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Identifying Industry 4.0 technologies enablers for knowledge management – a scoping review

Ana Paula Lista, Guilherme Luz Tortorella, Marina Bouzon, Shang Gao, TK Chan

发表年份
2023
引用次数
11

摘要

Purpose This paper aims at identifying the main contributions of Industry 4.0 (I4.0) technologies to the enhancement of knowledge management (KM). Design/methodology/approach A scoping review based on two stages was carried out. In the first stage, a numerical and descriptive analysis was conducted. In the second stage, the latent content of those papers was explored through a qualitative analysis, in which papers were assessed regarding the outcome of the implementation of ten I4.0 technologies on 14 KM abilities and 6 KM processes. Findings Six technologies (e.g. Internet of Things (IoT), big data, cloud computing, simulation, visualisation and industrial robot) were claimed to have a significant contribution on KM, especially for creation, organisation, dissemination and application processes. Overall, results indicated that technologies can significantly contribute to KM, although the extent of such contribution varies across technologies, learning levels, KM processes and abilities. Originality/value Existing studies in I4.0 fall short in exploring how embodied knowledge is articulated in practice, especially regarding opportunities to use new technological alternatives in favour of knowledge and learning development. This study complements the existing literature on I4.0 by identifying which technologies can contribute to KM. Also, a framework was proposed to examine the contribution of I4.0 technologies to KM at individual, team, and organisational levels.

关键词

Knowledge managementOriginalityIndustry 4.0Cloud computingComputer scienceEmerging technologiesValue (mathematics)The InternetData scienceWorld Wide Web

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