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Published in: Soft Computing 3/2024

10-10-2023 | Soft computing in decision making and in modeling in economics

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

Authors: Nurgül Keleş Tayşir, Beliz Ülgen, N. Öykü İyigün, Ali Görener

Published in: Soft Computing | Issue 3/2024

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Abstract

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.

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Appendix
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Metadata
Title
A framework to overcome barriers to social entrepreneurship using a combined fuzzy MCDM approach
Authors
Nurgül Keleş Tayşir
Beliz Ülgen
N. Öykü İyigün
Ali Görener
Publication date
10-10-2023
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 3/2024
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-09293-4

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