This paper proposed a quantitative evaluation method to measure the operational effectiveness of the local military manpower administrations. The proposed method compared the relative operational effectiveness level for 12 local military manpower administrations in Korea.. The method used the IDEA (imprecise Data Envelopment Analysis) model which Is able to measure relative operational effectiveness level, and also used two input variables (labor cost, operational cost) and three output variables (number of military applicants, number of civil application approved & processed, management accuracy level). Through the model output analysis, we presented the relative effectiveness scores, the reason for non-effectiveness, and the relationship between non-effective ness level and input/output variables for each local military manpower administration. We also presented a few recommendations how to improve the effectiveness level on particular local military manpower administration.

The bootstrap is a method of computational inference that simulates the creation of new data by resampling from a single data set. We propose a new job for the bootstrap: generating inputs from one historical trace using Threshold Bootstrap. In this regard, the most important quality of bootstrap samples is that they be functionally indistinguishable from independent samples of the same stochastic process. We describe a quantitative measure of difference between two time series, and demonstrate the sensitivity of this measure for discriminating between two data generating processes. Utilizing this distance measure for the task of generating inputs, we show a way of tuning the bootstrap using a single observed trace. This application of the threshold bootstrap will be a powerful tool for Monte Carlo simulation. Monte Carlo simulation analysis relies on built-in input generators. These generators make unrealistic assumptions about independence and marginal distributions. The alternative source of inputs, historical trace data, though realistic by definition, provides only a single input stream for simulation. One benefit of our method would be expanding the number of inputs achieving reality by driving system models with actual historical input series. Another benefit might be the automatic generation of lifelike scenarios for the field of finance.

As the electronic commerce has grown dramatically, visiting the Internet shopping malls is accepted as one of our daily life. Despite many studies about user acceptance of the Internet shopping malls, it still remains unanswered how the Internet shopping mall's three quality factors such as system qualify, Information qualify, and service quality affect user trust, and eventually user acceptance of the mall. To investigate this issue, we propose a research model in which six external factors such as three qualify factors as well as self-efficacy, subjective norm, and trust have a significant impact on user's attitude and intention to use the mall. After garnering 244 valid questionnaires from users, we analyze them with structural equation modeling. Experiment results show that the Internet shopping mall's three quality factors such as system quality, information qualify, and service quality significantly Influence user trust for the mall, which in turn impacts user's perceived usefulness, attitude toward using the mall. Another external factors such as self-efficacy and subjective norm also influence user's perceived ease of use and perceived usefulness respectively, affecting user's attitude altogether. Implications and further research directions are presented.

Online game business has emerged as the most lucrative entertainment Industry, with over 10 million players in South Korea. The popularity of online games can be attributed to the availability of broadband network and the presence of numerous PC Bangs and around the country, which have pushed online games Into the main-stream entertainment culture. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the interactive entertainment market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors influence online game players' behavioral intentions to play continuously in this area. It appears that in this extremely attractive and growing services segment, academics, as well as practitioners, would benefit from in vestigating the relationships among the players' loyalty, interactivity, the sense of presence and the impacts of several other key game-related constructs. Several types of interaction in on-line games and their relationship with the flow construct are investigated, and the resulting conceptual model is proposed. Based on data collected from online questionnaire survey, the validity of the simultaneous equation model has been tested and interesting conclusions have been developed concerning the relationships between the players' loyalty to the sense of presence, flow, satisfaction and interactions. Other interesting results concerning game development strategy are also provided.

This study aims at defining the factors affecting adoption intentions for portable Internet services based on the characteristics of individuals creating the markets and developing strategies of the service, which is expected to be the next-generation telecommunication service. For this Purpose, two types of sub-factors are defined : characteristics of individuals including demographic statistics, usage of existing services, prior cognition, adoption attitudes and service assessments : and adoption Intentions including willingness for subscription, subscription period, willingness to pay, types of usage and preferred device. The results of the study indicate that demographical statistical variables vary depending upon the levels of adoption intentions, and that users of mobile Internet services via mobile phones and wireless LANs are highly probable of being targets for the portable Internet services. Furthermore, the results demonstrate demands for enhancing recognition of the usefulness and ease of use of the services and intense marketing activities for potential users bearing innovativeness to stimulate the market of the portable Internet service. The author is confident that this study will significantly contribute to the successful market entrance of portable Internet service, and also to growth in the market.

We are going to make clear three things through the examination of the subject of this study. The first thing is to verify whether perceived usefulness and ease of use of usage have positive effects on trust and satisfaction which determine the loyalty of a shopping mall. The second Is to find out the effect of perceived usefulness and ease of use of using internet shopping mall on shopping mall's loyalty through variable intermediation of trust and satisfaction. The third is to emphasize the importance of perceived usefulness and ease of use of using a shopping mall web sites and carrying out a through analyzing path that usefulness and ease of use are intermediated by trust and satisfaction to loyalty. We made a poll to people who had ever used internet shopping mall and got Information. The results are below. The easer internet shopping mail users feel when using shopping mall sites, the more they feel them useful. Perceived usefulness and ease of use of usage have positive effects on trust and satisfaction which are major preceding factors of Internet shopping mall loyalty. The perceived ease of use, trust, and satisfaction intermediate between the perceived ease of use and shopping mall's loyally while users are accepting internet shopping mali. And trust and satisfaction intermediate between the perceived usefulness and shopping mall's loyalty. These results show that the degree of usefulness and feeling easiness in using shopping mall of users should be considered seriously. The only easiness of shopping mall doesn't create shopping mail's loyalty, but, It's created when users acknowledge the usefulness, trust, and satisfy.

