Autonomous driving paper index
Motives Behind An Effective Industry 4.0 Adoption: An Institutional Perspective With Organizational Prior Knowledge
One-line summary
We contribute to Industry 4.0 (I4.0) literature with the first empirical work exploring how motives coming from institutional pressures, in conjunction with prior knowledge on digital technologies, support effective I4.0 adoption.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
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Original abstract
We contribute to Industry 4.0 (I4.0) literature with the first empirical work exploring how motives coming from institutional pressures, in conjunction with prior knowledge on digital technologies, support effective I4.0 adoption. Although previous research has emphasized the importance of prior knowledge on digital technologies and the related underlying institutional motives, little is known about how these factors are configured to facilitate I4.0 adoption. To address this gap, we apply a fuzzy-set qualitative comparative analysis (fsQCA) to an ad-hoc country-level dataset covering 26 European countries. The preliminary results identify two equifinal configurations associated with effective I4.0 adoption: (1) motives from coercive pressure combined with prior knowledge on digital technologies, and (2) motives from mimetic pressure combined with prior knowledge on digital technologies.
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