Keystone effect on entry into two-sided markets: An analysis of the market entry of WiMAX

Technological Forecasting and Social Change

Volumn 94, Issue , 2015, Pages 170-186

  Kang, Jin Su ^a   Downing, Stephen ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

3G; Indirect network effect; Keystone effect; Market entry; Two sided markets; WiMAX

Indexed keywords

ARCHES; CHANNEL ESTIMATION; COMPETITION; ECOSYSTEMS; INTEROPERABILITY; LONG TERM EVOLUTION (LTE); WIMAX; WIRELESS TELECOMMUNICATION SYSTEMS;

3G; INDIRECT NETWORK EFFECTS; KEYSTONE EFFECT; MARKET ENTRY; TWO-SIDED MARKETS;

COMMERCE;

ECONOMIC ANALYSIS; INFORMATION AND COMMUNICATION TECHNOLOGY; NUMERICAL MODEL; TECHNOLOGICAL DEVELOPMENT; TELECOMMUNICATION;

EID: 84954218150     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2014.09.008     Document Type: Article

References (100)

1. Andriani, P., McKelvey, B., 2007. Beyond Gaussian averages: redirecting international business and management research toward extreme events and power laws. J. Int. Bus. Stud. 38 (7), 1212-1230 (Oct.).
2. Anon, 2004. Wi-Fi's big brother. The Economist http://www.economist.com/ node/2502742 [Accessed: 19-Oct-2011]).
3. Anon, 2007. WhyMax? The Economist http://www.economist.com/node/ 8748628. [Accessed: 02-Dec-2011]).
4. Anon, 2008. Sprint and Clearwire to Combine WiMAX Businesses, Creating a New Mobile Broadband Company. Sprint Newsroom, ([Online]. Available: http:// newsroom.sprint.com/article_display.cfm?article_id=662. [Accessed: 02- Apr-2012]).
5. Anon, 2009. WiMAX manufacturers on WiMAX industry - 802.16 solutions([Online]. Available:) http://www.wimax-industry.com/ wimaxmanufacturers.htm ([Accessed: 12-Aug-2013]).
6. Anon, 2010a. WiMAX market continues to defy TD-LTE doom-sayers: 3Q10 revenue up 8%[Online]. Available http://www.infonetics.com/pr/2010/ 3Q10-WiMAX-Market-Highlights.asp (Accessed: 02-Apr-2012).
7. Anon, 2010b. The difference engine: generational change. The Economist http://www.economist.com/blogs/babbage/2010/12/mobile_phones. [Accessed: 25-Jan-2012]).
8. Anon, 2010c. WiMAX Equipment/Device Market up for Third Consecutive Quarter, Subscribers up 75% in '09[Online]. Available http://www. infonetics.com/pr/2010/4Q09-WiMAX-Market-Highlights.asp (Accessed: 10-Mar-2012).
9. Anon, 2011. Aircel, Huawei Complete LTE Field Trial in India. The Times of India News, New Delhi (09-Aug).
10. LTE vs. WiMAX: Verizon Claims the Spoils of War in 4G Battle, Clearwire Left Licking Its Wounds. TeleGeography, ([Online]. Available: http://www. telegeography.com/products/commsupdate/articles/2012/12/05/lte-vswimax- verizon-claims-the-spoils-of-war-in-4g-battle-clearwire-leftlicking- its-wounds/. [Accessed: 20-Jun-2013]).
11. Anon, 2013. Key 2006-2013 ITU Data for theWorld by Geographic Regions and by Level of Development. ITU World Telecommunication/ICT Indicators database.
12. Basole, R.C., 2009. Visualization of interfirm relations in a converging mobile ecosystem. J. Inf. Technol. 24 (2), 144-159 (Jun.).
13. Basole, R.C., Hu, M., Patel, P., Stasko, J.T., 2012. Visual analytics for convergingbusiness- ecosystem intelligence. IEEE Comput. Graph. Appl. 32 (1), 92-96.
14. Basu, A., Mazumdar, T., Raj, S.P., 2003. Indirect network externality effects on product attributes. Mark. Sci. 22 (2), 209-221.
