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Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach
Opportunity as a construct has been widely examined in for-profit entrepreneurship research, but it is scarcely studied in the context of social entrepreneurship. It is being observed that many entrepreneurs venture into social enterprise because they perceive it as an opportunity. This study aims t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252175/ https://www.ncbi.nlm.nih.gov/pubmed/37362179 http://dx.doi.org/10.1007/s11205-023-03139-0 |
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author | Kaushik, Vineet Tewari, Shobha |
author_facet | Kaushik, Vineet Tewari, Shobha |
author_sort | Kaushik, Vineet |
collection | PubMed |
description | Opportunity as a construct has been widely examined in for-profit entrepreneurship research, but it is scarcely studied in the context of social entrepreneurship. It is being observed that many entrepreneurs venture into social enterprise because they perceive it as an opportunity. This study aims to address this phenomenon by extensively identifying the opportunity indicators that promote entrepreneurs to pursue social entrepreneurship. We accomplish this by employing a mixed-methods approach wherein we used both quantitative and qualitative data from experts and analysed it using a hybrid approach of Delphi rounds and the best-worst method. We identified 13 opportunity indicators from the literature, and in the first round of Delphi, four new indicators were added to the list by a panel of 24 experts drawn from industry and academia across India. In the second round of the Delphi method, 18 of the 24 experts took part and rated the importance of each indicator on a 5-point Likert scale. Depending on the availability of the experts, both rounds of Delphi were held in person and virtually. Based on the cut-off levels for standard deviation, interquartile range, and probability of occurrence, experts agreed on 16 indicators. Furthermore, a best-worst method approach was used to prioritise these indicators based on the opinions of industry and academic experts. The study used a theoretical lens of entrepreneurial opportunity and its two different views: objectively discovered and subjectively perceived. The results revealed a consensus among academicians and practitioners for objectively discovered opportunity indicators, which gave the highest priority to “institutional support” and “funding opportunities.“ |
format | Online Article Text |
id | pubmed-10252175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102521752023-06-12 Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach Kaushik, Vineet Tewari, Shobha Soc Indic Res Original Research Opportunity as a construct has been widely examined in for-profit entrepreneurship research, but it is scarcely studied in the context of social entrepreneurship. It is being observed that many entrepreneurs venture into social enterprise because they perceive it as an opportunity. This study aims to address this phenomenon by extensively identifying the opportunity indicators that promote entrepreneurs to pursue social entrepreneurship. We accomplish this by employing a mixed-methods approach wherein we used both quantitative and qualitative data from experts and analysed it using a hybrid approach of Delphi rounds and the best-worst method. We identified 13 opportunity indicators from the literature, and in the first round of Delphi, four new indicators were added to the list by a panel of 24 experts drawn from industry and academia across India. In the second round of the Delphi method, 18 of the 24 experts took part and rated the importance of each indicator on a 5-point Likert scale. Depending on the availability of the experts, both rounds of Delphi were held in person and virtually. Based on the cut-off levels for standard deviation, interquartile range, and probability of occurrence, experts agreed on 16 indicators. Furthermore, a best-worst method approach was used to prioritise these indicators based on the opinions of industry and academic experts. The study used a theoretical lens of entrepreneurial opportunity and its two different views: objectively discovered and subjectively perceived. The results revealed a consensus among academicians and practitioners for objectively discovered opportunity indicators, which gave the highest priority to “institutional support” and “funding opportunities.“ Springer Netherlands 2023-06-09 /pmc/articles/PMC10252175/ /pubmed/37362179 http://dx.doi.org/10.1007/s11205-023-03139-0 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Kaushik, Vineet Tewari, Shobha Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title | Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title_full | Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title_fullStr | Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title_full_unstemmed | Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title_short | Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach |
title_sort | modeling opportunity indicators fostering social entrepreneurship: a hybrid delphi and best-worst approach |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252175/ https://www.ncbi.nlm.nih.gov/pubmed/37362179 http://dx.doi.org/10.1007/s11205-023-03139-0 |
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