HR factors for the successful implementation of Industry 4.0: A systematic literature review

2021 ◽  
Vol 47 (2) ◽  
pp. 73-85
Author(s):  
Anju Verma ◽  
Murugesan Venkatesan

As the world moves deeper into the fourth industrial revolution, organizations around the world are polarizing towards the transformation and adoption of the advanced technologies of Industry 4.0. However, recent studies suggest that organizations struggle and face several managerial challenges in their implementation. As a consequence, many studies examined the potential factors that can influence Industry 4.0 implementation. Based on a systematic literature review, this study has tried to explore, examine, and synthesize the potential human resource (HR) success factors and develop an efficient Industry 4.0 HR framework that can play a vital role in Industry 4.0 implementation. This study would also build a solid foundation for practitioners, academicians, and researchers to get a better understanding of the impact of Industry 4.0 on HR management.

2021 ◽  
Vol 190 (5-6(2)) ◽  
pp. 171-180
Author(s):  
Octavia Diana Monica Tuegeh ◽  
◽  
Mónika Harangi-Rákos ◽  
Adrian Szilárd Nagy ◽  
◽  
...  

There are concerns about the impact of Industrial Revolution 4.0 and challenges on the job market. This research purpose is to analyze the impact of the 4.0 industrial revolution on the labor market related to its consequences for higher education. Based on the Systematic Literature Review using VOSview, this research found the challenges of Industry 4.0 on the job market in Indonesia. Based on the challenges, this research purpose competencies and skill acquired and how the need for higher education to change to answer these challenges.


2021 ◽  
Vol 20 (2) ◽  
pp. 97
Author(s):  
Setiawan San

Attempts to achieve optimization of machine and equipment maintenance at manufacturing companies over the years have encountered a multitude of problems. Due to equipment losses such as setup and adjustment, minor stops and delays, defective products due to equipment, reduced engine speed, and reduced output has influenced their desire to reach world class manufacturing levels. This paper discusses a large part of the TPM approach in manufacturing companies and provides an overview of the various TPM implementation practices demonstrated by manufacturing companies in the world.. Based on review results of the 50 journals about TPM in industries It was found that most of the TPM implementations used the OEE parameter to see the success rate of implementing this TPM. This paper also highlights the variable approach that is most widely used by various practitioners and researchers and evaluates in detail the success factors of implementing TPM and the reasons behind the failure of implementing TPM are also discussed so as to ensure the implementation of TPM can run smoothly and effectively in manufacturing companies


2020 ◽  
Vol 27 (8) ◽  
pp. 2435-2457 ◽  
Author(s):  
Ricardo Belinski ◽  
Adriana M.M. Peixe ◽  
Guilherme F. Frederico ◽  
Jose Arturo Garza-Reyes

PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.


Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 364
Author(s):  
Mohd Hizam-Hanafiah ◽  
Mansoor Ahmed Soomro ◽  
Nor Liza Abdullah

It is critical for organizations to self-assess their Industry 4.0 readiness to survive and thrive in the age of the Fourth Industrial Revolution. Thereon, conceptualization or development of an Industry 4.0 readiness model with the fundamental model dimensions is needed. This paper used a systematic literature review (SLR) methodology with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and content analysis strategy to review 97 papers in peer-reviewed academic journals and industry reports published from 2000 to 2019. The review identifies 30 Industry 4.0 readiness models with 158 unique model dimensions. Based on this review, there are two theoretical contributions. First, this paper proposes six dimensions (Technology, People, Strategy, Leadership, Process and Innovation) that can be considered as the most important dimensions for organizations. Second, this review reveals that 70 (44%) out of total 158 total unique dimensions on Industry 4.0 pertain to the assessment of technology alone. This establishes that organizations need to largely improve on their technology readiness, to strengthen their Industry 4.0 readiness. In summary, these six most common dimensions, and in particular, the dominance of the technology dimension provides a research agenda for future research on Industry 4.0 readiness.


