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Bridging the Skill Gap in IT by Using Generative AI : Utilizing Opportunities and Overcoming Challenges

The world is changing at an unprecedented speed, rapidly altering the skill requirements for employees in organizations. Through the lens of semi-structured interviews conducted with twelve employees from HR, AI, and IT, this case study examines current practices, prevalent challenges, and future expectations regarding GAI integration. Employing an inductive approach steeped in grounded theory coupled with thematic analysis, the research identifies two pivotal themes. Firstly, it underscores the urgent necessity for continuous reskilling and upskilling initiatives, particularly within the rapidly evolving landscape of information technology. Secondly, it highlights the imperative for strategic interventions to overcome GAI's intrinsic limitations to foster its successful integration within organizational frameworks. The theoretical underpinning of this research draws upon a comprehensive framework that synthesizes concepts from the Resource-Based View of the Firm, Organizational Learning Theory, Human-Computer Interaction, and the Technology Acceptance Model. Through this integrative lens, the thesis clarifies the complex dynamics accompanying the incorporation of GAI into organizational learning initiatives. The findings not only unveil the various opportunities that GAI presents but also delineate the strategic imperatives essential for its successful integration. This study contributes to the existing literature by offering nuanced insights into the perspectives of HR professionals, IT specialists, and AI experts on deploying GAI for reskilling and upskilling endeavors within IT departments.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-129814
Date January 2024
CreatorsTenger, Eike Sören, Taeymans, Serge
PublisherLinnéuniversitetet, Institutionen för management (MAN)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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