Research Note—Codiffusion of Wireless Voice and Data Services: An Empirical Analysis of the Japanese Mobile Telecommunications Market

References

• Analyticalst Japanese kids and cellphones: Wireless penetration numbers. (2006) . Accessed November 24, 2008, http://analytica1st.com/analytica1st/2006/10/japanese-kids-and-cellphones-wireless.htmlGoogle Scholar
• Andersson K., Foros Ø., Stein F. Text and voice: Complements, substitutes or both. Indust. Corporate Change (2009) 18(6):1231–1247Crossref, Google Scholar
• Bass M. F. A new product growth model for consumer durables. Management Sci. (1969) 15(5):215–227Link, Google Scholar
• Bass M. F., Khrishnan T. V., Jain D. C. Why the Bass model fits without decision variables. Marketing Sci. (1994) 13(3):203–223Link, Google Scholar
• Bayus B. L. Forecasting sales of new contingent products: An application to the compact disc market. J. Product Innovation Management (1987) 4(4):243–255Crossref, Google Scholar
• Bayus B. L., Kim N., Shocker A. D., Mahajan V., Muller E., Wind Y. Growth models for multiproduct interactions: Current status and new directions. New-product diffusion models. International Series in Quantitative Marketing (2000) 11(Kluwer Academic Publishers, Boston) 141–163Google Scholar
• Bucklin L. P., Sengupta S. The co-diffusion of complementary innovations: Supermarket scanners and UPC symbols. J. Product Innovation Management (1993) 10(2):148–160Crossref, Google Scholar
• Cabinet Office of the Government of Japan Statistics. (2009) . Economic and Social Research Institute. Accessed September 9, 2009, http://www.esri.cao.go.jp/index-e.htmlGoogle Scholar
• CDMA Development Group (2010) . Accessed July 5, 2010, http://www.cdg.orgGoogle Scholar
• Clements M. T., Ohashi H. Indirect network effects and the product cycle: Video games in the U.S., 1994–2002. Internat. J. Indust. Econom. (2005) 103(4):515–542Crossref, Google Scholar
• Dewan S., Ganley D., Kraemer K. L. Complementarities in the diffusion of personal computers and the Internet: Implications for the global digital divide. Inform. Systems Res. (2010) 21(4):925–940Link, Google Scholar
• Dockner E., Jørgensen S. Optimal pricing strategies for new products in dynamic oligopolies. Marketing Sci. (1988) 7(4):315–334Link, Google Scholar
• Dockner E. J., Fruchter G. E. Dynamic strategic pricing and speed of diffusion. J. Optim. Theory Appl. (2004) 123(2):331–348Crossref, Google Scholar
• Doganoglu T., Grzybowski L. Estimating network effects in mobile telephony in Germany. Inform. Econom. Policy (2007) 19(1):65–79Crossref, Google Scholar
• Dolan R. J., Jeuland A. P. Experience curves and dynamic demand models: Implications for optimal pricing strategies. J. Marketing (1981) 45(1):52–62Crossref, Google Scholar
• Eliashberg J., Helsen K. Modeling lead/lag phenomena in global marketing: The case of VCRs. (1995) . Working paper (October revision), Wharton School, University of Pennsylvania, PhiladelphiaGoogle Scholar
• Eurotechnology The unofficial independent i-mode FAQ. (2009) . Accessed October 5, 2009, http://eurotechnology.com/market_reports/imode/faq-email.shtmlGoogle Scholar
• Ferson W. E., Foerster S. R. Finite sample properties of the generalized method of moments in tests of conditional asset pricing models. J. Financial Econom. (1994) 36(1):29–55Crossref, Google Scholar
• Foreign Press Center Japan Figures and facts of Japan 2006, education. (2006) . Accessed November 30, 2006, http://www.fcpj.jp/e/mres/publication/ff/pdf/19_education.pdfGoogle Scholar
• Frank L. Mobile communications in Finland: Analysis of the diffusion process in a first-mover country. (2000) 40th Congress of the European Regional Science Association(Aug. 29–Sep. 1)Barcelona, SpainGoogle Scholar
