Paper Number
ECIS2026-1121
Paper Type
SP
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.
Recommended Citation
Margherita, Emanuele Gabriel, "Motives Behind An Effective Industry 4.0 Adoption: An Institutional Perspective With Organizational Prior Knowledge" (2026). ECIS 2026 Proceedings. 2.
https://aisel.aisnet.org/ecis2026/is_adopt/is_adopt/2
Motives Behind An Effective Industry 4.0 Adoption: An Institutional Perspective With Organizational Prior Knowledge
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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