Industry 4.0: key findings and analysis from the literature arena

Industry 4.0: critical investigations and synthesis of key findings

The concept of Industry 4.0 has been one of the most debated and trending topics over the last few years. Progressively, it has attracted the attention of academicians, practitioners, and policymakers worldwide. However, there needs to be more systematic review of research in the current literature that captures the current state of this new paradigm. This study aims to address this gap by conducting a comprehensive review of Industry 4.0 previous studies to identify its technological, organisational, and managerial enablers, as well as its implementation challenges and benefits. A systematic literature review was conducted, in which 244 peer-reviewed journal papers were analysed in the Scopus database until the end of May 2022. This study excluded conference papers, book chapters, and journal papers not written in English. The study indicated that industry 4.0 is still an immature topic, and applying this new paradigm is not a matter of technology only. Organisational and managerial aspects should be considered. Additionally, the transition towards Industry 4.0 is a complex task, many obstacles exist, and manufacturing companies should be aware of these challenges for successfully implementing this new paradigm. The obtained results in this study synthesise recent studies published on Industry 4.0 and provide a comprehensive picture of Industry 4.0 and potential research directions for future research. Also, this study offers significant guidelines for managers interested in implementing Industry 4.0.

Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain

Purpose

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Design/methodology/approach

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

Findings

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Practical implications

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

Originality/value

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

Quality 4.0 Maturity Assessment in Light of the Current Situation in the Czech Republic

Production companies throughout the world are currently facing challenges with the extensive transformation of their processes with regard to digitalisation and other features of Industry 4.0. Simultaneously, traditional quality management processes must be significantly changed, and the umbrella term “Quality 4.0” is used to represent this transformation. Many companies, including Czech enterprises, are still struggling with the concept of Quality 4.0, as there are a lot of uncertainties, misunderstandings, and false approaches. Additionally, a lot of questions arise about how to provide an objective and comprehensive assessment of the company’s maturity or readiness for Quality 4.0. Therefore, the main objective of this article is to present our proposal of a framework and methodology on how to assess and measure the maturity level for the implementation of Quality 4.0. This proposal will be supplemented by a presentation of the main results obtained from a special field study, which was conducted at Czech production companies with the aim of obtaining a representative set of information showing their readiness to adopt Quality 4.0 and convert existing quality management systems into the new era. The authors also identify some research gaps, including the necessity to confirm the mutual relationship between the dimensions and items of Quality 4.0 and the sustainable development of companies or society.

Designing Value Chains for Industry 4.0 and a Circular Economy: A Review of the Literature

The growth of emerging digital technologies has led to premature and inconsistent conclusions about the relationship between circular economy and value chain activities. A structured, systematic review approach was used to examine the titles and abstracts of 912 papers from the circular economy and digital transformation, strategic management, and operations management literature. We looked at a relevant selection of 79 articles to develop a research agenda. The literature review helped identify strategic initiatives impacting the firm value chain’s redesign involving logistics capabilities, marketing, sales, and service. Outcomes of this study make significant contributions to the field. First, firms must reorganize their business models that align with their value chain activities. Second, the literature review in this study adds to a growing understanding of the field of research by showing that engaging with Industry 4.0 and the circular economy is desirable and necessary for internalizing knowledge flows across different value chain actors. Third, this study is a first step in the right direction in developing and understanding the critical role of value chains and evolving business models in a global economy with calls for more sustainable development.

How do the technological capability and strategic flexibility of an organization impact its successful implementation of Industry 4.0? A qualitative viewpoint

Purpose

Industry 4.0 (I 4.0) consists of numerous digital technologies applied in organizations strategically to add value to the customer. Different organizations have varying degrees of technological capability and strategic flexibility. This paper aims to explore the relationship between technological capability and strategic flexibility on successful implementation of I 4.0.

Design/methodology/approach

A qualitative study using a grounded theory approach is conducted on 34 senior managers from Europe and North America who have implemented I 4.0 participated in this study through a theoretical sampling frame.

Findings

This study finds that technological capability and strategic flexibility have an impact on the successful implementation of I 4.0. The study also finds that different dimensions of technological capability also impact I 4.0. The interactive effect of strategic flexibility and technological capability is also noted. The study also develops a framework for successful implementation of I 4.0.

Practical implications

This study can be used by managers while implementing I 4.0 to devise a strategic roadmap for acquiring technological capability with I 4.0 technologies. Besides, it will help the managers to consider the bidirectional relationship between technological capability and strategic flexibility while formulating I 4.0 strategy for successful implementation of I 4.0 in their organizations.

Originality/value

Previous studies have examined the importance of I 4.0 technologies. However, this study extends the previous works by suggesting how technological capability and strategic flexibility can help in the successful implementation of I 4.0.

