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. (shrink)

In this study, we employed a combination of bibliometric analysis and a structured review approach to examine the social entrepreneurship (SE) research. Our bibliometric analysis involved 2517 articles containing 155,846 references and we analyzed the data in three time periods: 1990–2009, 2010–2014, and 2015–2020 to detect longitudinal trends. This analysis helped us to identify the intellectual foundation of each period and the evolution of the intellectual structure of SE research. We specifically identified 13, 9, and 11 clusters that constituted the (...) philosophical foundations of SE research for the periods 1990–2009, 2010–2014, and 2015–2020 respectively. A longitudinal comparison of three periods helped us to trace the evolution of the intellectual structure of SE research. Further, the structured review, involving 106 recent influential articles, enabled us to identify 10 recent dominant themes of SE research. Building on our bibliometric and structured review approach, we developed an organizing framework for guiding future SE research across six dimensions: ethics, individual, community, collaborative, organizational, and contextual. (shrink)

Designing a data-responsive system requires accurate input to ensure efficient results. The growth of technology in sensing methods and the needs of various kinds of data greatly impact data fusion (DF)-related study. A coordinative DF framework entails the participation of many subsystems or modules to produce coordinative features. These features are utilized to facilitate and improve solving certain domain problems. Consequently, this paper proposes a general Multiple Coordinative Data Fusion Modules (MCDFM) framework for real-time and heterogeneous data sources. We develop (...) the MCDFM framework to adapt various DF application domains requiring macro and micro perspectives of the observed problems. This framework consists of preprocessing, filtering, and decision as key DF processing phases. These three phases integrate specific purpose algorithms or methods such as data cleaning and windowing methods for preprocessing, extended Kalman filter (EKF) for filtering, fuzzy logic for local decision, and software agents for coordinative decision. These methods perform tasks that assist in achieving local and coordinative decisions for each node in the network of the framework application domain. We illustrate and discuss the proposed framework in detail by taking a stretch of road intersections controlled by a traffic light controller (TLC) as a case study. The case study provides a clearer view of the way the proposed framework solves traffic congestion as a domain problem. We identify the traffic features that include the average vehicle count, average vehicle speed (km/h), average density (%), interval (s), and timestamp. The framework uses these features to identify three congestion periods, which are the nonpeak period with a congestion degree of 0.178 and a variance of 0.061, a medium peak period with a congestion degree of 0.588 and a variance of 0.0593, and a peak period with a congestion degree of 0.796 and a variance of 0.0296. The results of the TLC case study show that the framework provides various capabilities and flexibility features of both micro and macro views of the scenarios being observed and clearly presents viable solutions. (shrink)

Om människan någon gång kommer att få förmågan att skapa nya livsformer, hur kommer det att påverka livets värde? Detta är en fråga som kan vara en källa till oro när man diskuterar konstgjort liv, men är oron befogad? I ett försök att svara på den frågan kommer jag att gå igenom några möjliga skäl till varför förmågan att skapa konstgjort liv skulle hota livets värde, och se om de verkligen ger oss skäl att oroa oss.