• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.9B
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• pp.822-831
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• 2008

This paper examines the theoretical and empirical technology diffusion processes to understand the Korean success in the internet access service markets. In order to do this, first, we propose an integrated demand diffusion model in terms of competition of inter-and intra-technologies and market structure as represented by the number of operators in the market. Second, by using the proposed model, we analyze the dynamic diffusion processes of Korean internet access services such as Narrow-band technology including Dial modem vs. Broad-band technology including ISDN, xDSL and Cable modem. The competition of inter-and intra-technologies as well as the extent of market competition has made a positive effect on the diffusion patterns of internet access demand. And also we propose, based on the proposed model and its empirical results, several implications for diffusion strategies and policies in the future of ICT market in Korea.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.141-147
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• 2014

Diffusion model is popular research topic in marketing and economy particularly for the areas of model specification and market size forecasting. In particular, Bass model can explain Roger's innovation diffusion and product life cycle through easy mathematical representation and hence the model has been widely used for the explanation of adopting innovative new products and technologies. Nonetheless, there're only a couple of pioneering researches about semiconductor market, using diffusion models. Consequently, we'd utilise NLS approach diffusion model to estimate the market potential of MOSFET, major switching device for power management of system, and explain the process to industry stakeholders and policy makers for delivery of managerial implication with pragmatic purpose.

• Asian Journal of Innovation and Policy
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• v.1 no.1
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• pp.50-70
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• 2012

This paper analyzes the factors that determine technology innovation in Korean manufacturing firms, focusing on the role of intra-firm knowledge diffusion and market strategy in patent production. For empirical analysis, zero-inflated negative binomial (ZINB) regression is applied to the 2009 Human Capital Corporate Panel data. The empirical findings confirm the critical role of intra-firm knowledge-sharing processes in technology innovation; firms with a market-leading strategy oriented to new product development also tend to be prolific in patent production.

• Telecommunications review
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• v.25 no.4
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• pp.605-621
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• 2015

The diffusion of smart devices has greatly influenced the market dynamics of the telecommunications industry. The competition paradigm has shifted from individual firm-based competition to ecosystem-based competition. To satisfy the diverse needs of market customers, it has become more important for telecommunications companies to form alliances with complementary partners in the ecosystem. This study empirically investigates the influence of ecosystem-based alliance formations on the financial performance of firms in the Korean telecommunications market. Specifically, the impact of a CPND (Content, Platforms, Networks, and Devices) alliance in the ICT (Information and Communications Technology) sector on firms' profitability is examined using a structural equation model. The results indicate that before the diffusion of smart devices, ecosystem-based alliance formations with other firms in the ICT ecosystem were not effective for enhancing profitability. However, after this diffusion, alliance formation between members of the value chain in the ICT ecosystem contributed significantly to firms' financial performance. This implies that recent alliances with firms that are constituents of the ICT ecosystem are an important element of profit generation in the ICT market in Korea.

• The Journal of Society for e-Business Studies
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• v.17 no.2
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• pp.63-72
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• 2012

The Korean telecommunications market has been expanding swiftly, these days, to be saturated. In this environment, the upcoming mobile telecommunication market, where 4G service was introduced this year, is becoming more substitutive and competitive. Thus, the demand forecasting of 4G service is very difficult, while it is critical to market success. This paper adopts a multi-generation diffusion model to capture the diffusion and substitution patterns for two successive generation of technological services, i.e., 3G and 4G mobile telecommunications services. The three parameters, i.e., the coefficient of innovation, the coefficient of imitation, and the coefficient of market potential, used in the multi-generation diffusion model based on Norton and Bass[11] are obtained by inference from similar substitutive relations between older and newer telecommunication services to 3G and 4G services. The simulation results show that the Bass type multi-generation model can be successfully applied to the demand forecasting of newly introduced 4G mobile telecommunication service.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.403-414
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• 2014

Forecasting technology in economic activity is a quite intricate procedure so researchers should grasp the point of the data to use. Diffusion models have been widely used for forecasting market demand and measuring the degree of technology diffusion. However, there is a question that a model, explaining a certain market with goodness of fit, always shows good performance with markets of different conditions. The primary aim of this paper is to explore diffusion models which are frequently used by researchers, and to help readers better understanding on those models. In this study, Logistic, Gompertz and Bass models are used for forecasting Global Wireline Subscribers and the performance of models is measured by Mean Absolute Percentage Error. Logistic model shows better MAPE than the other two. A possible extension of this study may verify which model reflects characteristics of industry better.

