• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.24-40
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• 2023

Contemporary consumers' acceptance of second-hand products has been increasingly improving worldwide, especially in China. Based on the Extended Unified Theory of Acceptance and Use of Technology, we developed and empirically validated a research framework to predict consumers' motivation to use re-commerce platforms. We explored the diverse factors influencing mobile commerce usage through re-commerce platforms. Furthermore, this study investigated the role of gender differences as a factor moderating the association between several constructs and the intention to use re-commerce platforms. A total of 226 consumer responses were collected. The results indicated that hedonic motivation, performance expectancy, consumer habits, social influence, and price value affect consumers' attitudes toward re-commerce platforms. The effects of the attitude toward re-commerce platforms on the intention to use these platforms were also statistically significant. When effort expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, male consumers' attitude toward its usage, in particular, also increases. Meanwhile, when performance expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, the attitude toward its usage increases among female consumers. Moreover, our results indicate that the two gender groups present different characteristics regarding re-commerce platform usage. Therefore, this study offers a theoretical basis for future analyses of second-hand trade.

• Knowledge Management Research
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• v.16 no.4
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• pp.191-213
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• 2015

With the advancement of virtual reality technology, virtual reality contents and devices are being competitively released. This research deals with an early stage adoption model of a motion-sensing input device which enhances the user experience of these virtual reality contents and devices. In contrast to the previous research on the adoption or resistance of innovative products, this work compares and analyzes the antecedents in MIR(Model of Innovation Resistance) of resistance-perspective as well as those in UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and IDT(Innovation Diffusion Theory) of adoption-perspective, and suggests a resistance-incorporated adoption model from a new viewpoint. The analysis of questionnaire data indicates the following results: Performance expectancy, effort expectancy, price value, hedonic motivation in UTAUT2 and visibility in IDT have a significant negative influence on innovation resistance. Compatibility in IDT and MIR exerts a positive influence on perceived value. Social influence and hedonic motivation in UTAUT2 positively relates to perceived value. Higher innovation resistance results in lower perceived value, with innovation resistance and perceived value negatively and positively affecting intention to use, respectively.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.115-126
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• 2020

This study designed an extended technology acceptance model incorporating and combining TPB, TAM, UTAUT, and IDT, which are known to be useful in explaining technology acceptance intention, to analyze antecedents affecting smart farm acceptance intention from the perspective of policy handlers. In the model of this study, nine independent variables were set, including subjective norm, perceived behavioral control, attitude, perceived usefulness, performance expectation, effort expectation, social impact, promotion condition, and fitness. The effect of these variables on farm acceptance intention was analyzed. The study found that four factors, including perceived behavioral control, perceived usefulness, social impact, and fitness, had positive effects on the acceptance intention of smart farms. Of these, perceived usefulness had the highest impact. In conclusion, all the TPB, TAM, UTAUT, and IDT applied to the research hypothesis to explain the smart farm acceptance intention included on or more variables with significant effects. In other words, these theories were evaluated as useful to explain the acceptance intention of smart farms.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.463-483
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• 2014

Data are dramatically increased and big data technology is spotlighted innovative technology among the latest information technologies. Organizations are interested in adoption of big data system to analyze various data format and to identify new business opportunity. The purpose of this study is to build a unified model for a system adoption through analysis of impact that affects behavioral intention and usage behavior of using big data. This study in addition to Technology-Organization-Environment (TOE), that is used the introduction of organizational studies, and Diffusion of Innovation (DOI) have implemented an extended unified model including the unified theory of acceptance and use of technology (UTAUT) that is usually used in personal level adoption study. The hypothesis was set up after implementing research model, and then got 411 effective survey data to target the member of organizations. As a result, all models (UTAUT, TOE, DOI) are affect to behavioral intention and usage behavior. It is verified that the suggested unified model was appropriate.

• 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).