Benchmarking Industry 4.0 readiness evaluation using fuzzy approaches

Purpose

The purpose is to assess Industry 4.0 (I4.0) readiness index using fuzzy logic and multi-grade fuzzy approaches in an automotive component manufacturing organization.

Design/methodology/approach

I4.0 implies fourth industrial revolution that necessitates vital challenges to be dealt with. In this viewpoint, this article presents the evaluation of I4.0 Readiness Index. The evaluation includes two levels with appropriate criteria and factors. Fuzzy logic approach is used for assessment. Furthermore, the results obtained from fuzzy logic have been benchmarked with multi-grade fuzzy approach.

Findings

The proposed assessment model has successfully utilized fuzzy logic approach for assessment of I4.0 readiness index of automotive component manufacturing organization. Based on fuzzy logic approach, readiness index of I4.0 has been found to be (4.74, 6.26, 7.80) which is further benchmarked using multi-grade fuzzy approach. Industry 4.0 readiness index obtained from multi-grade fuzzy approach is 6.258 and thus, validated. Furthermore, 20 weaker areas have been identified and improvement suggestions are provided.

Research limitations/implications

The assessment module include two levels (Six Criteria and 50 Factors). The assessment model could be expanded based on advancements in industrial developments. Therefore, future researchers could utilize findings of the readiness model to further develop multi-level assessment module for Industry 4.0 readiness in organization. The developed readiness model helped researchers in understanding the methodology to assess I4.0 readiness of organization.

Practical implications

The model has been tested with reference to automotive component manufacturing organization and hence the inferences derived have practical relevance. Furthermore, the benchmarking strategy adopted in the present study is simple to understand that makes the model unique and could be applied to other organizations. The results obtained from the study reveal that fuzzy logic-based readiness model is efficient to assess I4.0 readiness of industry.

Originality/value

The development of model for I4.0 readiness assessment and further analysis is the original contribution of the authors. The developed fuzzy logic based I4.0 readiness model indicated the readiness level of an organization using I4RI. Also, the model provided weaker areas based on FPII values which is essential to improve the readiness of organization that already began with the adoption of I4.0 concepts. Further modification in the readiness model would help in enhancing I4.0 readiness of organization. Moreover, the benchmarking strategy adopted in the study i.e. MGF would help to validate the computed I4.0 readiness.

The road towards industry 4.0: a comparative study of the state-of-the-art in the Italian manufacturing industry

Purpose

This paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in technologies implemented and business functions involved, benefits perceived, and obstacles encountered in I4.0 implementation over a three-year period.

Design/methodology/approach

The approach adopted in this research is descriptive, nesting longitudinal features. The paper presents a descriptive survey of 102 Italian manufacturing companies. The authors also evaluated non-response biases. The longitudinal approach was achieved by comparing the responses of the 40 sub-samples in common with a second similar survey launched three years prior, which aimed to identify patterns of evolution in the adoption of the I4.0 paradigm.

Findings

Survey findings demonstrate that Italian manufacturing companies still have limited awareness of I4.0 technologies, and the adoption of I4.0 technologies differs per technology. Company size and information system coverage level are the two factors that impact the company's technology adoption level. The comparative study shows that knowledge and adoption increase in a three-year interval with an unbalanced involvement of business functions regarding the I4.0 transformation. Indeed, companies are still seeking I4.0 solutions to reduce costs and lead times primarily, and the benefits perceived by companies are shown to be related to the number of I4.0 technologies in use. Finally, when companies put the I4.0 technologies into practice, competence is constantly considered the most significant barrier.

Research limitations/implications

This paper aims at conducting a thorough investigation into the development of I4.0 adoption in manufacturing companies. The main limitation of this study concerns the limited number of subjects involved in the longitudinal study (40) and the focus on a limited geographical area (Italy). In addition, more I4.0 technologies could also be incorporated into the survey protocol to gain further insight into I4.0 development.

Originality/value

The authors provide one of the first attempts to assess the variations of I4.0 implementation concerning technology adoption, business function involvement, and the alteration of benefits and obstacles. Several studies presented in the literature highlight the lack of longitudinal studies investigating the development of the I4.0 paradigm in a specific manufacturing context: this paper is the attempt at filling this gap.

Effects of gain-loss-framed messages on virtual reality intervened fitness exercise

Purpose

Technology for fitness provides users with numerous features that aid the achievement of intended fitness/health goals such as checking consumption habits and adherence to exercise. Based upon the concepts of self-efficacy and prospect theories, this study aims to inspect the influence of messages frame on behavioral usage of virtual reality (VR) technology intervened fitness exercise.

Design/methodology/approach

By usage of a laboratory-based experiment commissioning certain fitness exercises, this study is conducted on 150 respondents. An assessment is conducted on the efficiency of gain appeal mechanism (exercise performance feedback) toward the usage of VR intervened fitness exercise and measured surge in exercise self-efficacy (ESE), playfulness (PL) and outcome expectations.

