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Elevating talents' experience through innovative artificial intelligence-mediated knowledge sharing: Evidence from an IT-multinational enterprise

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  • Malik, Ashish
  • De Silva, M.T. Thedushika
  • Budhwar, Pawan
  • Srikanth, N.R.

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.

Suggested Citation

  • Malik, Ashish & De Silva, M.T. Thedushika & Budhwar, Pawan & Srikanth, N.R., 2021. "Elevating talents' experience through innovative artificial intelligence-mediated knowledge sharing: Evidence from an IT-multinational enterprise," Journal of International Management, Elsevier, vol. 27(4).
    • Handle: RePEc:eee:intman:v:27:y:2021:i:4:s107542532100051x
    DOI: 10.1016/j.intman.2021.100871
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    Cited by:

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    3. Farndale, Elaine & Horak, Sven & Piyanontalee, Rakoon & Puffer, Sheila M. & Vidović, Maja, 2025. "Looking back to look forward: Disruption, innovation and future trends in international human resource management," International Business Review, Elsevier, vol. 34(1).
    4. Magnani, Giovanna & Gioia, Denny, 2023. "Using the Gioia Methodology in international business and entrepreneurship research," International Business Review, Elsevier, vol. 32(2).
    5. Malik, Ashish & Nguyen, Mai & Budhwar, Pawan & Chowdhury, Soumyadeb & Gugnani, Ritika, 2024. "Leveraging high-performance HRM practices and knowledge sharing for managing technological and social change in emerging market healthcare providers," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    6. Malik, Ashish & Kumar, Satish & Basu, Shubhabrata & Bebenroth, Ralf, 2023. "Managing disruptive technologies for innovative healthcare solutions: The role of high-involvement work systems and technologically-mediated relational coordination," Journal of Business Research, Elsevier, vol. 161(C).
    7. Stoian, Maria-Cristina & Tardios, Janja Annabel & Samdanis, Marios, 2024. "The knowledge-based view in international business: A systematic review of the literature and future research directions," International Business Review, Elsevier, vol. 33(2).
    8. Nguyen, Mai & Malik, Ashish & Sharma, Piyush & Kingshott, Russel & Gugnani, Ritika, 2024. "High involvement work system and organizational and employee resilience: Impact of digitalisation in crisis situations," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    9. Miglena Angelova & Tsvetana Stoyanova & Philip Stoyanov, 2023. "Improving HR management in innovative business organizations through digitalization and ICT," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(2), pages 403-418, December.

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