• Gandal N., Kende M., Rob R. The dynamics of technological adoption in hardware/software systems: The case of compact disc players. The RAND J. Econom. (2000) 31(1):43–61Crossref, Google Scholar
• Ganesh J., Kumar V. Capturing the cross-national learning effects: An analysis of an industrial technology diffusion. J. Acad. Marketing Sci. (1996) 24:328–337Crossref, Google Scholar
• Ganesh J., Kumar V., Subramanian V. Learning effects in multinational diffusion of consumer durables: An exploratory investigation. J. Acad. Marketing Sci. (1997) 25(3):214–228Crossref, Google Scholar
• Givon M., Mahajan V., Muller E. Software piracy: Estimation of lost sales and the impact on software diffusion. J. Marketing (1995) 59(1):29–37Crossref, Google Scholar
• Givon M., Mahajan V., Muller E. Assessing the relationship between user-based market share and unit sales-based market share for pirated software brands in competitive markets. Tech. Forecasting Soc. Change (1997) 55(2):131–144Crossref, Google Scholar
• Global Mobile Suppliers Association (2010) . Accessed July 1, 2010, http://www.gsacom.comGoogle Scholar
• Gruber H., Verboven F. The diffusion of mobile telecommunications services in the European Union. Eur. Econom. Rev. (2001) 45:577–588Crossref, Google Scholar
• Grzybowski L., Pereira P. The complementarity between calls and messages in mobile telephony. Inform. Econom. Policy (2008) 20(3):279–287Crossref, Google Scholar
• GSM Asia Pacific ARPU patterns as market penetration rises (wireless intelligence report by Martin Garner). (2006) . Accessed November 23, 2008, http://www.gsmap.org/wp-content/uploads/files/ARPU20paterns038818.pdfGoogle Scholar
• GSM Asia Pacific Statistics by country. (2008) . Accessed November 23, 2008, http://www.gsmap.org/information/statistics/country/Google Scholar
• Guevara A. L., Elberse A., Putis W. P. Diffusion of complementary products with network effects: A model with applications. 36th MAC (European Marketing Academy) Conf. Proc. 2007 (2007) Reykjavik, IcelandGoogle Scholar
• Haas M. Management of innovation in network industries: The mobile internet in Japan and Europe. (2006) . DUV (Gabler Edition Wissenschaft), WiesbadenGoogle Scholar
• Haas M. How new network markets emerge: A comparative analysis of the mobile internet in Japan and Europe. Proc. 40th Hawaii Internat. Conf. System Sci. (2007) Big Island, HICrossref, Google Scholar
• Hall A. R. Generalized method of moments. Advanced Texts in Econometrics (2005) (Oxford University Press, New York) Google Scholar
• Hansen L. P. Large sample properties of generalized method of moments estimators. Econometrica (1982) 50(4):1029–1054Crossref, Google Scholar
• Haruvy E., Mahajan V., Prasad A. The effect of piracy on the market penetration of subscription software. J. Bus. (2004) 77(2):81–107Crossref, Google Scholar
• Hayasi K., Fuke H. Changes and deregulation in the Japanese telecommunications market. IEEE Comm. Magazine (1998) 36(11):46–53Crossref, Google Scholar
• James J. Leapfrogging in mobile telephony: A measure for comparing country performance. Tech. Forecasting Soc. Change (2009) 76(7):991–998Crossref, Google Scholar
• Jang S. L., Dai S. C., Dung S. The pattern and externality effect of diffusion of mobile telecommunications: The case of the OECD and Taiwan. Inform. Econom. Policy (2005) 17:133–148Crossref, Google Scholar
• Japanese Ministry of Internal Affairs and Communications Statistics Bureau, Director-General for Policy Planning (Statistical Standards) and Statistical Research and Training Institute. (2009a) . Accessed September 1, 2009, http://www.stat.go.jp/english/index.htmGoogle Scholar
• Japanese Ministry of Internal Affairs and Communications Statistics Bureau, Director-General for Policy Planning (Statistical Standards) and Statistical Research and Training Institute. Statistical Handbook of Japan 2009. (2009b) . Chapter 8: Science and technology/information and communication. Accessed September 1, 2009, http://www.stat.go.jp/english/data/handbook/c08cont.htmGoogle Scholar
