Factors affecting successful innovation by content-layer firms in Korea

Technological convergence is changing the division of industries from vertical to horizontal; it has also made user participation easier in information and communication technology industries. To understand this situation, it is necessary to identify the causes of successful innovation. In this research, factors affecting successful innovation by mobile and Internet contents firms were tested from the viewpoint of user-involved innovation. The results show that active user participation in the innovation development process is very important. In addition to being useful to firms, this study points out the need for policies that support users to policy makers.     

Investigation of factors affecting the diffusion of mobile telephone services: An empirical analysis for Vietnam

This paper analyzes the diffusion of mobile telecommunications services in Vietnam and examines how telecommunications regulation and potential substitute/complement services affect the growth of the number of mobile telephone subscribers. Using a logistic diffusion model, it is found that fixed telephone services are a complement while data services have a negative relation to mobile telephone services in Vietnam. As for regulation, the policy of introducing competition has been found to be the most effective in influencing the adoption of mobile services. Another important result is that the estimated potential market is roughly 76% of the total population. The findings suggest that suitable regulation that guarantees competition in the mobile telecommunications market in a developing country such as Vietnam is one of the most important factors for a positive diffusion process.     

Competition in the Korean Internet Portal Market: Network Effects, Profit, and Market Efficiency

Internet portals serve as platforms for coordinating advertisements, content, and user markets. We model portal structure with South Korean market data to explain network effects and other competition factors. We also analyze network effects on profit and market efficiency. The results indicate a negative network effect from banner advertisements in the user market, which is countered by a network effect from content provision. In the advertising market, the network effect from user demand is positively identified, which explains profit making through increased user visits. Furthermore, we show that network effects due to market concentration result in increases in consumer surplus.     

External knowledge search,innovative performance and productivity in the Korean ICT sector

In recent years, Korea’s Information and Communication Technology (ICT) industry has grown rapidly. The prosperity of the ICT industry has brought growing recognition that rising productivity and innovative performance have made major contributions to ensuring competitive advantage in international markets. In this context, recent studies stress the importance of external knowledge for improving both innovative performance and productivity. This paper empirically investigates the effects of firms’ external knowledge search behavior on their productivity as well as their innovative performance in the Korean ICT manufacturing sector. Based on firm-level data from the Science and Technology Policy Institute (STEPI), this study indicates that incremental innovation and productivity are both related to external knowledge search.     

An analysis of the effect of software intellectual property rights on the performance of software firms in South Korea

This paper explores the effect of software intellectual property rights (IPRs) on the performance of software firms in South Korea using the statistics of software copyright registrations and patent applications along with the financial statements of firms. According to our empirical results, R&D and software R&D input has a strong positive effect on the production of software copyrights and patents, and large firms exploit software IPRs better than small firms. We also found that there are quite different trends in the selection of the legal means of protection; firms in the software industry prefer to copyrighting, whereas firms in the manufacturing industry prefer to patenting. In addition, software copyrighting has a positive effect on software revenue and total revenue of firms, but software patenting fails to show a positive effect on software revenue. Consequently, in contrast to the prevailing consensus indicating a high preference for patenting, it is obvious in our analysis that software copyrighting is more beneficial for software firms.     

A dynamic framework for analyzing technology standardisation using network analysis and game theory

As more technologies and industries converge, technology standards are more likely to be a strategic factor for firms and governments that are interested in the market with standards-based competition. From the previous research, a new standardisation framework was proposed by combining network analysis and the game theory model but was constrained by feasibility and dynamic approach. In this study, the case of the standards war between HD-DVD and Blu-ray was analyzed with patent data as an empirical case considering a dynamic framework. With this framework, we observed a change in a firm’s technology relations and could predict the decline in a firm’s preference and the shift of equilibrium ahead of Toshiba’s resignation.     

Technology convergence capability and firm innovation in the manufacturing sector: an approach based on patent network analysis

As a consequence of the convergence between manufacturing technology and the foundation technologies of Industry 4.0, it is becoming more important for firms to formulate an innovation strategy for their technological capabilities. In this context, the present study measures firm‐level technology convergence (TC) capability using patent network analysis. A firm’s TC capabilities are measured using three centrality indices pertaining to a patent network, which is constructed based on the relationship between patents and their international patent classification. For the empirical analysis, panel regression is conducted to observe the effect of TC capabilities on innovation for the top 30 firms in four manufacturing industries. We find that the TC degree positively influences the firms’ overall innovation, namely their total number of patents, and negatively influences their convergent innovation, calculated as the ratio between the number of TC patents and the total number of patents, while the effect of TC betweenness is the opposite. These findings imply that while concentrating on similar technologies may promote quick technology application, it could hamper the enhancement of a TC’s potential. To promote TC, a firm should thus develop technologies more likely to be involved in TC.     

The influence of regulations on the efficiency of telecommunications operators: A meta-frontier analysis

The telecommunications industry has a great ripple effect on the overall national economy. However, there is no consensus about what is the optimal regulation policy for the telecommunications industry. Regulations on the telecommunications industry are different by region (i.e. United States, European Union and Asia). A number of studies have been conducted on comparative efficiency analysis for different policies that apply stochastic frontier analysis or data envelope analysis. However, these comparative studies are inappropriate because the production functions for each region are not identical. Thus, this paper addresses meta-frontier methodology, which can reflect differences in production functions. The results indicate that the United States has the highest meta-frontier efficiency in contrast to previous research findings.     

Network neutrality and difference in efficiency among Internet application service providers: A meta-frontier analysis

As Internet applications evolve and require wider and more stable bandwidth, Internet service providers (ISPs) try to maximize their profit by controlling application service providers (ASPs); this has caused a network neutrality debate. This article categorizes ASPs into four groups by bandwidth-usage attributes and latency sensitivity. By estimating the efficiency of these groups, their efficiency differences are estimated, indicating evidence of discrimination of ISPs when network neutrality is not maintained. Meta-frontier analysis is used to compare efficiencies across companies using different production function technologies. Finally, a Tobit regression model is used to determine which variables explain the difference of efficiencies. The estimation result indicates that the discrimination of ISPs against ASPs is not significant enough to decrease the efficiency of any application group.     

Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach

Opinion leaders are the people in a social network who have the greatest influence on other people's acknowledgment or adoption of products/services in the diffusion process of technological innovation. In this research, we investigate which opinion leader is the best marketing choice in terms of diffusion speed and maximum cumulative number of adopters, using a social network approach and threshold model. On the basis of the simulation result, we find that opinion leaders with high sociality are the best ones for fast diffusion, whereas those with high distance centrality are the best ones for the maximum cumulative number of adopters. Moreover, we conclude that the characteristics of effective opinion leaders selected as initial adopters could vary depending on the characteristics of the social network and type of innovation. Finally, we find that opinion leaders affect the diffusion process only when the percentage of initial adopters reaches a critical mass.