Underlying consumer heterogeneity in markets for subscription-based IT services with network effects

Information Systems Research

Volumn 23, Issue 4, 2012, Pages 1322-1341

  Niculescu, Marius F ^a   Shin, Hyoduk ^b   Whang, Seungjin ^c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

Consumer information awareness; Consumer utility models; Network effects; Subscription based IT services

Indexed keywords

COMMERCE; CONTINUOUS TIME SYSTEMS; FORECASTING; HEURISTIC METHODS; INFORMATION DISSEMINATION; LIFE CYCLE;

CLOSED-FORM EXPRESSION; COMPLEMENTARY PRODUCTS; CONSUMER INFORMATION; CONSUMER UTILITIES; FORECASTING PURPOSE; INFORMATION TECHNOLOGY SERVICES; IT SERVICES; NETWORK EFFECTS;

CONSUMER BEHAVIOR;

EID: 84871569793     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.1120.0422     Document Type: Article

References (49)

1. Ahonen TT (2010) The insider's guide to mobile. The customers, services, apps, phones, and business of the newest trillion dollar industry. Tomi Ahonen Consulting. Accessed April 2012, http://www.lulu.com/shop/tomi-t-ahonen/insiders-guide-to -mobile-free-edition/ebook/product-14591083.html.
2. Ahonen TT (2011) Tomi Ahonen Almanac 2011. The mobile telecoms industry annual review for 2011. Tomi Ahonen Consulting. Accessed November 2011, http://www.tomiahonen.com/ebook/almanac.html.
3. Argenziano R (2008) Differentiated networks: Equilibrium and efficiency. RAND J. Econom. 39(3):747-769.
4. AT&T (2008) AT&T announces new approach to early ternimantion fees: More flexibility for wireless customers. Press Release, March 31. Accessed April 2012, http://www.att.com/gen/press-room?pid=4800&cdvn=news&newsarticleid=25390.
5. Browne J, Temkin BD, Geller S (2009) How Japanese consumers use the mobile internet. Forrester Res. Report, March 10.
6. Cabinet Office of the Government of Japan (2011) Statistics. Economic and Social Research Institute. Accessed May 5, 2011, http://www.esri.cao.go.jp/index-e.html.
7. Chatterjee R, Eliashberg J (1990) The innovation diffusion process in a heterogeneous population: A micromodeling approach. Management Sci. 36(9):1057-1079.
8. Cheng R (2010) Verizon to offer FiOS without contract. The Wall Street Journal (June 22). Accessed April 2012, http://online.wsj.com/article/SB10001424052748704895204575320700 -280294646.html.
9. Cheng HK, Liu Y (2010) Optimal software free trial strategy: The impact of network externalities and consumer uncertainty. Inform. Systems Res. Forthcoming.
10. Cheng HK, Tang QC (2010) Free trial or no free trial: Optimal software product design with network effects. Eur. J. Oper. Res. 205(2):437-447.
11. Cisco (2011) Visual networking index (VNI) forecast (2010-2015). Accessed June 1, 2011, http://www.cisco.com.
12. Conner KR (1995) Obtaining strategic advantage from being imitated: When can encouraging clones pay? Management Sci. 41(2):209-225.
13. Dewan S, Ganley D, Kraemer KL (2010) Complementarities in the diffusion of personal computers and the Internet: Implications for the global digital divide. Inform. Systems Res. 21(4):925-940.
14. Dhebar A, Oren SS (1986) Dynamic nonlinear pricing in networks with interdependent demand. Oper. Res. 34(3):384-394.
15. Dodson JA, Muller E (1978) Models of new product diffusion through advertising and word-of-mouth. Management Sci. 24(15):1568-1578.
16. Doganoglu T, Grzybowski L (2007) Estimating network effects in mobile telephony in Germany. Inform. Econom. Policy 19(1):65-79.
17. Gartner (2011) Gartner Says Worldwide Software as a Service Revenue Is Forecast to Grow 21 Percent in 2011 Press release, July 7. Accessed April 2012, http://www.gartner.com/it/page.jsp?id=1739214.
18. Guevara AL, Elberse A, Putis WP (2007) Diffusion of complementary products with network effects: A model with applications. Working paper, accessed April 24, 2007, http://www.people.hbs.edu/aelberse/papers/ladron_2007.pdf.
19. Haruvy E, Mahajan V, Prasad A (2004) The effect of piracy on the market penetration of subscription software. J. Bus. 77(S2): S81-S107.
20. Horsky D (1990) A diffusion model incorporating product benefits, price, income and information. Marketing Sci. 9(4):342-365.
21. Internet World Stats (2011) Miniwatts Marketing Group, Accessed November 21, 2011, http://www.internetworldstats.com/stats.htm.
22. Jang SL, Dai SC, Sung S (2005) The pattern and externality effect of diffusion of mobile telecommunications: The case of the OECD and Taiwan. Inform. Econ. Policy 17(2):133-148.
