Jeong-Dong Lee

E‐government adoption in ASEAN: the case of Cambodia

Purpose – The purpose of this paper is to examine the factors that influence e‐government adoption in Cambodia as one of the Association of Southeast Asian Nations (ASEAN) member states.Design/methodology/approach – This study uses the technology acceptance model (TAM), the extended TAM (TAM2), the diffusion of innovations (DOI) theory, and trust to build a parsimonious yet comprehensive model of user adoption of e‐government. The authors test the model with an empirical study. Data are collected from a total of 112 public officers in 12 ministries in Cambodia. The research model is then assessed with multiple regression analyses.Findings – The findings in this study show that the determinants of the research model (perceived usefulness, relative advantage, and trust) are support. At the same time, the important determinants of perceived usefulness include image and output quality.Practical implications – The study would help government policy decision makers design and implement policies and strategies t...

E‐government adoption in Cambodia: a partial least squares approach

Purpose – The purpose of this paper is to investigate factors influencing end‐user acceptance and use of government administration information system (GAIS).Design/methodology/approach – A conceptual structural model of end‐user acceptance and use of the GAIS was developed with technology acceptance model as a theoretical background and tested using a structural equation modeling with partial least squares (PLS) approach on a data collected from a survey among 112 public officers in 12 ministries in Cambodia.Findings – The results indicate that the factors influencing end‐user adoption of the GAIS are significantly affected by perceived usefulness, relative advantage, and trust. Perceived usefulness of the GAIS is directly affected by subjective norm, image, output quality, and perceived ease of use.Practical implications – The results are of practical significance to all those interested in this area, mainly the government policy makers and practitioners in Cambodias public services.Originality/value – ...

An in-depth empirical analysis of patent citation counts using zero-inflated count data model: The case of KIST

Patent citation counts represent an aspect of patent quality and knowledge flow. Especially, citation data of US patents contain most valuable pieces of the information among other patents. This paper identifies the factors affecting patent citation counts using US patents belonging to Korea Institute of Science and Technology (KIST). For patent citation count model, zero-inflated models are announced to handle the excess zero data. For explanatory factors, research team characteristics, invention-specific characteristics, and geographical domain related characteristics are suggested. As results, the size of invention and the degree of dependence upon Japanese technological domain significantly affect patent citation counts of KIST.

Measuring the Role of Technology-Push and Demand-Pull in the Dynamic Development of Semiconductor Industry: The Case of the Global DRAM Market

This paper reexamines and resolves the long dispute over the source of technological innovation by suggesting an integrated technology-push and demand-pull model. We derive an equilibrium model within the framework of differentiated product analysis and explain the dynamic interaction between these two sources of innovation. Based on the empirical analysis of the global DRAM market, we show that the relative importance of technology-push and demandpull in technological innovation is described by an L-type curve which describes the phenomenon where technology-push is greater than demand-pull in the early stages and then decreases as demand-pull becomes greater. Our finding suggests that the role of supply and demand is different in inducing technological change and their relative importance changes with product development over the technological life cycle; the marginal prices of products are an important factor in determining the principal forces of technological innovation between these two sources.

Technological Progress versus Efficiency Gain in Manufacturing Sectors

This study decomposes the nonparametric Malmquist productivity index for 36 Korean manufacturing sectors into two components: technological change and technical efficiency change. The empirical results show that while each sector displays quite different growth patterns, productivity growth is dominated by technological change. Technological change is found to have a negative correlation with efficiency change. Secondary regression performed in this study identifies the relationship between productivity growth measures and several key policy variables, such as effective protection rate, market concentration, and so forth. The productivity estimates are compared with those of the conventional Tornqvist productivity index.

Strategy of start-ups for IPO timing across high technology industries

The technology-based start-ups have emerged as important drivers of innovative activity across many industries. For these start-ups, the initial public offering (IPO) has been used as a measure for performance and leads to an influx of capital that enables these firms to implement their ideas. In this study, we focus on the timing of IPO between two industries. Empirically, we investigated corporate disclosure data and patent application data from 36 biotechnology (BT) firms and 166 information technology (IT) firms that are registered in KOSDAQ between 2000 and 2004. The results show that IT start-ups had better wait until the stock market becomes bullish, while BT start-ups had better go public quickly if possible.

International comparisons of productivity and its determinants in the natural gas industry

The objective of this paper was to evaluate the performance of the natural gas industry using an inter-country comparison of productivity level and its determinants. Three method- ologies: multilateral Tornqvist productivity analysis; managerial index system analysis; and ¨ non-parametric efficiency analysis, are employed to make a methodological cross-checking and to perform diversified analysis. From the empirical results, we identified the level and growth rate of productivity of individual firms. The results also indicated that the Korean gas industry has shown a relatively low level of productivity. From the results of managerial performance index analysis, we found that during the recent years of regulatory changes, the final price of gas has decreased dramatically while the productivity growth has not been enough to offset the effect of decreased output price, which has resulted in decreased profit. We also examine the extent of the allocative, scale, and managerial efficiency as source components of the overall efficiency based on the performance of best-practiced. With the results of this study, an effective policy measure could be established to improve the productivity and the overall managerial performance in the natural gas industry. Q 1999 Elsevier Science B.V. All rights reserved.

Using stated-preference data to measure the inconvenience cost of spam among Korean E-mail users

E-mail is an efficient communication tool, but at the same time it is an efficient vehicle for Internet pollution in the form of spam—unsolicited, bulk e-mailings. Spam is a global phenomenon, and debate about possible means of controlling it is lively. Spammers impose a negative externality on users. The volume of spam-type e-mail sent is above the social optimum and thus produces dead-weight. To solve the spam problem and evaluate spam-control measures, one needs to measure the disutility experienced by e-mail users who receive spam. The current study employs conjoint analysis of stated-preference data to estimate e-mail users’ overall inconvenience cost attributable to spam. The results show the inconvenience cost of spam to be about 3.067 won (US

Korean Wireless Data Communication Markets and Consumer Technology

0.0026) per spam message.

Productivity growth, capacity utilization, and technological progress in the natural gas industry

At the end of the 20th century the focus of communication service markets shifted from voice to data. Simultaneously, wireless communication became mobile, spreading globally, and produced an immense economic impact, with external effects impacting on related industry. However, voice service provider revenues declined due to a slowdown in subscription growth and falls in calling charges. Service providers have offered data services based on the mobile communication networks as an alternative (mobile Internet). However, the traditional economic framework is not applicable to this mobile Internet environment since both the volume of data traffic and revenues are slight, as is the rate of increase. Moreover, new wireless technology such as wireless LAN and Bluetooth are developed to further threaten incumbents. Accordingly, uncertainty about the returns to enormous investments in the communications facilities has increased. Further, within the mobile communications industry, the relative importance of data communication as opposed to voice is growing.