Social enablers of Industry 4.0 technology adoption: transformational leadership and emotional intelligence

变革型领导 独创性 业务 营销 技术接受与使用的统一理论 工业4.0 知识管理 关键成功因素 价值(数学) 定性研究 管理 期望理论 社会学 计算机科学 经济 嵌入式系统 机器学习 社会科学
作者
Desirée H. van Dun,Maneesh Kumar
出处
期刊:International Journal of Operations & Production Management [Emerald (MCB UP)]
卷期号:43 (13): 152-182
标识
DOI:10.1108/ijopm-06-2022-0370
摘要

Purpose Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption. Design/methodology/approach Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption. Findings The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies. Originality/value Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.
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