• Korean Management Science Review
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• v.25 no.1
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• pp.169-191
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• 2008

In this paper, we examined the difference of the effects of buying factors in two consumer segments divided by the innovative behavior for digital convergence products, and developed relevant managerial implications. As the digital convergence product could be understood as a innovative bundling product, the buying factors of the digital convergence products were clustered in 3 groups : common innovation-bundling factors, innovation factors and bundling factors. Tests for the difference of regression coefficients of the purchasing factors in the two markets show that (1) the early market is affected by both of the common innovation-bundling factors and the innovation factors, while the mainstream market is affected by all of the common innovation-bundling factors. the innovation factors and the bundling factors, (2) the early market is more affected by the technical benefit, while the mainstream market is more affected by the pragmatic benefit, and (3) both of the two markets are affected by the compatibility and the message communicability. The relevant managerial implications for the successive diffusion of the digital convergence products can include (1) in the entire period of the diffusion. enhancing the compatibility between consumer and product concept, performing constant and differentiated marketing communication activities, (2) in the early market of the diffusion, introducing unique innovative product which provides obvious and differential synergy through the convergence, appealing to the technical benefit, and (3) in the mainstream market of the diffusion, improving the qualities and features of individual products for the digital convergence product, appealing to the pragmatic benefit, reducing the complexity of product.

• Korean Management Science Review
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• v.19 no.2
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• pp.125-137
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• 2002

The telecommunications market is expanding rapidly and becoming more substitutive. In this environment, demand forecasting is very difficult, yet important for both practitioners and researchers. in this paper, we adopt the modeling approach proposed dy Jun and Park ［6］. The basic premise is that demand patterns result from choice behavior, where customers choose a product to maximize their utility. We apply a choice-based substitutive diffusion model to the Korean mobile telecommunication service market where digital service has completely replaced analog service. In comparison with Bass-type multigeneration models. our model provides superior fitting and forecasting performance. The choice-based model is useful in that it enables the description of such complicated environments and provides the flexibility to include marketing mix variables such as price and advertising in the regression analysis.

• Journal of Korean Institute of Industrial Engineers
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• v.29 no.1
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• pp.14-20
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• 2003

The purpose of this paper is an attempt to analyze the dynamic relationship between KSE and KOSDAQ, two competing markets in Korean stock market, in the viewpoint of competition. Lotka-Volterra model, one of well-known competitive diffusion model, is adopted to represent the competitive situations of Korean stock market and it is estimated using daily empirical index data of KSE and KOSDAQ during 1997~2001. The results show that there existed a predator-prey relationship between two markets in which KSE acted as a predator right after the emergence of KOSDAQ. This interaction was altered to a symbiotic relationship and finally to the pure competition relationship. We also perform an equilibrium analysis of the estimated Lotka-Volterra equations and, as a result, it is found that there is a market index equilibrium point that would be stable in the latest relationship.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.15-26
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• 2006

In reality, we can observe anomalous diffusion patterns of cycle-recycle or rejuvenation. Abrupt changes in the market environment such as sudden currency devaluation or change in government policy or those in marketing strategies such as drastic repositioning can lead to such atypical diffusion patterns. The authors present extended Bass models that incorporate effects of such abrupt changes of external factors into the hazard rate and the market potential. Using a set of compact-car data affected by a drastic change in the government policy, they illustrate the strengths of the proposed models.