Industry 4.0 and its geographies: A systematic literature review and the identification of new research avenues

Fraske, Tim

doi:10.1016/j.diggeo.2022.100031

Cited by 17 publications

(4 citation statements)

References 78 publications

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“…Researchers are focusing on gleaning further insights with regard to how Industry 4.0 relates to value chains and supply networks, clusters and industrial districts, readiness and adaptation of regional industries, innovation development and ecosystems, and labor markets [32]. The North Dakota and Minnesota manufacturers surveyed illustrate the changing environment that is shifting toward the adoption of the new technologies of Industry 4.0.…”

Section: Discussionmentioning

confidence: 99%

A Socio-Technical Study of Industry 4.0 and SMEs: Recent Insights from the Upper Midwest

Roth,

Farahmand

2023

Sustainability

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The implementation of Industry 4.0 is becoming increasingly prevalent in the manufacturing industry since its inception. The purposeful joint optimization of social and technical factors of organizations is imperative to the successful adoption of these newer technologies. This paper shares the outcomes of a survey conducted among a group of small, medium, and large manufacturers in Minnesota and North Dakota. The survey posed questions based on a socio-technical theory framework, Industry 4.0, and productivity outcomes. Insights were provided into how regional manufacturers were utilizing the socio-technical design framework to both integrate Industry 4.0 into the organizational design and extract value, such as increased productivity. This research identifies potential challenges, as well as advantages in the current socio-economic landscape for manufacturers that may be both impeding and encouraging the development of a competitive and sustainable manufacturing business.

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Section: Discussionmentioning

confidence: 99%

A Socio-Technical Study of Industry 4.0 and SMEs: Recent Insights from the Upper Midwest

Roth,

Farahmand

2023

Sustainability

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“…Ching et al [59] directed their literature review on sustainability aspects of industry 4.0-led new manufacturing paradigms. Fraske [60] provided an interesting review of the geographical expanse of industry 4.0 technologies, including value chains, labor markets, industrial districts, and more. Silvestri et al [61] reviewed literature to unearth the tools required for lean manufacturing implementation using industry 4.0 principles and technologies.…”

Section: A Related Reviewsmentioning

confidence: 99%

Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)

Sekhar

Shah²,

Iswanto

2022

Journal of Robotics and Control

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Robotics forms an integral part of industry 4.0, the industrial revolution of the 21st century. This paper presents a bibliometric analysis of Web of Science (WoS) indexed publications addressing this emerging field from 2011 till June 2022. WoS research publications were firstly analysed along multiple verticals such as annual counts, types, publishing sources, research directions, researchers, organizations, and countries. Next, co-authorship collaborations among authors, organizations, and countries were discovered. This was followed by an analysis of co-occurring keywords related to robotics in industry 4.0. Finally, a detailed citation analysis was carried out to unearth citation linkages among authors, institutions, documents, nations, and journals. Latest trends, under-investigated topics, and future directions are also discussed. Primary results indicate that more than 3000 articles are being published annually in this emerging field, with a total of 18,893 documents published in WoS during the last decade. The 'IEEE Access', Chinese Academy of Science, Wang Y. (USA), and the USA emerged as the topmost productive journal, institution, author, and nation. Porpiglia Francesco (Italy), Chinese Academy Science and USA obtained the highest co-authorship total link strength (TLS); whereas Lee Chengkuo (Singapore), China, Chinese Academy Science, and the IEEE Access scored the highest citation TLS among authors, countries, organizations, and sources respectively. Machine learning (ML) emerged as the highest co-occurring keyword, followed by artificial intelligence (AI). Computer Science emerged as the most trending research domain, followed by general applications. In the future, ML and AI will advance more sophisticated robots in industry 4.0 systems.

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“…The emergence of Industry 4.0 (I.40) has revolutionised the business landscape, necessitating the adoption of advanced technologies and processes to drive digital transformation. However, understanding the implementation of I4.0 requires considering the organisational aspects that shape this transformation (Fraske, 2022). I4.0 encompasses cutting-edge technologies like 3D printing, the Internet of Things (IoT), Big Data, artificial intelligence and cloud computing and recognises the importance of organisational and social dimensions (Cugno et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

“…While studies on the co-evolution of clusters and I4.0 remain fragmented and patchy (Castelo-Branco et al , 2019; Balland and Boschma, 2021a, 2021b; Lund and Vildåsen, 2022; Hervas-Oliver et al , 2020), recent research has begun to address the spatial and organisational aspects of the fourth industrial revolution (Fraske, 2022). However, the literature predominantly focuses on advanced Western European countries such as Germany, Spain and Italy (Götz, 2023; Hervas-Oliver et al , 2020; Balland and Boschma, 2021a, 2021b).…”

