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In a dynamic business environment, the enterprise mobility solution for a mobile office (EMS) has been adopted to increase the competitive edge of organizations. By using an EMS, performance is expected to be enhanced. However, the related literature has paid little interest to the impact of system quality in an EMS on the information quality produced by the system. On the basis of socio-technical theory, we posited that the system quality in an EMS influences information quality. In addition, we investigated the relationships between the above two qualities, use and job performance by considering task mobility and task inter-dependence as control variables. Survey respondents were from many industries using EMSs. The result of structural equation modeling shows that system quality positively affects information quality, and other relation-ships in the model are proven statistically significant. We also found that system quality has stronger impacts on use and job performance than information quality does in EMS. However, system quality does not affect use in case both task mobility and task inter-dependence exist. The theoretical and practical implications of the result are discussed in the paper.

Information systems (IS) have become ubiquitous and changed every aspect of how people live their lives. While some IS have been successfully adopted and widely used, others have failed to be adopted and crowded out in spite of remarkable progress in technologies. Both the technology acceptance model (TAM) and the IS Success Model (ISSM), among many others, have contributed to explain the reasons of success as well as failure in IS adoption and usage. While the TAM suggests that intention to use and perceived usefulness lead to actual IS usage, the ISSM indicates that information quality, system quality, and service quality affect IS usage and user satisfaction. Upon literature review, however, we found a significant void in theoretical development and its applications that employ either of the two models, and we raise research questions. First of all, in spite of the causal relationship between intention to use and actual usage, in most previous studies, only intention to use was employed as a dependent variable without overt explaining its relationship with actual usage. Moreover, even in a few studies that employed actual IS usage as a dependent variable, the degree of actual usage was measured based on users’ perceptual responses to survey questionnaires. However, the measurement of actual usage based on survey responses might not be ‘actual’ usage in a strict sense that responders’ perception may be distorted due to their selective perceptions or stereotypes. By the same token, the degree of system quality that IS users perceive might not be ‘real’ quality as well. This study seeks to fill this void by measuring the variables of actual usage and system quality using ‘fact’ data such as system logs and specifications of users’ information and communications technology (ICT) devices. More specifically, we propose an integrated research model that bring together the TAM and the ISSM. The integrated model is composed of both the variables that are to be measured using fact as well as survey data. By employing the integrated model, we expect to reveal the difference between real and perceived degree of system quality, and to investigate the relationship between the perception-based meas- ure of intention to use and the fact-based measure of actual usage. Furthermore, we also aim to add empirical findings on the general research question: what factors influence actual IS usage and how? In order to address the research question and to examine the research model, we selected a mobile campus application (MCA). We collected both fact data and survey data. For fact data, we retrieved them from the system logs such information as menu usage counts, user’s device performance, display size, and operating system revision version number. At the same time, we conducted a survey among university students who use an MCA, and collected 180 valid responses. A partial least square (PLS) method was employed to validate our research model. Among nine hypotheses developed, we found five were supported while four were not. In detail, the relationships between (1) perceived system quality and perceived usefulness, (2) perceived system quality and perceived intention to use, (3) perceived usefulness and perceived intention to use, (4) quality of device platform and actual IS usage, and (5) perceived intention to use and actual IS usage were found to be significant. In comparison, the relationships between (1) quality of device platform and perceived system quality, (2) quality of device platform and perceived usefulness, (3) quality of device platform and perceived intention to use, and (4) perceived system quality and actual IS usage were not significant. The results of the study reveal notable differences from those of previous studies. First, although perceived intention to use shows a positive effect on actual IS usage, its explanatory power is very weak (R2 = 0.064). Second, fact-based system quality (quality of user’s device platform) shows a direct impact on actual IS usage without the mediating role of intention to use. Lastly, the relationships between perceived system quality (perception-based system quality) and other constructs show completely different results from those between quality of device platform (fact-based system quality) and other constructs. In the post-hoc analysis, IS users’ past behavior was additionally included in the research model to further investigate the cause of such a low explanatory power of actual IS usage. The results show that past IS usage has a strong positive effect on current IS usage while intention to use does not have, implying that IS usage has already become a habitual behavior. This study provides the following several implications. First, we verify that fact-based data (i.e., system logs of real usage records) are more likely to reflect IS users’ actual usage than perception-based data. In addition, by identifying the direct impact of quality of device platform on actual IS usage (without any mediating roles of attitude or intention), this study triggers further research on other potential factors that may directly influence actual IS usage. Furthermore, the results of the study provide practical strategic implications that organizations equipped with high-quality systems may directly expect high level of system usage.

