• Information Systems Review
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• v.7 no.2
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• pp.85-100
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• 2005

Mobile banking, a type of digital convergence, has recently spread in the ubiquitous age. This study intends to identify the factors that affect the adoption of the mobile banking, which is a field similar to, but even more specialized than, the Internet banking. The results indicate that the significant factors affecting the usage of mobile banking are usefulness, service quality, and instant connectivity, while usability and social influences are not significant. These results are expected to be used for marketing the mobile banking and establishing the technological strategy by the telecommunication and banking organizations.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.310-316
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• 2010

본 연구는 정보기술의 사용(Usage)과 수용(Adoption)을 예상하는 목적보다는 웹 기반 협동합습 시스템사용 의도와 사용행위에 영향을 미치는 변수들을 폭 넓게 이해하고, 실질적으로 활용 할 수 있는 변수를 찾는데 목적이 있기 때문에 분해된 계획 행동 이론(Decomposed TPB)을 기반 하였고, 분해된 변수들 중 일부분(지각된 유용성, 지각된 용이성, 명시적 영향, 암시적 영향)과 웹 환경의 중요 요소인 '흥미성' 을 포함하여 사용의도(Use Intention)에 영향을 미치는 변수들을 2개 대학의 대학생 256명을 대상으로 자료를 수집하여 실증 분석하였다. 연구결과 다차원으로 분해된 일부 변수들 중 태도적 믿음 변수인 '지각된 용이성'을 제외하고 분해된 모든 변수가 사용의도에 긍정적 강한 영향을 미치고 있음을 알 수 있었고, 특히 주관적 규범(명시적 영향, 암시적 영향)변수는 준거집단을 통해서 웹기반 협동학습 시스템에 대한 행동의도나 인지에 영향을 줄 수 있는 중요 변수로 나타났다. 이러한 결과는 준거인이 되는 팀장은 팀원 및 학습자들과의 상호작용(협동학습을 통한 화상토론, 게시판정활동, 오프라인 정기 모임, 동영상 동시 시청)과 팀원 관리 및 운영하는 역할이기 때문에 새로운 정보 기술 및 시스템 사용 권유를 하거나, 직접 기술사용을 하는 주변 분위기는 협동합습에 참여한 학습자들에게 조금이나마 영향을 줄 수 있음을 추측 해 볼 수 있고 영향력 있는 중요변수임을 제시하였다.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.1-27
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• 2012

Many companies have recently become interested in using social networking sites such as Twitter and Facebook as a new channel to communicate with their customers. For example, companies often offer "special deals" (e.g., coupons, discounts, free samples, etc.) to their customers who participate in promotions or events on social networking sites. Companies often make important announcements on their products or services on social networking sites. By doing so, customers are encouraged to continue to have relationships with companies on social networking sites and to recommend the companies' presence on social networking sites to other potential customers. Moreover, customers who keep close relationships with companies on social networking sites often provide the companies with valuable suggestions and feedback. For instance, Starbucks has more than 2 million followers on Twitter, and often receive suggestions and feedback for their product offerings and services from the followers on Twitter. Although companies realize potential benefits of using social networking sites as a channel to communicate with their customers, it appears that many companies have difficulty forging long-lasting relationships with customers on social networking sites. It is often reported that many customers who had followed companies on Twitter later stopped following them for various reasons. Therefore, it is an important issue to understand what motivates customers to continue to keep relationships with companies on social networking sites. Nonetheless, due attention has yet paid to this issue until recently. This study intends to contribute to our understanding on customers' intention to continue to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Specifically, we identify seven potential factors that customers perceive as important in evaluating their experience with companies on Twitter. The seven factors include similarity, receptivity, interactivity, ubiquitous connectivity, enjoyment, usefulness and transparency. We posit that the seven perception factors can affect the two types of satisfaction, emotional and cognitive, which can in turn influence on customers' intention to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Research hypotheses formulated in this study were tested with data collected from a questionnaire survey administered to customers who had been following companies on Twitter. The data was analyzed with the partial least square (PLS) approach to structural equation modeling. The results of data analysis based on 177 usable responses were generally supportive of our predictions for the effects of the seven factors identified and the two types of satisfaction. In particular, out results suggest that emotional satisfaction was strongly influenced by perceived similarity, perceived receptivity, perceived enjoyment, and perceived transparency. Cognitive satisfaction was significantly influenced by perceived similarity, perceived interactivity, perceived enjoyment, and perceived transparency. While cognitive satisfaction was found to have significant and positive effects on both continued following and word-of-mouth intentions, emotional satisfaction had a significant and positive effect only on word-of-mouth intention.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.1-22
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• 2016

