Diffusion of competing innovations: The effects of network structure on the provision of healthcare

JASSS

Volumn 13, Issue 4, 2010, Pages

  Dunn, Adam G ^a   Gallego, Blanca ^a  

^a NONE

Author keywords

Agent based modeling; Health policy; Innovation diffusion; Scale free networks

Indexed keywords

EID: 78449283995     PISSN: 14607425     EISSN: None     Source Type: Journal    
DOI: 10.18564/jasss.1690     Document Type: Article

References (61)

1. ABRAHAMSON, E and Rosenkopf, L (1997) Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation, Organization Science, 8 (3), 289-309. [doi:10.1287/orsc.8.3.289]
2. ACHILLADELIS, B and Antonakis, N (2001) The dynamics of technological innovation: the case of the pharmaceutical industry, Research Policy, 30 (4), 535-88. [doi:10.1016/S0048-7333(00)00093-7]
3. ANGELL, M (2008) Industry-Sponsored Clinical Research: A Broken System, Journal of the American Medical Association, 300 (9), 1069-71.
4. ATUN, R A et al. (2007) Diffusion of complex health innovations--implementation of primary health care reforms in Bosnia and Herzegovina, Health Policy and Planning, 22 (1), 28-39. [doi:10.1093/heapol/czl031]
5. BARABÁSI, A-L and Albert, R. (1999) Emergence of Scaling in Random Networks, Science, 286 (5439), 509-12. [doi:10.1126/science.286.5439.509]
6. BASS, F M (1969) A New Product Growth for Model Consumer Durables, Management Science, 15 (5), 215-27. [doi:10.1287/mnsc.15.5.215]
7. BASS, F M (2004) Comments on A New Product Growth for Model Consumer Durables: The Bass Model, Management Science, 50 (12), 1833-40. [doi:10.1287/mnsc.1040.0300]
8. BECK, R et al. (2008) Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services, Information Systems Frontiers, 10 (4), 415-29. [doi:10.1007/s10796-008-9100-9]
9. BEMMAOR, A C and Lee, J (2002) The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates, Marketing Science, 21 (2), 209-20. [doi:10.1287/mksc.21.2.209.151]
10. BOHLMANN, J D, Golder, P N, and Mitra, D (2002) Deconstructing the Pioneer's Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety, Management Science, 48 (9), 1175-95. [doi:10.1287/mnsc.48.9.1175.175]
11. BRAITHWAITE, J, Runciman, W B, and Merry, A F (2009) Towards safer, better healthcare: harnessing the natural properties of complex sociotechnical systems, Quality and Safety in Health Care, 18 (1), 37-41. [doi:10.1136/qshc.2007.023317]
12. BULTE, C, and Stremersch, S (2004) Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test, Marketing Science, 23 (4), 530-44. [doi:10.1287/mksc.1040.0054]
13. CAIN, M and Mittman, R (2002), Diffusion of Innovation in Health Care, iHealth Reports (Oakland, California: California Healthcare Foundation).
14. CHOI, H, Kim, S-H, and Lee, J (2010) Role of network structure and network effects in diffusion of innovations, Industrial Marketing Management, 39 (1), 170-77. [doi:10.1016/j.indmarman.2008.08.006]
15. COHEN, F J. (2006) 'Entry order as a consideration for innovation strategies', Nature Reviews Drug Discovery, 5 (4), 285-94. [doi:10.1038/nrd2009]
16. COLEMAN, J, Katz, E, and Menzel, H (1957) The Diffusion of an Innovation Among Physicians, Sociometry, 20 (4), 253-70. [doi:10.2307/2785979]
17. COLEMAN, J, Katz, E, and Menzel, H (1966) Medical Innovation: A Diffusion Study (Indianapolis: The Bobbs-Merrill Company).
18. CORMEN, T, Leiserson, C, and Rivest, R (1990) Introduction to Algorithms (The MIT Press).
19. CORROCHER, N and Fontana, R (2006) Expectations, Network Effects and Timing of Technology Adoption: Some Empirical Evidence from a Sample of SMEs in Italy, SPRU Electronic Working Paper Series (University of Sussex, SPRU - Science and Technology Policy Research).