15. Bensinger, G., 2011. Sprint to unveil 4G network, stop sellingWiMax.Wall Str. J. Mark. Watch ([Online]. Available: http://www.marketwatch.com/story/ sprint-to-unveil-4g-network-stop-selling-wimax-2011-10-07. [Accessed: 03-Jun-2012]).
16. Berry, S.T., 1994. Estimating discrete-choice models of product differentiation. RAND J. Econ. 25 (2), 242-262.
17. Birke, D., Swann, G., 2006. Network effects and the choice of mobile phone operator. J. Evol. Econ. 16 (1), 65-84.
18. Boudreau, K., 2010. Open platform strategies and innovation: granting access vs. devolving control. Manag. Sci. 56 (10), 1849-1872 (Oct.).
19. Brynjolfsson, E., Kemerer, C.F., 1996. Network externalities in microcomputer software: an econometric analysis of the spreadsheet market. Manag. Sci. 42, 1627-1647.
20. Choi, J.P., 1994. Network externality, compatibility choice, and planned obsolescence. J. Ind. Econ. XLII, 167-182.
21. Chou, C., Shy, O., 1990. Network effectswithout network externalities. Int. J. Ind. Organ. 8 (2), 259-270.
22. Chuang, Y.-F., 2011. Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions. Telecommun. Policy 35 (2), 128-140 (Mar.).
23. Church, J., Gandal, N., 1992. Network effects, software provision, and standardization". J. Ind. Econ. XL (1), 85-104.
24. Clements,M.T.,Ohashi,H., 2005. Indirect network effects and the product cycle: video games in the U.S., 1994-2002. J. Ind. Econ. 53 (4), 515-542.
25. Conti, J.P., 2010. LTE vsWiMAX: the battle continues. Eng. Technol.Mag. 5 (14).
26. Corts, K.S., Lederman, M., 2009. Software exclusivity and the scope of indirect network effects in the U.S. home video game market. Int. J. Ind. Organ. 27 (2), 121-136.
27. Davic, R.D., 2003. Linking keystone species and functional groups: a new operational definition of the keystone species concept. Conserv. Ecol. 7 (1), r11.
28. Dube, J.P.H., Hitsch, G.J., Chintagunta, P.K., 2010. Tipping and concentration in markets with indirect network effects. Mark. Sci. 29 (2), 216-249.
29. Eisenmann, T., Parker, G., Van Alstyne, M.W., 2006. Strategies for two-sided markets. Harv. Bus. Rev. 84 (10), 92-101 (Oct.).
30. Eisenmann, T., Parker, G., Van Alstyne,M., 2011. Platformenvelopment. Strateg. Manag. J. 32 (12), 1270-1285 (Dec.).
31. Farrell, J., Klemperer, P., 2007. Coordination and lock-in: competition with switching costs and network effects. Handb. Ind. Organ. 3 (May), 1967-2072.
32. FCC, 2013. Mobile Wireless Competition Report, 16th Annual (Washington, D.C.).
33. Fletcher, W.J., 1987. Interactions among subtidal Australian sea urchins, gastropods, and algae: effects of experimental removals. Ecol. Monogr. 57 (1), 89-109.
34. Fu, W.W., 2004. Termination-discriminatory pricing, subscriber bandwagons, and network traffic patterns: the Taiwanese mobile phone market. Telecommun. Policy 28 (1), 5-22 (Feb.).
35. Gabriel, C., 2011a. China Mobile enlists Clearwire for TD-LTE device push. Rethink Wireless. ([Online]. Available: http://www.rethink-wireless.com/ 2011/09/15/china-mobile-enlists-clearwire-td-lte-device-push.htm. [Accessed: 20-May-2012]).
36. Gabriel, C., 2011b. Russia gets first LTE network. Rethink Wireless. ([Online]. Available: http://www.rethink-wireless.com/2011/12/20/russia-lte-network. htm).
37. Gandal, N., Kende,M., Rob, R., 2000. The dynamics of technological adoption in hardware/software systems: the case of compact disc players. RAND J. Econ. 31 (1), 43-61.
