Composition of scientific teams and publication productivity at a national science lab

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 2, 2011, Pages 270-283

  Stvilia, Besiki ^a   Hinnant, Charles C ^a   Schindler, Katy ^a   Worrall, Adam ^a   Burnett, Gary ^a   Burnett, Kathleen ^a   Kazmer, Michelle M ^a   Marty, Paul F ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE EFFORTS; DIVERSITY MEASURE; HIGH PRODUCTIVITY; NATIONAL HIGH MAGNETIC FIELD LABORATORY; NETWORK CHARACTERISTICS; RESEARCH TEAMS; SCIENTIFIC KNOWLEDGE; SEVERAL VARIABLES; TEAM DIVERSITY; TEAM PRODUCTIVITIES;

MAGNETIC FIELDS;

PRODUCTIVITY;

EID: 78951484542     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21464     Document Type: Article

References (77)

1. Adamic, L., &, Glance, N., (2005). The political blogosphere and the 2004 U.S. election: Divided they blog. In, J. Adibi, M. Grobelnik, D. Mladenic, &, P. Pantel, (Eds.), Proceedings of the Third International Workshop on Link Discovery (pp. 36-43). New York: ACM Press.
2. American Physical Society. (2010). Physics and Astronomy Classification Scheme (PACS). Retrieved from
3. Ancona, D.G., &, Caldwell, D.F., (1992). Demography and design: Predictors of new product team performance. Organization Science, 3 (3), 321-341.
4. Argote, L., &, Ophir, R., (2002). Intraorganizational learning. In, J.A.C. Baum, (Ed.), Companion to organizations (pp. 181-207). Malden, MA: Blackwell.
5. Atkins, D.E., Droegemeier, K.K., Feldman, S.I., Garcia-Molina, H., Klein, M.L., Messerschmitt, D.G., Messina, P., â∥, Wright, M.H., (2003). Revolutionizing science and engineering through cyberinfrastructure: Report of the National Science Foundation blue-ribbon advisory panel on cyberinfrastructure. Retrieved from
6. Backstrom, L., Huttenlocher, D., Kleinberg, J., &, Lan, X., (2006). Group formation in large social networks: Membership, growth, and evolution. In, J.F. Elder IV, F. Fogelman-Soulié, P.A. Flach, &, M.J. Zaki, (Eds.), Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 44-54). New York: ACM Press.
7. Baldwin, T., Bedell, M., &, Johnson, J., (1997). The social fabric of a team-based M.B.A. program: Network effects on student satisfaction and performance. The Academy of Management Journal, 40 (6), 1369-1397.
8. Barabási, A.L., &, Albert, R., (1999). Emergence of scaling in random networks. Science, 286 (5439), 509.
9. Beagrie, N., (2006). Digital curation for science, digital libraries, and individuals. The International Journal of Digital Curation, 1 (1), 3-16.
10. Birnholtz, J., &, Bietz, M., (2003). Data at work: Supporting sharing in science and engineering. In, M. Pendergast, (Ed.), Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work (pp. 339-348). New York: ACM Press.
11. Bunderson, J.S., &, Sutcliffe, K.M., (2002). Comparing alternative conceptualizations of functional diversity in management teams: Process and performance effects. Academy of Management Journal, 45 (5), 875-893.
12. Elmagarmid, A.K., Ipeirotis, P.G., &, Verykios, V.S., (2007). Duplicate record detection: A survey. IEEE Transactions on Knowledge and Data Engineering, 19 (1), 1-16.
13. Cade, B., &, Noon, B., (2003). A gentle introduction to quantile regression for ecologists. Frontiers in Ecology and the Environment, 1, 412-420.
14. Cady, S., &, Valentine, J., (1999). Team innovation and perceptions of consideration: What difference does it make ? Small Group Research, 30, 730-750.
15. Cohen, B.P., &, Zhou, X., (1991). Status processes in work groups. American Sociological Review, 56 (2), 179-188.
16. Cronin, B., (2008). On the epistemic significance of place. Journal of the American Society for Information Science and Technology, 59 (6), 1002-1006.
17. Cronin, B., &, Meho, L., (2006). Using the h-index to rank influential information scientists. Journal of the American Society for Information Science and Technology, 57 (9), 1275-1278.
18. Cronin, B., &, Overfelt, K., (1994). Citation-based auditing of academic performance. Journal of the American Society for Information Science, 45 (2), 61-73.
19. Cronin, B., Shaw, D., &, La Barre, K., (2004). Visible, less visible, and invisible work: Patterns of collaboration in 20th century chemistry. Journal of the American Society for Information Science and Technology, 55 (2), 160-168.
20. Cummings, J.N., &, Kiesler, S., (2005). Collaborative research across disciplinary and organizational boundaries. Social Studies of Science, 35 (5), 703-722.
21. Douglas, C., &, Gardner, W., (2004). Transition to self-directed work teams: Implications of transition time and self-monitoring for managers' use of influence tactics. Journal of Organizational Behavior, 25 (1), 47-65.
