Harness the Global Impact of Big Data in Nurturing Social Entrepreneurship: A Systematic Literature Review

Harness the Global Impact of Big Data in Nurturing Social Entrepreneurship: A Systematic Literature Review

Nur Azreen Zulkefly, Norjihan Abdul Ghani, Suraya Hamid, Muneer Ahmad, Brij B. Gupta
Copyright: © 2021 |Pages: 19
DOI: 10.4018/JGIM.20211101.oa18
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Abstract

The global impact of social values, norms, and cultures set the growth and future dimensions of most businesses. In global business governess, the sustainability of social entrepreneurship is heavily dependent on peoples' opinions and their social interactions. Nowadays, social media platforms represent the big global repositories of publically available information that can be exploited by social entrepreneurs to measure and assess the social impact of their business. There is still inadequate research that focuses on assessing social entrepreneurship impact in the area of big data. This paper aims to investigate the potential of big data in global social entrepreneurship. It examines the possibility of global impact of big data in social entrepreneurship. As an outcome, this paper highlight the challenges of social entrepreneurship dealing with, how they tackle globally, big data in social innovation, and how big data analytics needs for social entrepreneurship towards achieving social goods and sustainable change.
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Introduction

Global entrepreneurship relates to the creation of a socially innovative approach aimed at solving societal problems, and they are not only focus on their personal profit (Rivera et al., 2018). According to (Chell et al., 2010), Social enterprise focuses on social activities which have encouraged a range of learning platforms and fertile environments that will generate individuals to enhance their communities' standard of living. The three very analogous terms of social entrepreneurship hold the diverse connotation of itself. Social entrepreneurship generally refers to a method or practice. Social entrepreneurs focus on the person who conducts the social entrepreneurship, and the concept of social enterprises refers to the tangible output of social entrepreneurship (Seelos & Mair, 2005).

Since the 1990s, social entrepreneurship is an appealing topic of attention among researchers. This is validated by a large number of studies in this particular domain (Saebi et al., 2019) Social entrepreneurs create innovative practice, resource strategies, and organizational structures that increase their chances of achieving effective social impact. Social entrepreneurship must be about social value creation, not just about money creation. Evaluating social enterprises' impacts is very crucial for both the enterprises themselves and the government, the government, or any organizations that highly depend on their performance. While considerable attention is paid to the value of social enterprises, there is still a lack of concern in evaluating the business performance that is directly associated with the sustainable operation of social enterprises (P. Lee & Seo, 2017). Issues concerning social entrepreneurship have been discussed for some time, but issues remain about the impact of non-profit organizations and associated industries (Bielefeld & Wolfgang Bielefeld, 2009). Social entrepreneurship is concerned about potential company impact possibilities and issues. Social entrepreneurs, of course, have a long history of their business impact (Moorthi, Srihari, 2017). History of their business impact can be used to predict the communal effect in the social entrepreneurship domain.

Although many researchers do research in the domain of social entrepreneurship, most studies focus on solving technical and business issues (Pappas et al., 2017). There is the nonexistence of studies focus on utilizing the use of big data in solving social entrepreneurship problems (Pappas et al., 2017) and (Sedkaoui & Moualdi, 2018). Social value and data analytics is still understudied (Pappas et al., 2017). In addition, the accessibility of big data allows each distinct in an evolving society to participate in financial accomplishments with respect to social development. (Matriano & Rahman Khan, 2017). The significance of big data analytics is how it can be used to identify valuable data by defining patterns, using unique algorithms, techniques, and new project alternatives (Sedkaoui & Moualdi, 2018)(Proko, 2016). One of the social entrepreneurship research agenda outlines by Bielefeld (Bielefeld & Wolfgang Bielefeld, 2009) is creativity and innovation, which can be utilized with the growth of big data. Big data thru the ability of big data analytics have the potential to change the ways in how entrepreneurs and other stakeholders make decisions (Shamim et al., 2019) (C. Lin & Kunnathur, 2019). Big data analytics refers to techniques and methodologies aimed at transforming large amounts of raw data for analytical purposes (Premkamal et al., 2019). Big data analytics surely assist entrepreneurs that lack skills, data, or information systems to conduct the analysis needed to optimize their business (ur Rehman et al., 2019)(Amankwah-Amoah & Adomako, 2019).

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