Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data-information-knowledge hierarchy

被引:52
作者
Ardito, Lorenzo [1 ]
Cerchione, Roberto [2 ]
Mazzola, Erica [3 ]
Raguseo, Elisabetta [4 ]
机构
[1] Politecn Bari, Dept Mech Math & Management, Bari, Italy
[2] Univ Napoli Parthenope, Dept Engn, Naples, Italy
[3] Univ Palermo, Dipartimento Ingn, Palermo, Italy
[4] Politecn Torino, Dept Management & Prod Engn, Turin, Italy
关键词
Absorptive capacity; Knowledge management; Digital technologies; Data-information-knowledge hierarchy; Digital transition; Industry; 4; 0; transition; Digital transformation; Organizational learning; BIG DATA ANALYTICS; BUSINESS-MODEL INNOVATION; FIRM PERFORMANCE; VALUE CREATION; ARTIFICIAL-INTELLIGENCE; DECISION-MAKING; CO-CREATION; DIGITAL TRANSFORMATION; ONLINE COMMUNITIES; AUGMENTED REALITY;
D O I
10.1108/JKM-04-2021-0325
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose The effect of the transition toward digital technologies on today's businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective. Design/methodology/approach First, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers. Findings By providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications. Originality/value This study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework.
引用
收藏
页码:2222 / 2254
页数:33
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