While feeling anxious about the risk of exposure of personal information and privacy, users of microblogs and social network services are continuously using them. This study aims to develop a model to investigate this phenomenon. Specifically, this study explores the relationship between personal characteristics (represented by privacy concern and self-presentation) and an individual's self-disclosure. An individual's personal belief (represented by perceived risk and perceived trust) is also tested as an mediator between the relationship. Through a questionnaire survey to 183 twitter users in Korea, the results indicate that self-presentation has a direct influence on self-disclosure as well as an indirect influence through perceived trust. In contrast, privacy concern has not a direct but an indirect negative influence on self-disclosure through perceived risk. In conclusion, self-presentation has a stronger influence on self-disclosure then privacy concern to Twitter users. An individual who has a higher propensity for self-presentation will form a stronger perceived trust on Twitter, which in turn, affects the individual's self-disclosure. On the other hand, an individual who is more concerned with personal privacy will feel more serious about perceived risk, which in turn, negatively influences one's perception of the trust in Twitter as well as his desire for self-disclosure.

This paper addresses a network design problem in a supply chain system that involves locating both plants and distribution centers, and determining the best strategy for distributing products from the suppliers to the plants, from the plants to the distribution centers and from the distribution centers to the customers. This paper suggests a cooperative coevolutionary algorithm (CCEA) approach to solve the model. First, the problem is decomposed into three subproblems for each of which the chromosome population is created correspondingly. Each chromosome in each population is represented as a permutation denoting the priority. Then an algorithm generating a solution from the combined set of chromosomes from each population is suggested. Also an algorithm evaluating the performance of a solution is suggested. An experimental study is carried out. The results show that our CCEA tends to generate better solutions than the previous CCEA as the problem size gets larger and that the permutation representation for chromosome used here is better than other representation.

Although many prior studies have investigated the relationship between supply chain and new product development (NPD), the causal relationship between them has not been clearly established. Therefore, this study investigated systematically over the entire process of supply chain management (SCM) from trust to NPD capability, including not only the associations between trust, commitment, collaboration, supply chain quality, and NPD capability, but also the impact of organizational culture in the context of supply chain. In particular, this study examined the mediating effect of commitment on the relationship between trust and collaboration of channel members. In addition, it studies the moderating effect of organizational culture on the relationship between collaboration, supply chain quality, and NPD capability. Using a questionnaire survey, 112 usable responses are obtained. PLS (partial least square) is employed to assess the relationships among related constructs. The results of the data analysis show that (1) commitment mediates the link between trust and collaboration (2) supply chain quality is positively associated with NPD capability, and (3) organizational culture significantly moderates the association between collaboration and supply chain quality, yet it does not the relationship SC quality and NPD capability. Finally, the implications of the results are discussed, and directions for future research are suggested.

This paper is about the investment strategy in stocks on Fundamental analysis. Financial data of stocks from January 2. 2001 through October 30. 2009 were utilized in order to suggest the investment strategies. Fundamental analysis was used in stocks-related strategy. The portfolios are composed of 3 criteria such as the buying criteria score, exchange cycle and selling conditions. The buying criteria score is determined assigned to each stock index according to the satisfaction condition of 15 parameters selected considering the grue's criteria. The stock buying alternatives has two options with buying stocks over 13 points and over 14 points of buying criteria score. The seven exchange cycles and three selling methods are considered. So total number of portfolios is 42($2{\times}7{\times}3=42$). The simulation has been executed about each 42 portfolios and we figured out with the simulation result that 83.33% of 35 portfolios are more profitable than average stock market profit(203.43%). The outcome of this research is summarized in two parts. First, it's the exchange strategy of portfolio. The result shows that value-oriented investment (long-term investment) strategy yields much higher than short-term investment strategies of stocks. Second, it's about the exchange cycle forming the portfolios. The result shows that the rate of return for the portfolio is the best when exchange cycle is 18 months.

With the explosivley increasing demand in wireless telecommunication service, the shortage of radio spectrum has been worsen. The traditional approach of the current fixed spectrum allocation leads to spectrum underutilization. Recently, CR (Cognitive Radio) technologies are proposed to enhance the spectrum utilization by allocating dynamically radio resources to CR Networks. In this study, we consider a radio resource(power, subcarrier) allocation problem for OFDMA-based CRN in which a base station supports a variety of CUs (CRN Users) while avoiding the radio interference to PRN (Primary Radio Network). The problem is mathematically formulated as a general 0-1 IP problem. The optimal solution method for the IP problem requires an unrealistic execution time due to its complexity. Therefore, we propose an heuristic that gives an approximate solution within a reasonable execution time.