38. Gerstheimer, O., Lupp, C., 2004. Needs versus technology-the challenge to design third-generation mobile applications. J. Bus. Res. 57 (12), 1409-1415 (Dec.).
39. Godfrey, L.G., 1978a. Testing for higher order serial correlation in regression equations when the regressors include lagged dependent variables. Econometrica 46 (6), 1303-1310.
40. Godfrey, L.G., 1978b. Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica 46 (6), 1292-1301.
41. Grajek, M., 2010. Estimating network effects and compatibility: evidence from the Polish mobile market. Inf. Econ. Policy 22 (2), 130-143 (May).
42. Gunasekaran, V., Harmantzis, F.C., 2008. Towards a Wi-Fi ecosystem: technology integration and emerging service models. Telecommun. Policy 32, 163-181.
43. Hamblen, M., 2008. WiMax vs. Long Term Evolution: Let the Battle Begin. Computerworld, ([Online]. Available: http://www.computerworld.com/s/ article/9085202/WiMax_vs._Long_Term_Evolution_Let_the_battle_begin. [Accessed: 19-Nov-2012]).
44. Hausman, J.A., 1978. Specification tests in econometrics. Econometrica 46 (6), 1251-1271.
45. Hausman, J.A., Taylor,W.E., 1981. A generalized specification test. Econ. Lett. 8 (3), 239-245.
46. Iansiti, M., Levien, R., 2004a. Strategy as ecology. Harv. Bus. Rev. 82 (3), 68-78 (Mar.).
47. Iansiti,M., Levien, R., 2004b. The Keystone Advantage. Harvard Business School Publication Corp, Boston.
48. Iansiti, M., Richards, G.L., 2006. The information technology ecosystem: structure, health, and performance. Antitrust Bull. 51 (1), 77.
49. Kang, J.-S., Lee, H.-Y., Tsai, J., 2011. An analysis of interdependencies in mobile communications technology: the case ofWiMAX and the development of a market assessment model. Technol. Soc. 33 (3-4), 284-293 (Aug.).
50. Katz, M.L., Shapiro, C., 1986. Technology Adoption in the Presence of Network Externalities. 94 (4).
51. Khazam, J., Mowery, D.C., 1996. Tails that wag dogs: the influence of softwarebased 'network externalities' on the creation of dominant designs in RISC technologies. In: Mowery, D. (Ed.), The International Computer Software Industry. Oxford University Press, New York, pp. 86-103.
52. Kim, H.-S., Kwon, N., 2003. The advantage of network size in acquiring new subscribers: a conditional logit analysis of the Korean mobile telephony market. Inf. Econ. Policy 15 (1), 17-33 (Mar.).
53. Kotliar, N.B., 2008. Application of the new keystone-species concept to prairie dogs: how well does it work? Conserv. Biol. 14 (6), 1715-1721 (Jul.).
54. Kristiansen, E.G., 1998. R&D in the presence of network externalities: timing and compatibility. RAND J. Econ. 29, 531-547.
55. MacKinnon, J., White, H., 1985. Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. J. Econom. 29, 305-325.
56. Maicas, J.P., Polo, Y., Sese, F.J., 2009. The role of (personal) network effects and switching costs in determining mobile users' choice. J. Inf. Technol. 24 (2), 160-171 (Jun.).
57. Makinenl, S., Dedehayirl, O., 2012. Business Ecosystem Evolution and Strategic Considerations: A Literature Review. pp. 1-10.
58. Marquet, P. a, Quiñones, R. a, Abades, S., Labra, F., Tognelli, M., Arim, M., Rivadeneira, M., 2005. Scaling and power-laws in ecological systems. J. Exp. Biol. 208 (Pt 9), 1749-1769 (May).
59. McFadden, D., 1974. In: Zarembka, P. (Ed.), Conditional logit analysis of qualitative choice behaviorFrontiers in Econometrics vol. 1, no. 2. Academic Press, pp. 105-142.
