• Asia pacific journal of information systems
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• v.27 no.3
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• pp.156-175
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• 2017

The proposed conceptual framework is based in the relationships among knowledge of personal information security, trust on the personal information security policies of parcel delivery service companies, privacy concern, trust in and risk of parcel delivery services, and user satisfaction with parcel delivery services. Drawing upon both cognitive theory of emotion and cognitive emotion theory that complement each other, we propose a research model and examine the relationships between cognitive and emotional factors and the usage of parcel delivery services. The proposed model is validated using data from customers who have previously used parcel delivery services. The results show a significant relationship between the cognitive and affective factors and the usage of parcel delivery services. This study enhances our understanding of parcel delivery services based on the consumers' psychological processes and presents useful implications on the importance of privacy and security in these services.

• The Journal of Information Systems
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• v.30 no.3
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.241-248
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• 2018

Recently, there have been calls for approaching from the irrationality point of view to better explain the privacy paradox phenomenon. This study is a kind of response to them. The aim of the study is to investigate how satisfying competence needs, one of basic psychological needs suggested in self-determination theory, affects irrational information disclosure decision (i.e., risk-benefit assessment). To do this, the study builds an irrationality-based model in which competence needs satisfaction affects both perceived risks negatively and perceived benefits (i.e., relationship building and maintenance), which in turn determine a level of self-disclosure. Based on the data from Facebook users which is collected by a large sample survey (N=1050), the study analyzes it using Mplus, a powerful structure equation modeling tool. The study results reveal that while the relationship between competence needs satisfaction and perceived relationship building and maintenance is statistically significant, the relationship between competence needs satisfaction and perceived risks insignificant. These findings imply that people who is in a high level of competence needs satisfaction is more likely to respond to some opportunities for social benefits and in turn disclose more information about self.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.19-30
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• 2022

Purpose - The research aims to explore the ability of the combination of the Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) to predict and explain the online shopping intention of Vietnamese consumers. The findings of this study provide empirical results to assess the factors influencing behavioural intention in the E-commerce field. Research design, data, and methodology - The research approach of this study is quantitative. The data was collected from 214 respondents on e-commerce platforms. The collected data will then be analyzed to test the proposed hypothesis in this study. Multiple Regression Analysis and Simple Linear Regression are employed to test the hypothesis. Result - Perceived benefits, Perceived risk reduction, and trust positively influence Attitude toward using Ecommerce. There is a positive relationship between Subjective norms and Behavioural intention to shop online. There is a positive relationship between Attitude toward using E-commerce and Behavioural intention to shop online. Conclusion - This study is based on the Theory of Reasoned Action (TRA) model and the Technology Acceptance Model (TAM) to explore the factors influencing the online shopping intention of Vietnamese consumers. Besides, this paper contributes to the managerial implications for E-commerce managers and policymakers to promote E-commerce among Vietnamese consumers.

• The Journal of Information Systems
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• v.28 no.3
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• pp.159-202
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• 2019

Purpose The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.

• Korea Trade Review
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• v.47 no.6
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• pp.71-96
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• 2022

This research will study the conversion intention of the users in China from fuel vehicle to new energy vehicles through the empirical methods. To this end, a questionnaire survey was conducted with car users as the object, combined with the theory of user migration and the PPM model to analyze the impact of fuel vehicle users' conversion intention to new-energy vehicles factor. The results showed that purchase experience contains the moderating effect, in which perceived risk and switching costs had a greater impact on the groups without purchase experience, whereas social identity, perceived value, personal attitude, and willingness to switch had a greater impact on groups with the purchase experience. Among all five factors, perceived risk had no discernible impact on the switching intention, but social identity, perceived value, attitude toward switching, and switching costs all had discernible impact on the switching intention. This study expects to come out with sustainable advises for the future growth of new energy vehicles from the study of car users' switching intention and the collective difference test of purchasing experience.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.185-194
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• 2016

