Research leadership flow determinants and the role of proximity in research collaborations
Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the...
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| Veröffentlicht in: | Journal of the American Society for Information Science and Technology 2020-11, Vol.71 (11), p.1341-1356 |
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| creator | He, Chaocheng Wu, Jiang Zhang, Qingpeng |
| description | Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the factors and evolution of 5 proximity dimensions (geographical, cognitive, institutional, social, and economic) of research leadership. The data to capture research leadership consist of a set of multi‐institution articles in the fields of “Life Sciences & Biomedicine,” “Technology,” “Physical Sciences,” “Social Sciences,” and “Humanities & Arts” during 2013–2017 from the Web of Science Core Citation Database. A Tobit regression‐based gravity model indicates that the mass of research leadership of both the leading and participating institutions and the geographical, cognitive, institutional, social, and economic proximities are important factors for the flow of research leadership among Chinese institutions. In general, the effect of these proximities for research leadership flow has been declining recently. The outcome of this research sheds light on the leadership evolution and flow among Chinese institutions, and thus can provide evidence and support for grant allocation policies to facilitate scientific research and collaborations. |
| doi_str_mv | 10.1002/asi.24331 |
| format | Article |
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This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the factors and evolution of 5 proximity dimensions (geographical, cognitive, institutional, social, and economic) of research leadership. The data to capture research leadership consist of a set of multi‐institution articles in the fields of “Life Sciences & Biomedicine,” “Technology,” “Physical Sciences,” “Social Sciences,” and “Humanities & Arts” during 2013–2017 from the Web of Science Core Citation Database. A Tobit regression‐based gravity model indicates that the mass of research leadership of both the leading and participating institutions and the geographical, cognitive, institutional, social, and economic proximities are important factors for the flow of research leadership among Chinese institutions. In general, the effect of these proximities for research leadership flow has been declining recently. 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This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the factors and evolution of 5 proximity dimensions (geographical, cognitive, institutional, social, and economic) of research leadership. The data to capture research leadership consist of a set of multi‐institution articles in the fields of “Life Sciences & Biomedicine,” “Technology,” “Physical Sciences,” “Social Sciences,” and “Humanities & Arts” during 2013–2017 from the Web of Science Core Citation Database. A Tobit regression‐based gravity model indicates that the mass of research leadership of both the leading and participating institutions and the geographical, cognitive, institutional, social, and economic proximities are important factors for the flow of research leadership among Chinese institutions. In general, the effect of these proximities for research leadership flow has been declining recently. The outcome of this research sheds light on the leadership evolution and flow among Chinese institutions, and thus can provide evidence and support for grant allocation policies to facilitate scientific research and collaborations.</description><subject>Citation indexes</subject><subject>Collaboration</subject><subject>Computer Science</subject><subject>Computer Science, Information Systems</subject><subject>Evolution</subject><subject>Information Science & Library Science</subject><subject>Interpersonal communication</subject><subject>Leadership</subject><subject>Organizational structure</subject><subject>Physical sciences</subject><subject>Regression models</subject><subject>Science & Technology</subject><subject>Scientific Research</subject><subject>Social sciences</subject><subject>Statistical Analysis</subject><subject>Technology</subject><issn>2330-1635</issn><issn>2330-1643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><recordid>eNqNkE1rAyEURaW00JBm0X8gdFXKJDpqMrMMQz8CgUI_Nt2I0ScxTMZUJ6T597WZNLtCN-ri3Od9B6FrSoaUkHykohvmnDF6hno5YySjY87OT28mLtEgxhUhhJKyEDntoY8XiKCCXuIalIEQl26Dbe132EALYe0a1bQRq8bgdgk4-Bqwt3gT_Jdbu3aPXYPD7wjt61otfFCt8028QhdW1REGx7uP3h_u36qnbP78OKum80wzLmhmiFZKE1EooSkQmDDQrDRM50WpS24EY6XlqrCmpJaljQhwMUkkMaK0Y8H66Kabm0p9biG2cuW3oUlfypyL5KOc0CJRtx2lg48xgJWb4NYq7CUl8seeTPbkwV5i7zp2Bwtvo3bQaDjxSZ8gPB0plUwmuvg_Xbn2YKfy26ZN0dEx6mrY_91ITl9nXbVvS9-Rmg</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>He, Chaocheng</creator><creator>Wu, Jiang</creator><creator>Zhang, Qingpeng</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><general>Wiley Periodicals Inc</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>E3H</scope><scope>F2A</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-9885-0331</orcidid><orcidid>https://orcid.org/0000-0002-6819-0686</orcidid></search><sort><creationdate>202011</creationdate><title>Research leadership flow determinants and the role of proximity in research collaborations</title><author>He, Chaocheng ; 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| source | Business Source Complete; Access via Wiley Online Library; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Web of Science - Social Sciences Citation Index – 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
| subjects | Citation indexes Collaboration Computer Science Computer Science, Information Systems Evolution Information Science & Library Science Interpersonal communication Leadership Organizational structure Physical sciences Regression models Science & Technology Scientific Research Social sciences Statistical Analysis Technology |
| title | Research leadership flow determinants and the role of proximity in research collaborations |
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