Identification of Variables in Predicting Trends in Social Entrepreneurship

Abstract

Abstract Social entrepreneurship can be utilized with the emergence of big data analytics. Data analytics can assist entrepreneurs who do not have the expertise, data, and systems to perform the analysis necessary so that it can provide predictions in order to optimize their business. Although research has been done showing the prediction variables in commercial entrepreneurship, but the variables cannot be simply used to tackle the prediction in social entrepreneurship. Prediction in social entrepreneurship is different with commercial entrepreneurship. The variables used in predicting commercial entrepreneurship primary focused in measuring the economic returns meanwhile social entrepreneurship primary focus in social returns. Predicting social impact is a good form of action for social entrepreneurs which may help them in decision making and keep their business sustainable. This study synthesizes the variables which can be used in predicting social impact in social entrepreneurship. As an outcome of this research, the paper highlights the variables which can be used in predicting social impacts and the contributions are it can enrich the knowledge of researchers and social entrepreneurs in term of the prediction of social entrepreneurship impact.

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