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It has been found that users' characteristics are important variables that explain information systems adoption. These user groups, which are called COIs (Community Of Interests), might show different behaviors to each other to the same information system. We study differences in MDM (master data management) system adoption between military users and SI developers using TAM (Technology Acceptance Model). In case of military users, the perceived usefulness of an MDM system does not have impacts on intention to use an MDM system. Only the ease of use of an MDM system has impacts on intention to use an MDM system. However, in case of SI developers, both the perceived usefulness and the ease of use of an MDM system have impacts on intention to use an MDM system, which are similar to findings in previous studies. These results might be interpreted that users do not pay much attention to the usefulness in adopting a new information system in a centralized organization. They are obligated to use an information system whether it is useful or not. Thus the ease of use has more impacts on users than the usefulness.

This study analyzed the users acceptance of e-Government services. Many IT(Information Technology) adoption studies appeared the TAM(technology adoption model) of ​​Davis[1989] as a theoretical background. The TAM composed of three factors those are the perceived easy of use, the perceived usefulness, and intention to adoption of IT. However, TAM did not explain the consequences of intention to adoption and antecedents of the ease of use and usefulness in IT adoption. To overcome limitations of TAM, many technology acceptance studies done. In this study, the researcher suggested the IT acceptance model for explaining users adoption of e-Government service based on the model of IT acceptance of Wixom and Todd[2005]. The model of Wixom and Todd[2005] based on the TAM of Davis[1989], IT adoption model of Taylor and Todd[1995] and, IS(Information Systems) success model of Delone and Mclean[1992, 2003]. For testing our research model, the researcher collected data from 200 users of e-Government services. The researcher analyzed in measurement model and structural model using statistical software. This study analyzed relationships among interaction, information quality, Web systems quality, satisfaction, ease of use, usefulness, and attitude to explain and predict influences of the users acceptance of e-Government services. The results of this study will provide useful information about develop a strategy for usage spread of e-Government services.

Human being does work to live out and they have their private life because human has sociality. Both work and life are important to live out but they are on the trade-off relationship. Because keeping the balance between work and life is too hard, it has been interested by academic and practical areas. Definition of Work-life balance here is that balance or imbalance arising between work and life has no negative impact on their daily life. Above all, Work-life balance is important because it is strongly related to identity. Recently, the introduction of the mobile office system has emerged as a way to solve the problem of work-life balance. It is based on the teleworking which was formerly generated. Teleworking is to perform the work in the employee’s home or office space set aside without going into the workplace. Concept of the mobile office system here is not only using portable devices during work for convenience but also the system which is designed for the performance. Thanks to the diffusion of smart devices(smart phone, tablet pc), mobile office system has been spread. Although the importance of mobile office systems is emerging, there are few researches about it. Even they mostly focus on the standpoint of performance of mobile office system. However, Quality of life is as important as the performance. As a part of Quality of Life field, Work-life balance is the closest to employee’s quality of life. So this study aims to examine the effect of the use of mobile office systems on work-life balance. To do so, we try to find factors effecting Work-life balance from existing studies and then set a research model. We set the use of mobile office systems as independent variables which are divided by use of function, use by location and use by situation. There are four dependent variables–sense of self command, sense of balance, solving work problem, solving life problem. We collected data from employees who are using mobile office systems on their job. 215 people were participated in the survey and we used multiple regression analysis to verify our research model. Results show that every independent variable has no impact on solving work problem while they have slight impact on the other dependent variables. Especially use on the business trip has significant effect on dependent variables. It means that there is a possibility use of mobile office system could control the employee’s quality of life and system should be evolved until it covers even critical tasks. Also, support for mobile office system -education, encouragement-should be provided. By mobile office system is maturing, future research would be done.

Social reason was mostly the motivation for using Facebook among Generation Y, but results on Generation X were still inconclusive due to limited studies. By using content analysis of 93 participants’ written statements gathered on April to May 2012, this study compared motivations among Facebookers from two generations. The study finds that Generation X and Y shared similar motivations. The majority of both generations use Facebook to keep in touch with their friends, as well as to seek updated information. A smaller number use Facebook for entertainment, online business, and self-expression. In addition, participants were willing to continue using Facebook in the future despite the fact that they had Twitter accounts.

The emergence of RFID markets and development of various RFID-embedded mobile devices has brought fundamental changes to our lives. As the availability of RFID readers and tags that are implanted in smart phones and table PCs increases, information on RFID-affixed objects can be tracked wirelessly and this had open possibilities for B2B businesses to be run like B2C businesses. However, given the popularity of the RFID markets, there is limited research in this area. This paper serves to develop an extended technology acceptance model by Mobile RFID characteristics (perceived cost, security, instant connectivity, context awareness, and result demonstrability) examines the determinant factors that cause the acceptance of mobile RFID. To do so, the study conducted a survey targeting smart phone users and used the PLS path modeling, one of the structural equation models to verify the significance of research hypothesis. As a result, perceived cost, instant connectivity, context awareness, and result demonstrability turned out to have a real effect on intention to use mobile RFID by means of perceived usefulness and perceived ease of use. Security turned out to have a partial effect on intention to use mobile RFID by means of perceived usefulness or perceived ease of Use.

