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

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

Towards a precise understanding of social entrepreneurship : an integrated bibliometric–machine learning based review and research agenda

This paper focuses on building a more precise and comprehensive understanding of the state of social entrepreneurship (SE) research by using an integrated bibliometric and unsupervised machine learning approach. Bibliometric analysis, along with Latent Dirichlet Allocation (LDA) for topic modeling enables us to identify key trends and themes in the SE domain. This approach is superior to tools and methods used in the past, which primarily employed systematic literature reviews and bibliometric analysis. While systematic manual literature reviews become impractical as the literature grows, bibliometric analysis focuses on the most cited articles, ignoring recent influential work, suffering from citation biases, and giving more weight to impact over thematic discovery. The methodology used by us overcomes these issues by first extracting large amounts of information through advanced computational methods and then using unsupervised machine learning to discover the latent themes and topics in this large collection of publications. This research uses the Scopus and Web of Science (WoS) databases to extract corpora of 3844 texts (titles, abstracts, and keywords) from published research on SE. We decipher the key trends in the literature and segregate them into three broad categories – individual attributes and motivation, organizational actions, and institutional conditions and development, with 21 sub-topics to enhance the understanding of this field of inquiry. This study is the first in the entrepreneurship domain to use this integrated approach to review the literature, and the findings lay the groundwork for future research

Geographical distribution of cervical cancer in Odisha: A 5-year retrospective study at a regional cancer center

Background: Cancer cervix and breast are the two major female health problems in India. A hospital-based, 5-year (2010–2014) retrospective study was conducted at a regional cancer center of Odisha to analyze the present burden of cancer cervix in this state, which has a population of more than 45.5 million at present. Materials and Methods: All the patients suffering from cancer cervix that was treated by radiotherapy during 2010–2014 at this center were analyzed year wise for age, stage of disease, and native area. Results: Based on the Census 2011 data, it was calculated and found that from the low-literacy area on an average of 4.62 cervical cancer patients per million, from the medium-literacy area 6.56 patients per million, and from high-literacy area 19.11 patients per million of population have received radiotherapy in this hospital. More than 60% of patients with cervical cancer were from stage IIIB and in the age group of 50–55 years. Discussion: Odisha has 83.7% female population in rural areas with literacy rate below 50%. Due to lack of awareness and unavailability of cancer care facilities at their reach, they mainly depend on various alternative medicines in unscientific manner for their health care. Conclusion: Strengthening of existing regional cancer center, development of oncology wings in all medical college hospitals by providing basic radiotherapy facilities, emphasizing more on district cancer control programs, decentralizing of NGO schemes, and facilitating with more cancer screening and awareness programs may help better registration, prevention, and treatment of cancer in Odisha

Conditional acceptance of digitized business model innovation at the BoP: A stakeholder analysis of eKutir in India

The current research explores the contingencies behind the acceptance or rejection of digitized business model innovation at the Bottom of the Pyramid (BoP). Building on the existing literature on business model innovation and using the lens of stakeholder theory, we explore the contingencies that decide the success or failure of digitized business models at the BoP. We conducted an inductive case study of eKutir, an Indian social enterprise that uses a digital platform to deliver value for farmers in Orissa. Our analysis reveals that stakeholder's stability and stakeholder's incentives are the critical contingencies deciding the conditional acceptance of the digitized business model innovation. Our results also confirm that accessibility, availability, affordability, awareness and acceptability are the most important factors contributing to the stakeholder's adoption of digitized business model innovation. Further, we infer that age, respect, power and authority are key differentiating factors contributing to stakeholder's stability which can significantly influence the acceptance of digitized business model innovation. We conclude with a framework that can guide the successful implementation of digitized business model innovation at the BoP