• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.463-483
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• 2014

Data are dramatically increased and big data technology is spotlighted innovative technology among the latest information technologies. Organizations are interested in adoption of big data system to analyze various data format and to identify new business opportunity. The purpose of this study is to build a unified model for a system adoption through analysis of impact that affects behavioral intention and usage behavior of using big data. This study in addition to Technology-Organization-Environment (TOE), that is used the introduction of organizational studies, and Diffusion of Innovation (DOI) have implemented an extended unified model including the unified theory of acceptance and use of technology (UTAUT) that is usually used in personal level adoption study. The hypothesis was set up after implementing research model, and then got 411 effective survey data to target the member of organizations. As a result, all models (UTAUT, TOE, DOI) are affect to behavioral intention and usage behavior. It is verified that the suggested unified model was appropriate.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.19-47
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• 2012

Contemporary smartphone competition is generally described as the battle between Apple's proprietary platform and Google's open platform. However, this competition is not limited within smartphone adoption itself. User's pre-adoption of one mobile platform via smartphone can be connected to the post-adoption of the same mobile platform based on the other smart devices (e.g. smart pad). In this study, we investigate whether user's preference to a certain platform is persistent over mobile ecology, from the pre-adoption of one smart device to the post-adoption of following devices. For this investigation, we adopt the dual-model as the ground theory, where post-adoption of IT product is explained by both dedication and constraint factors. The empirical testing first evidences that dual model works well as our research model for identifying the reasons of post-adoption. Next, we group our data into two parts in order to compare the switching behavior of iPhone users and Android phone users. iPhone users show much lower switching rate to Android based smart pads, while Android phone users show higher churn rate to iPad (49.3% : 96.3%). Especially, satisfaction showed much stronger effect than switching cost on the continuing intention of existing platform, when the analysis is given to the iPhone user's group. From this result, we can conjecture the relatively stronger loyalty of iPhone users. More managerial implications on the mobile platform strategy are driven.

• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.209-220
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• 1999

Quick response in the textiles and clothing industry is widely recognized at a strategic concept implemented by information technology to transfer changes in customer needs to the final product as soon as possible. This paper addresses which factors should affect the adoption of quick response systems in Korea. We surveyed 108 companies in the textile and clothing industry by using a questionnaire. We asked whether they adopted QR or not, and measured the usage level of QR-related ITs and the level of both internal and external factors in Likert's scale. We conducted multiple linear regression to analyze the data collected by using SAS. The findings are as follows: The adoption of QR, measured by the usage level of QR-related ITs, is positively affected by internal factors such as the recognition of QR concept and the capability for IT applications and by external factors such as the overall informating level of the industry, the needs for cooperation between organizations, and the leadership as an industry coordinator.

• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.173-189
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• 2005

The technology acceptance model (TAM) is a lot of cited in information technology adoption and usage researches. TAM has a base in psychological research, is parsimonious, explains usage behavior quite well, and can be operationalized with valid and reliable instruments. But TAM has been conducted primarily in volitional environments of the adoption of new technology. This paper discusses technology acceptance in accounting information systems to examine TAM with subjective norm and perceived behavioral control in mandated using environments. The results show that in mandatory environments such as accounting information systems, subjective norm is not a significant effect on the behavioral intention. Perceived usefulness and perceived behavioral control are significant the factor on the behavioral intention. The implications of finding are that perceived usefulness and perceived behavioral control play major role in technology acceptance rather than subjective norm in accounting information systems with mandatory environments.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.17-22
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• 2008

The emergence of open source software (OSS) with its successful projects and its most prominent advantages creates a vast interest among academics and practitioners. However, it has been found that focusing on the developments of OSS to be successful is not adequate and the adoption of OSS by uses is also very important. Although there are a great number of useful and easy to use OSS has been developed, the adoption of OSS and usage in the market is very low. Based on the technology equity implementation model (EIM), this study examines user resistance in the adoption of OSS (i.e., switching from the current system to OSS). A survey has done regarding the adoption of Linux as the case of study. We have found that user resistance to change has negative effect on adoption intention, and switching benefits, switching costs and perceived value have significant relationships with user resistance to change.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.147-169
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• 2003

