• 한국IT서비스학회지
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• 제20권6호
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• pp.17-43
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• 2021

Currently, various discussions are underway to establish a more advanced management system for public rental housing. Also, it calls for improvement methods for problems arising in management of the current rental housing system. In this regard, this study aims to evaluate determinants that affect user acceptance intention of blockchain technology to implement a new system that complements drawbacks of the current public rental housing system. The study uses the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical model; the study model utilizes three UTAUT variables -performance expectancy, social influence, and Facilitating conditions-, applies security, availability, and reliability that are perceived from blockchain technology as external parameters to facilitate understanding of user acceptance intention of blockchain technology, and evaluates whether innovativeness can regulate the influence of performance expectancy, social influence, and Facilitating conditions on user acceptance intention of blockchain technology. Based on the significant survey result where 274 IT technicians participated, the study applies structural equation modeling to explore structure of user acceptance intention in the blockchain-based management system for public rental housing. As a result, security-reliability and availability are found to factors as determinants for user acceptance intention, affecting implementation of the public rental housing management system, while innovativeness shows no significant statistical results related to regulation effect. This study has implications in that it understands characteristics of blockchain and empirically analyzes the relationship between the characteristics and acceptance intention to enable blockchain's contribution to activate the public rental housing management system in the future.

• Asia pacific journal of information systems
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• 제11권2호
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• 품질경영학회지
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• 제50권1호
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• pp.43-61
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• 2022

Purpose: The purpose of this study was verifying factors that affect to intention to use AI financial services and finding a way of building an user oriented AI ecology. Methods: This study used the UTAUT (Unified Theory of Acceptance and Use of Technology) model with independent variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, trust, personal innovativeness and AI understanding as moderating variable. The data was collected through online & offline survey with questionnaire from 330 financial customers. Results: As a result, the analysis suggested that the performance expectancy, social influence, facilitating conditions, personal innovativeness are statistically significant to the intention to use AI. It was also found that AI knowledge of users differently influence the intention to use through the moderating effect on the facilitating conditions. Conclusion: Performance expectancy, social influence, facilitating conditions, personal innovativeness have positive causation to the intention to use in AI financial service. On the facilitating conditions, unlike other variables, it was found that the user's intention to use was different by the level of AI understanding. It means that customers could have the strong intention to use AI even though they don't have enough pieces of knowledge on the factors. Customers seem to be of recognition that the technology has certain benefits for themselves. The facilitating factors are significantly affected by AI understanding and differently effect on the intention to use AI.

• Asia pacific journal of information systems
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• 제16권2호
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• pp.123-141
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• 2006

Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, as well as PC games, Video games and online games, offer a unique value for users in providing an exciting digital experience in virtual worlds. The overall trend for mobile games is towards bigger, more colorful, more involving and exciting contents, which might build upon the developing capabilities of mobile phones and networks, in order to bring new styles, concepts and experiences of game play to the users. In this paper, we investigate the factors influencing the usage and acceptance of the mobile games, based on the extended version of the Technology Acceptance Model (TAM). Based on data collected from online survey, we show that perceived usefulness, ease of use are the major determinants for mobile game users to play games. Four factors, including ease of use, self-expressiveness, visibility, and innovativeness are empirically shown to determine the level of perceived usefulness; additionally, innovativeness and facilitating conditions are shown to directly affect ease of use. Based upon the statistical results, some useful guidelines for game development and market penetration strategies are also provided.

• 농촌지도와개발
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• 제30권1호
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• pp.15-29
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• 2023

Recently, there has been increasing interest in renewable energy in the agricultural sector. Agrophotovoltaics, producing electricity while farming, has attracted much attention. This study aims to identify the factors influencing the acceptance intention of Agrophotovoltaics. Using the UTAUT2 model, we designed a research model to examine the impact of performance expectancy, effort expectancy, facilitating conditions, social influence, and investment utility on the intention to adopt Agrophotovoltaics through the mediation effect of the user's innovativeness. We conducted a survey on farmers and obtained 212 responses for the final analysis. The results showed that effort expectancy and innovativeness significantly positively affected the intention to adopt Agrophotovoltaics. Furthermore, innovativeness was found to fully mediate the relationship among performance expectancy, facilitating conditions, investment utility, and acceptance intention. This suggests that focusing supportive measures on innovative groups could promote the adoption of Agrophotovoltaics.

• 디지털콘텐츠학회 논문지
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• 제13권3호
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• pp.301-307
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• 2012

본 연구는 모바일 쿠폰 서비스의 만족도에 미치는 영향 요인을 정량적으로 실증하고자 하였다. 따라서 연구자는 사용자가 인식하는 모바일 쿠폰의 만족도, 구전, 그리고 외생변인들 (경제적 가치, 신뢰도, 즐거움, 혁신성 등) 간의 경로와 관계를 검정하기 위해 구조방정식 모델링 방법론을 통해 확인하였다. 연구 결과 모바일 쿠폰의 사용자들(일부지역 대학생 중심)은 기존의 쿠폰과 유사한 모바일 쿠폰의 특성에 대해 이해하고 있으며, 쿠폰의 경제적 가치, 혁신성 등이 신뢰, 즐거움에 영향을 주고, 이들이 만족과 구전에 영향을 주는 것으로 확인이 되었다. 또한 연구자는 현재 다양한 쿠폰 관련 앱들이 개발되는 시점에 제시하는 정량적 연구로서 공헌점이 있을 것으로 보았다.