최첨단 ICT 기술을 활용한 4차산업시대가 도래했다. 이러한 흐름속에 기존의 전자정부의 활용 이 국민들에게 정보제공의 수준에 초점을 두었다면, 이제는 보다 유용하고, 명확한 정보를 신속하 게 제공하여 국민참여를 보다 활성화시키고, 정부와 국민과의 활발한 소통을 통해 상호간의 신뢰 를 더욱 증진시킬 필요가 있다. 그러기 위해서는 무엇보다 국민들의 전자정부활용에 중요하게 영 향을 미치는 변인들을 도출할 필요가 있다. 본 연구에서는 이러한 문제의식을 바탕으로 전자정부 활용에 중요하게 영향을 미치는 요인을 정보의 질과 시스템의 질의 관점에서 분석하였다. 분석결 과 첫째, 정보의 질 측면에서는 정보의 유용성과 명확성이 전자정부의 활용에 긍정적인 영향을 미치는 것으로 조사되었다. 둘째, 시스템의 질 측면에서는 시스템의 접근성이 부(-)의 방향에서 전 자정부활용에 유의미한 영향을 미치는 것으로 조사되었다. 이러한 결과를 통해 제시할 수 있는 연구의 함의는 국민들의 전자정부 활용도를 높이기 위해서는 전자정부를 통해 제공되는 정보의 내용이 유용해야하며, 제공되는 정보가 명확하다고 국민들이 인식할수록 전자정부의 활용도를 향 상시킬 수 있다는 것을 의미한다.

In this study, the factors that significantly affect the use of e-Government were analyzed in terms of information quality and system quality. The summary of the analysis results is as follows. First, in terms of information quality, it was investigated that the usefulness and clarity of information had a positive effect on the use of e-government. Second, in terms of system quality, it was investigated that the accessibility of the information system had a significant impact on the use of e-government in the negative (-) direction. This means that in order to increase the utilization of e-Government by the people, in terms of the quality of information, the usefulness of the provided information and the clearer the information provided can improve the utilization of e-Government.

본 연구의 목적은 DeLone과 McLean이 제안한 정보시스템 성공모형을 기반으로 병원정보시스템에 대한 성공 모델을 제안하는 것이다. 병원정보시스템의 정보품질, 시스템품질, 서비스품질과 사용자 만족, 개인성과, 병원성과와의 관계를 살펴보기 위하여 연구를 수행하였다. 정보품질은 정보의 정확성과 적시성, 시스템품질은 보안성과 신뢰성, 서비 스품질은 편리성과 유희성으로 살펴보았다. 2020년 10월부터 12월까지 병원에 근무하고 있는 직원들을 대상으로 209 부의 설문지를 회수하였고, AMOS 25를 활용하여 구조방정식 모델로 분석을 수행하였다. 분석결과를 보면, 병원정보시 스템의 정보의 정확성은 사용자 만족에 영향을 미쳤지만, 정보의 적시성은 영향을 미치지 못하였다. 시스템품질인 보안 성과 신뢰성은 사용자 만족에 영향을 미쳤지만 편리성은 영향을 미치지 못하였다. 반면, 유희성은 사용자 만족에 긍정적 인 영향을 미쳤고, 사용자 만족은 개인성과와 병원성과에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구의 결과는 병원정보시스템뿐만 아니라 헬스케어 관련 분야의 연구자들과 실무자들에게 의미 있는 가이드라인을 제공할 수 있을 것이다.

The purpose of this study is to propose a success model for hospital information system(HIS) based on the information system success model proposed by DeLone and McLearn. This study was conducted to examine the relationships among hospital information system quality such as information quality, system quality, and service quality, user satisfaction, individual performance, and hospital performance. The information quality was examined as accuracy and timeliness, the system quality as security and reliability, and the service quality as convenience and playfulness. We collected 209 questionnaires from hospital employees from October to December 2020, analyzed the structural equation model using AMOS 25. According to the analysis results, The information accuracy in the hospital information system had an effect on user satisfaction, but the timeliness did not. System security and reliability affected user satisfaction, but convenience did not. On the other hand, enjoyment had a positive effect on user satisfaction, and user satisfaction was found to have a positive effect on individual and hospital performance. The results of this study will be able to provide meaningful guidelines for researchers and practitioners in healthcare as well as hospital information systems.

