Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Chen, Qingmei; Zhang, Wei; Jin, Nanshun; Wang, Xiaocheng; Dai, Peiru

doi:10.3390/su142013038

Cited by 13 publications

(5 citation statements)

References 50 publications

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“…Wen et al (2019) used OLS+ robust standard error method to analyze the mechanism between digital economy and regional innovation capability [62]. Chen et al (2022) evaluated the digital transformation of manufacturing enterprises with DEMATEL [63]. Fan and Xin (2022) evaluated the electronic information MI at the value chain level by using analytic hierarchy process [64].…”

Section: Dgi Evaluation Methodsmentioning

confidence: 99%

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Hu,

Sun,

Yin

et al. 2023

Environ. Res. Commun.

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Under the current ‘double carbon’ policy, the building materials manufacturing industry has seriously restricted the improvement of social and environmental benefits. Digital green innovation (DGI) in photovoltaic building materials enterprises (PBMES) plays a crucial role in solving the problems of high-quality environmental and economic development. In order to make the DGI of PBMES more effective, it is very critical to evaluate the performance of the DGI activities of PBMES. First, the evaluation index system is constructed. Then, it constructs the theoretical framework of the DGI performance evaluation of PBMES. After that, on the basis of combining various evaluation methods, a combination evaluation model based on compatibility and consistency was constructed and the convergence test and consistency test of the combination evaluation results were carried out by means of the variance method and Spearman rank correlation coefficient, which verified the scientificity and validity of the method. Finally, using the evaluation model, 16 PBMES were empirically studied. It reflected that the DGI performance evaluation index system of PBMES is composed of four indexes, namely, technology input, economic output, scientific and technological output, and social effect. The key factors affecting the DGI performance of PBMES are the investment in talent training, the proportion of digital technology in green products, the success rate of digital innovation product development increased by DGI cooperation, and the digital level of adopting environmental management system. This article combines consistency-based evaluation methods to not only obtain reasonable evaluation results, but also fully utilize multi-level methods to better describe the evaluation object. The means provided in this article are a new way to solve the DGI performance evaluation of PBMES.

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Section: Dgi Evaluation Methodsmentioning

confidence: 99%

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Hu,

Sun,

Yin

et al. 2023

Environ. Res. Commun.

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“…Digitalization of procurement is a key issue within the supply chain [11]. The digital transformation of procurement is not limited only to large companies [12,13]. Digital transformation brings with it a number of obstacles, and the cost of acceptance can be a limiting factor [14].…”

Section: Literature Overviewmentioning

confidence: 99%

A Risk-Aware Approach to Digital Procurement Transformation

Dudić,

Vrhovac,

Vulanović

et al. 2024

Sustainability

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As the digital procurement transformation continues to evolve, it is crucial to adopt a risk-aware approach to ensure successful outcomes. This paper delves into the necessity of a risk-aware approach to digital procurement transformation, specifically focusing on the role of professional procurement management and the significance of supplier partnerships in the digital environment. The research aimed to examine the critical role of risk management in the digital transformation of procurement. A total of 318 respondents from Serbia participated in the study. The role of professional management in procurement must encompass risk management to guarantee success in digital procurement transformation. Furthermore, the study identified that adequate preparation, information, and training for individuals involved are crucial for a seamless transition to digital procurement. The digital transformation of procurement contributes to sustainability by enhancing efficiency, transparency, and collaboration across the supply chain, ultimately fostering environmentally conscious practices and responsible resource management. In summary, the research underscores the need for a comprehensive and risk-aware approach to digital procurement transformation, considering the pivotal roles of procurement professionals, supplier partnerships, and the integration of new technologies.

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“…Title Assessing the Maturity Level of Saint Petersburg's Digital Government [41] A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management [42] Monitoring Index System for Sectors' Digital Transformation and Its Application in China [43] Gold Prospectivity Mapping in the Sonakhan Greenstone Belt, Central India: A Knowledge-Driven Guide for Target Delineation in a Region of Low Exploration Maturity [44] A Measuring Tool for the Digital Maturity of Small and Medium-Sized Enterprises [45] Proposing a digital identity management framework: A mixed-method approach [46] Choosing the type of business model to implement the digital transformation strategy of a network enterprise [47] Digital Transformation Evaluation for Small-and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP [48] Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies [49] Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers Study on the Digital Transformation Capability of Cost Consultation Enterprises Based on Maturity Model [50] CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries [51] Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches [52] Table 2. Studies related to digital maturity models and fuzzy logic group by category.…”

Section: Yearmentioning

confidence: 99%

Group Decision-Making Model Based on 2-Tuple Fuzzy Linguistic Model and AHP Applied to Measuring Digital Maturity Level of Organizations

Díaz

Salvador

2023

Systems

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In the digital era, companies have experienced a progressive change in their business models, which has led them to develop greater agility to adapt to changing environments, and the necessity to properly manage the group decision making in these companies is patent. This paper shows how fuzzy models are utilized in group decision making. In this context, one of the most important group decisions to be adopted is how to manage the digital transformation of the company, drawing up the best possible roadmap. To achieve this goal, this paper proposes a new methodology improvement of group decision making based on a fuzzy 2-tuple linguistic model and the analytic hierarchy process (AHP) method. The suggested methodology proposes the calculation of the digital maturity level (DML) of companies based on five of the most cited and agreed upon criteria in the existing literature. The methodology proposed in this paper was tested and validated for the business case of Spanish SMEs through three different clusters to derive global recommendations tailored to each specific cluster and company segments, using a sample of 1428 companies. The main fundings reveal that the digital maturity level directly impacts on the size of the company and its digital mindset in the sense of driving change management processes. As future works, authors recommend extending the model to any industry using the proposed methodology and evaluate disruptive technologies such as artificial intelligence (AI) in supporting the digital transformation of SMEs.

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Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Cited by 13 publications

References 50 publications

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

A Risk-Aware Approach to Digital Procurement Transformation

Group Decision-Making Model Based on 2-Tuple Fuzzy Linguistic Model and AHP Applied to Measuring Digital Maturity Level of Organizations

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