Augmented reality for industrial services provision: the factors influencing a successful adoption in manufacturing companies

Abstract

Purpose: This paper presents a model aiming to identify the factors influencing the adoption of augmented reality (AR) for industrial services. Design/methodology/approach: The study combines a literature analysis with an empirical study conducted exploring how five large industrial companies are introducing AR for supporting the provision of technical assistance and industrial services to their installed base. Findings: The authors identify four categories (task, workforce, context and technology) that combine 18 factors that manufacturing companies should consider when introducing AR technology to support industrial services. Originality/value: This paper systematises the fragmented literature on technology adoption and in particular those works related to the factors affecting the adoption of AR in industrial services. Based on literature and empirical evidence, the authors propose a novel framework that can help companies in the selection of AR solution based on their specific applications and situations. This study therefore contributes also to the existing literature on the adoption of I4.0 and digital technologies in industrial services.