20. CRESWICK, N and Westbrook, J (2010) Social network analysis of medication advice-seeking interactions among staff in an Australian hospital, International Journal of Medical Informatics, 79 (6), e116-e25. [doi:10.1016/j.ijmedinf.2008.08.005]
21. CRESWICK, N, Westbrook, J, and Braithwaite, J (2009) Understanding communication networks in the emergency department, BMC Health Services Research, 9 (1), 247. [doi:10.1186/1472-6963-9-247]
22. EBEL, H, Mielsch, L-I, and Bornholdt, S (2002) Scale-free topology of e-mail networks, Physical Review E, 66 (3), 035103. [doi:10.1103/PhysRevE.66.035103]
23. ERDÖS, P and Rényi, A (1959) On random graphs, Publicationes Mathematicae, 6, 290-97.
24. FATTORE, Giovanni, et al. (2009) Social network analysis in primary care: The impact of interactions on prescribing behaviour, Health Policy, 92 (2-3), 141-48. [doi:10.1016/j.healthpol.2009.03.005]
25. FITZGERALD, L, et al. (2002) Interlocking Interactions, the Diffusion of Innovations in Health Care, Human Relations, 55 (12), 1429-49. [doi:10.1177/001872602128782213]
26. GREENHALGH, T, et al. (2008) Introduction of shared electronic records: multi-site case study using diffusion of innovation theory, BMJ, 337, a1786.
27. GROVES, K E M, Flanagan, P S, and MacKinnon, N J (2002) Why physicians start or stop prescribing a drug: Literature review and formulary implications, Formulary, 37 (4), 186.
28. HARRIS, J K, et al. (2008) Seeing the forest and the trees: Using network analysis to develop an organizational blueprint of state tobacco control systems, Social Science & Medicine, 67 (11), 1669-78. [doi:10.1016/j.socscimed.2008.07.013]
29. HAYNES, R, Pearce, J, and Barnett, R (2008) Cancer survival in New Zealand: Ethnic, social and geographical inequalities, Social Science & Medicine, 67 (6), 928-37. [doi:10.1016/j.socscimed.2008.05.005]
30. JENSEN, Richard (1983) Innovation adoption and diffusion when there are competing innovations, Journal of Economic Theory, 29 (1), 161-71. [doi:10.1016/0022-0531(83)90127-8]
31. KEATING, N, et al. (2007) Factors Affecting Influential Discussions Among Physicians: A Social Network Analysis of a Primary Care Practice, Journal of General Internal Medicine, 22 (6), 794-98. [doi:10.1007/s11606-007-0190-8]
32. KOSMIDIS, K and Bunde, A (2007) On the spreading and localization of risky information in social networks, Physica A: Statistical Mechanics and its Applications, 386 (1), 439-45.
33. LESKOVEC, J and Horvitz, E (2008) Planetary-scale views on a large instant-messaging network, Proceedings of the 17th international conference on World Wide Web (Beijing, China).
34. LESKOVEC, J, et al. (2008) Statistical properties of community structure in large social and information networks, Proceedings of the 17th international conference on World Wide Web (Beijing, China).
35. LEWIS, J M, Baeza, J I, and Alexander, D (2008) Partnerships in primary care in Australia: Network structure, dynamics and sustainability, Social Science & Medicine, 67 (2), 280-91. [doi:10.1016/j.socscimed.2008.03.046]
36. LIU, Y, Hsiao, W C, and Eggleston, K (1999) Equity in health and health care: the Chinese experience, Social Science & Medicine, 49 (10), 1349-56. [doi:10.1016/S0277-9536(99)00207-5]
37. LOVETT, Andrew, et al. (2002) Car travel time and accessibility by bus to general practitioner services: a study using patient registers and GIS, Social Science & Medicine, 55 (1), 97-111. [doi:10.1016/S0277-9536(01)00212-X]
38. LURIE, S J, Fogg, T, and Dozier, Ann, M (2009) Social Network Analysis as a Method of Assessing Institutional Culture: Three Case Studies, Academic Medicine, 84 (8), 1029-35. [doi:10.1097/ACM.0b013e3181ad16d3]
39. MCGLYNN, E A, et al. (2003) The Quality of Health Care Delivered to Adults in the United States, New England Journal of Medicine, 348 (26), 2635-45. [doi:10.1056/NEJMsa022615]
