Nengzhi(Chris) Yao , Junhong Bai , Zihao Yu , Qiaozhe Guo
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引用次数: 0
Abstract
Despite the importance of Artificial Intelligence (AI) in operations management, the relationship between AI orientation––the strategic direction towards the implementation and integration of AI into the organization––and operational efficiency remains unclear. Drawing upon a strategic orientation perspective, we propose that the relationship between AI orientation and operational efficiency is positive, but it is subject to the influences of market, industry and institutional environments. We analyzed a sample of 1597 A-share firms listed in Shanghai and Shenzhen Stock Exchanges in China from 2012 to 2020. We deployed fixed-effect ordinary least square regressions, as well as instrumental variable two-stage least squares (IV-2SLS) models. Our findings contribute to the literature on strategic orientation and operational improvement, and provide practical insights into whether and when firms should develop AI orientation to enhance operational efficiency.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.