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Mapping the Intellectual Structure of Social Entrepreneurship Research: A Citation/Co-citation Analysis

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Abstract

In this paper, we employ bibliometric analysis to empirically analyse the research on social entrepreneurship published between 1996 and 2017. By employing methods of citation analysis, document co-citation analysis, and social network analysis, we analyse 1296 papers containing 74,237 cited references and uncover the structure, or intellectual base, of research on social entrepreneurship. We identify nine distinct clusters of social entrepreneurship research that depict the intellectual structure of the field. The results provide an overall perspective of the social entrepreneurship field, identifying its influential works and analysing scholarly communication between these works. The results further aid in clarifying the overall centrality features of the social entrepreneurship research network. We also examine the integration of ethics into social entrepreneurship literature. We conclude with a discussion on the structure and evolution of the social entrepreneurship field.

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Notes

  1. For this article, the methodology used is document co-citation analysis. Hence, all subsequent mentions of co‑citation analysis in this article refer to document co-citation.

  2. There is no methodological guide available in the literature regarding choosing the threshold point for the number of documents to be analyzed (Eom 2009). This choice depends on the generation of a co-citation matrix that is suited for statistical treatment or graphical illustration. The same argument is expressed in other papers on bibliometric analysis, such as García-Lillo et al. (2017a, p. 1806) and Schildt et al. (2006, p. 401). Few papers have determined the threshold point based on the “stress” values obtained from the multi-dimensional scaling method (e.g. Pilkington and Meredith 2009; Ramos-Rodríguez and Ruiz-Navarro 2004). If the stress value is below a specific value, it can be considered a good fit. Kruskal (1964) recommends interpreting stress values as follows: 0 = perfect; 0.025 = excellent; 0.05 = good; 0.1 = fair; 0.2 = poor. In our case, for a threshold value of 30, we received a stress value of 0.05588, which indicates a good fit.

  3. For space constraints, we do not discuss each of the clusters emerging in the periods of 2006–2011 and 2012–2017.

  4. List of core documents identified through social network analysis: Alvord et al. (2004), Austin et al. (2006), Bacq and Janssen (2011), Battilana and Dorado (2010), Bornstein (2007), Chell (2007), Corner and Ho (2010), Dacin et al. (2010), Dacin et al. (2011), Dart (2004), Dees (1998a, b), Di Domenico et al. (2010), Dorado (2006), Drayton (2002), Eisenhardt (1989), Haugh (2007), Leadbeater (1997), Mair and Marti (2006), Mair and Marti (2009), Martin and Osberg (2007), Nicholls (2006), Nicholls (2010), Peredo and McLean (2006), Santos (2012), Seelos and Mair (2005), Shane and Venkatraman (2000), Sharir and Lerner (2006), Shaw and Carter (2007), Short et al. (2009), Thompson (2002), Thompson et al. (2000), Townsend and Hart (2008), Tracey et al. (2011), Weerawardena and Mort (2006), Yin (1994), Zahra et al. (2009).

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Hota, P.K., Subramanian, B. & Narayanamurthy, G. Mapping the Intellectual Structure of Social Entrepreneurship Research: A Citation/Co-citation Analysis. J Bus Ethics 166, 89–114 (2020). https://doi.org/10.1007/s10551-019-04129-4

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