본 연구는 방위사업청에서 운용하고 있는 군수품관리를 위한 시스템의 서비스 품질, 서비스 가치, 서비스 만 족 및 서비스 신뢰간의 관계에 대한 연구이다. 방위사업청에서는 군수품을 효율적으로 관리하고 지원하기 위해 여러 개의 시스템을 운용하고 있다. 본 연구에서는 군수목록관리시스템의 서비스 품질을 중심으로 연구를 진행하였는데, 이는 방위사업청 개청 이후 군수목록관리시스템 서비스가 방산업체로부터 년간 가장 많은 서비스요청을 받고 있기 때문에 시스템의 서비스에 대한 연구대상으로 적합하다고 판단하였다. 본 연구를 통하여 군수목록관리시스템서비스를 제공하는 직원들의 근무 방향과 향후 문제점을 개선시킨 시스템 구축방향을 도출하였다. 또한 이를 실무에 적용하여 방산업체들로부터 신뢰를 받고, 보다 우수한 품질의 군수목록관리시스템 서비스를 제공할 수 있으며, 신속하고 정확 한 서비스제공은 군수품의 신속한 납품과 수출로도 이어져 방산업체의 이익 증대 및 자주국방과 국가경제발전에 기 여하게 될 것이다.

This study focused on service quality, service value, service satisfaction and service trust of system being used in DAPA(Defence Aquisition Program Adminstration) to manage logistic items. DAPA in operating a few systems to manage efficiently logistic items. This study focused on the catalog management system service quality. Because catalog management system has been the most requested service system of being used in DAPA by defense firms since DAPA was founded, it would be the most fitted system in this study. Through this study, we drew a direction in establishing service. This study also could be applied to business practice so defence industry firms would trust DAPA and DAPA could offer a better service quality. Quick and exact service offered by logistic catalog management system would lead delivery of military supplies and export. Consequently, the best quality service would contribute to profit increase for defence industry firms, independent defence and nation economy development.

본 연구는 대학 신입생의 온라인 비교과 교육콘텐츠 만족도에 영향을 미치는 요인들을 실증적으로 분석 하였다. 충청북도 소재 4년제 대학교 신입생 226명을 대상으로 2025년 3월 4일부터 5월 30일까지 설문조사를 실 시하였다. 분석결과, 첫째, 학습자의 학습 동기가 온라인 비교과 교육콘텐츠 만족도에 유의한 정(+)의 영향을 미치 는 것으로 나타났다. 둘째, 콘텐츠 품질이 만족도에 유의한 정(+)의 영향을 미치는 것을 확인하였다. 셋째, 학습관 리시스템의 품질 또한 만족도에 유의한 정(+)의 영향을 미치는 것으로 분석되었다. 이 연구결과는 대학 신입생의 온라인 비교과 교육콘텐츠 만족도 제고를 위해 학습자의 내재적 동기 향상, 교육콘텐츠의 품질 개선, 그리고 안정 적이고 사용자 친화적인 시스템 환경 구축이 필수적임을 시사한다.

This study empirically analyzed the factors influencing university freshmen's satisfaction with online extracurricular educational content. A survey was conducted from March 4 to May 30, 2025, targeting 226 freshmen from a four-year university located in Chungcheongbuk-do Province. The analysis results revealed the following findings: First, students' learning motivation showed a significant positive effect on satisfaction with online extracurricular educational content. Second, content quality was confirmed to have a significant positive effect on satisfaction. Third, learning management system quality was also found to have a significant positive effect on satisfaction. These research findings suggest that enhancing students' intrinsic motivation, improving educational content quality, and establishing a stable and user-friendly system environment are essential for improving university freshmen's satisfaction with online extracurricular educational content.

2017년 새로운 형태의 아키텍처인 트랜스포머(Transformer)가 발표되면서 언어모델에도 많은 변화가 있었다. 특히 대형 언 어 모델인 LLM(Large language model)의 발전으로 검색이나 챗봇(Chatbot)과 같은 생성형 AI 서비스가 다양한 업무 영역에 활용되고 있다. 하지만 개인정보 유출과 같은 보안 이슈나 거짓 정보를 생성하는 할루시네이션(Hallucination)과 같은 신뢰성 문제가 발생하면서 이러한 서비스의 실효성에 대한 우려의 목소리도 커지고 있다. 이에 본 연구에서는 이러한 우려에도 불구 하고 생성형 AI를 업무 영역에 활용하고 있는 빈도가 점점 증가하고 있는 요인에 대해서 분석하고자 하였다. 이를 위해 LLM 기반의 생성형 AI 응답 데이터 품질에 영향을 미치는 8가지 요인을 도출하고 유효 표본 195개를 대상으로 이러한 요인들이 업무 활용 만족도에 미치는 영향을 실증 분석하였다. 분석결과 전문성, 접근성, 다양성, 편리성이 지속적 사용의도에 유의한 영향을, 보안성, 안정성, 신뢰성 등이 부분적으로 유의한 영향을, 완전성이 부정적 영향을 미치는 요인으로 나타났다. 본 연구 에서는 응답 데이터 품질에 대한 수요자의 인식이 업무 활용 만족도에 어떠한 영향을 미치는지 학문적으로 규명하고, 이러한 서비스에 대한 수요자 중심의 의미 있는 실무적 시사점을 제시하는데 그 목적이 있다.

