A Novel Pythogorean Fuzzy-SWARA-CRITIC-COPRAS Method for Evaluating the Barriers to Developing Business Model Innovation for Sustainability
01 Jan 2021-pp 1-31
TL;DR: In this paper, the authors proposed a novel integrated SWARA-CRITIC-COPRAS under the Pythagorean fuzzy (PF) environment to evaluate the barriers to developing the sustainable business model innovation (SBMI).
Abstract: The present study proposes a novel integrated SWARA-CRITIC-COPRAS under the Pythagorean fuzzy (PF) environment to evaluate the barriers to developing the sustainable business model innovation (SBMI). To this end, the barriers were identified through the literature review and evaluated by three decision experts using linguistic variables. The PF-SWARA and the PF-CRITIC method were applied to calculate the weight of the subjective and objective barriers, and the PF-COPRAS was applied to evaluate alternatives concerning the identified weighted barriers, and sensitivity and comparative analyses were performed to evaluate the proposed method's performance. The results indicated that “lack of awareness” is the most significant barrier to SBMI and the proposed method is accurate, applicable, and reliable due to its sensitivity to weight changes
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TL;DR: In this article, the authors identify the challenges to the adoption of Industry 4.0 in fintech companies and develop a novel Fermatean fuzzy CRITIC-COPRAS method to rank the identified challenges and evaluate the performance of companies concerning the weighted challenges based on three decision experts' support.
Abstract: Decision and policymakers are looking at the potential of Industry 4.0 smart technologies to create a green economy as the European Commission aims to deliver the European Green Deal by rethinking policies for clean energy supply. Industry 4.0 will eventually be applied to all aspects of life; however, it is necessary to identify the challenges to the adoption of Industry 4.0 for a sustainable digital transformation. In this vein, the present study aims to identify the challenges to the adoption of Industry 4.0 in fintech companies and to develop a novel Fermatean fuzzy CRITIC-COPRAS method to rank the identified challenges and evaluate the performance of companies concerning the weighted challenges based on three decision experts’ support. The results indicated that “difficulty in coordination and collaboration” is the most significant challenge to the adoption of Industry 4.0 out of the fourteen identified challenges, followed by “resistance to change” and “governmental support.” In addition, the superiority and efficiency of the proposed method were investigated through comparative analyses.
59 citations
02 Dec 2022
TL;DR: In this article , the authors proposed a novel Fermatean fuzzy multi-criteria framework for evaluating four Iranian cities' performance concerning the identified challenges and found that social plausibility is the most significant challenge to sustainable smart city development.
Abstract: Challenges to sustainable smart city development (SSCD) motivate the present research to propose a novel Fermatean fuzzy multi-criteria framework for evaluating four Iranian cities’ performance concerning the identified challenges. To this end, firstly, challenges to SSCD were identified through literature review, and then, an integrated MEREC-TOPSIS model under Fermatean fuzzy environment was proposed to determine the challenges’ weight and then rank Iranian cities. Results indicated that “social plausibility” is the most significant challenge to SSCD out of twelve identified challenges, followed by “lack of infrastructure.” On top of that, comparative studies and a sensitivity study were conducted to evaluate the efficiency and sensitivity of the proposed framework.
6 citations
TL;DR: In this article , an integrated fuzzy multi-criteria decision-making approach based on Pythagorean fuzzy sets was proposed for assessing additive manufacturing alternatives for the automotive industry, and a sensitivity analysis was performed to examine the variations against varying criterion and decision-maker weights.
Abstract: For many different types of businesses, additive manufacturing has great potential for new product and process development in many different types of businesses including automotive industry. On the other hand, there are a variety of additive manufacturing alternatives available today, each with its own unique characteristics, and selecting the most suitable one has become a necessity for relevant bodies. The evaluation of additive manufacturing alternatives can be viewed as an uncertain multi-criteria decision-making (MCDM) problem due to the potential number of criteria and candidates as well as the inherent subjectivity of various decision-experts engaging in the process. Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets that are effective in handling ambiguity and uncertainty in decision-making. This study offers an integrated fuzzy MCDM approach based on Pythagorean fuzzy sets for assessing additive manufacturing alternatives for the automotive industry. Objective significance levels of criteria are determined using the Criteria Importance Through Inter-criteria Correlation (CRITIC) technique, and additive manufacturing alternatives are prioritized using the Evaluation based on Distance from Average Solution (EDAS) method. A sensitivity analysis is performed to examine the variations against varying criterion and decision-maker weights. Moreover, a comparative analysis is conducted to validate the acquired findings.
3 citations
TL;DR: In this paper , the authors investigated the challenges of adopting renewable energy technologies in rural areas as they are more vulnerable to dealing with the above issues and proposed a novel Fermatean-VIKOR to rank four district government offices according to the weighted challenges.
3 citations
TL;DR: In this paper , a thorough review of those transport problems, where the Analytic Hierarchic Process (AHP) is used for enumerating the related criteria and alternatives, is presented.
Abstract: Transportation improvements affect technological and socio-economic development, and several scholars have researched various transportation problems. The current study aims to illustrate a thorough review of those transport problems, where the Analytic Hierarchic Process (AHP) is used for enumerating the related criteria and alternatives. A systematic review methodology, the PRISMA protocol, is applied in the review process. The contribution of this work is highlighted along with the extensions of the AHP improving decision-making support. To this end, current research demonstrates the relevant results of 58 papers published from 2003 to 2019. The results indicated that most researchers applied the conventional AHP method to deal with transportation issues, while the most critical issue was public transport, followed by logistics problems. On top of that, TOPSIS was integrated with AHP more than other MCDM methods when dealing with multi-criteria transportation problems. Moreover, the “Transportation Research Part A: Policy and Practice” journal achieved first place by publishing ten papers on the topic, and the highest number of articles was published in 2018. The results are discussed adequately, and in the conclusion, policy implications are presented.
3 citations
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TL;DR: In this paper, the authors review the current literature on business models in the contexts of technological, organizational, and social sustainability innovations and propose examples of normative 'boundary conditions' that business models should meet in order to support sustainable innovations.
Abstract: The aim of this paper is to advance research on sustainable innovation by adopting a business model perspective. Through a confrontation of the literature on both topics we find that research on sustainable innovation has tended to neglect the way in which firms need to combine a value proposition, the organization of the upstream and downstream value chain, and a financial model, in order to bring sustainability innovations to the market. Therefore, we review the current literature on business models in the contexts of technological, organizational, and social sustainability innovations. As the current literature does not offer a general conceptual definition of sustainable business models, we propose examples of normative 'boundary conditions' that business models should meet in order to support sustainable innovations. Finally, we sketch the outline of a research agenda by formulating a number of guiding questions.
1,477 citations
TL;DR: In this article, the authors review the current literature on business models in the contexts of technological, organizational and social innovation and propose examples of normative requirements that business models should meet in order to support sustainable innovations.
1,395 citations
24 Jun 2013
TL;DR: A new class of non-standard fuzzy subset called Pythagorean fuzzy subsets is introduced and the related idea of Pythgorean membership grades is introduced, with a focus on the negation operation and its relationship to the Pythagorian theorem.
Abstract: We introduce a new class of non-standard fuzzy subsets called Pythagorean fuzzy subsets and the related idea of Pythagorean membership grades. We focus on the negation operation and its relationship to the Pythagorean theorem. We compare Pythagorean fuzzy subsets with intuitionistic fuzzy subsets. We look at the basic set operations for the Pythagorean fuzzy subsets.
1,369 citations