• The Journal of Information Systems
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• v.14 no.2
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• pp.101-132
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• 2005

There is a need for research to identify the integrated, rather than fragmented, factors that determine users' acceptance of Internet shopping. Using the newly revised technology acceptance model (TAM) as a theoretical framework, this study investigates the effect of a set of information systems quality (information quality and system quality) and trust on intention to use Internet showing through perceived ease of use and perceived usefulness. Using structural equation modeling, the results strongly support the utilization of TAM in predicting users' intention to use Internet shopping, and demonstrates the effects of critical external variables on behavior intention through perceived ease of use and perceived usefulness. Systems quality such as response time, accessibility, and usability has significant effects on perceived ease of use of Internet shopping. Futhermore, trust has also a significant effect on perceived usefulness, perceived ease of use, intention to use Internet shopping, and actual usage of Internet shopping. Based on these results, this study suggests managerial implications of new Internet shopping strategies, focusing on the integration of information systems quality and trust in order to achieve sustainable competitive advantage in Internet shopping.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1193-1204
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• 2021

This paper aims to examine the main factors that influence the adoption of Islamic banking services in Indonesia. This research collects primary data by distributing questionnaires to 550 respondents in 29 provinces in Indonesia. A total of 550 questionnaires were returned comprising 34.2 percent male respondents and 65.8 percent female respondents. Most of the respondents were in the age group of 21-30 years with the highest level of education being high school. Most of the respondents were working in private firms, with a monthly expenditure of IDR 2,500,000. The independent variables in this study are bank reputation, perceived complexity, perceived compatibility, perceived risk, relative advantage, religiosity, and social influence. Meanwhile, the dependent variable is customer interest in adopting Islamic banking services. The result of this study indicates that awareness and perceived compatibility have a positive effect on customer intention to adopt Islamic banking services. Likewise, religiosity and social influence also have a significant and positive effect on customer intention to adopt Islamic banking services. Meanwhile, bank reputation and perceived complexity have no effect on customer intention to adopt Islamic banking services. Lastly, perceived risk has a negative and significant effect on customer intention of adopting Islamic banking services in Indonesia.

• The Journal of Information Systems
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• v.11 no.1
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• pp.105-127
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• 2002

The objective of this study is to analyze factors affecting usage of b2b e-marketplace. For this purpose, we suggest a research framework where the factors are e-business infrastructure, expectation of competitive advantages and perceived barriers with current and future usages as result variables. For empirical test, 219 companies are surveyed and 177 valid ones among them are analyzed. In result, e-business infrastructure and competitive advantage affect to both current and future usage positively and perceived barriers affect to future usage negatively. The results shows the following two: First, many companies expect improvement of competitive advantages such as bargaining power and efficiency by usage of e-marketplace. Second, for more aggressive usage of e-marketplace, it is important not only to build e-business infrastructure but also to resolve perceived barriers.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.27-46
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• 2007

Korean homenetwork industry is now faced with problems like low profitability and unclear commercialilzation. In particular, low awareness of homenetwork usefulness is one of the main reasons why homenetwork industry is not developed. Therefore, this study tried to find what kinds of characteristics of homenetwork affected the value of apartment and how. we conducted a survey of residents of apartment with homenetwork installed in it. Surveyed data was analyzed based on the model of extended Technology Acceptance Model(TAM) including perceived enjoyment and perceived trust as new factors. The research result showed that all factors involved in suggested model had positive effects on the behavioral intention of using homenetwork and the value of apartment. Most importantly, homenetwork user's behavioral intention increased perceived housing value of the apartment. The research result can be used in explaining the advantage of homenetwork to the residence of apartment as well as in designing the homenwtwork install of apartment.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.1-18
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• 2013

Big data has become a worldwide topic. Despite this, big data accurately understand and acquire the business to take advantage of companies that were only very few. The purpose of this study is to investigate the factors that effect Korean firm's adopting big data system. Empirical test was conducted to verify hypotheses using extended technology acceptance model and we analyzed factors which affect the behavioral intention of big data System. Based upon previous researches, we have selected organization innovation, organization slank, organization information system infra maturity, perceived benefits of big data system, perceived usefulness, perceived ease of use, behavioral intention as variables and proposed a research model based on survey questionnaires. From those, we drew that perceived usefulness and perceived ease of use influenced the behavioral intention. The results of this study will increase the users' awareness on big data system and contribute to develop a way to enable the introduction of new technologies.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.51-67
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• 2011

This research looks at the innovative product characteristics, environmental properties, and personal attitudes as antecedents of consumer's perceived usefulness and easiness of product usage. And the attitudes toward digital convergence products and its acceptability as consequences. The results indicate that relative advantage, expectation for better product, the social influence, mass communications, and attitudes toward the new technology, significantly influence the perceived usefulness. The current research revealed that perceived usefulness is more influential over perceived easiness on the formation of positive attitude toward the product. The users of digital convergence products put more weight on the availability of the product functions rather than easiness of use.