News contents has been collected, selected, edited and sometimes distorted by the news recommendation mechanisms of online portals in nowadays. Prior studies had not confirmed the consensus of newsworthiness, and they had not tried to empirically validate the impacts of newsworthiness on audience reactions. This study challenged to summarize the concepts of newsworthiness and validate the impact of representativeness of both editor's and audience's perspective on audience reactions as perceived news quality, trust on news portal, perceived usefulness, service satisfaction, loyalty, continuous usage intention, and word-of-mouth intention by adopting the representativeness heuristics method and information adoption model. 357 valid data had been collected using a scenario survey method. Subjects in each groups are exposed by 3 news recommendation mechanisms: 1) the time-priority news exposure mechanism (control group), 2) the reference-score-based news recommendation mechanism (a single treatment group), and 3) the major-news-priority exposure mechanism sorting by the reference scores made by peer audiences (the mixed treatment group). Data had been analyzed by the MANOVA and PLS method. MANOVA results indicate that only mixed method of both editor and audience recommendation mechanisms impacts on perceived news quality and trust. PLS results indicate that perceived news quality and trust could significantly affect on the perceived usefulness, service satisfaction, loyalty, continuance usage, and word-of-mouth intention. This study would contributions to empathize the role of information technology in media industry, to conceptualize the news value in the balanced views of both editors and audiences, and to empirically validate the benefits of news recommendation mechanisms in academy. For practice, the results of this study suggest that online news portals would be better to make mixed news recommendation mechanisms to attract audiences.

• Management & Information Systems Review
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• v.38 no.2
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• pp.165-182
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• 2019

This study investigated the consumer acceptance process of the fourth industrial revolution new product to be introduced into the market in the future. The 4th Industrial Revolution new products are technological advances compared to the existing ones. The technology acceptance model that was used in the past has been modified to reflect variables like the social effects of the 4th Industrial Revolution, expected experience, and perceived risk. Modified models were proposed and verified. Six representative new products of the 4th Industrial Revolution were selected and examined by 40 respondents, and the hypotheses were verified using programs such as SPSS and AMOS. And conclusions and implications are as follows. First, the innovativeness of the fourth industrial revolution new products influences positive evaluation factors such as expected experience and perceived usefulness and it also affect positively to the perceived risk. In addition, the expected experience of the fourth industrial revolution new products has a great effect on the perceived usefulness and social influence, but it didn't affect to the perceived risk. Like the results of the TAM model, purchase intention of the fourth industrial revolution new products are strongly influenced by perceived usefulness. Finally, the perceived risk of the new product of the 4th Industrial Revolution had no statistically significant effect on the purchase intention, and the social influence of the 4th Industrial Revolution had a significant effect on the purchase intention. In general, respondents are highly aware of the social impact of the Fourth Industrial Revolution and seem to be very positive in this respect.

• Information Systems Review
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• v.18 no.2
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• pp.151-171
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• 2016

With the widespread adoption of mobile devices, such as smart phones and smart pads, as well as the rapid growth of mobile technologies, consumer shopping patterns are changing. This study investigates key factors of consumer purchasing intention in a mobile shopping mall context by incorporating trust belief into the theory of planned behavior. We posit perceived usefulness, perceived enjoyment, perceived ease of use, and trust belief as antecedents of behavioral attitude toward mobile shopping malls. Moreover, social influence and security are identified as key enablers of trust belief on mobile shopping malls. Data collected from 154 consumers with purchasing experience in mobile shopping malls are empirically tested against a research model using partial least squares. Analysis results show that behavioral attitude and perceived behavioral control significantly influence purchasing intention. Moreover, this study reveals the significant effects of perceived usefulness and perceived enjoyment on behavioral attitude. Trust belief indirectly influences purchasing intention through behavioral attitude and is significantly affected by social influence. Understanding consumer purchasing decision-making processes in mobile shopping malls can help service providers to develop effective marketing and operation strategies and campaigns.