Findings

The results show that gain-appealed/framed messages prove advantageous over loss-appealed/framed in performing VR intervened exercises. A bootstrapped (method) mediation analysis confirms higher positive effects of gain-framed messages upon intentions to use VR intervened fitness exercise. VR intervened fitness exercise was strongly and positively mediated by ESE, PL and outcome expectations.

Practical implications

This study is of help to researchers and marketers trying to understand the role played by gain- and loss-framed messages on VR technology enabled fitness exercises.

Originality/value

This study helps VR and fitness technology developers and marketers understand the effectiveness of persuasive performance messages toward VR fitness exercise technology adoption amalgamating message intervention with better technology usage.

A Graph-Theoretic Approach to Evaluate the Intensity of Barriers in the Implementation of Industry 4.0

Industry 4.0 is seen as a relatively new concept with regard to developing nations like India. It is, however, recognized as an innovative approach for ensuring competitiveness and sustainability in manufacturing according to the Triple Bottom Line (TBL) perspective. But the practitioners are not endorsing the concept with much enthusiasm due to numerous barriers across the different segments of the manufacturing sector. Therefore, determining the essence and impact of these barriers is essential so that practitioners can devise appropriate mitigation strategies. In this direction, an attempt has been made to evaluate the intensity of barriers in the implementation of Industry 4.0 by using a graph-theoretic approach (GTA). Based on this methodology, a single numerical index value (i.e. I4.0BII) (Industry 4.0 Barrier Intensity Index) has been calculated to evaluate the intensity (or overall impact) of the barriers with respect to the considered case company. The GTA results revealed that the case company is most significantly impacted by organization-related barriers, strategic barriers, and technology-oriented barriers. In contrast, it is least affected by ethical and regulatory barriers and socio-cultural barriers. Furthermore, the scenario analysis was conducted to develop a scale that would assist practitioners in evaluating and benchmarking the implementation of Industry 4.0. It was observed from the developed scale that the case company was placed under the category “partially ready to meet the expectations of Industry 4.0” with a normalized I4.0BII value proportional to 0.78. The case company practitioners need to concentrate on those barriers which have a high I4.0BII value, and accordingly, strategies can be developed to mitigate their hindering impacts.

Managing the resource allocation for the COVID-19 pandemic in healthcare institutions: a pluralistic perspective

Purpose

As COVID-19 outbreak has created a global crisis, treating patients with minimum resources and traditional methods has become a hectic task. In this technological era, the rapid growth of coronavirus has affected the countries in lightspeed manner. Therefore, the present study proposes a model to analyse the resource allocation for the COVID-19 pandemic from a pluralistic perspective.

Design/methodology/approach

The present study has combined data analytics with the K-mean clustering and probability queueing theory (PQT) and analysed the evolution of COVID-19 all over the world from the data obtained from public repositories. By using K-mean clustering, partitioning of patients’ records along with their status of hospitalization can be mapped and clustered. After K-mean analysis, cluster functions are trained and modelled along with eigen vectors and eigen functions.

Findings

After successful iterative training, the model is programmed using R functions and given as input to Bayesian filter for predictive model analysis. Through the proposed model, disposal rate; PPE (personal protective equipment) utilization and recycle rate for different countries were calculated.

Research limitations/implications

Using probabilistic queueing theory and clustering, the study was able to predict the resource allocation for patients. Also, the study has tried to model the failure quotient ratio upon unsuccessful delivery rate in crisis condition.

Practical implications

The study has gathered epidemiological and clinical data from various government websites and research laboratories. Using these data, the study has identified the COVID-19 impact in various countries. Further, effective decision-making for resource allocation in pluralistic setting has being evaluated for the practitioner's reference.

Originality/value

Further, the proposed model is a two-stage approach for vulnerability mapping in a pandemic situation in a healthcare setting for resource allocation and utilization.

The interplay between the Internet of things and supply chain management: challenges and opportunities based on a systematic literature review

Purpose

This study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance.

Design/methodology/approach

A systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework.

Findings

Regarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models.

Research limitations/implications

The review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion.

Practical implications

The findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted.

Originality/value

This study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified.

Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges

Purpose

The pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient.

Design/methodology/approach

To study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique.

Findings

Resilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well.

Originality/value

This study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.

A holistic model for Global Industry 4.0 readiness assessment

Purpose

Transformation to Industry 4.0 has become crucial for nations, and a coherent transformation strategy requires a comprehensive picture of current status and future vision. This study presents a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature.

Design/methodology/approach

A holistic approach is taken considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers. The indicators used for evaluation are standard metrics for which data are collected from reputed sources such as World Bank, United Nations Educational Scientific and Cultural Organization (UNESCO), World Economic Forum (WEF) and International Organization for Standardization (ISO), and hence internationally acceptable.