40. MENZEL, H (1960) Innovation, Integration, and Marginality: A Survey of Physicians, American Sociological Review, 25 (5), 704-13. [doi:10.2307/2090143]
41. MOSZYNSKI, P (2010) Situation on health targets is hardly any better than it was 10 years ago, BMJ, 341, c3521.
42. NEWMAN, M E J (2001) Clustering and preferential attachment in growing networks, Physical Review E, 64 (2), 025102. [doi:10.1103/PhysRevE.64.025102]
43. NORTON, J A and Bass, F M (1987) A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products, Management Science, 33 (9), 1069-86. [doi:10.1287/mnsc.33.9.1069]
44. NSW HEALTH (2009) NSW Health Services Comparison Data Book, 2007/2008, (NSW Health, available at: http://www.health.nsw.gov.au/pubs/2009/yellowbook_08.html).
45. PEAY, M Y and Peay, E R (1984) Differences among practitioners in patterns of preference for information sources in the adoption of new drugs, Social Science & Medicine, 18 (12), 1019-25. [doi:10.1016/0277-9536(84)90160-6]
46. PEAY, M Y and Peay, E R (1988) The role of commercial sources in the adoption of a new drug, Social Science & Medicine, 26 (12), 1183-89. [doi:10.1016/0277-9536(88)90149-9]
47. PEAY, M Y and Peay, E R (1990), Patterns of preference for information sources in the adoption of new drugs by specialists, Social Science & Medicine, 31 (4), 467-76. [doi:10.1016/0277-9536(90)90042-Q]
48. PROSSER, H and Walley, T (2006) New drug prescribing by hospital doctors: The nature and meaning of knowledge, Social Science & Medicine, 62 (7), 1565-78. [doi:10.1016/j.socscimed.2005.08.035]
49. PROSSER, H, Almond, S and Walley, T (2003) Influences on GPs' decision to prescribe new drugs--the importance of who says what, Family Practice, 20 (1), 61-68. [doi:10.1093/fampra/20.1.61]
50. RATNA, N, et al. (2008) Diffusion and Social Networks: Revisiting Medical Innovation with Agents, Complex Decision Making, 247-65.
51. ROGERS, E M (2003) Diffusion of Innovations (5 edn.; New York: Free Press).
52. RUNCIMAN, B, Merry, A, and Walton, M (2007), Safety and Ethics in Healthcare: A Guide to Getting it Right (Hampshire: Ashgate).
53. STRANG, D and Tuma, N B (1993) Spatial and Temporal Heterogeneity in Diffusion', The American Journal of Sociology, 99 (3), 614-39. [doi:10.1086/230318]
54. SUBRAMANIAN, S V, Kawachi, I, and Kennedy, B P (2001) Does the state you live in make a difference? Multilevel analysis of self-rated health in the US, Social Science & Medicine, 53 (1), 9-19. [doi:10.1016/S0277-9536(00)00309-9]
55. VALENTE, T W (2005) Network models and methods for studying the diffusion of innovations, in Peter J Carrington, John Scott, and Stanley Wasserman (eds.), Models and methods in social network analysis (27; New York: Cambridge University Press), 98-116.
56. VERHEIJ, R A, et al. (1998) Urban-rural variations in health in The Netherlands: does selective migration play a part? Journal of Epidemiology and Community Health, 52 (8), 487-93. [doi:10.1136/jech.52.8.487]
57. VERHEIJ, R A (1996) Explaining urban-rural variations in health: A review of interactions between individual and environment, Social Science & Medicine, 42 (6), 923-35. [doi:10.1016/0277-9536(95)00190-5]
58. WASSERMAN, S and Faust, K (1994) Social Network Analysis: Methods and Applications (Cambridge University Press).
59. WEITZEL, T, Beimborn, D, and König, W (2006) A unified economic model of standard diffusion: the impact of standadization cost, network effect, and network topology, MIS Quarterly, 30, 489-514.
60. WILKINSON, R G and Pickett, K E (2006) Income inequality and population health: A review and explanation of the evidence, Social Science & Medicine, 62 (7), 1768-84. [doi:10.1016/j.socscimed.2005.08.036]
61. WINSOR, C P (1932) The Gompertz Curve as a Growth Curve, Proceedings of the National Academy of Sciences of the United States of America 18 (1), 1-8.