To better support the digital transformation in industrial contexts, it is necessary to investigate why users accept or reject digital technologies. This study aims to understand the rationale behind the implementation of digital technologies in manufacturing firms and the key factors influencing employee acceptance. Through a multiple-case study in five manufacturing companies, the research reveals that acceptance is shaped by dynamic worker-management interactions, emotional responses, and employee involvement in decision-making. Findings suggest expanding existing models like UTAUT to reflect these dimensions, while offering practical and policy-relevant insights to support more effective, human-centered implementation of digital technologies on the shop floor.

Worker-Management Interactions in Digital Technologies Acceptance: A Multiple-Case Study

Marcos Dieste
;
Ambra Galeazzo;Laura Macchion
2025

Abstract

To better support the digital transformation in industrial contexts, it is necessary to investigate why users accept or reject digital technologies. This study aims to understand the rationale behind the implementation of digital technologies in manufacturing firms and the key factors influencing employee acceptance. Through a multiple-case study in five manufacturing companies, the research reveals that acceptance is shaped by dynamic worker-management interactions, emotional responses, and employee involvement in decision-making. Findings suggest expanding existing models like UTAUT to reflect these dimensions, while offering practical and policy-relevant insights to support more effective, human-centered implementation of digital technologies on the shop floor.
2025
Book of abstracts and papers of the EurOMA 2025 Conference
EurOMA 2025: Operations Management opening to multi-disciplinarity in a time of grand challenges
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3565115
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