Potential user factors driving adoption of IPTV. What are customers expecting from IPTV?

Internet Protocol Television (IPTV), the convergence services of television and Internet, is being rapidly developed around the world. The advent of digital technologies has changed the convergence market dramatically with the wide diffusion of the convergent services. Using the Technology Acceptance Model as a conceptual framework and method of logistic regression, this research analyzes the demand for IPTV by drawing data from 452 consumers. Individuals' responses to questions about whether they accept IPTV are collected and combined with observations of their socio-economic status and intrinsic/extrinsic factors modified from the Technology Acceptance Model. Results of logistic regression show two variables (intrinsic and extrinsic factors) that seem to explain what influences consumer behavior towards adopting IPTV. Overall, the logistic regression model explains over 50% of the variance in the IPTV adoption. The variances shed light on the multi-open platform environment that IPTV will forge.     

Enhancing firm performance through intra-group managerial experience: Evidence from group-affiliated firms in Korea

Asia Pacific Journal of Management - Although business groups often benefit from tangible and intangible resource sharing across member firms, little is known about whether and how sharing...     

Analysis and design of microfinance services: A case of ROSCA

Rotating savings and credit association (ROSCA) is a well-known microfinance association widely used in many countries around the world with long histories. By considering extra profits that such a system can provide when compared to banking transactions, we develop optimization problems to achieve an optimal design of a ROSCA. We find that ROSCAs might attract investors when deposit and loan rates from formal banking systems are not favorable. Furthermore, optimal rates and optimal orders to maximize system outputs are reported.     

Liquidity and Twin Crises

This paper proposes a simple analytical framework for understanding 'twin crises'– i.e. crises where a currency crisis and banking crisis occur simultaneously and reinforce each other. The distinguishing feature of such crises is the spill‐over effects across financial institutions through collateral constraints, declines in market values of assets, currency mismatches on the balance sheet and the endogenous amplification of financial distress through asset sales. We explore the role of liquidity and the role of monetary policy in such crises. In particular, a central question is whether raising interest rates in the face of a twin crisis is the appropriate policy response. Raising interest rates has two countervailing effects. Holding the domestic currency becomes more attractive (other things being equal), but the value of the domestic banking system falls due to the fall in asset prices. When assets are marked to market, there is a potential for endogenously generated financial distress that leads to a collapse of asset prices, as well as the exchange rate. It is thus possible that raising interest rates can have the perverse effect of exacerbating both the currency crisis and the banking crisis.     

Developing a quality prioritization procedure for IPTV service

This study developed a procedure to determine the quality priorities of the internet protocol television (IPTV) service. First, a set of key elements of IPTV service quality was developed based on a literature review and a focus group interview. Second, analytic hierarchy process and the Kano model were applied to identify the requirements of experts and customers, respectively. The experts measured the importance and difficulty of management, whereas the customers measured the satisfaction level and importance of each quality element. Third, quality priorities were calculated through the entropy principle and scenario-based analysis. The proposed procedure is illustrated with a case study of a telecommunications company in Korea.     

Interactions among China-Related Stocks

This paper explores the issue of causalities among five different indices of shares issued by Chinese firms, A and B Shares listed in the Shenzhen and Shanghai Stock Exchanges, and H Shares listed in the Stock Exchange of Hong Kong. By measuring cross autocorrelations and conducting Granger causality tests, we found that the causality relationships among the five different indices went through significant changes after early 1996; B Shares became more influential relative to the other shares. B Shares in China have tended to lead H Shares in Hong Kong since 1996. Although A Shares tended to lead B Shares before 1996, such relationships either disappeared or were reversed after 1996.     

The Effects of Oil Price on the Korean Economy: A Global VAR Approach

This article empirically explores the effects of oil price on the Korean economy using a Global VAR model. First, we evaluate the average connectedness of oil price with the Korean domestic variables over the precrisis period. We then investigate the time-varying contribution of oil price to the Korean financial and real sectors during and after the global financial crisis through recursive estimation. It is found that the contribution of oil price becomes very large in the case of real exports, equity prices, and real output, but plays a much less prevalent role in the remaining cases. In the meantime, the time-varying contribution of oil price to the Korean economy has not changed during and after the global financial crisis. Interestingly, we find that the Korean economy is affected mostly by overseas financial conditions in the short-term but it becomes more susceptible to oil price fluctuations in the long run, suggesting that Korea’s reliance on energy imports leaves the economy exposed to volatility in energy prices.     

An instrumental variable approach for panel unit root tests under cross-sectional dependence

For dynamic panel models with cross-sectional dependence, several unit root tests are constructed using a Huber-type instrument, whose null asymptotics are standard Gaussian and do not depend on nuisance parameters. A Monte-Carlo simulation shows that the proposed tests have better sizes and comparable powers relative to other two existing tests developed for cross-sectionally dependent dynamic panel models.     

The rationality and efficacy of decisions under uncertainty and the value of an experiment

Summary A decision maker faces a known prior distribution over payoff relevant states. We compare the expected utility of this individual under two scenarios. In the first, the decision maker makes a choice without further information. In the second, the decision maker has access to an experiment before choosing an action. However, the decision maker does not know the true joint distribution over states and messages. The value of the experiment as measured by the difference in the two utility levels can be negative as well as positive. We give a condition which is necessary and sufficient for the experiment to be valuable in our sense, for any decision problem.An earlier version of this paper was circulated under the title Noisy Bayes Updating and the Value of Information. We have gained from the comments of Stephen Coate, John Geanakoplos, Larry Samuelson, Timothy Van Zandt and seminar participants at Harvard Business School, Princeton, Boston University, the international conference on game theory at Stony Brook 1992 and the Winter meeting of the Econometric Society at Anaheim 1993. The first author received support for this project from NSF grant #SES-9308515 and a University of Pennsylvania Research Foundation Grant.