Exploring the Determinants of Industry 4.0 Development Using an Extended SWOT Analysis: A Regional Study

Szum, Katarzyna; Nazarko, Joanicjusz

doi:10.3390/en13225972

Cited by 17 publications

(18 citation statements)

References 79 publications

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“…Even though the analysis of Refs. [7,8] determines the regional development potential in a well structured way, the NUTS 2-classified and multi-source data analyses are still missing. Therefore, we see the potential in developing a solely open data indicator-based I4.0+ index to measure the NUTS 2 regional readiness for I4.0 implementation and, as a result support decision-making processes.…”

Section: Plos Onementioning

confidence: 99%

“…This approach can result in the long-term sustainability of economic growth, reducing environmental risks and ecological degradation as well as improving human welfare and social equity [6]. "To support policymaking processes, it is necessary to develop analytical tools exploring the determinants of the Industry 4.0 development" [7].…”

Section: Introductionmentioning

confidence: 99%

“…A decision support tool needs to be developed for I4.0+ projects to evaluate regional I4.0 performance. Recent studies have proven the potential of defining and measuring regional development status through indicator system assessment [7,8]. Therefore, this paper aims to explore this potential and create a suitable tool to measure the I4.0 readiness of regions.…”

Section: Introductionmentioning

confidence: 99%

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Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model

2021

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This paper aims to identify the regional potential of Industry 4.0 (I4.0). Although the regional background of a company significantly determines how the concept of I4.0 can be introduced, the regional aspects of digital transformation are often neglected with regard to the analysis of I4.0 readiness. Based on the analysis of the I4.0 readiness models, the external regional success factors of the implementation of I4.0 solutions are determined. An I4.0+ (regional Industry 4.0) readiness model, a specific indicator system is developed to foster medium-term regional I4.0 readiness analysis and foresight planning. The indicator system is based on three types of data sources: (1) open governmental data; (2) alternative metrics like the number of I4.0-related publications and patent applications; and (3) the number of news stories related to economic and industrial development. The indicators are aggregated to the statistical regions (NUTS 2), and their relationships analyzed using the Sum of Ranking Differences (SRD) and Promethee II methods. The developed I4.0+ readiness index correlates with regional economic, innovation and competitiveness indexes, which indicates the importance of boosting regional I4.0 readiness.

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Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model

2021

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“…The observed changes in the energy prices influence not only organizations but also have an impact on the countries and international policy [2]. The development of different digital technologies and strategies in the energy sector can also cover the growing energy need [3,4] and can support the transformation towards clean and nuclear or more sustainable and renewable technologies [5,6]. Therefore, the importance of the energy sector is still growing.…”

Section: Introductionmentioning

confidence: 99%

“…Two research questions were formulated as the result of the literature review and were addressed in the reference Hellwig's method analysis of secondary Eurostat data. This paper is based on the conviction that a strategic management framework is fundamental for any business sector transformation and decision-making process [3,5,6]. The method adopted in this paper is inference literature analysis [13,14] based scientific literature of the subject complemented by the statistical analysis called reference method analysis [15,16] or the Hellwig method [16,17].…”

Section: Introductionmentioning

confidence: 99%

Digitalization Business Strategies in Energy Sector: Solving Problems with Uncertainty under Industry 4.0 Conditions

et al. 2021

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Digital transformation is a concept based on the use of digitalization and digitization. Digitalization leads to change of business models and provides a competitive advantage also in the energy sector. The process of change towards a digital business requires a specific strategy type, aimed to solve problems with uncertainty caused by Industry 4.0 implementation. This paper aims to propose a theoretical model combining different digitalization strategies and business models. Their theoretical foundations were discussed in the literature review part and related empirical research questions were attempted to be answered by the reference method analysis. The quantitative method of analysis was based on the secondary data from Eurostat for all EU member states and backed the theoretical part in terms of ICT variables. The novelty of this research is based on Hellwig’s reference method used in management sciences and the presented managerial implications. The discussed challenges of the energy sector are related to the digital strategy implementation, relationships between digital transformation and business models, and solutions for such issues as strategy communication and new roles for managers, who should become digital leaders in the energy sector organizations. The main consequence of the proposed model in this study, for the energy sector companies’ managers, is that uncertainty in modern energy sector organizations is more related to employees and their technical skills than implemented ICT itself.

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Technology adaptation in sugarcane supply chain based on a novel p, q Quasirung Orthopair Fuzzy decision making framework

Biswas,

Pamucar,

Simic

2024

Sci Rep

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The present paper contributes to the literature in two ways. First, it develops a novel p, q Quasirung Orthopair Fuzzy (p, q QOF) based group decision making framework to modify a recently developed multi-criteria decision making (MCDM) model such as Comparisons between Ranked Criteria (COBRAC). Second, the paper ruminates on the Strength-Weakness-Opportunity-Threat (SWOT) of the sugarcane supply chain (SSC) in India vis-à-vis adaptation of the advanced technologies featuring Industry 4.0. To set the sub-factors of various dimensions of SWOT, the theoretical ground of Technology-Organization-Environment (TOE) framework has been used. The sub-factors of SWOT have been derived through an informal in-depth discussion with the experts of the sugar industry. Then using a Likert five-point linguistic scale the experts rated the sub-factors based on their relative importance. To determine the weights the modified COBRAC method has been applied. In subsequent stages the reliability of the model has been tested and sensitivity analysis has been carried out to check the stability of the result. The analysis reveals that while experience, by-product utilization and high demand provides strength and create opportunities for SSC, the areas of concern are lack of variety, fragmented nature of supply chains, shortage of next-gen talent and inadequate infrastructure. However, there are enough promises for SSC. The paper shall provide impetus to strategic decision makers for the sugar industry and puts forth a new decision-making framework for the analysts.

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Exploring the Determinants of Industry 4.0 Development Using an Extended SWOT Analysis: A Regional Study

Cited by 17 publications

References 79 publications

Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model

Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model

Digitalization Business Strategies in Energy Sector: Solving Problems with Uncertainty under Industry 4.0 Conditions

Technology adaptation in sugarcane supply chain based on a novel p, q Quasirung Orthopair Fuzzy decision making framework

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