The network structure of knowledge sharing among physicians

Quality and Quantity

Volumn 45, Issue 5, 2011, Pages 1109-1126

  Zappa, Paola ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

ERG or p* models; Healthcare; Innovation; Knowledge sharing; Social networks

Indexed keywords

EID: 80051474133     PISSN: 00335177     EISSN: 15737845     Source Type: Journal    
DOI: 10.1007/s11135-011-9494-1     Document Type: Article

References (39)

1. Barlow J., Burn J.: All Change Please. Policy Exchange, London (2008).
2. Burt S.: Social contagion and innovation: cohesion versus structural equivalence. Am. J. Sociol. 92(6), 1287-1335 (1987).
3. Burt R., Janicik G.: Social contagion and social structure. In: Iacobucci, D. (eds) Networks in Marketing, pp. 68-89. Sage, Thousand Oaks (1996).
4. Clark M., Linkletter C., Wen X., Miller E., Mor V.: Opinion networks among long-term care specialists. Med. Care Res. Rev. 67(4), 102-125 (2010).
5. Cohen W., Levinthal D.: Absorptive capacity: a new perspective on learning and innovation. Adm. Sci. Q. 35, 128-152 (1990).
6. Coleman S., Katz E., Menzel H.: Medical Innovation: A Diffusion Study. The Bobbs-Merrill Company, Indianapolis (1966).
7. Coscelli A., Shum M.: An empirical model of learning and patient spillovers in new drug entry. J. Econom. 122, 213-246 (2004).
8. Creswick, N., Westbrook, J.: Examining the socialising and problem-solving networks of clinicians on a hospital ward, working paper series. University of New South Wales (2006).
9. Doreian P., Woodard K.: Defining and locating cores and boundaries in social networks. Soc. Netw. 16, 267-293 (1994).
10. Fattore G., Salvatore D.: Network organizations of general practitioners: antecedents of formation and consequences of participation. BMC Health Serv. Res. 10(1), 118-129 (2010).
11. Fennell M., Warnecke R.: The Diffusion of Medical Innovations: An Applied Network Analysis. Plenum, New York (1988).
12. Gollop R., Whitby E., Buchanan D., Ketley D.: Influencing sceptical staff to become supporters of service improvement: a qualitative study of doctors and 'managers' views. Qual. Saf. Health Care 13, 108-114 (2004).
13. Handcock M., Gile K.: Modeling social networks from sampled data. Ann. Appl. Stat. 4(1), 5-25 (2010).
14. Hirschman E.: Innovativeness, novelty seeking, and consumer creativity. J. Consum. Res. 7(3), 283-295 (1980).
15. Kaluzny A., Ricketts T., Warnecke R., Ford L., Morrissey J., Gillings D., Sondik E., Ozer H., Goldman J.: Evaluating organizational design to assure technology transfer: the case of the community clinical oncology program. J. Natl. Cancer Inst. 81, 1717-1725 (1989).
16. Katz E., Lazarsfeld P.: Personal Influence. Free Press, Glencoe (1955).
17. Keating N., Ayanian J., Cleary P., Marsden P.: Factors affecting influential discussions among physicians: a social network analysis of a primary care practice. J. Gen. Intern. Med. 22(6), 794-798 (2007).
18. Lave J., Wenger E.: Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, Cambridge (1991).
19. Mukherjee, P.: A structural model of learning for new products, working paper series. University of Minnesota (2002).
20. Nair, H., Manchanda, P., Bhatia, T.: Asymmetric social interactions in physician prescription behavior: the role of opinion leaders, working paper series. Stanford University (2008).
21. Pattison P., Robins G.: Neighbourhood based models for social networks. Sociol. Methodol. 22, 301-337 (2002).
22. Rao C.: Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation. Proc. Camb. Philos. Soc. 44, 50-57 (1948).
23. Robins G., Elliott P., Pattison P.: Network models for social selection processes. Soc. Netw. 23, 1-30 (2001).
24. Robins G., Snijders T., Wang P., Handcock M., Pattison P.: Recent developments in exponential random graph (p*) models for social networks. Soc. Netw. 29, 192-215 (2007).
25. Schweinberger, M.: Statistical modeling of network dynamics given panel data: goodness-of-fit tests (2008, submitted for publication).
26. Snijders T.: Markov chain Monte Carlo estimation of exponential random graph models. J. Soc. Struct. 3(2), 1-40 (2002).
27. Snijders T.: Models for longitudinal network data. In: Carrington, P., Scott, J., Wasserman, S. (eds) Models and Methods in Social Network Analysis, pp. 215-247. Cambridge University Press, Cambridge (2005).
28. Snijders T.: Conditional marginalization for exponential random graph models. J. Math. Soc. 34(4), 239-252 (2010).
29. Snijders T., Pattison P., Robins G., Handcock M.: New specifications for exponential random graph models. Sociol. Methodol. 36, 99-153 (2006).
30. Strang D., Tuma N.: Spatial and temporal heterogeneity in diffusion. Am. J. Sociol. 99, 614-639 (1993).
31. Trzeciak R., Dellinger P., Abate N., Cowan R., Stauss M., Kilgannon J., Zanotti S., Parrillo J.: Translating research to clinical practice. Chest 129, 225-232 (2006).
32. Valente T.: Social network thresholds in the diffusion of innovations. Soc. Netw. 18, 69-89 (1996).
33. Valente T., Davis R.: Accelerating the diffusion of innovations using opinion leaders. Ann. Am. Acad. Political Soc. Sci. 566(1), 55-67 (1999).
34. Valente T., Pumpuang P.: Identifying opinion leaders to promote behavior change. Health Educ. Behav. 34(6), 881-896 (2007).
35. van den Bulte, C., Joshi, Y.: New product diffusion with influentials and imitators, working paper series. The Wharton School, University of Pennsylvania (2006).
36. van den Bulte C., Lilien G.: Medical innovation revisited: social contagion versus marketing effort. Am. J. Sociol. 106(5), 1409-1435 (2001).
37. Wasserman S., Pattison E.: Logit models and logistic regression for social networks: I. An introduction to Markov graphs and p*. Psychometrika 61, 401-425 (1996).
38. West E., Barron D., Dowsett J., Newton J.: Hierarchies and cliques in the social networks of health care professionals: implications for the design of dissemination strategies. Soc. Sci. Med. 48(5), 633-646 (1999).
39. P., Mariani, P.: The interplay of social interaction, individual characteristics and external influence in diffusion of innovation processes: an empirical test in medical settings. Procedia Soc. Behav. Sci. 4th & 5th UK Social Networks Conferences 10, 140-147 (2011).