• Japanese Telecommunications Carrier Association Number of subscribers for wireless voice and data services. (2009) . Accessed October 1, 2009, http://www.tca.or.jp/english/database/index.htmlGoogle Scholar
• Kalish S. Monopolist pricing with dynamic demand and production cost. Marketing Sci. (1983) 2(2):135–159Link, Google Scholar
• Kalish S., Mahajan V., Muller E. Waterfall and sprinkler new product strategies in competitive global markets. Internat. J. Res. Marketing (1995) 12:105–119Crossref, Google Scholar
• KDDI Corporation DDI annual report. (2000) . Accessed October 6, 2007, http://www.kddi.com/corporate/ir/library/annual_report/2000/pdf/ddi_ar2000.pdfGoogle Scholar
• KDDI Corporation Student discount offer. (2007) . Accessed January 24, 2007, http://www.au.kddi.com/english/charge_discount/discount/student/index.htmlGoogle Scholar
• Kim N., Chang D. R., Schocker A. D. Modelling intercategory and generational dynamics for a growing information technology industry. Management Sci. (2000) 46(4):496–512Link, Google Scholar
• Kim Y., Telang R., Vogt W. B., Krishnan R. An empirical analysis of mobile voice and SMS service: A structural model. Management Sci. (2010) 56(2):234–252Link, Google Scholar
• Krishnan T. V., Bass F. M., Jain D. C. Optimal pricing strategy for new products. Management Sci. (1999) 45(12):1650–1663Link, Google Scholar
• Kumar V., Krishnan T. V. Multinational diffusion models: An alternative framework. Marketing Sci. (2002) 21:318–330Link, Google Scholar
• Kumar V., Ganesh R., Echambadi R. Cross-national diffusion research: What do we know and how certain are we? J. Product Innovation Management (1998) 15(3):255–268Crossref, Google Scholar
• Lai R. K. Is inventory's fiscal year end effect caused by sales timing? A test using a natural experiment from Germany. (2008) . Working paper, Research Paper No. 08-086, Harvard Business School, Boston. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1016892Google Scholar
• Larke R.Japanese Retailing (1994) (Van Nostrand Reinhold, Florence, KY) Google Scholar
• Larkin I. The cost of high-powered incentives: Employee gaming in enterprise software sales. (2006) . Working paper, University of California, BerkeleyGoogle Scholar
• Madden G., Coble-Neal G. Economic determinants of global mobile telephony growth. Inform. Econom. Policy (2004) 16:519–534Crossref, Google Scholar
• Mahajan V., Muller E. Timing, diffusion, and substitution of successive generations of technological innovations: The IBM mainframe case. Tech. Forecasting Soc. Change (1996) 51(2):109–132Crossref, Google Scholar
• Mahajan V., Peterson R. A., Sheth J. Multi-product growth models. Research in Marketing (1978) 1(JAI Press, Greenwich, CT) 201–231Google Scholar
• Mahajan V., Muller E., Bass F. M. New product diffusion models in marketing: A review and directions for research. J. Marketing (1990) 54(1):1–26Crossref, Google Scholar
• Massini S. The diffusion of mobile telephony in Italy and the UK: An empirical approach. Econom. Innovation and New Tech. (2004) 13(3):251–277Crossref, Google Scholar
• Mesak H. I., Clark J. W. Monopolist optimum pricing and advertising policies for diffusion models of new product innovations. Optimal Control Appl. Methods (1998) 19:111–136Crossref, Google Scholar
• MobileMonday 3G penetration grows to 40% in Japan and South Korea. (2006) . Accessed December 7, 2008, http://www.mobilemonday.net/news/3g-penetration-grows-to-40-in-japan-and-south-koreaGoogle Scholar
• Mobile World, The (2010) . Accessed July 5, 2010, http://www.themobileworld.comGoogle Scholar
