Abstract:
Managing talent and growth in sizeable global information technology (IT)
multinational enterprises (MNE) facing technological disruption requires a well-developed innovation strategy. This study presents novel insights into how a large
MNE shared knowledge through artificial intelligence (AI) mediated social exchange
using effective global talent management (GTM) strategies. Analyzing in-depth
qualitative interview data from an extensive global technology MNE subsidiary, this
research draws upon the literature on the knowledge-based view (KBV), AI-mediated
social exchange theory and GTM, and explores how, through an AI-mediated
knowledge-sharing exchange, the MNE managed its knowledge needs. Findings
suggest AI-enabled talent applications improved individual experiences of talents at
this MNE pursuing an innovation strategy. Findings from the data analysis suggest
that first, an innovation-led strategy and culture created a social context for sharing of
talent-specific knowledge through knowledge-based data systems embedded in talent-focused AI applications. Second, talent-focused knowledge sharing using AI-mediated
social exchange applications resulted in talents experiencing varying personalization
levels and positive experience in terms of increased job satisfaction and commitment
and reduced turnover intentions. Implications for MNEs in emerging markets to
manage global talents in an AI embedded digital social exchange for effective
individual outcomes.
