Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective

Naveen Virmani, Shikha Sharma, Anil Kumar and Sunil Luthra

Technological Forecasting and Social Change, 2023, vol. 188, issue C

Abstract: The manufacturing landscape is undergoing unprecedented change, focusing on incorporating digital technologies to maximize operational efficiency and profitability. Myriad potential benefits of adopting incumbent digital and advanced technologies are attracting the interest of entrepreneurs and practitioners across the world. Nonetheless, Industry 4.0 (I4.0) adoption needs rigorous efforts for effective implementation. In academic literature, the potential roadblocks of I4.0 have already been identified and analyzed. However, its adoption is not easy or straightforward; entrepreneurs are concerned about Industry 4.0 adoption. Stringent efforts from all stakeholders can make its adoption a success. The present research provides a holistic approach to analyzing behavioral patterns towards I4.0 adoption. Behavioral Reasoning Theory (BRT) is used to analyze behavioral intentions towards I4.0 adoption. The data of 215 respondents was collected from manufacturing industries. It is found that the construct Reasons For (RF) is positively related to attitude and intention, while Reasons Against (RA) did not show any significant relationship with intention. This research delivers insights to industrialists, entrepreneurs, management, and policymakers to analyze the behavioral patterns towards I4.0 adoption. The results indicate the full mediation of attitude between reasons against and intention. Also, full mediation of reasons against between value and attitude is examined.

Keywords: Industry 4.0; Values; Attitude; Behavioral intentions; Reasons for; Reasons against; Emerging economy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162523000021

DOI: 10.1016/j.techfore.2023.122317

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