Findings

The formulated model is used to evaluate Industry 4.0 readiness of 126 economies that account for 98.25% of world’s gross national income. Observations show poor scores of most economies on innovation capability and cybersecurity dimension as compared to other 5 dimensions. In 75% countries, I4.0 readiness score is below 0.5 on a scale of 0–1(completely ready), highest being 0.65 for Denmark.

Originality/value

A systematic literature review revealed lack of assessment models discussing a nation's current status or readiness for Industry 4.0. This academic study is first of its kind.

Insights from Circular Economy Literature: A Review of Extant Definitions and Unravelling Paths to Future Research

The circular economy (CE) has become one of the prominent topics in both natural science and management literature over the last few decades. CE is a dual-loop regenerative system that focuses on the effective and efficient utilization of resources in the ecosystem, which is beneficial to environmental and economic performance optimization. Dual CE initiatives allow firms to increased resource eco-efficiency, as well as resource effectiveness. CE has profound consequences for economic and operational advantage. This reinforces the need for reflection on the definition that may provide guidelines to assess and advance the depth and diversity of the field. We aim to provide a definitional analysis of the CE and suggest future research streams to advance the existing literature. For this purpose, we employed a systematic literature review to collect related publications in the CE. As a result of this, a total of 91 papers were selected, studied, and analyzed. We proposed a sound definition of a circular economy that includes the main identified elements, organizational planning processes, customers and society, utilization of the ecosystem, and economic resource flows. Moreover, future direction agenda, in CE research, is suggested considering three research streams: (1) circular design as value creation and capture, (2) antecedents of key activities, and (3) consequences of key processes. There is limited empirical research conducted on CE, and much of the existing research focuses on theoretical, conceptual, and normative. A few empirical research studies are mainly cross-sectional in their focus and are confined to developing and emerging economies. We hope this study’s findings will extend the field of CE, in which some of the most influential information regarding CE literature is provided. This study suggests that the development of CE initiatives plays an important role in the growing digital transformation in the value chain. There have been limited research studies in the interface of circular economy and Industry 4.0. Future research studies may investigate the extent to which digital transformation can increase the implementation of CE, and their influence on digital performance management.

Supply chain integration and Industry 4.0: a systematic literature review

Purpose

The current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.

Design/methodology/approach

In this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.

Findings

The study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.

Research limitations/implications

In this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.

Originality/value

The present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Purpose

Industry 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/approach

This 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.

Findings

Nine 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/implications

Even 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 implications

This 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/value

This 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.

The mark of industry 4.0: how managers respond to key revolutionary changes

Purpose

The purpose of this study is to provide a framework of managerial responses to the Industry 4.0 phenomenon, which has impacted the productivity of Indonesian manufacturing companies while revolutionizing global industries.

Design/methodology/approach

The study employs qualitative research using the Grounded Theory Method since research in this area is still in its preliminary stages. The study elicits insights from 12 operation managers through a semi-structured interview and a focus group discussion. Using content analysis, the study formulates relationships among Industry 4.0 initiatives, its driving factors and challenges as well as critical success factors and the expected benefits.

Findings

The findings reveal that Indonesian manufacturers have engaged in Industry 4.0 initiatives: cyber-physical systems, the internet of things, Big Data and cloud computing. These initiatives require managers to adopt best practices, appoint champions as change agents, conduct training and even tailor the job qualifications of their subordinates to suit the current technology.

Research limitations/implications

The qualitative method allows an in-depth investigation that is synthesized into a conceptual framework, but this framework still needs to be empirically tested. The study is currently based on informants from large manufacturing companies. Future studies could scale up the research and validate the findings.

Practical implications

This exploratory framework could guide managers in their strategic and operational decisions while embracing the Industry 4.0 transformation inside the organization.

Originality/value

Prior studies examining the adoption of Industry 4.0 principles by Indonesian manufacturing companies are rare. Furthermore, conceptual studies dominate the existing literature related to the Industry 4.0 concept. This study attempts to fill the gap and provides a framework that is based on grounded empirical data of manufacturing companies in Indonesia, a newly industrialized economy.

Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of research. This paper reviews the literature on sustainability, Big Data, Industry 4.0 and supply chain management published since 2009 and provides a thorough insight into the field by using bibliometric and network analysis techniques. A total of 87 articles published in the past 10 years were evaluated and the top contributing authors, countries, and key research topics were identified. Furthermore, the most influential works based on citations and PageRank were obtained and compared. Finally, six research categories were proposed in which scholars could be encouraged to expand Big Data and Industry 4.0 research on SCS. This paper contributes to the literature on SCS in the age of Industry 4.0 by discussing the challenges facing current research but also, more importantly, by identifying and proposing these six research categories and future research directions.