scholarly journals The role of Industry 4.0 enabling technologies for safety management: A systematic literature review

2021 ◽  
Vol 180 ◽  
pp. 436-445
Author(s):  
Antonio Forcina ◽  
Domenico Falcone
2021 ◽  
Vol 13 (11) ◽  
pp. 6501
Author(s):  
Sehrish Atif ◽  
Shehzad Ahmed ◽  
Muhammad Wasim ◽  
Bassam Zeb ◽  
Zeeshan Pervez ◽  
...  

Industry 4.0 (I4.0) technologies have been highlighted in recent literature as enablers of servitisation. Simultaneously, businesses are advised to implement a circular economy (CE) to bring new opportunities. However, it is pertinent to mention that little attention has been given to assess the role of I4.0 in adopting the CE and servitisation in a fully integrated manner. This research fills this gap by developing a conceptual framework through a systematic literature review of 139 studies investigating the relationship between the I4.0, CE, and servitisation. This study identifies the impact of these variables on a firm’s operational and financial performance (revenue stream, growth, and profitability). Our research findings advocate that adopting I4.0 technologies to the business and manufacturing model enables sustainability, energy and resource efficiency while enhancing performance and offering innovative products through smart services. Thus, firms must systematically adopt I4.0 technologies to support a CE model that creates value through servitisation. This study identifies the research gaps that are unexplored for practitioners and future researchers while providing insight into the role of I4.0 in implementing CE in the servitisation business model.


2020 ◽  
Vol 33 (4) ◽  
pp. 411-427 ◽  
Author(s):  
Fernando Ressetti Pinheiro Marques Vianna ◽  
Alexandre Reis Graeml ◽  
Jurandir Peinado

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cristina Orsolin Klingenberg ◽  
Marco Antônio Viana Borges ◽  
José Antônio Valle Antunes Jr

Purpose The purpose of this paper is to identify current technologies related to Industry 4.0 and to develop a rationale to enhance the understanding of their functions within a data-driven paradigm. Design/methodology/approach A systematic literature review of 119 papers published in journals included in the Journal Citation Report (JCR) was conducted to identify Industry 4.0 technologies. A descriptive analysis characterizes the corpus, and a content analysis identifies the technologies. Findings The content analysis identified 111 technologies. These technologies perform four functions related to data: data generation and capture, data transmission, data conditioning, storage and processing and data application. The first three groups consist of enabling technologies and the fourth group of value-creating technologies. Results show that Industry 4.0 publications focus on enabling technologies that transmit and process data. Value-creating technologies, which apply data in order to develop new solutions, are still rare in the literature. Research limitations/implications The proposed framework serves as a structure for analysing the focus of publications over time, and enables the classification of new technologies as the paradigm evolves. Practical implications Because the technical side of the new production paradigm is complex and represents an evolving field, managers benefit from a simplified and data-driven approach. The proposed framework suggests that Industry 4.0 should be approached by looking at how data can create value and at what role each technology plays in this task. Originality/value The study makes a direct link between Industry 4.0 technologies and the key resource of this revolution, i.e. data. It provides a rationale that not only establishes relationships between technologies and data, but also highlights their roles as enablers or creators of value. Beyond showing the current focus of Industry 4.0 publications, this paper proposes a framework that is useful for tracking the evolution of the paradigm.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lorenzo Ardito ◽  
Roberto Cerchione ◽  
Erica Mazzola ◽  
Elisabetta Raguseo

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.


Author(s):  
Nazirah Mohamad Abdullah ◽  
◽  
Shuib Rambat ◽  
Mohammad Hafiz Mohd Yatim ◽  
Abdullah Hisam Omar ◽  
...  

2021 ◽  
Vol 13 (14) ◽  
pp. 7683
Author(s):  
Amila Omazic ◽  
Bernd Markus Zunk

Public sector organizations, primarily higher education institutions (HEIs), are facing greater levels of responsibility since adopting and committing to the Agenda 2030 for Sustainable Development (SD) and its 17 Sustainable Development Goals (SDGs). HEIs are expected to provide guidance for various stakeholders on this matter, but also to implement this agenda and the SDGs in their institutions. Although the role of these organizations has been recognized, the fields and issues that HEIs should address on their path towards sustainability and SD are still unclear. To provide further clarity, a semi-systematic literature review on sustainability and SD in HEIs was conducted to identify both the key concepts and main research themes that represent sustainability and SD in HEIs and to identify research gaps. This review increases our knowledge of this topic and enhances our understanding of sustainability and SD in the context of HEIs.


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