Operationalizing Industry 4.0: Understanding Barriers of Industry 4.0 and Circular Economy

Halse, Lise Lillebrygfjeld; Jæger, Bjørn

doi:10.1007/978-3-030-29996-5_16

Cited by 22 publications

(12 citation statements)

References 16 publications

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“…They propose that an approach based on competency as one of the best approaches towards the implementation of Industry 4.0 in organizations (Irman and Kantola, 2019). Nevertheless, other researchers believe that inadequate competencies can become an important barrier to the implementation of Industry 4.0 (Halse and Jaeger, 2019).…”

Section: Cemj 175mentioning

confidence: 99%

Competency Needs of Industry 4.0 Companies

Plawgo¹,

Ertman²

2021

CEMJ

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Purpose: The main aim of the study is the analysis of the awareness of competency needs in businesses in relation to the development of Industry 4.0 and the possibility of meeting those needs within business cooperation networks. Methodology: We formed a model of competency needs for companies operating as part of Industry 4.0 in Poland, considering the needs of managers and other staff members. The model was then employed in empirical studies. The pilot empirical study was conducted using two methods: a quantitative CAWI method, which covered 81 companies from the metal processing and machine industry in Podlaskie Voivodship, and a qualitative IDI on a sample of 25 organizations. Findings: Manufacturing companies are not fully aware of the competency needs related to Industry 4.0, covered by the established model. Moreover, we found that the most strongly felt competency needs – both by managers and other employees – may not be met within the business cooperation network. In order to satisfy these needs, partners must be found outside the studied network. The business cooperation network that we studied may only satisfy the less noticeable competency needs. Implications: The developed competency model should be studied and further verified, including testing with a larger sample of companies, specifying the behavioral competency gaps related to Industry 4.0, their filling in using formal education systems, lifelong education, internships, and apprenticeships. The need for further research is dictated by the intensity of processes occurring within the Fourth Industrial Revolution. Value: The pilot nature of the study and its limited sample do not undermine its contribution to the body of knowledge as it confirms that the competencies of managers and other staff members are one of the key determinants of successful implementation of the Industry 4.0 concept in Poland.

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Section: Cemj 175mentioning

confidence: 99%

Competency Needs of Industry 4.0 Companies

Plawgo¹,

Ertman²

2021

CEMJ

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“…The focus ranges from the regional or country (i.e., macro) level (e.g., [48][49][50][51]) through the industry (i.e., mezzo) level (e.g., [52][53][54][55][56]) to the company (i.e., micro) level (e.g., [17,57]). Barriers have been classified on the basis of systematic literature reviews (e.g., [17,55,58,59]) or identified by empirical research (e.g., [50][51][52]60]). Studies by de Jesus & Mendonça [58] and Kirchherr et al [50] have categorized barriers into groups which cover regulatory/policy barriers, market/economic barriers, technical/technological barriers, and social/cultural/public participation barriers.…”

Section: Barriers (Challenges) To the Adoption Of Ce Conceptmentioning

confidence: 99%

Implementation of Circular Economy Technologies: An Empirical Study of Slovak and Slovenian Manufacturing Companies

2021

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Circular Economy (CE) practices and technologies are essential for increasing sustainability performance in manufacturing. Due to the increasing number of environmental regulations and growing public awareness of environmental issues, especially in the EU, CE is increasingly seen as a valuable factor in improving competitiveness. Therefore, there is a need for a fuller understanding of the ways in which CE technologies can be implemented into the manufacturing industries. The aim of this paper is to contribute to the identification of the characteristics of manufacturing companies and their perceptions of the barriers to the adoption of CE technologies. This survey-based study of 241 manufacturing companies (comprising a sub-sample of Slovak and Slovenian companies from the more extensive European Manufacturing Survey) uses a series of statistical tests to examine the implementation of three CE technologies. The results show that there is significant relationship between the adoption of CE technologies in manufacturing companies and their size, location, R&D activities, company age and product batch size. Finally, the research reveals the surprising finding that there is no apparent link between the perception of CE barriers and the plans of companies to implement selected CE technologies.

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“…However, many studies were carried out to explore the importance of these barriers. Examples of such barriers as reported in the literature take account of lack of infrastructure, resistance to change, lack of financial support, uncertainty of economic benefits, lack of digital skills, high investment requirements, lack of digital strategy and scare resources, cyber security challenges, and data management and quality challenges(Karadayi-Usta, 2019; Halse & Jaeger, 2019;Raj et al, 2020;Ghadge et al, 2020;Kumar et al, 2021;Goel et al, 2022;Vigneshvaran & Vinodh, 2022;Hughes et al, 2022). However, accepting, rejecting or rearranging these barriers may vary using data from another business environment according to views of other experts.…”

Section: Introductionmentioning

confidence: 99%

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

Attiany¹,

Al-kharabsheh²,

Al-Makhariz³

et al. 2023

10.5267/j.uscm

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This research aims at exploring barriers of adopting Industry 4.0 in manufacturing supply chains. Data were collected based on a review of extant literature on barriers Industry 4.0 adoption, individual interviews with a panel consisted of academic and industry experts. Following numerous previous studies, interpretive structural modeling (ISM) and matrix multiplication applied to classification (MICMAC) analysis were conducted to order 10 barriers based on their importance and impacts. The results excluded one barrier “cyber security challenges”, categorized another one as a dependent barrier “lack of digital strategy”, and eight barriers as linkage barriers “lack of infrastructure”, “personnel resistance to adopt new technologies”, “high investment requirements”, “data management and quality challenges”, “uncertainty of economic benefits”, “low maturity level of technology”, “lack of adequate skills”, and “job disruptions”. Henceforward, it was concluded that mitigating these eight barriers is very critical to ensure a successful adoption of Industry 4.0 technologies in supply chains. Further studies are required to categorize these eight barriers based on their importance and relationships.

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Operationalizing Industry 4.0: Understanding Barriers of Industry 4.0 and Circular Economy

Cited by 22 publications

References 16 publications

Competency Needs of Industry 4.0 Companies

Competency Needs of Industry 4.0 Companies

Implementation of Circular Economy Technologies: An Empirical Study of Slovak and Slovenian Manufacturing Companies

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

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