the thesis is to understand the impact and change in decision-making and job roles in organisations adopting AI/Automation solutions for the first time. This thesis is focussed on the adoption of AI in the HR function. Several relevant themes were developed from the literature review and participant interviews. Based on research, learnings from this thesis and professional experiences an actionable knowledge framework was developed to help managers understand and navigate the challenges when adopting an AI/automation solution for the first time.

Item Type:	Thesis (Doctor of Business Administration)
Uncontrolled Keywords:	Artificial Intelligence, Automation, Workforce Management, Decision Making, Emerging Skills, Workforce Planning, Future Skills, Digitalisation, Human Resource Management, Job Role, Ethical AI, Workforce Automation, Job Evolution, AI Governance, Talent Management, Recruitment
Divisions:	Faculty of Humanities & Social Sciences Faculty of Humanities & Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	05 Feb 2026 11:36
Last Modified:	05 Feb 2026 11:37
DOI:	10.17638/03194433
Supervisors:	Croft, Charlotte
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3194433
Disclaimer:	The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.