HOUSEHOLD-USE VERSUS BUSINESS-USE DEMAND DIFFUSION OF TELEPHONE AND INTERNET ACCESS SERVICE IN KOREA

It is well known that the diffusion of the Internet over society has been faster than that of the traditional telecommunication service such as the telephone. There are some differences between the demand diffusion patterns of telephone services and the Internet as well as among the demand attributes, thus we focus on these differences. With each service, demand attributes comprise of business-use and household-use. In particular, Loglet analysis is used for comparing the diffusion pattern demand-attributes for the services. Firstly, from the analysis, during the overall reference period, the diffusion rate of the Internet is larger than that of telephone. Secondly, the gap between the diffusion rates of household-use and business-use in the Internet is much larger than it is for the telephone. Thirdly, the estimated potential demands of the Internet household-use are surprisingly similar to the present number of telephone users. We also examine country-specific factors underlying the diffusion of Internet access service in Korea.

[1]  Namwoon Kim,et al.  A simultaneous model for innovative product categorysales diffusion and competitive dynamics , 1999 .

[2]  V. Mahajan,et al.  The adoption of the M-form organizational structure: a test of imitation hypothesis , 1988 .

[3]  Ken Peffers,et al.  Competitor and vendor influence on the adoption of innovative applications in electronic commerce , 1998, Inf. Manag..

[4]  Christopher Podmore Information economics and policy: In the United States edited by Michael Rubin Libraries Unlimited, Littleton, CO 1983, 340 pp , 1984 .

[5]  J. C. Fisher,et al.  A simple substitution model of technological change , 1971 .

[6]  R. Fildes,et al.  Telecommunications demand forecasting—a review , 2002 .

[7]  E. Mansfield TECHNICAL CHANGE AND THE RATE OF IMITATION , 1961 .

[8]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[9]  Ambar G. Rao,et al.  Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment , 1981 .

[10]  L. Fourt,et al.  Early Prediction of Market Success for New Grocery Products , 1960 .

[11]  Heejin Lee,et al.  The Growth of Broadband and Electronic Commerce in South Korea: Contributing Factors , 2003, Inf. Soc..

[12]  Ho Kim,et al.  INNOVATION DIFFUSION OF TELECOMMUNICATIONS: GENERAL PATTERNS, DIFFUSION CLUSTERS AND DIFFERENCES BY TECHNOLOGICAL ATTRIBUTE , 2004 .

[13]  Nakil Sung,et al.  Substitution between Mobile and Fixed Telephones in Korea , 2002 .

[14]  Vijay Mahajan,et al.  A multi-attribute diffusion model for forecasting the adoption of investment alternatives for consumers , 1985 .

[15]  Byong-Hun Ahn,et al.  Cross ownership of wireline and wireless communications carriers: synergy or collusion? , 2003, Inf. Econ. Policy.

[16]  Jesse H. Ausubel,et al.  A Primer on Logistic Growth and Substitution: The Mathematics of the Loglet Lab Software , 1999 .

[17]  Masataka Yamada,et al.  Forecasting with a repeat purchase diffusion model , 1988 .

[18]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[19]  Perrin Meyer,et al.  Bi-logistic growth , 1994 .

[20]  P. Geroski Models of technology diffusion , 2000 .

[21]  Gary Madden,et al.  Economic determinants of global mobile telephony growth , 2004, Inf. Econ. Policy.

[22]  T. S. Robertson,et al.  Modeling Multinational Diffusion Patterns: An Efficient Methodology , 1989 .

[23]  John J. Liu,et al.  Channel redistribution with direct selling , 2003, Eur. J. Oper. Res..

[24]  T. Modis,et al.  Innovation in the computer industry , 1988 .

[25]  E. Rogers,et al.  The diffusion of interactive communication innovations and the critical mass: the adoption of telecommunications services by German banks , 1999 .

[26]  Bruce R. Robinson,et al.  Dynamic Price Models for New-Product Planning , 1975 .

[27]  Jesse H. Ausubel,et al.  Carrying Capacity: A Model with Logistically Varying Limits , 1999 .

[28]  Nicoletta Corrocher,et al.  The diffusion of Internet telephony among consumers and firms , 2003 .

[29]  Richard W. Olshavsky,et al.  Time and the Rate of Adoption of Innovations , 1980 .