22. Frohlich, C., &, Resler, L., (2001). Analysis of publications and citations from a geophysics research institute. Journal of the American Society for Information Science and Technology, 52 (9), 701-713.
23. Granovetter, M., (1985). Economic action and social structureâThe problem of embeddedness. American Journal of Sociology, 91, 481-510.
24. Grewal, R., Lilien, G., &, Mallapragada, G., (2006). Location, location, location: How network embeddedness affects project success in open source systems. Management Science, 52 (7), 1043-1056.
25. Guimera, R., Uzzi, B., Spiro, J., &, Amaral, L.A.N., (2005). Team assembly mechanisms determine collaboration network structure and team performance. Science, 308 (5722), 697-702.
26. Hambrick, D.C., Cho, T.S., &, Chen, M., (1996). The influence of top management team heterogeneity on firms' competitive moves. Administrative Science Quarterly, 41 (4), 659-684.
27. Hara, N., Solomon, P., Kim, S., &, Sonnenwald, D., (2003). An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration. Journal of the American Society for Information Science and Technology, 54 (10), 952-965.
28. Haythornthwaite, C., (2002). Strong, weak, and latent ties and the impact of new media. The Information Society, 18 (5), 385-401.
29. Haythornthwaite, C., (2009). Crowds and communities: Light and heavyweight models of peer production. In, R.E. Sprague, (Ed.), Proceedings of the 42nd Hawaii International Conference on System Sciences (pp. 1-10). Los Alamitos, CA: IEEE Computer Society.
30. Hoegl, M., &, Proserpio, L., (2004). Team member proximity and teamwork in innovative projects. Research Policy, 33 (8), 1153-1165.
31. Hoffman, L., &, Maier, N., (1961). Quality and acceptance of problem solutions by members of homogeneous and heterogeneous groups. Journal of Abnormal and Social Psychology, 62, 401-407.
32. Jones, B.F., Wuchty, S., &, Uzzi, B., (2008). Multi-university research teams: Shifting impact, geography, and stratification in science. Science, 322 (5905), 1259-1262.
33. Joshi, A., &, Roh, H., (2009). The role of context in work team diversity research: A meta-analytic review. Academy of Management Journal, 52 (3), 599-628.
34. Katzenbach, J., &, Smith, D., (1993). The wisdom of teams: Creating the high-performance organization. Boston, MA: Harvard Business School Press.
35. Kerzner, H., (2003). Project management: A systems approach to planning, scheduling, and controlling. (8th ed.). Hoboken, NJ: Wiley.
36. Koenker, R., &, Hallock, K.F., (2001). Quantile regression. The Journal of Economic Perspectives, 15 (4), 143-156.
37. Kraut, R., Egido, C., &, Galegher, J., (1988). Patterns of contact and communication in scientific research collaboration. In, I. Greif, (Ed.), Proceedings of the 1988 ACM Conference on Computer-Supported Cooperative Work (pp. 1-12). New York: ACM Press.
38. Lawrence, B., (1997). The black box of organizational demography. Organization Science, 8 (1), 1-22.
39. Lee, S., &, Bozeman, B., (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35 (5), 673.
40. Lotka, A.J., (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Science, 16, 317-324.
41. March, J.G., &, Simon, H.A., (1958). Organizations. New York: Wiley.
42. Martín-Sempere, M.J., Garzõn-García, B., &, Rey-Rocha, J., (2008). Team consolidation, social integration and scientists' research performance: An empirical study in the biology and biomedicine field. Scientometrics, 76 (3), 457-482.
43. Milgram, S., (1967). The small world problem. Psychology Today, 2 (1), 60-67.
44. National High Magnetic Field Laboratory. (2010a). About the national high magnetic field lab. Retrieved from
45. National High Magnetic Field Laboratory. (2010b). All peer-reviewed publications by journal name, 2000-2010. Retrieved from
46. National High Magnetic Field Laboratory. (2010c). Annual reports. Retrieved from
47. Nelson, D., &, Rogers, D., (2004). A national analysis of diversity in science and engineering faculties at research universities. Retrieved from
48. Oetzel, J., (2001). Self-Construals, communication processes, and group outcomes in homogeneous and heterogeneous groups. Small Group Research, 32 (1), 19-54.
49. Orlikowski, W.J., (1992). The duality of technology: Rethinking the concept of technology in organizations. Organization Science, 3 (3), 398-427.
50. Owen-Smith, J., &, Powell, W., (2004). Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community. Organization Science, 15 (1), 5-21.
