Andreia de Bem Machado, Silvana Secinaro, D. Calandra, Federico Lanzalonga
{"title":"工业4.0的知识管理与数字化转型:结构化文献综述","authors":"Andreia de Bem Machado, Silvana Secinaro, D. Calandra, Federico Lanzalonga","doi":"10.1080/14778238.2021.2015261","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper provides a structured literature review (SLR) on knowledge management (KM), digital transformation (DT), and Industry 4.0, defining these new research streams’ interactions, ties, and interdependencies. Playing an essential role in a progressive discipline, our research summarises the state of the art of the past literature using rigorous methodological approach. The researchers adopt the Scopus database in their analysis and use the Bibliometrix R package. The analysis reveals 761 peer-reviewed English articles. The study shows several research clusters: KM and DT; KM and innovation ecosystems; KM and frontier technologies; and KM, decision-making, and Industry 4.0. Additionally, our paper contributes to identifying a flourishing field of research that has uncovered a previously unknown and exciting link between KM, DT, and the public sector. Finally, the article emphasises the crucial role of DT in KM development, addressing future research perspectives as quantitative and joint academics and practitioners’ analysis.","PeriodicalId":51497,"journal":{"name":"Knowledge Management Research & Practice","volume":"20 1","pages":"320 - 338"},"PeriodicalIF":3.2000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"86","resultStr":"{\"title\":\"Knowledge management and digital transformation for Industry 4.0: a structured literature review\",\"authors\":\"Andreia de Bem Machado, Silvana Secinaro, D. Calandra, Federico Lanzalonga\",\"doi\":\"10.1080/14778238.2021.2015261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This paper provides a structured literature review (SLR) on knowledge management (KM), digital transformation (DT), and Industry 4.0, defining these new research streams’ interactions, ties, and interdependencies. Playing an essential role in a progressive discipline, our research summarises the state of the art of the past literature using rigorous methodological approach. The researchers adopt the Scopus database in their analysis and use the Bibliometrix R package. The analysis reveals 761 peer-reviewed English articles. The study shows several research clusters: KM and DT; KM and innovation ecosystems; KM and frontier technologies; and KM, decision-making, and Industry 4.0. Additionally, our paper contributes to identifying a flourishing field of research that has uncovered a previously unknown and exciting link between KM, DT, and the public sector. Finally, the article emphasises the crucial role of DT in KM development, addressing future research perspectives as quantitative and joint academics and practitioners’ analysis.\",\"PeriodicalId\":51497,\"journal\":{\"name\":\"Knowledge Management Research & Practice\",\"volume\":\"20 1\",\"pages\":\"320 - 338\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2021-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"86\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Knowledge Management Research & Practice\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/14778238.2021.2015261\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Knowledge Management Research & Practice","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/14778238.2021.2015261","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Knowledge management and digital transformation for Industry 4.0: a structured literature review
ABSTRACT This paper provides a structured literature review (SLR) on knowledge management (KM), digital transformation (DT), and Industry 4.0, defining these new research streams’ interactions, ties, and interdependencies. Playing an essential role in a progressive discipline, our research summarises the state of the art of the past literature using rigorous methodological approach. The researchers adopt the Scopus database in their analysis and use the Bibliometrix R package. The analysis reveals 761 peer-reviewed English articles. The study shows several research clusters: KM and DT; KM and innovation ecosystems; KM and frontier technologies; and KM, decision-making, and Industry 4.0. Additionally, our paper contributes to identifying a flourishing field of research that has uncovered a previously unknown and exciting link between KM, DT, and the public sector. Finally, the article emphasises the crucial role of DT in KM development, addressing future research perspectives as quantitative and joint academics and practitioners’ analysis.
期刊介绍:
Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.