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

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Influences Of Return Migration On <strong>International</strong> Collaborative Research <strong>Network</strong>sMurakami, YukikoAcademic and Scientific <strong>Network</strong>sScientific <strong>Network</strong>s, Migration, <strong>International</strong> <strong>Network</strong>s, Knowledge Transfer, Co‐authorship <strong>Network</strong>, Collaboration <strong>Network</strong>THURS.PM1Emigration of scientists facilitates the <strong>for</strong>mation of international networks. However, are ties in such networks maintained after the scientists return to theirrespective home countries? This paper analyzes, using the data from the Web of Science, as to whether or not Japanese scientists returning from the U.S.maintain the collaborative research network ties that they <strong>for</strong>med during their stay in the U.S., and found some characteristics of the ties that are maintained.The physical distance between the U.S. and Japan can impede the transfer of tacit knowledge, which is important <strong>for</strong> research. Actually, approximately 90percent of the ties, which were <strong>for</strong>med while the Japanese scientists were living in the U.S., were severed after they returned to Japan. However, socialproximity can be a substitute <strong>for</strong> physical proximity. The ties that Japanese scientists <strong>for</strong>med with other Japanese scientists living in the U.S. are more likely tobe maintained than the ties they <strong>for</strong>med with scientists of different ethnicities. The social proximity was also measured by past experience in collaborativeresearch. The ties with collaborative research partners with whom the returnees more frequently published papers are more likely to be maintained. Inaddition, we found that other demographic features such as the type of organization one is working <strong>for</strong> and years of research experience and the field ofresearch also affect the probability of maintaining ties across borders.In<strong>for</strong>mal <strong>Network</strong>s And Organizational Per<strong>for</strong>mance: An Empirical StudyDing, Haijie; Rigby, Jacob; Lee, JeremiahIntra‐Organizational <strong>Network</strong>s and Job Per<strong>for</strong>manceTrust, Centrality, In<strong>for</strong>mation Sharing, Team Per<strong>for</strong>mance, <strong>Social</strong> <strong>Network</strong> Analysis, <strong>Network</strong> StructureTHURS.PM1This paper investigates the empirical relationship between in<strong>for</strong>mal networks and organizational per<strong>for</strong>mance. We collected both social network data andorganizational per<strong>for</strong>mance data from over 20 branches of one of the biggest multinational express delivery companies operating in China. Three in<strong>for</strong>malnetworks were mapped using a web‐based survey: in<strong>for</strong>mation flow, positive energy flow and emotional trust. Four kinds of organizational per<strong>for</strong>manceindicators were collected after 6‐months: financial per<strong>for</strong>mance, operational per<strong>for</strong>mance, customer satisfaction, and employee turnover. Analysis showedthat: (1) Average branch in‐degree, out‐degree, eigenvector centrality, betweenness centrality and density of the in<strong>for</strong>mation flow network showed significantcorrelation with all per<strong>for</strong>mance indicators. Positive energy flow and emotional trust network metrics showed a similar correlation to per<strong>for</strong>mance with theexception of financial indicators. (2) Branch E‐I index showed a significant positive correlation with turnover rate on the emotional trust network. (3) Branchtriadic ratio showed a significant correlation with customer satisfaction on all three networks. Both conceptual and practical implications will be discussed inthe paper.

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