With the announcement of Transformer, a new type of architecture, in 2017, there have been many changes in languag e models. In particular, the development of LLM (Large language model) has enabled generative AI services such as searc h and chatbot to be utilized in various business areas. However, security issues such as personal information leakage and reliability issues such as hallucination, which generates false information, have raised concerns about the effectiveness of t hese services. In this study, we aimed to analyze the factors that are increasing the frequency of using generative AI in t he workplace despite these concerns. To this end, we derived eight factors that affect the quality of LLM-based generativ e AI response data and empirically analyzed the impact of these factors on job satisfaction using a valid sample of 195 res pondents. The results showed that expertise, accessibility, diversity, and convenience had a significant impact on intention to continue using, security, stability, and reliability had a partially significant impact, and completeness had a negative imp act. The purpose of this study is to academically investigate how customer perception of response data quality affects busi ness utilization satisfaction and to provide meaningful practical implications for customer-centered services.

In this study, an empirical analysis was conducted to determine whether the system quality, information quality, and service quality of outsourced e-communication channel services affects user satisfaction and user trust, whether user satisfaction and user trust affect individual performance and organizational performance, and whether individual performance and organizational performance are associated with one another. After conducting hypothesis tests for the whole survey data, it was concluded that user satisfaction and user trust would be affected by the system quality, information quality, and service quality of outsourced e-communication channels. It would also appear that user trust is associated only with individual performance, whereas user satisfaction was related closely to both individual and organizational performance. The trust that the user has in the outsourced e-communication channel services is positively related with individual benefits, but has no effect on organizational performance. Furthermore, the individual performance and organizational performance of outsourced e-communication channel services mutually influence one another. Additionally, this study attempted to evaluate the differences between factors influencing the performance of the outsourced e-communication channel services of profit and non-profit organizations. The results demonstrated that the factors affecting the performance of outsourced e-communication channel services differed between the profit and non-profit organizations. In the final section of this paper, the implications of our research findings are discussed and the limitations of the study are addressed.

Artificial Intelligence (AI) is one of technological innovations, which performs manual work, that requires human intelligence. The main feature of AI, which outstands hundreds of previous inventions and make it so outstanding is that AI uses big data to broaden the possibilities of its’ task performance abilities and achieve best performance. Nowadays, AI is used in almost every field of human life: healthcare, law, finance, education, transport, and Virtual assistants. Virtual assistant or Voice assistant is a software that understands the user's language and performs the instructions that the user wants. Voice assistant service was created as a system, which could use AI to provide intelligent search techniques to simplify the search process, leading to a sufficient timesaving for multitasking. By applying its improved intelligent searching techniques, Voice assistant systems (VASs) are used as tools for online shopping, learning new languages, answering questions, controlling/using other applications and devices. Apple made a huge breakthrough when the first ever digital virtual assistant Siri was introduced as a feature on company’s iPhone 4s in 2011. Since then, similar attends of several companies brought many voice assistants to the market. According to latest forecast from Gartner, worldwide artificial intelligence software revenue is forecast to total US $62.5 billion in 2022, which compared to US $51.5 billion In 2021, representing an increase of 21.3% in total. Virtual Assistant software also taking a big part in of the revenue: the AI Voice Assistant software market revenue for 2022 is $7.12 billion dollars, which indicates the growth compared to $6.2 billion in 2021. The main characteristics of AI Voice Assistants service are immediateness, simplicity, and context. Immediateness is defined as a feature, which provides immediate information to meet user needs. Simplicity is an ability of the service to focus on clear content, deliver it simply and briefly, and execute effective tasks. Context is the ability to provide information that is closely related to user needs immediately when needed and connect with the surrounding environment. The evolution of AI technologies, including AI Voice Assistants, is a focus of study for technology companies. Though the AI Voice Assistants are constantly evolving, the adoption of such technologies remains a big issue. The adoption of AI technologies differs across the world. Voice-based virtual assistants are becoming more common on mobile devices. The technologies are now being integrated into other devices, such as mobile devices, desktop computers, as well as various online services. The whole new market of stand-alone items that function as smart home assistants, like Amazon Echo, is emerging. Given the exponential rise of voice-based technology, many tech-users now have a chance to communicate with voice assistants as part of everyday life, exactly as they would with other humans. Equipped with the set of useful features, AI-based voice assistants could not only play digital music through Wi-Fi and Bluetooth, but also can perform various verbal commands, based on users’ needs. As for 2021 year, the active usage of AI voice assistants still differs depends on the region. For example, even though market researchers give the AI voice assistant technology a big growth in revenue, in case of South Korea, the country with the highest percent of households using the internet, only 33% of population in age of 20-50 are using AI Voice Assistant. In case of Taiwan, more than 80 percent of people have smartphones, but only less than 10 percent of the people adopted smart speakers, as well as India, where smart voice assistants remain as a relatively young product. Moreover, as market competition for AI Voice Assistants has intensified due to the indiscriminate launch of AI Voice Assistants, the areas that users can use through one AI voice Assistant are decreasing. To address current issue, Microsoft Cortana and Amazon Alexa has launched an integrated service, where both features of each Voice Assistant can be used on one device. This integration of two Voice Assistants gives user the opportunity to get access to exclusive features of one or another voice assistant wherever they wanted. For example, a person with Cortana can order products off Amazon or manage existing orders with voice instructions. In case of manufacturers, the creation of interoperable Voice Assistant services brings companies greater powers to compete with other AI Voice Assistant service providers. In case of other ICT companies, the biggest manufacturer of smart voice speakers, Amazon could not skip the opportunity to expand its zone of interest and launched the Voice Interoperability Initiative in 2019. Currently, The Voice Interoperability Initiative has gained support from 80 companies, including brands like Baidu, BMW, Bose, Microsoft, Salesforce, Sony and more, including companies like Facebook, Qualcomm, and Intel as a part of the initiative. Prior studies on AI Voice assistants made a focus on factors, that influence the adoption of voice assistants and increase the purchase intention of smart voice speakers. Thus, the functionality and main attributes of AI Voice Assistant were tested by such models as Task-technology Fit Model and Diffusion of Innovations. Technology Acceptance Model also is broadly used as a conceptual framework to test users’ tendency to use Voice Assistant technology. As the market of Voice Assistant related technologies is growing, there remains a big issue of lack of the research on voice assistants interoperability. In this study, we aim to discover a method for increasing the usefulness of ai voice assistant to utilize the multi-area of AI voice assistant service. Through previous research on the interoperability of mobile services, we intended to conduct research on the compatibility of ai voice assistant and to find out the effect of interoperability on service convenience and system quality. The topic of Interoperable Voice Assistant systems remains unexplored in prior literature. To find out efficient implications on this topic, we conducted the research: In aim to find answers to three main questions. First, Does Interoperability affect system quality and service convenience? Second, Does Service quality of AI Voice Assistants affect service convenience? And third, Does Service Quality and Service Convenience affect consumers’ satisfaction and their intention to recommend the interoperable AI Voice Assistants?