• Knowledge Management Research
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• v.21 no.4
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• pp.227-241
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• 2020

In the acceptance of new technology products, not only the characteristics of the product itself, but also the consumer's psychological perception of the product has a great influence. This study analyzed the effects of psychological variables such as perceived risk, technology trust, and optimistic bias on consumers' intention to accept new technology products. This study selected nanotechnology, and we found consumers with high perceived risk showed relatively low intent to accept nanotechnology products compared to consumers with high perceived risk. However, in case of high level of technology trust, consumers with high perceived risk did not show any significant difference in the intention to accept nanotechnology products. We also found that such moderating effect of technology trust is mediated by optimistic bias. We hope that the findings of this study can give meaningful implications to nanotechnology developers, marketers, and policy makers in nanotechnology industry.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.183-193
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• 2019

This study empirically analyzed the factors affecting satisfaction and consistent use of 'home training' on personal media service YouTube based on Post-Acceptable Model. To this purpose, data were collected from adult men and women with personal media service using experience. As for data analysis, frequency analysis, correlation analysis, confirmatory factor analysis, reliability analysis and path analysis were performed by using SPSS 21.0 and AMOS 21.0. The results of the study were as followed. First, using motivation of YouTube home training had a positive effect on usefulness. Second, health literacy had a positive effect on usefulness. Third, it was found that the expectation confirmation of the home training on personal media service positively influenced usefulness. Forth, expectation confirmation of the home training on personal media service had a positive effect on satisfaction. Fifth, usefulness had a positive effect on satisfaction. Sixth, usefulness had no significant effect on consistent use intention. Seventh, satisfaction had a positive effect on consistent use intention. Behavioral analysis with collective demographic factors and diverse analysis considering the differentiation of the personal media service are suggested for further research.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• The Journal of Fisheries Business Administration
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• v.24 no.1
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• pp.45-64
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• 1993

The law of territorial sea is a fundamental law by which the width of sovereign domain of a coastal state is determined. The P.R.China'a regime on the territorial sea was established through the Declaration on China's Ttrritorial Sea of 1958 and the P.R.China's Territorial Sea and Contiguous Zone Law of 1992. And the P.R.China's consistent policy on the territorial sea can be summarized as follows ; \circled1 The adoption of the straight baseline and 12 nautical miles of the territorial sea width, \circled2 The foreign merchant vessels can enjoy the right of innocent passage, while requesting for prior permission for the foreign military vessels on the entry into territorial sea. \circled3 The Chiungchow Strait and the Bohai Bay are claimed as the internal waters. \circled4 Enlistment of the whole coastal islands including the Taiwan. 12 nautical miles of the territorial sea width can be recognized as lawfull with respect to the 1982 UNLOS Convention. But the P.R.China's Territorial Sea and Contiguous Zone Law of 1992 contains some problems on the legality viewed in the light of customary international law. Firstly, it can be said that the adoption of simple straight baseline is not reasonable, and it must be investigated closely on the hidden intention of China. Secondly, there involved some possibility of international dispute on making Tung Tao which is 69 nautical miles apart from the mainland of a basepoint and on making the Bohai Bay of a historic bay. And also public notification of all basepoints for the straight baselines is necessary to meet the requirement of customary international law, Thirdly, two military zones established unilaterally in 1950 are illegal with respect to the customary international law, and they must be repealed deservedly. Fourthly, there have a lot of restrictions on the innocent passage even for foreign merchant vessels by the municipal law such as the Maritime Traffic Safety Law. As a conclusion, the P.R.China's territorial sea regime contains some illegal elements such as unilateral expansion of the maritime sovereignty or jurisdiction. In order to meet the general principle of the international law, the P.R.China's territorial sea policy must be modified on the basis of multilateral agreement with the states concerned. And Korea, as a state with opposite, has a definite right to take countermeasure agaist the P.R.China's contiguous zone.