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.386-398
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• 2022

This study was conducted to corroborate the factors that influence consumer characteristics and technology acceptance on online luxury platforms, which are rapidly emerging as distribution channels for luxury brands. To this end, the relationship between the degree of technology acceptance and behavioral intention of fashion consumers on online luxury platforms and the effect on specific factors such as age and gender was investigated to see if there was a difference in behavior and use behavior. A survey was conducted on Korean consumers between the age of 20 and 40 who have used online luxury platforms and then, a statistical analysis was conducted. As a result of the study, performance expectancy and facilitating conditions, hedonic motivation, price value, and habit were found to have a significant effect on platform behavioral intention, but effort expectancy and social influence did not have a significant effect. Additionally, both facilitating conditions and habit were found to have a directly significant effect on the platform use behavior, and it was confirmed that the platform behavior intention also had a significant effect on the use behavior. As a result of confirming the moderating effect of gender and age, there was no difference based on gender, but only the relationship between price value and behavioral intention was found to have a moderating effect. It is hoped that domestic online luxury platforms will grow into channels with distinct characteristics and continue to develop in the luxury market by utilizing specific affect factors of this study.

• Journal of Distribution Science
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• v.19 no.9
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• pp.5-17
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• 2021

Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.291-303
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• 2023

The purpose of this study is to investigate the impact of technical acceptance factors of Chinese MZ generation consumers' use of online fashion platforms on behavioral intentions and usage behavior, and to determine whether satisfaction plays an additional role in the relationship between behavioral intentions and usage behavior. The research results can be summarized as follows. First, among the technology acceptance factors that influence Generation MZ consumers when they use online fashion platforms, it was found that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price value, habit, and content quality significantly influence the behavioral intention to use online fashion platforms. Second, the facilitating conditions and the platform usage intention of Chinese Generation MZ consumers directly and significantly influence the usage behavior on online fashion platforms. In contrast, it was confirmed that habit does not significantly influence actual usage behavior. Third, this study confirmed the moderating effect of satisfaction on the relationship between behavioral intention and usage behavior on online fashion platforms. This research, which proposes a research model explaining the usage intention and behavior of online fashion platforms based on UTAUT2, integrating not only the organizational aspect but also the consumer aspect to empirically verify the usage intention and the final usage behavior from the general consumer's perspective, has academic significance.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.2
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• pp.108-115
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• 2018

This study was undertaken to explore the determinants affecting behavioral intention to adopt airport self-service. Based on the theoretical model incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM), in this study, a revised and extended model was proposed in order to better explain Airport Self-service adoption. Moreover, the aim was to determine the mediating effect of hedonic motivation on Airport Self-service adoption. The proposed model was empirically tested using survey data provided by 323 respondents and was analyzed using a multiple regression analysis.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.1-36
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• 2021

Purpose - This empirical study, aims to identify the determinants of adoption and acceptance of mobile payment as to understand why it is successful in some countries in Sub-Saharan Africa but failing in others. A comparative study of a successful mobile payment service and a purported failed one was done as to have some insights to the factors affecting acceptance of the technology. Design/methodology/approach - The strength of three notable theories: theory of diffusion of innovation (DOI), the extended unified theory of user acceptance of information technology (UTAUT2) and self-efficacy theory were use. The self-efficacy of government support inclusion as, a moderating variable in the form of infrastructure, securing transaction and price value revealed the relevance of government in the success of mobile payment service. By means of a field survey of 705 subjects in two separate regions of Africa (East and West), the data was collected and use to test the research model. Findings - The study result shows the importance of the moderating factor of government support to the success of mobile payment of any nation. The result also shows the importance of the perception of relative advantage, compatibility, complexity, social influence as already revealed by other studies. Research implications or Originality - Mobile payment success in some part of Sub-Saharan Africa is well known but also suggested to fail in some Sub-Saharan African countries. Buttressing the need for understanding of the factors affecting mobile payment acceptance. This article empirically examined the factors influencing the success of mobile payment, and we implicated that if the implementation of mobile payment is to be successful for mobile commerce in any nation, adoption, acceptance and use by its citizen is imperative.