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The future of social entrepreneurship: Modelling and predicting social impact

Purpose Predicting the impact of social entrepreneurship is crucial as it can help social entrepreneurs to determine the achievement of their social mission and performance. However, there is a lack of existing social entrepreneurship models to predict social enterprises' social impacts. This p...

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Main Authors:	Zulkefly, Nur Azreen, Abdul Ghani, Norjihan, Chin, Christie Pei-Yee, Hamid, Suraya, Abdullah, Nor Aniza
Format:	Article
Published:	Emerald Group Publishing Ltd 2022
Subjects:	HB Economic Theory
Online Access:	http://eprints.um.edu.my/42437/
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spelling	my.um.eprints.424372023-10-20T01:55:15Z http://eprints.um.edu.my/42437/ The future of social entrepreneurship: Modelling and predicting social impact Zulkefly, Nur Azreen Abdul Ghani, Norjihan Chin, Christie Pei-Yee Hamid, Suraya Abdullah, Nor Aniza HB Economic Theory Purpose Predicting the impact of social entrepreneurship is crucial as it can help social entrepreneurs to determine the achievement of their social mission and performance. However, there is a lack of existing social entrepreneurship models to predict social enterprises' social impacts. This paper aims to propose the social impact prediction model for social entrepreneurs using a data analytic approach. Design/methodology/approach This study implemented an experimental method using three different algorithms: naive Bayes, k-nearest neighbor and J48 decision tree algorithms to develop and test the social impact prediction model. Findings The accurate result of the developed social impact prediction model is based on the list of identified social impact prediction variables that have been evaluated by social entrepreneurship experts. Based on the three algorithms' implementation of the model, the results showed that naive Bayes is the best performance classifier for social impact prediction accuracy. Research limitations/implications Although there are three categories of social entrepreneurship impact, this research only focuses on social impact. There will be a bright future of social entrepreneurship if the research can focus on all three social entrepreneurship categories. Future research in this area could look beyond these three categories of social entrepreneurship, so the prediction of social impact will be broader. The prospective researcher also can look beyond the difference and similarities of economic, social impacts and environmental impacts and study the overall perspective on those impacts. Originality/value This paper fulfills the need for the Malaysian social entrepreneurship blueprint to design the social impact in social entrepreneurship. There are none of the prediction models that can be used in predicting social impact in Malaysia. This study also contributes to social entrepreneur researchers, as the new social impact prediction variables found can be used in predicting social impact in social entrepreneurship in the future, which may lead to the significance of the prediction performance. Emerald Group Publishing Ltd 2022-03 Article PeerReviewed Zulkefly, Nur Azreen and Abdul Ghani, Norjihan and Chin, Christie Pei-Yee and Hamid, Suraya and Abdullah, Nor Aniza (2022) The future of social entrepreneurship: Modelling and predicting social impact. Internet Research, 32 (2, SI). pp. 640-653. ISSN 1066-2243, DOI https://doi.org/10.1108/INTR-09-2020-0497 <https://doi.org/10.1108/INTR-09-2020-0497>. 10.1108/INTR-09-2020-0497
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	HB Economic Theory
spellingShingle	HB Economic Theory Zulkefly, Nur Azreen Abdul Ghani, Norjihan Chin, Christie Pei-Yee Hamid, Suraya Abdullah, Nor Aniza The future of social entrepreneurship: Modelling and predicting social impact
description	Purpose Predicting the impact of social entrepreneurship is crucial as it can help social entrepreneurs to determine the achievement of their social mission and performance. However, there is a lack of existing social entrepreneurship models to predict social enterprises' social impacts. This paper aims to propose the social impact prediction model for social entrepreneurs using a data analytic approach. Design/methodology/approach This study implemented an experimental method using three different algorithms: naive Bayes, k-nearest neighbor and J48 decision tree algorithms to develop and test the social impact prediction model. Findings The accurate result of the developed social impact prediction model is based on the list of identified social impact prediction variables that have been evaluated by social entrepreneurship experts. Based on the three algorithms' implementation of the model, the results showed that naive Bayes is the best performance classifier for social impact prediction accuracy. Research limitations/implications Although there are three categories of social entrepreneurship impact, this research only focuses on social impact. There will be a bright future of social entrepreneurship if the research can focus on all three social entrepreneurship categories. Future research in this area could look beyond these three categories of social entrepreneurship, so the prediction of social impact will be broader. The prospective researcher also can look beyond the difference and similarities of economic, social impacts and environmental impacts and study the overall perspective on those impacts. Originality/value This paper fulfills the need for the Malaysian social entrepreneurship blueprint to design the social impact in social entrepreneurship. There are none of the prediction models that can be used in predicting social impact in Malaysia. This study also contributes to social entrepreneur researchers, as the new social impact prediction variables found can be used in predicting social impact in social entrepreneurship in the future, which may lead to the significance of the prediction performance.
format	Article
author	Zulkefly, Nur Azreen Abdul Ghani, Norjihan Chin, Christie Pei-Yee Hamid, Suraya Abdullah, Nor Aniza
author_facet	Zulkefly, Nur Azreen Abdul Ghani, Norjihan Chin, Christie Pei-Yee Hamid, Suraya Abdullah, Nor Aniza
author_sort	Zulkefly, Nur Azreen
title	The future of social entrepreneurship: Modelling and predicting social impact
title_short	The future of social entrepreneurship: Modelling and predicting social impact
title_full	The future of social entrepreneurship: Modelling and predicting social impact
title_fullStr	The future of social entrepreneurship: Modelling and predicting social impact
title_full_unstemmed	The future of social entrepreneurship: Modelling and predicting social impact
title_sort	future of social entrepreneurship: modelling and predicting social impact
publisher	Emerald Group Publishing Ltd
publishDate	2022
url	http://eprints.um.edu.my/42437/
_version_	1781704643494019072
score	13.211869

The future of social entrepreneurship: Modelling and predicting social impact

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