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In this research, we develop and suggest branch and bound algorithms for a two-machine permutation flowshop scheduling problem with the objective of minimizing makespan. In this scheduling problem, after each job is operated on the machine 1 (first machine), the job has to start its second operation on machine 2 (second machine) within its corresponding limited waiting time. In addition, each job has its corresponding ready time at the machine 1. For this scheduling problem, we develop various dominance properties and three lower bounding schemes, which are used for the suggested branch and bound algorithm. In the results of computational tests, the branch and bound algorithms with dominance properties and lower bounding schemes, which are suggested in this paper, can give optimal solution within shorter CPU times than the branch and bound algorithms without those. Therefore, we can say that the suggested dominance properties and lower bounding schemes are efficient.

Many studies have focused on the influences and outcomes of online game addiction. However, few studies have investigated how the online game addiction prevention behavior differs depending on online game user. In order to fill this gap, this study attempts to classify online game users based on risk perception attitude (RPA) framework. More specifically, this research tries to show online game user can be classified into four groups based on perceived risk of online game addiction and efficacy beliefs of online game addiction protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for online game addiction prevention. For this purpose, analysis on survey data from 240 Korean college students who use online game reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for online game addiction prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of online game addiction prevention strategies and policy.

Concerns have been growing about whether domestic internet protocol television (IPTV) can establish a solid foothold in the pay TV market, largely because of the lack of IPTV- only content and service differentiation. It has been difficult for IPTV providers to attract valuable PPs (program providers) to strengthen their positions, and IPTV providers have invested much money into procuring content. To survive this difficult situation, IPTV providers need to reappraise their profit sharing methods and content distribution structure to facilitate the expansion of their subscriber base. This can be done by attracting valuable PPs to IPTV providers and securing extra revenue by distributing more content for their PP partners. The IPTV industry has a different structure and value chain from the digital cable industry. Moreover, profit sharing schemes among participants in the IPTV industry are complicated. Thus it is essential to analyze the criteria for profit sharing, the selection of attributes in profit sharing, and their cause- effect relationship in developing fair pricing for broadcast content in the IPTV industry. This study introduces the attributes that need to be considered for the pricing of content and profit sharing among IPTV providers and PPs. In addition, this study uses system dynamics to analyze the relationship among those attributes along with additional associated factors for the pricing of content.

Due to the rapid development of information communication technology, employees have conducted their tasks with smart devices such as smartphones and tablet PCs in the midst of after work hours. In line with this phenomenon, we have examined the relationships among technostress, work connectivity behavior after hours (WCBA) and technostress inhibitors and job satisfaction. Based on the results of prior research, we developed and tested our research model which posits the certain factors such as technostress, WCBA and technostress inhibitors affect work-life conflicts which, in turn influence employees' job satisfaction. Survey data collected from 345 users who have experiences on using smart devices was used to test the model using PLS (partial least squares). In this study, we found that technostress and WCBA were positively related to the work-life conflicts. We also found that the relationship between technostress inhibitors and job satisfaction was significant. The implications of these findings for both research and practice are discussed.

Spread of internet service had a huge effect on usage and spread of SNS world widely. Variety of the service has increased from human network managing to commerce, education, payment method and so on. Also, it is expanding its service territory to not only PC area but also that of mobile equipment with development of information technology. Spread of use on SNS provides existing corporations the expansion of service area. Late SNS starter companies are advancing in diverse way for attracting users by serving shopping, games and other services with association with SNS. Therefore, analysis on consumers’ thought and pattern which analyze users’ demand, service’s function and contents and other factors in order to reflect on plans and operations of SNS is needed. On this perspective, this research is suggesting properties that are crucially related to sustained usage of SNS and study factors of SNS’s characteristics that influence trust and satisfaction on SNS and continuous usage intent of SNS.

Collective intelligence can be an influential factor of decision-making based on collaboration and information exchange between individuals. Our study explores whether collective intelligence can mitigate the loss aversion effect, bias and error in human judgment, and collective intelligence in online communities can reduce the loss aversion effect. Our community settings display both individual-level and group-level loss aversion effect, investigate effective collective intelligence characteristics like investment commitment, participant experience. Using a multi-method approach our research comprises a web-based experiment with 100 participants investing 3 situations from a real-world community, data from a survey measuring loss aversion behavior of participants. The results suggest the loss aversion effect mitigates under the online-circumstance. Overall, our results suggest that, while collective intelligence mitigates the loss aversion effect, participants do not transfer these results to other settings.

Today the mobile devices including smart phones have influenced on the users’ daily activities in the mobile internet society, and the expansion of social media has also affected on the purchasing behavior of consumers. This study examines whether the quality of corporate twitter, a typical social network service for call centers influences on the customer satisfaction, and brand loyalty. In order to achieve the research goal, the quality of twitter has been divided into four variables; information quality, service quality, system quality, and social quality. The results of our empirical analysis show that the three variables except service quality have significantly influenced on the customer satisfaction and the customer satisfaction also significantly has a casual effect on the brand loyalty. The empirical results are expected as a guideline to contribute on the practical improvement of customer service, satisfaction, and brand loyalty through corporate social network services such as corporate twitters in the future.

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

This study proposes the practical information security measures that help IT personnel of banks comply the information security policy. The research model of the study is composed of independent variables (clarity and comprehensiveness of policy, penalty, dedicated security organization, audit, training and education program, and top management support), a dependent variable (information security policy compliance intention), and moderating variables (age and gender). Analyses results show that the information security measures except ‘clarity of policy' and ‘training and education program' are proven to affect the ‘information security policy compliance intention.' In case of moderating variables, age moderated the relationship between top management support and compliance intention, but gender does not show any moderating effect at all. This study analyzes information security measures based solely on the perception of the respondents. Future study may introduce more objective measurement methods such as systematically analyzing the contents of the information security measures instead of asking the respondents’ perception. In addition, this study analyzes intention of employees rather than the actual behavior. Future research may analyze the relationship between intention and actual behavior and the factors affecting the relationship.

In this paper, we report computational testing result to examine the validity of firm’s bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm’s risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm’s risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm’s industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm’s future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm’s financial and other managerial factors.

Recently, electronic-book (e-book) market is growing rapidly due to the evolution of information technology and e-book standard EPUB. Users can search e-book on-line and download easily to their e-book readers such as amazon’s kindle or smartphones. On the other hand, there is lack of e-book contents for the reading disabled people because of high cost of making e-book accessibility for the reading disabled people. If we can translate EPUB specified e-book contents to the alternative e-book contents suitable for the reading disabled people, then there are many advantages to acquire various types and large volumes of e-book contents for the reading disabled people. This paper suggests a new electronic publishing ecosystem for the reading disabled people using e-book translation method. It also suggests a promotion strategy of e-book market for the reading disabled people.