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      Diffusion Patterns of Mobile Telecommunications Services in the European Countries

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      https://www.riss.kr/link?id=A104987123

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      다국어 초록 (Multilingual Abstract)

      Mobile telecom markets have dramatically increased in the last decade due to a remarkable subscriber base growth. The diffusion patterns of the services are a major concern for mobile carriers preparing those new services. We assume that the diffusion patterns of those services will be similar to those of previous mobile services, and discovering the diffusion patterns of those services is an essential task of mobile carriers for preparing the next mobile services. This study attempts to classify some groups which show similar diffusion patterns of mobile services. Using a traditional diffusion model, this study estimates diffusion patterns of twenty five western European countries. The estimation is based on the monthly penetration ratio of those countries from 1993 to 2004. Based on the estimation, the cluster analysis discovers that there are two different countries groups in terms of mobile diffusion pattern: high imitation countries and low imitation countries. The critical point for classifying the two groups in terms of imitation effect was 0.90. The results provide the basis for developing a causal relationship model which explains the different diffusion pattern of mobile services and planning new networks for the advanced mobile services.
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      Mobile telecom markets have dramatically increased in the last decade due to a remarkable subscriber base growth. The diffusion patterns of the services are a major concern for mobile carriers preparing those new services. We assume that the diffusion...

      Mobile telecom markets have dramatically increased in the last decade due to a remarkable subscriber base growth. The diffusion patterns of the services are a major concern for mobile carriers preparing those new services. We assume that the diffusion patterns of those services will be similar to those of previous mobile services, and discovering the diffusion patterns of those services is an essential task of mobile carriers for preparing the next mobile services. This study attempts to classify some groups which show similar diffusion patterns of mobile services. Using a traditional diffusion model, this study estimates diffusion patterns of twenty five western European countries. The estimation is based on the monthly penetration ratio of those countries from 1993 to 2004. Based on the estimation, the cluster analysis discovers that there are two different countries groups in terms of mobile diffusion pattern: high imitation countries and low imitation countries. The critical point for classifying the two groups in terms of imitation effect was 0.90. The results provide the basis for developing a causal relationship model which explains the different diffusion pattern of mobile services and planning new networks for the advanced mobile services.

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      참고문헌 (Reference)

      1 ITU, "World Telecommunication Development Report 2003: Access Indicators for the Information Society: International Telecommunications Union (ITU)" ITU 2004

      2 Wareham, J., "Wireless Diffusion and Mobile Computing : Implications for the Digital Divide" 28 (28): 439-457, 2004

      3 Ilonen, J., "Toward Automatic Forecasts for Diffusion of Innovations" 73 (73): 182-198, 2006

      4 Jang, S. L., "The Pattern and Externality Effect of Diffusion of Mobile T elecommun ication s : t he C ase of t he O ECD an d Taiwan" 17 (17): 133-148, 2005

      5 Gruber, H., "The Diffusion of Mobile Telecommunications Services i n the E uropean Un ion" 45 (45): 577-588, 2001

      6 Scaglione, M., "The Diffusion of Mobile Social Networking : Exploring Adoption Externalities in Four G7 Countries" 31 (31): 1159-1170, 2015

      7 Botelho, A., "The Diffusion of Cellular Phones in Portugal" 28 (28): 427-437, 2004

      8 Park, S., "Separating Early-adopters from the Majority : The Case of Broadband Internet Access in Korea" 72 (72): 301-325, 2005

      9 Mahajan, V., "New Product Diffusion Models in Marketing : A Review and Directions for Research" 54 (54): 1-26, 1990

      10 Hair, J. F., "Multivariate Data Analysis" Prentice-Hall, Inc 1998

      1 ITU, "World Telecommunication Development Report 2003: Access Indicators for the Information Society: International Telecommunications Union (ITU)" ITU 2004

      2 Wareham, J., "Wireless Diffusion and Mobile Computing : Implications for the Digital Divide" 28 (28): 439-457, 2004

      3 Ilonen, J., "Toward Automatic Forecasts for Diffusion of Innovations" 73 (73): 182-198, 2006

      4 Jang, S. L., "The Pattern and Externality Effect of Diffusion of Mobile T elecommun ication s : t he C ase of t he O ECD an d Taiwan" 17 (17): 133-148, 2005

      5 Gruber, H., "The Diffusion of Mobile Telecommunications Services i n the E uropean Un ion" 45 (45): 577-588, 2001

      6 Scaglione, M., "The Diffusion of Mobile Social Networking : Exploring Adoption Externalities in Four G7 Countries" 31 (31): 1159-1170, 2015

      7 Botelho, A., "The Diffusion of Cellular Phones in Portugal" 28 (28): 427-437, 2004

      8 Park, S., "Separating Early-adopters from the Majority : The Case of Broadband Internet Access in Korea" 72 (72): 301-325, 2005

      9 Mahajan, V., "New Product Diffusion Models in Marketing : A Review and Directions for Research" 54 (54): 1-26, 1990

      10 Hair, J. F., "Multivariate Data Analysis" Prentice-Hall, Inc 1998

      11 Mobile Communications, "Mobile Communications"

      12 Beise, M., "Lead markets : Country-Specific Drivers of the Global Diffusion of Innovations" 33 (33): 997-1018, 2004

      13 Kongaut, C., "Investigating Mobile Broadband Adoption and Usage : A C ase o f Smartphon es in Sweden" 33 (33): 742-752, 2016

      14 Zhang, X., "Exploring the Patterns and Determinants of the Global Mobile Divide" 34 (34): 438-449, 2017

      15 Iimi, A., "Estimating Demand for Cellular Phone Services in Japan" 29 (29): 3-23, 2005

      16 Wade, J., "Dynamics of Organizational Communities and Technological Bandwagons : An Empirical Investigation of Community Evolution in the Microprocessor Market" 16 (16): 111-133, 1995

      17 Bohlin, A., "Diffusion of New Technology Generations in Mobile Communications" 22 (22): 51-60, 2010

      18 Grantham, A., "Diffusion Wireless Applications in a Mobile World" 27 (27): 85-104, 2005

      19 Wu, F. S., "Diffusion Models of Mobile Telephony" 63 (63): 497-501, 2010

      20 Kiiski, S., "Cross-country Diffusion of the Internet" 14 (14): 297-310, 2002

      21 Laffont, J. J., "Competition in Telecommunications" The MIT Press 2002

      22 Gruber, H., "Competition and Innovation : the Diffusion of Mobile Telecommunications in Central and Eastern Europe" 13 (13): 19-34, 2001

      23 Shieh, L. F., "Analyzing the Factors that Affect the Adoption of Mobile Services in Taiwan" 87 : 80-88, 2014

      24 Gamboa, L. F., "An Estimation of the Pattern of Diffusion of Mobile Phones : The Case of Colombia" 33 (33): 611-620, 2009

      25 Lee, S., "An Empirical Analysis of Fixed and Mobile Broadband Diffusion" 23 (23): 227-233, 2011

      26 Frank, L. D., "An Analysis of the Effect of the Economic Situation on Modeling and Forecasting the Diffusion of Wireless Communications in Finland" 71 (71): 391-403, 2004

      27 Bass, F. M., "A New Product Growth for Model Consumer Durables" 15 (15): 215-227, 1969

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.31 1.31 1.14
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      1.21 1.2 1.278 0.16
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