A framework to overcome barriers to social entrepreneurship using a combined fuzzy MCDM approach

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KELEŞ TAYŞİR N., ÜLGEN B., İYİGÜN N. Ö., GÖRENER A.

Soft Computing, cilt.28, sa.3, ss.2325-2351, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 3
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s00500-023-09293-4
  • Dergi Adı: Soft Computing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, zbMATH
  • Sayfa Sayıları: ss.2325-2351
  • Anahtar Kelimeler: Barriers, Fuzzy Delphi, Fuzzy WASPAS, Improved fuzzy SWARA, Social entrepreneurship, Solutions
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

Social entrepreneurs play an essential role in innovative solutions to address the world’s most challenging societal problems. Although the value of innovative ideas is undeniable during the new venture creation process, not all creative ideas can be implemented. Many barriers hinder nascent social entrepreneurs from realizing their new ideas. The aim of this study is twofold: (1) to provide a holistic list of barriers that hinder social venture creation; and (2) to determine the solutions to overcome the detected barriers. This study employs an integrated methodology to identify barriers and solutions. First, a comprehensive literature review was conducted to determine the barriers. Following this, essential barriers were identified with the fuzzy Delphi (F-Delphi) method. Next, the weight of each barrier was calculated using the improved fuzzy step-wise weight assessment ratio analysis (IMF-SWARA). Then, fuzzy weighted aggregated sum product assessment (F-WASPAS) was used to rank solutions to overcome these barriers. The findings may help organizations advise nascent social entrepreneurs about potential obstacles, which may help reduce the number of entrepreneurs abandoning their ideas. Furthermore, a comprehensive sensitivity analysis was performed to evaluate the robustness and effectiveness of the results.