Individual adoption and sustained usage of information technology(IT) are crucial prerequisites for exploiting IT as integral components of organizational work. Previous studies on technology adoption in workplace suggest that acceptance behavior is influenced by a variety of factors such as individual differences, social influences, beliefs, attitudes, and situational influences. In this paper, we introduce a research model to predict the usage behavior of intranet in workplace and also explain the causal relationships among variables. Based on the survey of 333 intranet users, this study uses structural equation model with LISREL 8.12. This study suggests several major results from surveys and analysis from them. Perceived use is influenced by intranet experience, task equivocality, organizational support, and perceived ease of use, Experience and organizational support determine perceived ease of use. Task equivocality, task interdependence, and organizational support have positive effects on subjective norm. On the other hand, present usage, which is a dependent variable in this model, is influenced by perceived use, experience, task interdependence, and organizational support.

• The Journal of Information Systems
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• v.13 no.1
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• pp.121-134
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• 2004

As Internet usage widely grows, online content services such as newspaper, magazine, music, game and movie are provided with a fee-based subscription. Many content services providers consider charging a usage fee into its service provisions as one of the Internet business models for increasing revenue. There are customer resistances to adopting the fee-based service provision on the Web. Previous research in information systems (IS)has focused on the analysis of adoption of information technology or systems in the individual ororganization level. No principle research has been carried out on the user adoption behavior of online content services provisions. As users actively access content services on the Web, it needs to explore user adoption behavior in different settings. Many IS researcher have employedquantitative approaches, even though they deal with the process of user behavior regarding the information technology or system. In this study, we attempt to discover how customers adopt the fee-based provision of online content services by employing grounded theory, one of the principal qualitative research methods.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.41-59
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• 2012

This study examines the roles of user resistance and social influences on the acceptance and continuous usage of smartphones at different stages of adoption. The respondents were classified into three groups according to their innovation adoption stage : non-user group, the potential user group and the trial user group. Theories relevant to user resistance, social influences including normative social influences and informational social influences, as well as user adoption and continuance behavior were reviewed and integrated into our research model. In order to verify the proposed structured equation model, we conducted an online survey by targeting mobile phone users and collected data to be analyzed through a partial least squares (PLS) test. This study tested whether there exists differences in the effects of user resistance and different types of social influence on user's adoption or continuance intetion among these three groups. The results showed that user resistance exists in all adopter groups and that it has significant negative influences on intention to use a smartphone. The findings also revealed that user resistance can be enhanced or resolved by two types of social influence; informational social influence resolves user resistance regardless of the adopter category, while normative social influence enhances the user resistance of potential users. Furthermore, the findings show that social influence regardless of the type positively affects user intention. Several theoretic and practical implications pertaining to the results are discussed.

• ETRI Journal
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• v.28 no.1
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• pp.67-76
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• 2006

This study aims to identify the factors that influence adoption intentions towards portable Internet service, based on the individual characteristics that assist in creating markets and developing strategies. Two types of factors are defined: individual characteristics including demographics, existing services usages, prior knowledge, adoption attitudes, and service evaluations; and adoption intentions including the willingness to subscribe, subscription term, willingness to pay, usage type, and preferred terminal. The results indicate that the importance of demographic variables depends on adoption intentions, and that users of mobile Internet service and wireless LAN are probably targets for portable Internet service. Furthermore, the results demonstrate the need for an enhanced perception of the usefulness and ease of use of service, as well as an intensive marketing activity for potential users and a bearable innovation to stimulate the market for portable Internet service.

• Journal of Information Technology Applications and Management
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• v.27 no.5
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• pp.1-22
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• 2020

Due to the low usage level of traditional financial services in many developing countries, Fintech services that often substitute for such traditional services with greater convenience have great potential in these markets. However, there have thus far been relatively few attempts to examine Fintech adoption in developing countries. As financial services are a highly sensitive industry in terms of government regulation and consumer trust, it is critical for policymakers to understand how to foster a healthy Fintech marketplace in developing country environments. In this paper, we review the scholarly literature on Fintech adoption with respect to three stakeholder groups: customers, service providers, and policymakers. Adding with practitioner-oriented documentation relating to Fintech adoption in Vietnam, we derive propositions for Fintech adoption research in Vietnam and similar developing countries. We collect these propositions as a framework that suggests avenues for future research.