본 연구는 모바일 온라인 게임에 대해 중국 이용자들을 대상으로 이용 가치 및 편익을 평가하는 속성인 이용추구성향, 이용혜택, 서비스품질, 시스템품질 등이 이용 만족도에 어떠한 영향을 미치고 있는지를 규명하였다. 실증분석결과, 이용 가치 및 편익의 4가지 속성에 대한 구성요인들이 모두 긍정적인 영향을 미치고 상황에서 이용혜택과 서비스품질 속성에 서는 게임유형에 따라 구성요인의 영향정도가 다르게 나타나고 있다. 이용추구성향에서는 게임유형 간에 차이 없이 혁신 추구와 관계추구가 비슷하게 중요한 영향요인으로 나타났다. 이용혜택에서는 게임유형 간에 차이를 보여 싱글플레이어 게임에서는 유대감, 멀티플레이어게임에서는 성취감이 가장 중요한 영향요인으로 나타났다. 서비스품질에서는 게임유형 간에 차이를 보여 싱글플레이어게임에서는 게임용이성, 멀티플레이어게임에서는 게임기능성이 가장 중요한 영향요인으로 나타났다. 시스템품질에서는 게임유형 간에 차이 없이 이용편의성이 가장 중요한 영향요인으로 나타났다. 이러한 결과를 바탕으로 본 연구는 게임 산업 내 기업들에게 게임의 개발과 충성도를 제고하기 위한 전략을 제시하였다.

For mobile online games, this study examines how use pursuit propensity, use interest, use, service quality, and system quality, which are attributes that evaluate the use value and benefit for Chinese users, have an effect on use satisfaction. Empirical analysis results; all composing factors of four attribute had a positive effect, and the degree of effect was different according to game types in use interest and use, service quality. In terms of use pursuit, there was no difference between game types, and innovation pursuit and relationship pursuit were found to be similarly important effecting factors. In terms of use interest, there was a difference between game types. Sense of solidarity in single-player game and sense of achievement in multi-player game was found to be the most important effecting factor. In terms of service quality, there was a difference between game types. Easy of game in single-player game and function of game in multi-player game was the most important effecting factor. In terms of system quality, use convenience was found the most important effecting factor without difference between game types. Based on these results, this study suggested a strategy to enhance game development and loyalty to companies in the game industry.

