• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.621-628
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• 2017

There are a lot of articles about government trust, but there are very few researches about regulation trust. So, this study analyzes the influence factors on regulation trust, specially focuses on the mediated effect of government trust. This study surveys on 1,000 people, and the result shows that the influence factors on regulation trust are a academic ability, the benefit of regulation, the specialty of regulation, the fairness of regulation, and necessity of government. And there are the mediated effect of government trust on regulation trust. Therefore, if the government want to increase the execution and accommodation of regulation, then it is necessary to get the regulation trust. And to get the regulation trust, it is necessary to increase the government trust besides the specialty and the fairness of regulation.

• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.41-56
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• 2021

Purpose - This empirical study examined the influence of post-communist countries sociol-political factor of freedom of expression preconditioning, and trust in agency, mediating performance expectancy of social media users representing the citizens' behavioural intention to utilize social media in a post-communist country, the case of Mongolia. Design/methodology/approach - This research collected 403 valid survey data from citizens those who use social media in Mongolia. The study used Partial Least Squire (PLS) analysis with the research conceptual model founded on the UTAUT model. Findings - The study shown that citizens in post-communist, they strongly willing freedom of expression, which driving as a positive precondition factor, and this has an indirect positive influence, and trust in agency mediates to enhance performance expectancy. Social influence, and effort expectancy factors have direct positive influence on the intention to use of social media systems in the public sector domain of Mongolia. Research implications or Originality - This research proposed a new model to test citizens' intention to use social media as a communication tool to engage with public organizations in the pre-adoption stage of post-communist countries. Theoretically, this research builds up to the unique theoretical contribution with social media by examining a new social media-based third-party intercommunication medium, incorporating intent to utilize for citizens with government in post-communist countries. Practically, this article lays out the directions to aid social media usage for government sector with concerning citizens intentions in the post-communist situation.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.437-449
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• 2016

This study empirically analyzes casual relationships among psychological and financial factors influencing the subscription of individual pension and identifies mediation effect by the structural equation model. The analysis based on survey data (N=928) from common people living in the seven major cities in Korea shows that potential longevity, coping efficacy to the financial risks from longevity, subjective knowledge on longevity (cognitive factor), trust in insurers (social factor), and financial literacy(financial factor) are key players exercising direct influence over the subscription of individual pension. It also has been shown that affect on longevity, potential longevity, trust in government, and coping efficacy influence the emotions on longevity, fear and worry, and emotions on longevity are not significant in explaining the subscription of individual pension. Trust in insurers and financial knowledge of prospects have also been reaffirmed to be crucial factors in the activation of individual pension subscription.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.79-90
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• 2021

The purpose of this research is to identify factors affecting the acceptance and use of e-tax services among medium taxpayers in Phnom Penh, Cambodia. The researcher conducted the study based on a quantitative approach by using multi-stage sampling method, which selects a sample size by two or more stages. The first stage sampling was the stratified random sampling and the subsequent stage was purposive sampling. In this study, the stratified random sampling was first used, followed by purposive sampling. The data were collected from 450 medium taxpayers who experienced using e-tax services located in three tax branches in Phnom Penh. This study adapted the confirmatory factor analysis (CFA) and structural equation model (SEM) to analyze the model accuracy, reliability and influence of various variables. The primary result showed that behavioral intention has a significant effect on user behavior of e-tax services among medium taxpayers in Phnom Penh, Cambodia. Moreover, the results revealed that performance expectancy, effort expectancy, social influence, and anxiety have significant impact on behavioral intention. In addition, social influence has the strongest impact on behavioral intention, followed by anxiety, performance expectancy and effort expectancy. Conversely, facilitating conditions, trust in government, and trust in internet do not influence behavioral intention.

• Human Ecology Research
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• v.53 no.4
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• pp.341-350
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• 2015

This study explored the determinant variables influence of Chinese consumers' purchase intention towards products featured in Korean TV dramas vis-$\grave{a}$-vis product placement (PPL). We invited 248 Chinese adult consumers who had watched Korean TV dramas in last twelve months to participate in this survey. Data analyses were conducted by Cronbach's ${\alpha}$ reliability test, confirmatory factor analysis, t -test, analysis of variance and hierarchical multiple regression with SPSS ver. 21.0 and AMOS ver. 21.0. We chose PPL effects, product quality perceptions, and product trust as main independent variables. The empirical analysis results demonstrate that female (versus male) and frequency of (or longer time) watching dramas resulted in higher perceived consumer PPL effects, product quality, trust and purchase intention. The positive effects of the product quality and product trust on purchase intentions were confirmed. There are additional mediation effects of product quality perceptions and trust on the relationship between consumer demographic characteristics (gender), TV drama watching conditions (frequency and time) and purchase intention. This research can help Korean corporations produce effective advertising by indicating how PPL affects Chinese consumer consumption behavior. The results are useful for the Chinese government and consumer organizations to improve the domestic consumption environment by developing effective TV drama PPL policies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1257-1266
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• 2021

The study examines factors that influence shopping intention of online consumers in Vietnam. Studied factors include consumers' attitude, subjective norms, perception of behavioral control, perception of usefulness, perceived risks and trust. The expansion of Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) are used as basic theories. We have surveyed people who have experiences on online shopping. There are 836 selected questionnaires that are qualified for data processing. The collected data are analyzed through a process which starts from scale reliability test to exploratory factor analysis (EFA), correlation analysis and regression analysis. The results show that shopping intention of online consumers are positively affected by their attitude, subjective norms, perception of behavioral control, perception of usefulness and trust. In contrast, online shopping intention is negatively affected by the perceived risks that online shopping could bring. Among those factors, the perception of risk is shown to have the strongest influence to online shopping intention. The findings of this study suggest that managers and retailers can apply cash-on-delivery method and design their website with user-friendly interface to enhance online shopping intention of consumers. The Government is also recommended to fulfill the law system to reduce customers' perception of financial risks.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.75-95
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• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.105-115
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• 2018

With the development of information and communication technologies, popularization of smart phones, and relaxation of the government regulation, mobile easy payment service is rapidly growing as a major financial service. Therefore, this study examines factors that influence the intention to use mobile easy payment service through empirical analysis. We collected 386 responses by survey and formed structural equation modeling with AMOS 22.0. The results show that technical factors(relative advantage, security), individual factor(self-efficacy), situational factors(trust in prior services and satisfaction of prior services) had a positive effect on the perceived value. In addition, perceived value had a positive effect on the intention to use mobile easy payment services. Lastly, subjective norms are closely related to the relationship between perceived value and intention to use mobile easy payment services. The results can be expected to provide useful references to the Fintech related industry fields.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.23-35
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• 2020

Mobile Money is a key factor of financial inclusion that can revolutionize the financial service delivery and hence enhance access to finance in emerging economies, especially the East African countries. This study therefore aims to study the determinants of individual's behavioral intention and usage of Mobile Money services in Ethiopia by usiing the UTAUT2 model. The research model was tested by sampling 200 respondents from different areas of Ethiopia. The analysis results found that Government Support, Facilitating Conditions, Performance Expectancy, Trust and Effort Expectancy are the key factors that affect the usage of Mobile Money service, while Lower Transaction Cost factors and Social Influence were not statistically significant. The findings provide useful information that only government's active efforts and support to promote mobile money services, through appropriate policies and regulations rather than lower transaction cost, can facilitate the adoption and dissemination of such services in Ethiopia.