• MSNBC Japan fights children's cell phone addiction. (2008) . Accessed November 24, 2008, http://www.msnbc.msn.com/id/24839642/Google Scholar
• Nair H., Chintagunta P., Dubé J. P. Empirical analysis of indirect network effects in the market for personal digital assistants. Quant. Marketing Econom. (2004) 2(1):23–58Crossref, Google Scholar
• Neil W. Competition calling. Personal handy-phone system boosts Japan's telecommunications industry. Forbes (1996) 158(11):146–147Google Scholar
• Newey W. K., West K. D. A simple positive semi-definite heteroscedasticity and autocorrelation consistent covariance matrix. Econometrica (1987) 55(3):703–708Crossref, Google Scholar
• Norton J. A., Bass F. M. A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Sci. (1987) 33(9):1069–1086Link, Google Scholar
• NTT DoCoMo (2009) . Accessed September 1, 2009, http://www.nttdocomo.co.jp/english/Google Scholar
• NTT DoCoMo USA, Inc. Lecture by Masaki Yoshikawa (President & CEO, NTT DoCoMo USA) on mobile wireless internet access. Seminar on internet accesss modes and e-commerce in East Asia (Sep. 28–Dec. 7). (2000) . Stanford University. US-Asia Technology Management Center. Accessed October 6, 2007, http://asia.stanford.edu/events/fall00/index.htmlGoogle Scholar
• OECD Information and communications technologies—OECD communications outlook 2009. (2009) . Accessed September 29, 2009, http://www.oecd.org/sti/telecom/outlookGoogle Scholar
• Oyer P. Fiscal year ends and nonlinear incentive contracts: The effect on business seasonality. Quart. J. Econom. (1998) 113(1):149–185Crossref, Google Scholar
• Padgett J. E., Günther C. G., Hattori T. Overview of wireless personal communications. IEEE Comm. Magazine (1995) 33(1):28–41Crossref, Google Scholar
• Prasad A., Mahajan V. How many pirates should a software firm tolerate? An analysis of piracy protection on the diffusion of software. Internat. J. Res. Marketing (2003) 20:337–353Crossref, Google Scholar
• Robinson B., Lakhani C. Dynamic price models for new product planning. Management Sci. (1975) 10(6):1113–1122Link, Google Scholar
• Sawng Y. W., Han H. S. Market analysis for the next-generation mobile communications (DMB) service from the perspective of innovation adoption and diffusion. Internat. J. Satellite Comm. Networking (2007) 25(4):323–348Crossref, Google Scholar
• Sethi S. P., Bass F. M. Optimal pricing in a hazard rate model of demand. Optimal Control Appl. Methods (2003) 24:183–196Crossref, Google Scholar
• Shankar V., Bayus B. L. Network effects and competition: An empirical analysis of the home video game industry. Strategic Management J. (2003) 24(4):375–384Crossref, Google Scholar
• Takada H., Jain D. Cross-national analysis of diffusion of consumer durable goods in Pacific rim countries. J. Marketing (1991) 55:48–54Crossref, Google Scholar
• Teng J. T., Thompson G. L. Oligopoly models for optimal advertising when production costs obey a learning curve. Management Sci. (1983) 29(9):1087–1101Link, Google Scholar
• Thompson G. L., Teng J. T. Optimal pricing and advertising policies for new product oligopoly models. Marketing Sci. (1984) 3(2):148–168Link, Google Scholar
• van der Bulte C., Lilien G. L. Bias and systematic change in the parameter estimates of macro-level diffusion models. Marketing Sci. (1997) 16(4):338–353Link, Google Scholar
• Web Japan Back to basics: no-frills cell phones attract older users. (2005) . Trends in Japan. Science and Technology. Accessed November 23, 2008, http://web-japan.org/trends/science/sci050114.htmlGoogle Scholar
• Wooldridge J. M.Econometric Analysis of Cross Section and Panel Data (2002) (The MIT Press, Cambridge, MA) Google Scholar
• Zhu F., Iansiti M. Dynamics of platform competition: Exploring the role of installed base, platform quality and consumer expectations. (2007) . Working paper 08-031, Harvard Business SchoolGoogle Scholar