The purpose of this study is to verify the moderating effect of communication on structural relationships between lecture satisfaction and COVID-19 class quality (contents quality, system quality) perceived by university students. To achieve the purpose of this study, a questionnaire survey was conducted with students who took lectures in the form of distance learning (online classes) at K University located in Gyeongsangnam-do, South Korea. As for the sampling method, convenience sampling was used, and the survey was conducted for a period of about one month from May to June 2020. 210 questionnaires were distributed, and 184 copies among them were used as data for analysis. Results of analysis using the IBM SPSS Statistic 20.0 program and the AMOS 20.0 program are as follows: First, it was found that COVID-19 class quality (contents quality, system quality) perceived by the university students had positive (+) influencing relationships with lecture satisfaction, and thus Research Question 1 and Research Question 2 were accepted. Second, it was found that communication had a moderating effect on the relationship between lecture satisfaction and contents quality perceived by the university students, and thus Research Question 3 was accepted. Lastly, as a result of analysis carried out to test whether the relationship between lecture satisfaction and system quality perceived by the university students varied according to the levels of communication, no significant difference was found between two models, and thus Research Question 4 was rejected. From this study, it was confirmed that although among COVID-19 class quality, as for contents quality that can be controlled by the instructor, the maximum performance management is made possible by using communication between the instructor and the learner, as for system quality that cannot be controlled by the instructor, performance management is difficult despite the instructor's communication efforts. Therefore, it is stressed that at the level of education quality management, education service providers' active investment in improvement in the quality of education system as well as the persistent improvement of the system is required, and it is suggested that the instructor's ability in communication management is important particularly in such a learning environment as COVID-19.

온라인 소매업은 인터넷 기반 회사들에게 전 세계의 온라인 고객들과 연결될 수 있는 기회를 제공했다. 그러 나 많은 고객들은 온라인 지불결제 서비스의 위험성이나 사용의 어려움으로 인해 원하는 상품을 선택하고도 온라인에 서 거래를 완료하지 못하는 경우가 종종 있다. 그동안 많은 연구자들이 온라인 지불결제에 영향을 미치는 요인들을 조 사했지만 온라인 시장 환경이 급격하게 변화되면서 향후 5년 또는 10년 후의 전개될 상황을 예측하기란 매우 어렵다. 본 연구의 목적은 온라인 지불결제에 영향을 미치는 요인들을 검토하고 제3자 결제 회사 및 온라인 서비스 제공 업체 에게 장기적인 동태적 의사 결정 모형을 제공하는데 있다. 이를 위해 본 연구는 온라인 지불결제 서비스 수용 모형을 개발하고 향후 10년 동안 전개될 상황을 시뮬레이션하기 위해 시스템 다이내믹스 기법을 사용하였다. 분석결과 온라인 지불결제 고객은 10년 안에 지속적으로 증가할 것이며 핵심 영향 요인으로는 서비스 품질, 시스템 품질 및 예상 소요 시간인 것으로 나타났다.

Online retail business has provided internet-based companies with the opportunities to be connected with online customers from all over the world. However, many online customers do not complete their transactions online even if they have already choose what they want because they perceive online payment service is risky or perceive difficulty of paying online. A large body of researchers have examined the important variables that influence online payment, however, these studies can hardly predict the future development tendency after five or ten years since the environment of online market changes so fast more than ever. Therefore, the purpose of this study is to examine the importance of factors affecting online payment and to provide long term dynamic decision making model for third-party payment companies and online service providers. To serve the purpose, this study used system dynamics approach to develop a model of online payment adoption and to simulate various development paths for ten years. The analysis results show that the number of online payment customers increase continuously in ten years, and service quality, system quality, and effort expectancy are key factors for customers to pay online.

People who use travel agencies' smartphone applications in China are quickly increasing. The research develops and tests a theoretical extension of the Technology Acceptance Model (TAM) that explains perceived usefulness and perceived usage intentions of travel agencies' smartphone applications. A survey was conducted on Chinese nationals using the smartphone application of the travel agency. Research has demonstrated that information quality and system quality have been directly impacted by perceived usefulness and ease of use. Perceived usefulness and perceived ease of use have a positive effect on the use attitude toward using. And the use attitude toward using have a positive effect on the intention to reuse. These results mean that when a travel agent develops a smartphone application, it creates a user centered application to improve the information quality and system quality.

