Sunbelt XXXI International Network for Social Network ... - INSNA

The Return Of Quality Of Social Capital And Job Skill: Gender Differences In TaiwanPeng, Li‐Hui; Hsung, Ray‐MaySocial CapitalSocial Capital, Labor Markets, GenderSAT.PM2The gender differences on the wage return has been continuing, though women have had little difference from men in terms of educational attainment. Thereare still some gender differences after school along the career paths. This study attempts to examine two mechanisms to cause the differential return bygender: quality of social capital and job skill. The data were from the 3280 cases of Social Capital Survey in Taiwan in 2004, and we only used 2407 cases ofcurrently employed respondents for our analyses. Quality of social capital was measured by the number of access to prior good social capital (accessed socialcapital before entering into current job) with positions of greater or equal 60 Treiman’s occupational prestige score. The job skill included the knowledge depth(measured by months of requiring special training to be qualified for current job besides the education obtained from school) and the knowledge creation(measured by how often respondents apply new ideas or actions at their work). Men tend to access to better quality of social capital and possess better jobskill which caused better return of income than women after controlling all other essential variables. The return of quality of social capital and job skill isgreater for men than for women. The education contributed the major return for women.The Rise And Fall Of Leaders In Leadership: A Network PerspectiveDoty, Daniel; Murase, Toshio; DeChurch, Leslie A.Academic and Scientific NetworksKnowledge Networks, Academic Networks, Leadership, Knowledge Evolution, Co‐authorship NetworkTHURS.AM1Research on leadership is one of the original and most enduring concentrations within organizational science. It has seen numerous theories and perspectivesrise and fall over more than 60 years of consistent and rigorous conceptual and empirical study. With this, a very large group of scientists have become linkedto one another through their work spent on this topic. This loose collaboration of authors, institutions, and theories may be clearly conceptualized as a singlemultimodal scientific network. Analyzing this network longitudinally in relation to corresponding events within the science (e.g., major paradigm shifts, highprofilepublications, etc.) will allow light to be shed on the life cycle of these theories, research programs, and the science as a whole. The goal of this researchis to identify the dynamic network characteristics that correspond with the development of new theories, their ingratiation into the science, and (for many)their ultimate decline. For instance, certain high‐profile publications on a topic (e.g., handbook chapters, top‐tier journal reviews, meta‐analyses, etc.) mayprovide critical points in time which drastically shift the collaboration patterns between authors and institutions. Conversely, the causality may actually bereversed, in that such high‐profile publications do not exist until a certain collaborative “tipping‐point” is reached. Through the cataloguing of the vast majorityof leadership oriented, peer reviewed journal art