Section: Introductionmentioning

confidence: 99%

The role of clusters in advancing Industry 4.0 solutions: insights from the Polish automotive context

Mackiewicz,

Götz

2024

DPRG

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Purpose This study is exploratory in nature and designed to address poorly documented issues in the literature. The dimensions of regional distribution or spatial organisation of Industry 4.0 (I4.0), including the potential role of clusters, have only recently been addressed, with most available studies focusing on advanced, mainly Western European countries. Although developing fast, the literature on I4.0 in other countries, such as the Central and Eastern European or post-transition economies like Poland, needs to pay more attention to the spatial distribution or geographical and organisational aspects. In response to the identified knowledge gap, this paper aims to identify the role of clusters in the transformation towards I4.0. This explains why clusters may matter for advancing the fourth digital transformation, how advanced in implementing I4.0 solutions are the residents of Polish clusters and how they perceive the advantages of cluster membership for such implementation. Finally, it seeks to formulate policy recommendations based on the evidence gathered. Design/methodology/approach The methodology used in this study combines quantitative analysis of secondary data from a cluster benchmarking survey with a case study approach. The benchmarking survey, conducted by the polish agency for enterprise development in 2021, gathered responses from 435 cluster members and 41 cluster managers, representing an estimated 57% of the current clusters in Poland. In addition to quantitative analysis, a case study approach was used, incorporating primary sources such as interview with cluster managers and surveys of cluster members, as well as secondary sources like company documents and information from cluster organisation websites. Statistical analysis involved assessing the relationship between technology implementation and the adoption of management systems, as well as exploring potential correlations between technology use and company characteristics such as revenue, export revenue share and number of employees using Pearson correlation coefficient. Findings In Poland, implementing I4.0 technologies by cluster companies is still modest. The cluster has influenced the use of I4.0 technologies in 23% of surveyed companies. Every second surveyed company declared a positive impact of a cluster on technological advancement. The use of I4.0 technologies is not correlated with the revenue of clustered companies. A rather bleak picture emerges from the results, revealing a need for more interest among cluster members in advancing I4.0 technologies. This may be due to a comfortable situation in which firms still enjoy alternative competitive advantages that do not force them to seek new advanced advantages brought about by I4.0. It also reflects the sober approach and awareness of associated high costs and necessary investments, which are paramount and prevent successful I4.0 implementation. Research limitations/implications The limitations inherent in this study reflect the scarcity of the available data. This paper draws on the elementary survey administered centrally and is confined by the type of questions asked. The empirical section focuses on an important, though only one selected sector of the economy – the automotive industry. Nevertheless, the diagnosis of the Polish cluster’s role in advancing I4.0 should complement the existing literature. Practical implications The exploratory study concludes with policy recommendations and sets the stage for more detailed studies. Amidst the research’s limitations, this study pioneers a path for future comprehensive investigations, enabling a deeper understanding of Polish clusters’ maturity in I4.0 adoption. By comparing the authors’ analysis of the Polish Automotive Group (PGM) cluster with existing literature, the authors uncover a distinct disparity between the theoretical prominence of cluster catalysis and the current Polish reality. Future detailed dedicated enquiries will address these constraints and provide a more comprehensive map of Polish clusters’ I4.0 maturity. Originality/value This study identifies patterns of I4.0 implementation and diagnoses the role of clusters in the transformation towards I4.0. It investigates how advanced is the adoption of I4.0 solutions among the residents of Polish clusters and how they perceive the advantages of cluster membership for such transformation. Special attention was paid to the analysis of the automotive sector. Comparing the conclusions drawn from the analysis of the Polish PGM cluster in this case study to those from the literature on the subject, it becomes clear that the catalytic role of clusters in the implementation of I4.0 technologies by enterprises, as emphasised in the literature, is not yet fully reflected in the Polish reality.

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Industry 4.0 and its geographies: A systematic literature review and the identification of new research avenues

Cited by 17 publications

References 78 publications

A Socio-Technical Study of Industry 4.0 and SMEs: Recent Insights from the Upper Midwest

A Socio-Technical Study of Industry 4.0 and SMEs: Recent Insights from the Upper Midwest

Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)

The role of clusters in advancing Industry 4.0 solutions: insights from the Polish automotive context

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