모바일 간편결제시스템은 기존의 온라인 결제시스템보다 쉽고 빠른 결제방식으로 온라인 소비 자로부터 각광받고 있다. 하지만 국내에서 선보인 모바일 간편결제시스템은 30여 종에 달하며, 이로 인해 시장에서 경쟁우위를 갖기 위해 노력하고 있다. 본 연구의 목표는 사용자 측면에서 모바일 간편 결제시스템의 성공요인을 도출하고, 이를 통해 국내 모바일 간편결제시스템의 사용자 확보, 시장 활성 화 및 경제적 성장에 기여하는 것이다. 본 연구는 DeLone & McLean(2003)의 정보시스템 성공모형 을 바탕으로, 모바일 간편결제시스템의 성공요인을 실증적인 방법으로 탐구하고자 하였다. 실증분석 을 위하여 설문조사를 수행하였으며, 수집된 표본 데이터를 이용하여 SEM 분석을 수행하였다. 분석 결과, 모바일 간편결제시스템의 정보품질 및 시스템품질은 사용, 사용자 만족에 긍정적인 영향을 미치 는 것으로 나타났으며, 모바일 간편결제시스템의 사용 및 사용자 만족은 지각된 순효익에 긍정적인 영 향을 미치는 것으로 나타났다. 본 연구는 실증분석 결과를 바탕으로, 학술적 시사점 및 실무적 시사점 을 제시한다.

With the spread of smart devices, users of mobile easy payment systems are increasing. In addition, today there are a number of mobile easy payment systems being launched. it is therefore important to measure success of mobile easy payment systems from user’s perspective. This research examined success factors of mobile easy payment systems based on DeLone and McLean model of information systems success. This research provided the first empirical test of an adaptation of DeLone and McLean’s IS success model in the context of mobile easy payment systems. We employed six factors of information quality, system quality, service quality, use, user satisfaction, perceived net benefit for research model based on literature reviews. Then, we conducted survey and collected data from 215 users of mobile easy payment systems. We showed success factors for mobile easy payment systems though SEM analysis by collected data. In research results, we confirmed that information quality and system quality has a positive influence on use and user satisfaction. We also showed that use and user satisfaction has a positive influence on perceived net benefit. Based on this research results, We provide implication of academics and practice for success of the mobile easy payment systems.

The qualities of the technological artifact of online shopping websites and the overall support delivered by the service provider through the website are generally agreed to be crucial elements in creating customer satisfaction and loyalty. However, a lack of consensus exists on how those qualities are related to each other, what they consist of, and how they can be conceptualized. Based on relevant literature and using a servicescape framework as a theoretical lens, we divide online shopping website qualities into information and system qualities and argue that both factors affect service quality. We conceptualize each of the three types of quality as a second-order formative construct comprising its most salient quality dimensions: information quality consisting of reliability, understandability, currency, and relevance; system quality consisting of usability, availability, and responsiveness; and service quality consisting of efficiency and fulfillment. Our model of how information, system, and service qualities are related to one another and to customer satisfaction and loyalty is then tested empirically with a data set of 570 online shopping customers. Our integrated model reconciles the seemingly contradictory conceptualizations of previous researchers and provides an effective way to create customer satisfaction and loyalty.

This study derived research model about the influencing factors of the successful performance of smart work. Research model is composed of four perspectives: technology perspective like system quality and usage level of information technology, interaction perspective like innovational climate, institutional perspective like personnel evaluation, and individual perspective like self-control. This study collected 155 survey data from K public company and M global software company. As a result of data analysis, all of four perspectives influenced smart work performance. Technology perspective had the strongest effect on smart work performance, the second was institution perspective, the third was interaction perspective, and the last was individual perspective. In conclusion, smart work is not an IT project. We have to reconsider the thinking that just only the introduction of cutting-edge IT increases business performance. Smart work project should be pursued in harmony with institution and climate in the organizational perspective and self-control in the personal perspective. Also, to maximize business performance in smart work environment, organizations should strengthen the positive factors and overcome the negative factors.

본 연구에서는 사회적 영향과 클라우드 서비스의 시스템 품질이 유용성과 신뢰성에 영향을 미치고, 이는 다시 지속이용의도에 영향을 미친다는 것을 규명하였다. 그리고 집단주의 문화와 국가 정보 인프라가 조절효과가 있음을 규명하였다. 이러한 연구결과를 요약하면 다음과 같다. 첫째, 클라우드 서비스의 지속적 이용의도에 유용성과 용이성 그리고 신뢰성이 영향을 미치는 것으로 나타났다. 둘째, 한국은 사회적 영향과 시스템 품질이 클라우드 서비스의 신뢰성에 영향을 미치는 것으로 나타났지만, 중국은 시스템 품질만 유의한 것으로 나타났다. 셋째, 한국과 중국 모두 사회적 영향과 시스템 품질이 모두 클라우드 서비스의 유용성에 영향을 미치는 것으로 나타났다. 넷째, 집단주의 문화가 강할수록 사회적 영향이 신뢰성과 유용성에 미치는 영향이 높게 나타났다. 다섯째, 한국보다 중국에서 시스템 품질이 신뢰성에 미치는 영향이 높게 나타났다. 본 연구의 결과가 제시하는 시사점을 다음 세 가지 측면에서 살펴볼 수 있다. 첫째, 본 연구에서는 TAM 모형이 클라우드 서비스 시장에서도 적용되고 있음을 보여주었다. 둘째, 현재 우리나라에서만 제한적으로 서비스하고 있는 한국 클라우드 업체들이 중국 시장과 같은 큰 시장으로 진출하기 위해서 는 사회적 영향과 시스템 품질을 향상시킬 필요가 있다는 것을 보여주었다. 셋째, 집단주의와 같은 국가문화와 국가 정보 인프라를 고려한 해외진출 전략을 수립할 필요가 있다.