Korean government is planning to adopt double entry bookkeeping with accrual basis in the government accounting system. This paper attempts to identify influencing attitudes of information producers toward the acceptance of the new service system. Several models are introduced, including Luder's Contingency Model, Cheng's Politico-Economic Model of Accounting Policy Choice, Roger's Diffusion of innovation, and Davis's Technology Acceptance Model(TAM). A set of constructs are developed as fellows : information producers' knowledges, experiences, altitudes toward the reform, characteristics of cash based accounting system and new accrual based system, a chief executive officer's willingness to support, availability of supporting systems, and social Influences from external environment. This study also incudes hey factors used in TAM, such as perceived usefulness and ease of use. Survey responses are gathered from accounting officers in government ministries and agencies as well as from local governments. Regression analysis shows that, for information producers, both 'perceived ease of use' and 'perceived usefulness' of the new system are the best explanatory variable for the dependent variable. It has also found that 'perceived usefulness' is explained best by individual characteristics such as knowledge and experiences, quality of current cash based s1n91e entry bookkeeping system, chief executive's support, Positive supporting systems and social influences. The useful guidelines for implementing double-entry bookkeeping system with accrual basis are also provided.

This study aims at identifying the motive and infra that can satisfy them and enable them to succeed by coming out of existing customers control method focused on data and acquiring and applying the knowledge customers have. It also aims at enabling corporations to carry out more developed customer relations. This study will prove that acquiring and applying customers' knowledge is effective and will come up with a stepping-stone to get rid of dangerous factors by having competitiveness in a competitive environment and extending and changing the corporation. For this, the study have identified knowledge-oriented infra that corporations know and customer relations by conducting a poll of local corporations and have presented motives that can effectively carry out knowledge-based customer relations.

From the growth of internet technology, many e-commerce principles have been Introduced In airline industry. The computer reservation systems(CRS) has been considered as the first real-time business application and the earliest examples of e-commerce. in airlines, the early e-business activity was to build the web site for providing flight Information to customers. Recently, many airlines are expanding the capability of the web site for selling tickets on the web to make use of the cheaper distribution channel. In this paper, we focus on the impacts of airline e-business being implemented in airline distribution channels. Using the conjoint analysis, we suggest a model for estimating the change of market sales for each distribution channel. With the empirical survey, we can find some implications on the e-business strategy and the effective internet marketing tools for airlines.

The 2DBPP(Two-Dimensional Bin Packing Problem) is a problem of packing each item into a bin so that no two items overlap and the number of required bins is minimized under the set of rectangular items which may not be rotated and an unlimited number of identical .rectangular bins. The 2DBPP is strongly NP-hard and finds many practical applications in industry. In this paper we discuss a tabu search approach which includes tabu list, intensifying and diversification Strategies. The HNFDH(Hybrid Next Fit Decreasing Height) algorithm is used as an internal algorithm. We find that use of the proper parameter and function such as maximum number of tabu list and space utilization function yields a good solution in a reduced time. We present a tabu search algorithm and its performance through extensive computational experiments.

This study examines market acceptance for DMB service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption end diffusion of innovation as the theoretical framework. Market acceptance for DMB service was assessed by predicting the demand for the service using the Bass model, and the demand variability over time was then analyzed by integrating the innovation adoption model proposed by Rogers (2003). In our estimation of the Bass model, we derived the coefficient of innovation and coefficient of imitation, using actual diffusion data from the mobile telephone service market. The maximum number of subscribers was estimated based on the result of a survey on satellite DMB service. Furthermore, to test the difference in diffusion pattern between mobile phone service and satellite DMB service, we reorganized the demand data along the diffusion timeline according to Rogers' innovation adoption model, using the responses by survey subjects concerning their respective projected time of adoption. The comparison of the two demand prediction models revealed that diffusion for both took place forming a classical S-curve. Concerning variability in demand for DMB service, our findings, much in agreement with Rogers' view, indicated that demand was highly variable over time and depending on the adopter group. In distinguishing adopters into different groups by time of adoption of innovation, we found that income and lifestyle (opinion leadership, novelty seeking tendency and independent decision-making) were variables with measurable impact. Among the managerial variables, price of reception device, contents type, subscription fees were the variables resulting in statistically significant differences. This study, as an attempt to measure the market acceptance for satellite DMB service, a leading next-generation mobile communications service product, stands out from related studies in that it estimates the nature and level of acceptance for specific customer categories, using theories of innovation adoption and diffusion and based on the result of a survey conducted through one-to-one interviews. The authors of this paper believe that the theoretical framework elaborated in this study and its findings can be fruitfully reused in future attempts to predict demand for new mobile communications service products.