• 농촌지도와개발
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• 제31권2호
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• pp.85-101
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• 2024

Globally, technologies and policies are being developed to reduce greenhouse gas emissions. In agriculture, there's increasing interest in reducing methane emissions from paddy fields by improving water management practices. While automated irrigation systems are being developed, research on farmers' adoption intentions is lacking. This study aims to examine factors influencing farmers' acceptance of these systems using the UTAUT2 model. Results show that effort expectancy, facilitating conditions, price value, and user innovativeness positively influence acceptance intention, while perceived risk and innovation resistance negatively impact it. User innovativeness partially mediates the effects of facilitating conditions, price value, perceived risk, and innovation resistance on acceptance intention. Policy implications are proposed to promote the adoption of automated irrigation systems.

• 디지털융복합연구
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• 제10권10호
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• pp.237-245
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• 2012

본 연구의 목적은 모바일 서비스 이용자의 감성적 가치 인식과 만족도에 미치는 영향 요인을 정량적으로 실증하고자 하였다. 따라서 연구자는 사용자가 인식하는 모바일 상품권의 감성적 인식, 만족도, 구전, 그리고 외생변인들 (경제적/이성적 가치, 신뢰도, 즐거움, 혁신성 등) 간의 경로와 관계를 검정하기 위해 구조방정식 모델링 방법론을 통해 확인하였다. 연구 결과 모바일 상품권의 사용자들은 상품권의 감성적 인식과 혁신성 등이 모바일 상품권의 신뢰와 즐거움에 영향을 주는 것으로 확인이 되었다. 또한 신뢰, 즐거움 등이 만족과 구전으로 영향을 주는 것으로 나타났다. 따라서, 모바일 상품권의 감성적 소구가 마케팅 도구의 일환으로 활용될 경우, 기업은 고객의 만족과 자발적인 구전 관점에서 효율성을 극대화 할 수 있을 것으로 보았다. 연구자는 본 연구가 첨단산업의 초기 개발단계에 있는 모바일 상품권 사용자의 감성적 인식 요인을 정량적으로 검정한 것으로 이론적 실무적 공헌점이 있을 것으로 보았다.

• 디지털융복합연구
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• 제20권3호
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• pp.169-180
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• 2022

코로나19 팬데믹 상황으로 사람들이 실내에서 보내는 시간이 늘어남에 따라 콘텐츠 소비가 증가하고, OTT(Over The Top) 서비스에 대한 수요도 급증하고 있다. 따라서, 본 연구에서는 OTT 서비스의 특성이 사용자가 지각하는 가치, 만족도, 지속적 이용의도에 어떠한 영향을 미치는지 실증분석을 통해 검증하고자 하였다. 설문조사를 통해 437개의 응답을 수집하였고, AMOS 26.0을 이용하여 분석하였다. 그 결과, OTT 서비스의 특성은 지각된 가치에 정(+)의 영향을 미치고, 지각된 가치는 사용자 만족도와 지속적인 이용의도에 정(+)의 영향을 미치는 것으로 나타났다. 이용자 만족도 역시 OTT 서비스를 계속 이용하려는 의도에 정(+)의 영향을 미치는 것으로 나타났다. 또한, OTT 서비스 특성과 지각된 가치 간의 관계에서 쾌락적 혁신은 편재성을 제외한 다른 모든 관계를 강화하는 것으로 나타났다. 본 연구 결과는 OTT 서비스 제공자가 사용자의 행동을 이해하는데 있엉 중요한 정보를 제공해 주고 있다.

• 한국의류산업학회지
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• 제23권3호
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• pp.347-357
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• 2021

This study analyzed the effects of optimism and innovativeness, the two drivers of a consumer's technological readiness to use an augmented reality(AR) fashion shopping service within the framework of the Technology Acceptance Model (TAM). The survey was conducted on 249 people (males = 58; females = 191) in their 20s who were willing to participate in the AR experience. Data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling by AMOS 22.0. The results indicated that a greater level of perceived optimism had a positive influence on the ease of use and usefulness of the technology. The findings also show that consumers with a high degree of innovativeness tend to have a higher level of playfulness toward AR fashion shopping. Regarding the effects of user beliefs, ease of use had a positive effect on the perception of usefulness and playfulness with higher levels implying a higher consumer intention to adopt an AR fashion shopping service. In addition, this study reveals the moderating effect of consumers with high-fashion versus those with low-fashion innovativeness. For the latter, technological innovation had an insignificant effect on playfulness, thus indicating that consumers with low interest in fashion did not enjoy AR fashion shopping even if the technology was highly innovative. Nevertheless, the analysis confirms the possibility that experiencing a fashion product through AR technology could replace the actual experience of wearing the products.