Focusing on the rapid market penetration of smart phones, the importance of LBS (Location Based Service) is drastically increased. However, traditional GPS method has critical weakness caused by limited availability, such as indoor environment. WPS is newly attractive method as a widely applicable positioning method. In WPS, RSSI (Received Signal Strength Indication) data of all Wi-Fi APs (Access Point) are measured and stored into a huge database. The stored RSSI data in database make single radio fingerprint map. By the radio fingerprint map, we can estimate the actual position of target point. The essential factor of radio fingerprint database is data integrity of RSSI. Because of millions of APs in urban area, RSSI measurement data are seriously contaminated. Therefore, we present the unified filtering method for RSSI measurement data. As the results of filtering, we can show the effectiveness of suggested method in practical positioning system of mobile operator.

Revenue management problems originated in the 1970's in the context of the airline industry have been successfully introduced in airline industries. It has started on the capacity control by booking classes for available seats, and has been recognized as a powerful tool to maximize the total revenue. Changing customer behavior and airline market environments, however, has required a new mechanism for improving the revenue. Dynamic pricing is one of innovative tools which is to adjust prices according to the market status. In this paper, we consider a dynamic pricing and seat control problem for discrete time horizon. The problem can be modeled as a stochastic programming problem. Applying the linear approximation technique and given the price set for each time, we suggest a mixed Integer Programming model to solve our problem efficiently. From the simulation results, we can find our model makes good performance and can be expanded to other comprehensive problems.

As medical service industry is transformed into the market centered on consumers, medical service quality patients recognize is emphasized as the powerful means to ensure competitive advantage among hospitals in the fierce medical markets. Many researches have been done on the definition of medical service quality, developing a scale to measure it, patient satisfaction, hospital repurchase and oral transmission intention, but integrated studies have not been done sufficiently on the patient' cognitive emotional aspects. For these research purposes, based on service relation, service quality, physical surroundings, human services, corporate reputation, service value, emotional response, customer satisfaction and repurchase intention, this paper suggests a theoretical modeling composed of hypotheses on the relations of each theoretical variable. In addition, the moderating effect of service relationships is investigated based on the structural equation model.

Business firms and consumers exist within a society, and their activities influence a society, because they are not separated from a society. Thus, consumers as well as business firms have been asked to conduct socially responsible actions (i.e., environmentally friendly production and socially friendly activities). Previous researchers have investigated on the relationship between corporate social responsibilities and business performances. For example, researchers have analyzed the effects of corporate social responsibility on consumer's corporate evaluations. The corporate social responsibility is commonly classified into the three dimensions (economic, social, and environmental responsibility). In this paper, we demonstrated that the consumer social responsibility can also be classified into the three dimensions. Previous researchers have shown that the three dimensions of corporate social responsibility influence consumer's corporate evaluation. However, they have not considered the interaction effect of the corporate social responsibility and the consumer social responsibility on consumers' corporate evaluation. Different from the past studies, this study investigated on the interaction effect of consumer social responsibility (economic, social, environmental responsibility) and corporate social responsibility (economic, social, environmental responsibility) on consumer's corporate evaluation. For the study, we collected survey data of 200 consumers and analyzed the interaction effect with ANOVAs. The result showed that the three dimensions of social responsibility to both corporate and consumers influence positively the corporate evaluation. They also showed that the interaction effect of consumer responsibility and corporate responsibility on the corporate evaluation was statistically significant. This implies that it is necessary for corporate to conduct corporate social responsibility differently depending on consumer's activity for consumer social responsibility.

The purpose of this study is to formulate and solve the scheduling problem to heat-treatment process in forging process and apply it to industries. Heat-treatment is a common process in manufacturing heavy forged products in ship engines and wind power generators. Total complete time of the schedule depends on how to group parts and assign them into heat furnace. Efficient operation of heat-treatment process increases the productivity of whole production system while scheduling the parts into heat-treatment furnace is a combinatorial problem which is known as an NP-hard problem. So the scheduling, on manufacturing site, relies on engineers' experience. To improve heat-treatment process schedule, this study formulated it into an MIP mathematical model which minimizes total complete time. Three methods were applied to example problems and the results were compared to each other. In case of small problems, optimal solutions were easily found. In case of big problems, feasible solutions were found and that feasible solutions were very close to lower bound of the solutions. ILOG OPL Studio 5.5 was used in this study.

This paper researches on the effective and efficient logistics policy for the parcel express company. The paper derives new policy by considering the number of used vehicles, carbon emission amount, delivery completion time, etc. The maximum waiting of delivery is considered as the time limit T day. To verify the effectiveness of the derived policy, the data of 30 days is generated, and it was shown that the derived policy is very effective compared with the conventional one.

Business diversification is inevitable to survive under the current competitive business environments. The advent of new businesses makes corporate governance more complicated through corporate combinations. Recent introduction of new accounting standard, International Financial Reporting Standards(IFRS), accelerates the need for corporate governance analysis. This study analyses the complex corporate governance system and its relation to the business performance using social network analysis. Corporate inter-governance networks can be visualized easily in a social network diagram. 552 corporate governance data are empirically analysed in the Korean stock market. The changes in In-Degree between networks are positively related with the changes in corporate sales volume. We can find the same results using operating profits as corporate performance proxy. The results show that social network analysis technique can be applied to investments in the stock markets.