• The Journal of Information Systems
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• v.25 no.4
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• pp.87-104
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• 2016

Purpose As the smartphone market arrived at its saturation, from world leading information and communications technologies (ICT) businesses to startups, companies are competing to develop innovative wearable device products and suitable contents. Utility, technology, design, price, and various killer contents development targeting every customer's need should be considered for a success in the wearable device market. Design/methodology/approach Prior studies on innovation technology of ICT field have mainly focused on the innovation diffusion theory, expectation confirmation theory, and technology acceptance model, this study suggested the innovation resistance factors of adopting the smart wearable devices based on the innovation resistance model and theory of perceived risk. The model comprises the following two characteristics factors: 1) innovation characteristics which include perceived relative advantages, perceived compatability, perceived complexity, and perceived risk, 2) consumer characteristics which include attitudes towards innovation and existing products (i.e., mobile devices and analog watches). This study developed an extended innovation resistance model to explain the intention to acceptance of wearable devices consumers and collected 284 online survey responses from the non-consumers of the wearable devices. Findings The findings of this study suggest that perceived relative advantage, perceived compatibility, perceived complexity, perceived risk, attitudes towards innovation and attitudes towards existing analog watches affected the innovation resistance which has negative influence on the intention to adoption of wearable devices.

• Journal of Information Technology Services
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• v.22 no.2
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• pp.41-56
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• 2023

Metaverse is a three-dimensional virtual space where virtual and reality interact and co-evolutionize, and social, cultural, and economic activities are carried out in it to create value. Among the types of metaverse, the virtual world metaverse is expected to bring innovation beyond time and space in all areas of industry and society following the Internet. This study empirically analyzed factors affecting consumer's intention to use the virtual world metaverse by an innovation diffusion perspective. It was analyzed as an expanded technology acceptance model by setting relative advantages, ease of use, and visibility among the attributes of the innovation diffusion, and social presence, telepresence, and interactivity among the characteristics of the virtual worlds as factors. The proposed research model and hypothesis were verified through a PLS structural equation analysis based on a survey of 216 people. Studies have shown that relative advantage, telepresence, and interactivity have a significant effect on perceived usefulness and perceived enjoyment, but visibility does not have a significant effect on perceived usefulness and perceived enjoyment. It was found that ease of use had a positive effect on perceived enjoyment, social presence had a positive effect on perceived usefulness, and perceived usefulness and perceived enjoyment had a positive effect on the intention to use, respectively. This study is meaningful in that it empirically analyzed the factors affecting the intention to use the virtual world metaverse by dividing the psychological characteristics that induce consumer behavior into perceived usefulness which is an extrinsic motivation and perceived enjoyment which is an intrinsic motivation.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.383-394
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• 2021

This study examines the determinants that affect the continuous intention to use of augmented reality applications by applying the technology acceptance model2(TAM2). A survey was conducted on 241 people, and the main results were derived by performing confirmatory factor analysis, correlation analysis, and path analysis using SPSS 21.0 and AMOS 21.0 programs. Presenting the results, it was found that the user's interface, interactivity, and relative advantage of the augmented reality application had a positive effect on perceived usefulness, and technological self-efficacy had a positive effect on perceived usefulness and perceived ease. Perceived ease of use had a positive effect on perceived usefulness, and both perceived usefulness and perceived ease had a positive effect on continuous intention to use of augmented reality applications. In future research, it will be necessary to verify the user effect of augmented reality applications by applying the fields of education or games.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.4
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• pp.11-40
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• 2004

Organizations have attempted to develop Knowledge Management Systems for achieving competitive advantage by effectively managing organizational knowledge. However, if Knowledge Management Systems are not user-oriented, organizations may not attain desired goals. That is, it must be utilized and accepted by organizational members to be successful systems. This study proposes an extended Technology Acceptance Model and empirically validates it. For that purpose, a research model is set UP that consists of antecedent variables, perception moderators, and intention to use the system. Empirical data analysis found significant relationships among research variables, as suggested in research hypotheses. The results of the analysis indicated that perceived usefulness, ease of use, job relevance and information quality should be considered as important factors in designing Knowledge Management Systems. In addition, perceived value, incentive, affect, self-efficacy, and image were found to influence the perception of users in the usage situation.