The findings of the study show that information communication technology capability and technological readiness play a significant role in improving the performance of AI-based partner relationship management.
Authors
Ashutosh Samadhiya, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University Sonipat, Haryana, India.
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK.
Sanjeev Yadav, Department of Textile and Fibre Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Sunil Luthra, Training and Learning Bureau, All India Council for Technical Education (AICTE), New Delhi, India.
Charbel Jose Chiappetta Jabbour, NEOMA Business School, France.
Rajat Agrawal, Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee, India.
Summary
Drawing on the dynamic capability view and resource-based view, this study investigates the relationship among artificial intelligence (AI)-based partner relationship management, firm performance, and sustainable competitiveness concerning the climate management of business-to-business (B2B) firms. Throughout this investigation, the study additionally explored the impact of several other dimensions, including information communication technology capability, firm fit, and technological readiness, as fundamental requirements for the implementation of AI-based partner relationship management.
The present study also investigates the relationship between firm partner engagement and firm information processing systems for climate management of B2B firms and their impact on achieving firm performance and sustainable competitiveness. A mixed-methods approach was employed that involves in-depth interviews with senior managers from a diverse set of B2B firms, and the proposed hypothesis model was evaluated by analysing the collected B2B data of 142 responses using partial least squares structural equation modelling.
The findings of the study show that information communication technology capability and technological readiness play a significant role in improving the performance of AI-based partner relationship management. Furthermore, the implementation of AI-based partner relationship management in B2B firms would help partner engagement and information processing systems for climate management, leading to sustainable firm competitiveness. The outcomes of this study offer many implications for managers and practitioners in the B2B sector and suggest potential avenues for future research.
Published in: Industrial Marketing Management
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