Digital technology in occupational health of manufacturing industries: a systematic literature review

Abstract

In this study, we fill the gap of limited effort on systematic literature review into the field of digital technology for occupational health of manufacturing industries. Upon reviewing 53 publications selected by combined bibliometric and classical review methods, we present an integrated overview of the major research areas and hot topics and critically identify the prevalent digital technologies and application modes, the enablers and barriers to implementation, as well as the research agenda in the field of digital technologies in occupational health. The results show that, with the increasing popularity and penetration of digital items like wearable devices and sensors, human–robot collaboration, deep learning analytics, the identified enablers to digital technology implementation are: intelligent manufacturing, competitive condition, data-driven decision-making tool, considerations of welfare and health; and the barriers are: technological gap, privacy and data security, culture and acceptance, and cost consideration. Additionally, propositions on three aspects and six perspectives are recommended for future research in this field. Overall, this study provides insights through systematic analysis and synthesis, and offers the means to achieve Sustainable Development Goals (SDGs) by exploring efficient digital technologies to protect labor rights and improve occupational health in the manufacturing industries.