23. Japanese Ministry of Internal Affairs and Communications (2005) Information on subscribers of cellular telephone, pager and PHS (personal handy-phone system) in Japan. Accessed May 2, 2011, http://www.soumu.go.jp/joho_tsusin/eng/Statistics/telephone.html.
24. Japanese Ministry of Internal Affairs and Communications (2011) Statistics Bureau, Director-General for Policy Planning (Statistical Standards) and Statistical Research and Training Institute. Accessed June 1, 2011, http://www.stat.go.jp/english/index.htm.
25. Japanese Telecommunications Carrier Association (2011) Voice installed bases. Accessed November 24, 2011, http://www.tca.or.jp/eng/database/daisu/index.html.
26. Kalish S (1983) Monopolist pricing with dynamic demand and production cost. Marketing Sci. 2(2):135-159.
27. Kalish S (1985) A new product adoption model with price, advertising, and uncertainty. Management Sci. 31(12):1569-1585.
28. Katz ML, Shapiro C (1985) Network externalities, competition, and compatibility. Amer. Econom. Rev. 75(3):424-440.
29. Lucas R (1976) Econometric policy evaluation: A critique. Carnegie-Rochester Conf. Ser. Public Policy 1:19-46.
30. Madden G, Coble-Neal G (2004) Economic determinants of global mobile telephony growth. Inform. Econom. Policy 16(4):519-534.
31. Mahajan V, Muller E, Wind Y, eds. (2000) New-product diffusion models. International Series in Quantitative Marketing, Vol. 11 (Kluwer Academic Publishers, Norwell, MA).
32. Mankiw NG, Reis R (2002) Sticky information versus sticky prices: A proposal to replace the new Keynesian Phillips curve. Quart. J. Econom. 117(4):1295-1328.
33. Meade N, Islam T (2006) Modelling and forecasting the diffusion of innovation-A 25-year review. Internat. J. Forecasting 22(3):519-545.
34. Mitchell MF, Skrzypacz A (2005) Network externalities and longrun market shares. Econom. Theory 29(3):621-628.
35. Morris S, Shin HS (2006) Inertia of forward-looking expectations. Amer. Econom. Rev. 96(2):152-157.
36. Nair H (2007) Intertemporal price discrimination with forwardlooking consumers: Application to the US market for console video-games. Quant. Mktg. Econom. 5(3):239-292.
37. Niculescu MF, Whang S (2012) Codiffusion of wireless voice and data services: An empirical analysis of the Japanese mobile telecommunications market. Inform. Sys. Res. 23(1):260-279.
38. Padgett JE, Günther CG, Hattori T (1995) Overview of wireless personal communications. IEEE Comm. Magazine 33(1):28-41.
39. Robinson B, Lakhani C (1975) Dynamic price models for newproduct planning. Management Sci. 21(10):1113-1122.
40. Saloner G, Shepard A (1995) Adoption of technologies with network effects: An empirical examination of the adoption of automated teller machines. RAND J. Econom. 26(3):479-501.
41. Satariano A (2011) Big Fish sells subscriptions to its games on the iPad. Bloomberg. Accessed November 23, 2011, http://www.bloomberg.com.
42. Seo S (2006) Network effects in the U.S. cable television industry: An empirical examination of cable network externalities. Paper presented at the Annual Meeting of the International Communication Association, Dresden, Germany (June 19-23).
43. Sethi SP, Bass FM (2003) Optimal pricing in a hazard rate model of demand. Optimal Control Appl. Methods 24(4):183-196.
44. Sing TF, Lee KP, Wong AL (2002) Network effects and broadband connectivity in office building. Intl. Real Estate Rev. 5(1): 146-168.
45. Song I, Chintagunta P (2003) A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Mktg. Econom. 1(4):371-407.
46. The Mobile World (2011) The week in figures. Accessed April 2012, http://www.themobileworld.com.
47. Verizon Wireless (2008) No contract required-New month-tomonth agreement gives Verizon Wireless customers even more freedom. Press Release, September 22. Accessed April 2012, http://news.verizonwireless.com/news/2008/09/pr2008-09-22b.html.
48. Web Japan (2005) Back to basics: No-frills cell phones attract older users. Trends in Japan. Science and Technology. Accessed June 1, 2011, http://web-japan.org/trends/science/sci050114.html.
49. Zhang J, Seidmann A (2009) Perpetual vs. subscription licensing of software with network externalities. 42nd Hawaii Internat. Conf. on System Sci., Waikoloa, Big Island, Hawaii (January 5-8). http://www.computer.org/portal/web/csdl/doi/10.1109/HICSS.2009.859.