This study is to explore the airline network patterns of Incheon and Narita International Airports using passenger flight departure and arrival data of the two airports. The so-called Origin-Destination data is collected from the airports' websites and some of the important data items are flight number, city of origin, destination city, departure/arrival time, number of flights, and delay time. A snowflake schema dimensional model is proposed and implemented. Tableau Public, a well-known visual analytic tool, is used to connect the dimensional model and played an important role in navigating the data space to find interesting and visual patterns among corresponding airports and airlines. For the efficiency of analyzing this spacious data mart, data visualization method was used. Four types of visualization method proposed by Yau was used; visualizing patterns over time, visualizing proportions, visualizing relationships, and visualizing spatial relationships. The strength of connectivity of each flight segments is calculated to evaluate the degree of globalization of Seoul and Tokyo. We anticipate that various patterns and new findings produced by the data mart would provide airline managers, airport authorities, and policy makers in the field of travel and transportation with insightful information.

Project management is critical for the success of the large and complicated IT project. Accordingly, to improve the efficiency of the project management, operation of separate Project Management Office (PMO) organization is getting important. Despite the appreciation of PMO as necessary for project success, the result has not always been positive. In this respect, we intended to formalize the PMO success model by incorporating necessary factors related to PMO services and capabilities, and their relationship. Empirical testing results verified critical antecedents comprising PMO services, which included schedule, quality, budget and others. Furthermore, moderating impacts of PMO capabilities are quantitatively assessed. The research findings offer practical insights for successful management of PMO.

As network technologies evolve and so-called smart technologies appear, applications of smartphones are being applied in widespread areas. In general, the adoption of smartphones is different from the adoption of information systems. Thus, we tried to find out factors which may affect the user acceptance behavior. However, there have been some academic studies that analyzed the factors that affect user acceptance of smartphones, and their relationships. Under this academic background, we develop a model to examine how smartphones are accepted by users based on technology acceptance model. The theoretical model is validated through an online survey of smartphone users from two universities in Seoul, Korea. The results reveal that the users will have positive attitude towards adopting the smartphone when they perceive that the usage of smartphones is useful. We also find that the perceived usefulness of the smartphone is affected by the perceived ease of use and the media richness. The results also suggest that the perceived ease of use is determined by the self-efficacy whereas the intention to use smartphones is determined bv the perceived usefulness, the self-efficacy, and the attitude toward smartphnes’ usage. Theoretical and practical implications are discussed.

The purpose of this study is to investigate factors influencing Chinese consumers' intention to adopt Smartphones. This paper examines Smartphone characteristics factors (situational dependence, diversity and security) and consumer personality characteristics (innovation, self-efficacy and familarity) based on the Technology Acceptance Model. The 320 sets of data are tested against the model using SEM (structural equation model). The research results reveal that diversity and security have significant influences on both perceived usefulness and perceived playfulness. According to the data analysis, self-efficacy affects only perceived easy of use, and familiarity positively affects perceived easy of use, usefulness and playfulness. This study finds that perceived easy of use and perceived usefulness have positive influences on behavioral intention to adopt Smartphones, and situational dependence and innovation directly affect the behavioral intention. The perceived cost has a negative impact on the behavioral intention. Research results are discussed, and limitations of the current study and future research are presented.

This study is to analyze the impact of the absorptive capacity and information technology (IT) on firms' innovation. The absorptive capacity is measured by R&D investment intensity, R&D manpower concentration, and the firm’s size. We try to see the interaction effects between the absorptive capacity and IT usage on firms' innovation. We also look into the differences of the impacts between manufacturing industry and service industry as well as IT industry and service industry. We found that IT and R&D intensity have stronger interaction effect on innovation in manufacturing industry than in service industry, which shows that IT plays a more important role in the accumulation of knowledge in R&D activity in manufacturing industry. Contrarily, in service industry, IT and R&D manpower concentration has significant interaction effects on innovation. This means that the role of IT in service industry is sharing knowledge and experiences among employees in service industry. The interaction effect between firm’s size and IT has positive impact on innovation in manufacturing industry, while it has negative impact on innovation in service industry. Finally, we found that the interaction effect is statistically significant in non-IT industry, while it is not statistically significant in IT industry.

Despite the vast potential opportunities of RFID technology in various industrial applications, deployment of RFID applications is rather limited to meet a large industrial demand in Korea. We conducted in-depth case study to organize the RFID applications in business model framework in order to provide practical insights for the development of innovative RFID applications. Throughout extensive searching for RFID applications in literature, web, news, and policy reports, we first classified passive RFID applications, mobile RFID applications, and active RFID applications. Value creation and implementation issues are compared and analyzed for each of RFID applications using Afuah and Tucci business model. This study can contribute in establishing future development of RFID technology, competitive business strategy, and government policy to stimulate Korea RFID industry.

Noting that compatibility beliefs are important antecedents of technology adoption, the objective of this study was to assess compatibility beliefs that affect users’ intention to adopt a mobile entertainment service (MES). We developed a set of key compatibility beliefs: compatibility with life-style, compatibility with social meaning, and compatibility with past flow experiences. We then defined the key dimensions of each construct and developed operational measures for those dimensions. We tested the theorized effects of each of the compatibility constructs on MES adoption. The results support the effects of compatibility beliefs on users’ intentions to adopt MES.