This study conducts an empirical analysis to show the effect of social influence and cloud service system quality on the continuous use of cloud service. In particular, this study focuses on the control effects of collectivism in South Korea and China. The research model is designed based on the technology acceptance model and SERVQUAL service quality model of PZB. The factors that influence the cloud service customers in China and South Korea are also analyzed. This study has several practical implications for consideration by South Korean cloud service vendors who plan to enter the cloud service industry in China.

한국무역협회의 발표에 따르면 2015년 상반기 전체 수출 감소에도 불구하고 B2C수출은 145%의 신장하였 다. 한국의 B2C 수출확대를 위한 실증분석결과 가격보다는 제품의 차별적 우위와 온라인서비스 강화가 수출확대에 더 큰 영향을 미치는 것으로 조사되었다[1]. 한국의 전체적인 수출은 감소하였으나 온라인 거래를 통한 해외역직구는 증가하고 있으며 전자상거래 사이트가 중요하다는 것이 다. 전자상거래시장의 탈경계화와 탈지역화는 기업의 입장에서는 해외라는 큰 시장으로의 진출과 무한한 가능성이 숨어있는 기회를 제공기 때문에 국내기업의 해외역직구 전략이 필요하다. 중국의 소비자가 인지한 해외직접구매 사이트의 시스템 품질특성이 신뢰와 만 족, 사이트애호도에 미치는 영향을 측정하여 해외직접구매를 활성화 시키는 시스템품질요소가 무엇인지를 연구하고 해외역직접구매 전략을 도출하는 것이 본 연구의 목적이 다. 실증분석 결과 시스템품질 중 시스템신뢰성은 신뢰와 만족에 영향을 미치지 않았고, 이용용이성은 신뢰와 만족에 정의 영향을 미쳤 다. 또한 이들을 매개로 애호도에 정의 영향을 미치는 것으로 나타났 다. 신뢰는 애호도에 직접적인 영향을 미치지 않았으나 간접적인 효과가 있음을 밝혔다. 국내 전자상거래 기업들은 해외이용자들이 이용하기 쉽도록 전자상거래 시스템을 제작하고 해외 소비자들의 만족을 우선으로 서비스를 제공해야 할 것이다.

The advent of Web2.0 has believed to be the solution against many barriers in information sharing. Wiki embodies the highest dream of information sharing realization in a group of its members collaborating voluntarily and unselfishly. Collaborating and creating knowledge toward benefit of the organization are not easy. The purpose of this paper is to analyze the benefits and challenges of using wiki as a project management method in an IT/IS project. Wiki project management could provide project managers and members with collaborative communication support for creating project results and knowledge. In the research model, we used TMS(Transactive Memory System) theory to define the relation of collaboration and project performance. Based on a survey among project members, the interactions between wiki characteristic factor and project performance are examined in a IS project environment. Using Smart PLS2.0, the data was analyzed to determine the relationship between Wiki characteristics and Project performance by the structural equation modeling. From the empirical data, we find a mediated effect from system quality and information expertise to project performance through expert knowledge collaboration. We also analyze the implications of wiki project management method. It is expected that the wiki project management method bring important changes in communication area of project performance.

China has the largest number of the user of web 2.0 such as messengers and blogs, as of 2008 year. Chinese Internet digital market will grow from $85 billion in 2007 to $264 billion in 2015. The importance of Chinese Internet business is increasing, because of its size and growth potential. This research is focused on following two questions. First, what are the major characteristics of social networking services in China? In order to find out the answer about this question, the case study on Tencent QQ and Sina Poco, the most representative social networking services company in China, was done. And the reason of the use of social networking services, their contents, and the attitude toward the paid service were identified. Second, what are the major factors influencing the use of social networking services in China. User participation, network effect, usefulness, and system quality were inferred as the factors influencing the use. These factors were based on motivation theory, technology acceptance model, and the related research papers. This research model was proved by data analysis using Partial Least Square. As results, the use of social networking services was influenced by usefulness, network effect, user participation, and system quality. But social influence was not significant of the use of social networking services.