A Novel Pythogorean Fuzzy-SWARA-CRITIC-COPRAS Method for Evaluating the Barriers to Developing Business Model Innovation for Sustainability

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

Challenges to corporate social responsibility adoption for sustainability: A picture fuzzy approach

“…We let $$Z={[{z}_{{ij}}]}_{m\times n}$$ be the aggregated decision matrix; thus: $$$Z=PFW{A}_{\varpi }=\left(1-{\prod }_{k=1}^{l}{\left(1-{\mu }_{ij}^{k}\right)}^{{\varpi }_{j}},{\prod }_{k=1}^{l}{\left({\eta }_{ij}^{k}\right)}^{{\varpi }_{j}},{\prod }_{k=1}^{l}{\left({\eta }_{ij}^{k}+{\upsilon }_{ij}^{k}\right)}^{{\varpi }_{j}}-{\prod }_{k=1}^{l}{\left({\eta }_{ij}^{k}\right)}^{{\varpi }_{j}}\right),\unicode{x02007}\mathrm{for}\unicode{x02007}i=1,\text{\unicode{x02026}},n{\rm{;}}\unicode{x02007}j=1,\text{\unicode{x02026}},m.$$$ Step 5. (Saraji et al, 2022) Calculating the weights of challenges (SWARA) 5.1 Calculating the crisp value using Equation () 5.2 Challenges are ranked from the most to the least significant with regard to DE preferences (Saraji et al, 2021). 5.3 The significance of each challenge is compared to the first preferred challenge. 5.4 Calculating the comparative coefficient ( k j ) using Equation ().…”

“…Step 5. (Saraji et al, 2022) Calculating the weights of challenges (SWARA) 5.1 Calculating the crisp value using Equation () 5.2 Challenges are ranked from the most to the least significant with regard to DE preferences (Saraji et al, 2021). 5.3 The significance of each challenge is compared to the first preferred challenge. 5.4 Calculating the comparative coefficient ( k j ) using Equation ().…”

“…5.2 Challenges are ranked from the most to the least significant with regard to DE preferences (Saraji et al, 2021).…”

“…5.1 Calculating the crisp value using Equation (10) 5.2 Challenges are ranked from the most to the least significant with regard to DE preferences (Saraji et al, 2021). 5.3 The significance of each challenge is compared to the first preferred challenge.…”

Additive manufacturing process selection for automotive industry using Pythagorean fuzzy CRITIC EDAS

“…Since it is a relatively new method, studies on Pythagorean fuzzy CRITIC (PF-CRITIC) are also very limited. There are several published papers in the literature regarding the PF-CRITIC, such as assessment of 5G mobile communication technology [47], agriculture crop selection [49], developing business model innovation for sustainability [50], cybersecurity framework prioritization for healthcare organizations [51], supplier selection [52], evaluate the barriers of blockchain technology adoption in sustainable supply chain management [53], cache replacement policy selection in fog computing [54].…”