Innovative Pathways: Leveraging AI Adoption and Team Dynamics for Multinational Corporation Success
Hasnain Javed,
Marcus Goncalves () and
Shobana Thirunavukkarasu
Additional contact information
Hasnain Javed: School of Management, Jiangsu University, Zhenjiang 212013, China
Marcus Goncalves: Department of Administrative Science, Boston University Metropolitan College, Boston, MA 02215, USA
Shobana Thirunavukkarasu: Department of Administrative Science, Boston University Metropolitan College, Boston, MA 02215, USA
Businesses, 2025, vol. 5, issue 3, 1-28
Abstract:
This study examines the impact of AI adoption orientation on innovation performance in multinational corporations (MNCs), emphasizing team innovativeness as an intervening mechanism and technology orientation as a moderating factor. Using data from 410 respondents collected via a snowball sampling strategy and analyzed through partial least squares structural equation modeling (PLS-SEM), the findings reveal that artificial intelligence (AI) adoption orientation positively influences team innovativeness and innovation performance. Team innovativeness partially mediates this relationship, while technology orientation moderates the link between AI adoption and team innovativeness, underscoring the role of technological preparedness in enhancing innovation. The study contributes to theoretical understanding by integrating team dynamics and technology preparedness in AI-driven innovation. It provides practical insights for managers, policymakers, and organizational leaders on fostering an innovative culture and investing in technology skills to drive MNC competitiveness.
Keywords: AI models; team innovativeness; technology orientation; innovation performance; MNCs (search for similar items in EconPapers)
JEL-codes: A1 D0 D4 D6 D7 D8 D9 E0 E2 E3 E4 E5 E6 E7 F0 F2 F3 F4 F5 F6 G0 G1 G2 H0 J0 K2 L0 L1 L2 M0 M1 M2 M3 M4 M5 N0 N1 N2 O0 O1 P0 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2673-7116/5/3/28/pdf (application/pdf)
https://www.mdpi.com/2673-7116/5/3/28/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jbusin:v:5:y:2025:i:3:p:28-:d:1695173
Access Statistics for this article
Businesses is currently edited by Dr. Patrick Han
More articles in Businesses from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().