60. MIC, 2010. 2010 global WiMAX subscribers market dynamic analysis (in Chinese). (Unpublished raw data), Taipei.
61. MIC, 2011. 2011Q1 global mobile phone industry production and important market trends analysis (in Chinese). (Unpublished raw data), Taipei.
62. MIC, 2011. 2011Q4 WiMAX industry production and important market trends analysis (in Chinese). (Unpublished raw data), Taipei.
63. MIC, 2012. 2012Q1 Taiwanese WiMAX industry production and dynamic market outlook (in Chinese). (Unpublished raw data), Taipei.
64. Moore, J.F., 1993. Predators and prey: a new ecology of competition. Harv. Bus. Rev. 71 (3), 75-86.
65. Moore, J.F., 1996. The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems. JohnWiley & Sons, p. 297.
66. Moore, J.F., 2006. Business ecosystems and the view from the firm. Antitrust Bull. 51 (1), 31-75.
67. Nair, H., Chintagunta, P.K., Dube, J.-P.H., 2004. Empirical analysis of indirect network effects in the market for personal digital assistants. Quant. Mark. Econ. 2 (1), 23-58.
68. Navarrete, S.A.,Menge, B.A., 1996. Keystone predation and interaction strength: Interactive effects of predators on their main prey. Ecol. Monogr. 66 (4), 409-429.
69. Ohashi, H., 2003. The role of network effects in the US VCR Market, 1978-1986. J. Econ. Manag. Strateg. 12 (4), 447-494.
70. Owen-smith,N., 1987. Pleistocene extinctions: the pivotal role ofmegaherbivores. Paleobiology 13 (3), 351-362.
71. Paine, R.T., 1966. Food web complexity and species diversity. Am. Nat. 100 (910), 65-75.
72. Paine, R.T., 1969. The Pisaster-Tegula interaction: prey patches, predator food preference, and intertidal community structure. Ecology 50 (6), 950-961.
73. Paolini, M., 2010. Reaching Sustained Growth in the WiMAX Market[Online]. Available http://www.senzafiliconsulting.com/Blog/tabid/64/articleType/ ArticleView/articleId/34/WiMAX-subscriber-forecast-2009-2014-andoperator- survey-available-to-download.aspx.
74. Park, S., 2004. Quantitative analysis of network externalities in competing technologies: the VCR case. Rev. Econ. Stat. 86 (4), 937-945.
75. Power, M.E., Tilman, D., Estes, J.A., Menge, B.A., Bond, W.J., Mills, L.S., Daily, G., Castilla, J.C., Lubchenco, J., Paine, R.T., 1996. Challenges in the quest for Keystones: identifying keystone species is difficult-but essential to understanding how loss of species will affect ecosystems. Bioscience 46 (8), 609-620.
76. Prieger, J.E., Hu, W., 2010. Applications barrier to entry and exclusive vertical contracts in platform markets. Econ. Inq. 50 (2), 435-452.
77. Rochet, J., Tirole, J., 2003. Platform competition in two-sided markets. J. Eur. Econ. Assoc. 1 (4), 990-1029.
78. Rysavy, P., 2009. HSPA to LTE-Advanced: 3GPP Broadband Evolution to IMTAdvanced (4G)[Online]. Available http://www.3gamericas.org/documents/ 3G_Americas_RysavyResearch_HSPA-LTE_Advanced_Sept2009.pdf (Accessed: 01-May-2012).
79. Rysavy, P., 2011. Why Sprint's WiMAX dump was inevitable. Information Week. ([Online]. Available: http://www.informationweek.com/news/ telecom/unified_communications/231900556. [Accessed: 28-May-2012]).
80. Schilling, M., 1999.Winning the standards race: building installed base and the availability of complementary goods. Eur. Manag. J. 17 (3), 265-274 (Jun.).
81. Schilling, M., 2003. Technological leapfrogging: lessons from the U.S. video game console industry. Calif. Manag. Rev. 45 (3), 6-33.