Several game developers or publishers adopt open innovation strategies to reduce R&D costs and increase user loyalty about their games. User communities play an important role in increasing users' interests in the game because they can share game information and skills in user communities. In this regard, this study explored key antecedents of game user participation intention in user community. We developed a research model by integrating perceived risk into theory of planned action. The theoretical model was tested by using survey data collected from 110 "Suddenattack" game users. Partial least squares (PLS) was utilized to analysis the research model. The findings of this study indicate that both perceived usefulness and perceived enjoyment play an important role in forming attitude toward community. However, contrast to our expectations, perceived risk has no signifiant effect on perceived usefulness, perceived enjoyment, attitude toward community and participation intention. While attention toward community significantly influences community participation intention, social norms are not significantly related to it. The analysis results help game developers or publishers establish effective strategies and policies to increase user participation intention in user community.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.251-264
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• 2022

The purpose of this study is to present factors and strategies for successful rewarded-crowdfunding of companies. For this, rewarded-crowdfunding based on the extended theory of planned behavior(E-TPB) by adding individual innovation and risk preference as extended variables, in addition to the basic variables of the theory of planned behavior(TPB), including attitude, subjective norm, and perceived behavior control. In addition, the moderating effect of rewarded-crowdfunding experience was confirmed. In addition, the moderating effect of the rewarded-crowdfunding experience was confirmed, and exploratory factor analysis and multiple regression analysis were conducted for questionnaires who were aware of the concept of rewarded-crowdfunding. As a result of testing the hypothesis, it was found that attitude, subjective norm, perceived behavioral control, and risk preference affect the intention to invest in rewarded-crowdfunding. Also, we could find that perceived behavior control and risk preference were moderately influenced by investor who had experience in rewarded-crowdfunding. Based on the research results, it has academic and practical value by presenting the direction of enhancing the success of rewarded-crowdfunding that companies can use as a way to raise funds and boost sales.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.1115-1125
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• 2022

Nuclear power plant (NPP) is currently considered as one of the most reliable power sources. However, 182 of them are considered decommissioned and inactive including the one in Bataan, Philippines. The aim of this study was to investigate the acceptance of the reopening of Bataan Nuclear Power Plant (BNPP) by integrating the Theory of Planned Behavior and Protection Motivation Theory. A total of 815 Filipinos answered an online questionnaire which consisted of 37 questions. The Structural Equation Modeling (SEM) indicated that knowledge towards nuclear power plants was the key factor in determining people's acceptance towards NPP reopening. In addition, knowing the benefits would lead to positive perceived behavioral control (PBC) and attitude towards intention. Results showed that PBC and attitude are mediators towards the acceptance of people regarding the reopening of BNPP. If an individual's knowledge gravitates towards the perceived risk, then this can lead to the negative acceptance of the NPP reopening. On the other hand, if an individual's knowledge gravitates towards the perceived benefits, then this will lead to positive acceptance. This study is the first study that explored the acceptance of the reopening BNPP. Finally, the study's model construct would also be very beneficial for researchers, government, and even private sectors worldwide.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.53-71
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• 2024

Generative Artificial Intelligence (AI) has become the focus of societal attention due to its wide range of applications and profound impact. This paper constructs a comprehensive theoretical model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), integrating variables such as Personal Innovativeness and Perceived Risk to study the key factors influencing enterprises' adoption of Generative AI. We employed Structural Equation Modeling (SEM) to verify the hypothesized paths and used the Bootstrapping method to test the mediating effect of Behavioral Intention. Additionally, we explored the moderating effect of Perceived Risk through Hierarchical Regression Analysis. The results indicate that Performance Expectancy, Effort Expectancy, Social Influence, Price Value, and Personal Innovativeness have significant positive impacts on Behavioral Intention. Behavioral Intention plays a significant mediating role between these factors and Use Behavior, while Perceived Risk negatively moderates the relationship between Behavioral Intention and Use Behavior. This study provides theoretical and empirical support for how enterprises can effectively adopt Generative AI, offering important practical implications.