• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.1-11
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• 2019

Recently, mobile and smart devices are rapidly spreading. As a result, financial settlement services, which were formerly face-to-face and PC-based, have now been replaced by mobile environments. One of the business areas that utilize FinTech is focused on the easy payment services. The main purpose of this study is to analyze empirically the factors affecting the acceptance of the easy payment services. To achieve this purpose, we surveyed the individuals who have some understanding about the easy payment services. The collected 206 data were used for statistical analysis. The results of the hypotheses test using structural equation model are summarized as follows. First, performance expectancy, social influence, and security perceived by users of the easy payment services have positive influence on positive attitude, but effort expectancy does not. Second, facilitating conditions and positive attitude of easy payment services have positive effects on service adoption. Based on the results of the analysis, it provided meaningful implications for practitioners and researchers in related fields.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.117-127
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• 2023

In many training institutions, the major advancement of Information Technology is having a profound impact on the way in which instructors teach and students learn, as well as how the two interact. The training process is continuing with the goal of enhancing the calibre of instruction and engagement. Top colleges and institutions have more recently developed a variety of Massive Open Online Courses (MOOC) systems centred on the development of new educational offering ways. These have not only captured the interest of students and scholars in the field of higher education, but also that of staff members in the private and public sectors. This study uses a Unified Theory of Acceptance and Use of Technology (UTAUT) model to assess the top MOOC providers and pinpoint the key elements influencing learner acceptance of MOOCs in Saudi Arabian training. A total of 382 government trainees in Saudi Arabia participated in an online survey, the results of which underwent analysis using structural equation modelling. This study identifies the key elements influencing Saudi government employee trainees' intentions to use MOOCs, with the findings indicating that the suggested model can account for 86.2% of user behaviour and 88.5% of user intentions.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.99-113
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• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.67-78
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• 2021

The subjects of this study are Chinese players who have participated in public welfare games. SPSS24.0 and AMOS24.0 were used to analyze the data, including reliability analysis, validity analysis, correlation analysis, structural equation model verification and so on. The hypothesis results show that Trust-Aware is the most important motivation dimension that affects players' participation in public welfare games. Under the dimension of Performance Expectancy, the main influencing factors are players' needs for self-realization and concern for vulnerable groups. Perceived Risk and Social Influence are the motivational factors that influence players' participation in public welfare games.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.101-116
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• 2019

In this paper, we propose a novel behavioral model that explains the use of the military battlefield management system more effectively in the non-voluntary use environment. This study intends to suggest a model based on the Unified Theory of Acceptance and Use of Technology(UTAUT), an extended TAM. Also, it introduces the concept of 'Conative IS use' as a dependent variable that can explain user's behavior more effectively in non-voluntary technology acceptance environment. In addition, we propose the major factors affecting the UTAUT components from the TOE(Technology-Organization-Environment) perspectives, and analyze their effects. In order to validate the proposed model, this study applies PLS(Partial Least Squares) to the survey collected from military personnel. The findings of our study may shed a light on improving the effectiveness of battlefield management information system.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.711-720
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• 2020

This research aims to analyze the factors affecting the acceptance of social commerce, including performance expectancy, effort expectancy, social support, facilitating conditions, hedonic motivation, habitability, price saving orientation, and privacy concerns using the Unified Theory of Acceptance and Use of Technology (UTAUT2). UTAUT2 has been examined and modified in various contexts. The research model studies the acceptance and use of technology in the context of customers. This study adopts a quantitative method using the partial least squares regression (PLS) approach involving 244 respondents. The respondents are users of social commerce in Indonesia. The result of this research indicates that social influence, facilitating conditions, hedonic motivation, habit, price value orientation, and privacy concerns have a significant effect on behavioral intention. On the other hand, performance expectancy and effort expectancy does not affect behavioral intention. Furthermore, price value has a significant effect on social commerce user behavior. Lastly, facilitating conditions and habits does not affect social commerce user behavior. This research contributes to the development of theory by examining an additional variable, which is privacy concern. This study is significant since social media and social commerce have grown exponentially nowadays. Implications of the results for the development of the theory (UTAUT2) and practice are discussed in the article.

• Korean Journal of Organic Agriculture
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• v.28 no.2
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• pp.119-138
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• 2020

The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569) > IT development level (β=.252) > social influence (β=.235) > performance expectancy (β=.182) > facilitating conditions (β=.134).

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.993-1001
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• 2021

This study aims to determine the factors influencing student performance using the teaching and learning process through e-learning based on the unified theory of acceptance and use technology (UTAUT). This study also sets out to propose additional variables to expand the UTAUT model to be more suitable to use in higher education. This research conducted a literature review, expert interviews, and a self-administered survey involving 200 students at tertiary institutions in Riau province, Indonesia. The questionnaire data were analyzed using SmartPLS 2. This study shows that UTAUT constructs, namely, social influence, facility conditions, and effort expectancy have a significant influence on student behavior and performance, while the performance expectancy variable shows no significant effect. The additional variables, including lecturer characteristics, external motivation, and organizational structure, directly affect student performance. However, concerning student behavior, motivation and environment are the only variables with a significant effect. The results of this study suggest the behavior deteminant such as lecturer characteristics, motivation and environment, and organizational structure improve student performance. This study investigates factors affecting the performance of university students through the learning employing e-learning by developing the UTAUT constructs to include the lecturer characteristics, motivation and environment, and organizational structure in improving student performance.

• The Korean Journal of Food & Health Convergence
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• v.8 no.1
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• pp.9-16
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• 2022

Recently, the use of serving robots has been increasing due to the increase in preference for non-face-to-face services and the rise in the minimum wage due to the coronavirus. When analyzing previous studies related to serving robots, it was confirmed that most of the studies on the functions and technologies of serving robots were conducted. Therefore, this study analyzed the factors affecting the attitude and customer satisfaction of restaurant consumers toward serving robots by adding performance expectations, effort expectations, and speed factors among the UTAUT2 models. The survey period was conducted from July 28, 2021 to September 9, 2021, and 306 out of a total of 310 surveys were used for analysis, excluding 4 unfaithful surveys. For the analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, and hypothesis test were performed using SPSS 20.0 and AMOS 20.0, and the research results are as follows. First, it was found that performance expectation, effort expectation, and speed had a significant positive (+) effect on attitudes. Second, it was found that attitude had a significant positive (+) effect on customer satisfaction. This study researched customer selection attributes of robot service restaurants using the UTAUT2 model, and also provided academic and practical implications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.187-188
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• 2019

2018년 12월 20일부터 '제로페이' 시범 서비스를 시작했으며, 2019년 3월 이후 본격적으로 정식 서비스를 시작해 전국으로 확대한다는 방침이다. 이론적 배경으로부터 도출된 가설을 검정하기 위해서 제로페이 사용자를 대상으로 편의표본추출법을 채택하여 설문 조사를 진행할 예정이다. 실증분석에서는 제시된 가설들의 영향 관계를 분석하고 이전 측정항목의 신뢰성과 타당성을 확보하기 위해 신뢰성 분석 및 타당성 분석을 실시한다. 또한 각 변수들 사이의 판별타당성과 변수간의 방향의 정도를 확인하기 위하여 상관관계분석을 실시하고, 경로모형과 가설을 검정한다. 본 연구를 통해 사용자들의 제로페이의 수용에 대한 결정요인을 보다 명확하게 이해할 수 있을 것이며, 관련 연구자나 실무자들은 물론 제로페이 서비스 기업들이 활용할 수 있는 마케팅 전략방안을 제시하고자 한다.