82. Shin, D.-H., Kim, W.-Y., 2008. Forecasting customer switching intention in mobile service: an exploratory study of predictive factors inmobile number portability. Technol. Forecast. Soc. Chang. 75 (6), 854-874 (Jul.).
83. Shin, D.-H., Choo, H., Beom, K., 2011. Socio-technical dynamics in the development of next generation mobile network: translation beyond 3G. Technol. Forecast. Soc. Chang. 78 (3), 514-525 (Mar.).
84. Sobolewski, M., Czajkowski, M., 2012. Network effects and preference heterogeneity in the case of mobile telecommunications markets. Telecommun. Policy 36 (3), 197-211 (Apr.).
85. Sohn, S.Y., Ahn, B.J., 2003. Multigeneration diffusion model for economic assessment of new technology. Technol. Forecast. Soc. Chang. 70 (3), 251-264 (Mar.).
86. Stanoevska-Slabeva, K.,Wozniak, T., 2010. Opportunities and threats bymobile platforms: the (new) role of mobile network operators. Proc 14th Int Conf lntelligence in Next Generation Networks ICIN, p. 6 (no. 1995).
87. Strube, J., Schade, S., Schmidt, P., Buxmann, P., 2007. Simulating indirect network effects in the video game market. Inf. Syst. J. 1-10.
88. Suh, Y., Kim, C., Kim, M., 2013. Exploring Structure of Mobile Ecosystem: Inter- Industry Network, Analysis Approach. pp. 829-832.
89. Terborgh, J., 1986. Keystone plant resources in the tropical forest. In: Soulé, M. (Ed.), Conservation Biology. Ginauer Associates Inc. Publishers, pp. 330-344.
90. Tobbin, P., 2011. Understanding the mobile money ecosystem: roles, structure and strategies. Proceedings 2011 10th International Conference on Mobile Business ICMB, pp. 185-194.
91. Tofel, K.C., 2010. Intel's WiMAX Office Closure Could Open Doors for TD-LTE". Gigaom, ([Online]. Available: http://gigaom.com/2010/07/01/intel-wimaxoffice- closure-could-open-doors-for-td-lte/. [Accessed: 11-Nov-2011]).
92. Wade, J., 1995. Dynamics of organizational communities and technological bandwagons: an empirical investigation of community evolution in the microprocessor market. Strateg. Manag. J. 16, 111-113.
93. Weissberger, A.J., 2009. Intel DropsWiMax Chip Due toMajor Drop in Demand, But Intel Capital Invests $43 Million in UQ Communications. WiMAX 360, [Online]. Available: http://www.wimax360.com/profiles/blogs/intel-dropswimax- chip-due-to. [Accessed: 23-May-2012].
94. Wonglimpiyarat, J., 2005. Standard competition: is collaborative strategy necessary in shaping the smart card market? Technol. Forecast. Soc. Chang. 72 (8), 1001-1010 (Oct.).
95. Woyke, E., 2008.WiMAX's Invisible Power. Forbes, ([Online]. Available: http:// www.forbes.com/2008/08/28/wimax-clearwire-sprint-tech-wire-cx_ew_ 0828wimax.html. [Accessed: 20-May-2012]).
96. Wu, D., 1973. Alternative tests of independence between stochastic regressors and disturbances. Econometrica 41 (4), 733-750.
97. Zellner, A., 1962. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J. Am. Stat. Assoc. 57 (298), 348-368.
98. Zhang, J., Liang, X.-J., 2011. Business ecosystem strategies of mobile network operators in the 3G era: the case of China Mobile. Telecommun. Policy 35 (2), 156-171 (Mar.).
99. Zhu, F., Iansiti,M., 2007. Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations[Online]. Available http://www.hbs.edu/research/pdf/08-031.pdf (Accessed: 01-Dec-2011).
100. Zhu, F., Iansiti, M., 2012. Entry into platform-based markets. Strateg. Manag. J. 33 (1), 88-106 (Jan.).