2021 ◽  
Author(s):  
Gauri Malhar Bhandurge ◽  
Mrunmayi Shirish Bhide

Abstract Today, as we see a big chunk of the industries in various fields adapting Industry 4.0, a lot of us have started asking the question “what’s next?”, the next industrial revolution, Industry 5.0. Past revolutions have pointed out that new revolutions take place only to correct the anomalies of the existing industrial situations. Likewise, to generate further clarity and to understand the previous findings around smart factory, we conducted a systematic literature review. This research paper talks about the various walks of life that industry 5.0 has the capability to affect and make better. We have also attempted to list down a few factors that will be vital for bringing about the 5th industrial revolution. With the goal of a smart society, which will be an extension of the existing smart factory, we call this process of transformation, growth and development as ‘THE INDUSTRIAL UPCYCLING’. We are proposing a new terminology called IoE – Internet of Everything as an extension of IoT.


Author(s):  
Elena Viktorovna Shirinkina

The relevance of this research is substantiated by the fact that the world job market is currently under the influence of the Fourth Industrial Revolution (Industry 4.0). The goal lies in assessing the impact of cyclic and unexpected trends upon the job market, and thus, the forms of job management and employment functions. In this regard, analysis is conducted on the academic theories in the context of conceptualization of the impact of Industry 4.0 upon the job market and employment functions. The long-term trends in transformation of the job market are determined. The empirical basis of this research is comprised of the statistical data provided by Rosstat and the Ministry of Science and Higher Education of the Russian Federation, as well as the resources of analytical articles and scientific publications, including the materials of international organizations, leading consulting companies, global associations, leading educational institutions, other active participants of global educational environment, and job market experts. An overview is given to the trends that affect the companies, their strategies and business models; the impact of such trends upon the transformation of current professions and the emergence of new professions; skills required for these professions. The scientific novelty lies in substantiation of the concept of skill-biased technical change (SBTC) and the theory of routine-biased technological change (RBTC). The presented materials would allow the companies to combine business news with fundamental training of specialists for going along the new career trajectiory in light of the new technological challenges, which defines the practical value of this research.


2018 ◽  
Vol 204 ◽  
pp. 01010
Author(s):  
Vicio Rizky Damar ◽  
Markus Hartono

Hatsune Miku is the first virtual singer who is currently achieving success, even up to the world level. Miku has a large number of fansbase, like a famous singer. Its popularity also helps Crypton Future Media, as the company maker of Miku, to collaborate, forming a supply chain partnership with several big companies, to bring Miku into real products, which fans can have. This literature review explores this literature study explores Miku's development ever since it was created, until it became famous, and gave rise to a unique supply chain partnership. Researcher using systematic literature review method, with the aim of understanding how big the impact of Supply Chain Partnership and Market Driven from the success of virtual singer Hatsune Miku to consumer behavior, both from the general public and fans. The impact of this unique supply chain partnership is to make consumers loyal and feel close.


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.


2022 ◽  
Vol 12 (2) ◽  
pp. 586
Author(s):  
Mahsa Mahdavisharif ◽  
Anna Corinna Cagliano ◽  
Carlo Rafele

The development of digital technologies in all aspects of human life leads to increasing the necessity for investigating them in the Supply Chain (SC) as the main channel to provide products. Moreover, Lean principles, with the aim of reducing wastes, could be one of the main research streams in SC in recent years. Therefore, it is valuable to figure out the mutual effects of Lean principles and digital technologies as two growing areas in SC. Previous works did not pay attention to investigating this relationship at the SC level and were more focused on the production level. However, the present work addresses this issue by conducting a multi-perspective Systematic Literature Review (SLR). Additionally, in the present SLR, the impact of individual Industry 4.0 technologies in relation to Lean principles was investigated from various SC perspectives. The results reveal the necessity of studying single SC processes in Lean Digital SC. Moreover, the applicability of each technology should be illustrated to alleviate SC operational and organizational issues. The results provide useful insights about applying single digital technologies as well as a combination of them to each SC process to solve specific issues.


2021 ◽  
Vol 13 (10) ◽  
pp. 264
Author(s):  
Tuuli Katarina Lepasepp ◽  
William Hurst

Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing.


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