51. Panzarasa, P., Opsahl, T., &, Carley, K.M., (2009). Patterns and dynamics of users' behavior and interaction: Network analysis of an online community. Journal of the American Society for Information Science and Technology, 60 (5), 911-932.
52. Pelled, L.H., (1993). Work group diversity and its consequences: The role of substantive and affective conflict. Doctoral dissertation, Stanford University, CA.
53. Pelled, L.H., (1996). Demographic diversity, conflict, and work group outcomes: An intervening process theory. Organization Science, 7 (6), 615-631.
54. Pelled, L.H., Eisenhardt, K.M., &, Xin, K.R., (1999). Exploring the black box: An analysis of work group diversity, conflict, and performance. Administrative Science Quarterly, 44 (1), 1-3.
55. Porac, J.F., Wade, J.B., Fischer, H.M., Brown, J., Kanfer, A., &, Bowker, G., (2004). Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: A comparative case study of two scientific teams. Research Policy, 33 (4), 661-678.
56. Powell, W.W., Koput, K.W., &, Smith-Doerr, L., (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41 (1), 116-145.
57. Powell, W.W., Koput, K.W., Smith-Doerr, L., &, Owen-Smith, J., (1999). Network position and firm performance: Organizational returns to collaboration in the biotechnology industry. Research in the Sociology of Organizations, 16 (1), 129-159.
58. Powell, W.W., White, D.R., Koput, K.W., &, Owen-Smith, J., (2005). Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences. American Journal of Sociology, 110 (4), 1132-1205.
59. Reagans, R., Zuckerman, E., &, McEvily, B., (2004). How to make the team: Social networks vs. demography as criteria for designing effective teams. Administrative Science Quarterly, 49 (1), 101-133.
60. Rogelberg, S.G., &, Rumery, S.M., (1996). Gender diversity, team decision quality, time on task, and interpersonal cohesion. Small Group Research, 27 (1), 79-90.
61. Shaw, D., &, Vaughan, L., (2008). Publication and citation patterns among LIS faculty: Profiling a 'typical professor'. Library & Information Science Research, 30 (1), 47-55.
62. Singh, P., Tan, Y., &, Mookerjee, V., (2008). Network effects: The influence of structural social capital on open source project success. Social Science Research Network: Tomorrow's research today. Retrieved from
63. Stvilia, B., Twidale, M.B., Smith, L.C., &, Gasser, L., (2008). Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology, 59 (6), 983-1001.
64. Sonnenwald, D., Whitton, M., &, Maglaughlin, K., (2003). Evaluating a scientific collaboratory: Results of a controlled experiment. ACM Transactions on Computer-Human Interaction, 10 (2), 150-176.
65. Sundstrom, E., de Meuse, K., &, Futrell, D., (1990). Work teams. American Psychologist, 45, 120-132.
66. Teachman, J.D., (1980). Analysis of population diversity: Measures of qualitative variation. Sociological Methods & Research, 8 (3), 341-362.
67. Thorsteinsdõttir, O.H., (2000). External research collaboration in two small science systems. Scientometrics, 49 (1), 145-160.
68. Tuckman, B.W., &, Jensen, M.A.C., (1977). Stages of small-group development revisited. Group and Organization Management, 2 (4), 419.
69. Uzzi, B., (1997). Social structure and competition in interfirm networks: The problem of embeddedness. Administrative Science Quarterly, 42 (1), 35-67.
70. Wasserman, S., &, Faust, K., (1994). Social network analysis: Methods and applications. Cambridge, United Kingdom: Cambridge University Press.
71. Watts, D.J., &, Strogatz, S.H., (1998). Collective dynamics of 'small-world' networks. Nature, 393 (6684), 440-442.
72. Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., &, Haythornthwaite, C., (1996). Computer networks as social networks: Collaborative work, telework, and virtual community. Annual Review of Sociology, 22, 213-238.
73. Wuchty, S., Jones, B.F., &, Uzzi, B., (2007). The increasing dominance of teams in production of knowledge. Science, 316 (5827), 1036-1039. DOI:10.1126/science.1136099 (Pubitemid 46804914)
74. Yang, H.L., &, Tang, J.H., (2004). Team structure and team performance in IS development: A social network perspective. Information and Management, 41 (3), 335-349.
75. Yuan, Y.C., &, Gay, G., (2006). Homophily of network ties and bonding and bridging social capital in computer-mediated distributed teams. Journal of Computer Mediated Communication, 11 (4), 1062-1084.
76. van Rijsbergen, C., (1979). Information retrieval. London: Butterworths. Retrieved from
77. Zenger, T.R., &, Lawrence, B.S., (1989). Organizational demography: The differential effects of age and tenure distributions on technical communication. The Academy of Management Journal, 32 (2), 353-376.