• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.997-1007
• /
• 2021

The last decade has seen the emergence of the idea of "sharing economy" as people are more aware of environmental issues. Although clothing businesses applying the model of sharing consumption have emerged recently, less research effort has been invested in this topic, especially in investigating young consumers' intention. The purpose of this study is to investigate factors driving Generation Z consumers' behavioral intention toward online fashion rental. In this research, a conceptual framework is proposed based on the Theory of Planned Behavior and Technology Acceptance Model. To test the research model and hypotheses, a survey of 375 students and pupils was conducted in Vietnam. All the scales' reliability and validity were assessed through Cronbach's Alpha and confirmatory factor analysis. Structural equation modeling was used to assess the relationship among constructs. The study results showed that attitude toward behavior, subjective norm and perceived behavioral control were positive contributors to Gen Z's intention to use online fashion rental. Besides, the positive relationships between attitude and two other factors - perceived usefulness and perceived ease of use - were also highlighted. Moreover, the findings provided empirical evidence for supporting the positive impact of interpersonal influence, e-WOM, and influencer e-marketing on subjective norm.

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

• Journal of Information Technology Applications and Management
• /
• v.28 no.6
• /
• pp.23-43
• /
• 2021

This research is a study on smart homes products, which interest and research are being conducted, because of the recent development of the Internet of Things. Consumer's Purchase intention was set as a dependent variable, and technological trust was used as a mediating variable. We used Technology Acceptance Model as background theory. Perceived ease of use, Perceived usefulness, Security, and Brand were set as independent variables. The results of this study are as follows. First, it was found that perceived ease of use, perceived usefulness, and security significantly affected technological trust that consumers feel. Second, technological trust also had a significant effect on purchase intention, and it was found that perceived ease of use, perceived usefulness, and product security, excluding brands, had an indirect mediating effect on consumers' purchase intention through technological trust. This study is meaningful in that by conducting user-centered research, and results that are partially contrasted with existing studies are derived from increasing the interest of factors we used.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.1
• /
• pp.43-51
• /
• 2022

Platform lending or online lending, sometimes called peer-to-peer (P2P) lending, arose due to the digital revolution to meet people's requirements for simple fund borrowing. It quickly became an alternative to other traditional lending techniques, for example, loans banks. Along with the growth of P2P lending, several academics have investigated how information technology is used in financial services, emphasizing extended application methods. This study proposes an enhanced technology acceptance model (TAM) that investigates how consumers embrace P2P lending platforms by using quality of service and perceived risk as drivers of trust, relative advantage and compatibility as drivers of perceived usefulness. For the purpose of this study, we created a questionnaire, distributed it to clients of P2P lending platforms and fintech services in general in cities in Java, Indonesia. We received 290 replies to our questionnaire. The data was analyzed to test the hypotheses using structural equation modeling (SEM). The findings show that consumers' trust, relative advantage, perceived usefulness, and perceived ease of use in P2P lending platforms substantially affect their views toward adoption. The research's findings are useful for fine-tuning platform marketing strategies and putting strategic goals into action.

• Fashion & Textile Research Journal
• /
• v.25 no.3
• /
• pp.304-314
• /
• 2023

The rapid development of digital technology is diversifying the fashion industry by influencing both the manufacturing processes and the characteristics of fashion products. Although various smart clothing technologies are being developed as part of the government's technology development policy, the number of smart clothing products available to consumers in stores remains very limited. To address this issue, this study analyzes the key attributes of smart clothing as expressed in consumer language. The CIT (Critical Incident Technique) research method was used, and data were collected through an online survey. The study focuses on identifying potential factors that may influence the development direction or strategy of smart clothing. By classifying past experiences and attitudes towards smart clothing into positive and negative categories, it was found that positive responses to smart clothing were heavily influenced by expectations from technology and convenience. Participants' experience with smart technology has had a positive impact on their evaluation of smart clothing. Consumers with negative attitudes towards smart clothing expressed expectations for new benefits resulting from technological development, and indicated that they would consider purchasing such clothing in the future when design and technology improve. Ultimately, this study provides a valuable reference for the development of smart clothing products in Korea by analyzing consumer experiences and acceptance conditions towards smart clothing.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.1
• /
• pp.219-226
• /
• 2012

A study herein is carried out for acceptance procedure of innovative products in the aspect which usage intention is formed by usefulness expectation and rejection factors for innovative products during acceptance procedure of users when information technology innovative products are launched in the market. Empirical study was carried out for non-smart phone users within mobile phone users. As a result of study, firstly, usefulness expectation of users for information technology innovative products is positively (+) affecting to usage intention, while usefulness expectation was shown to be negatively (-) affecting to rejection. Secondly, social factors were found which positively (+) affect to usefulness expectation for innovative products, and satisfaction for conventional products negatively (-) affects to usefulness expectation. Thirdly, there were satisfaction and consuming effort for conventional products from consumers for the factors which affects to innovative products rejection of consumers. Based on the result of study herein, there is a specific strategy needed for information technology innovative products although consumers have expectation usefulness for the products as well as rejection which brings out to remove the intention to use the products.

• Environmental and Resource Economics Review
• /
• v.31 no.1
• /
• pp.1-30
• /
• 2022

This study is to investigate consumers' acceptance and their willingness to pay for clothes made of materials with low microplastic emissions as an alternative to synthetic fibers made of plastics by applying the contingent valuation method. A nationwide web-based survey was conducted for 1,052 respondents proportional to region, age, and gender during February 2021. More than 75% of the sample expressed intentions to purchase microplastic emission-reducing clothing instead of synthetic fiber clothing, and more than 80% of them have stated their willingness to pay for additional prices. A variation of Heckman's sample selection model was adopted to estimate factors affecting respondents' intentions to pay for additional prices, in which the probit model of intentions to purchase the clothing with alternative materials was used as a sample selection equation. While respondents were sensitive to the amounts of price increases suggested in the CV scenario, they expressed high acceptance and preferences for eco-friendly materials regardless of the microplastic emission-reducing levels. Consumers in the circular economy were willing to pay for the range of 41,000 to 51,000 won for a pair of clothing made with microplastic emission-reducing materials. In addition, as the microplastic emission-reducing rate has increased from 50% to 80%, the willingness to pay estimates were also significantly increased, ranging from 41,000~50,500 to 42,000~51,700 won.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.11
• /
• pp.7494-7500
• /
• 2015

The purpose of this study is to investigate how the customer's attitudes and behavioral responses, depending on the persuasion tactics of salespeople in customer service and meeting point. The tactics of persuasion of customer acceptance and purchase depending on the type of salesperson with proven effectiveness of even comes out to investigate what results according to the purchase form and the customer that the customer consumes gender. Results First, the tactics of persuasion tactics of coercive tactics to mention the loss of a salesman showed that increasing the degree of acceptance than non-coercive tactics to help consumers buy the information provided above. Second, coercive tactics to adjust the effect with respect to the degree of acceptance of the purchase of helping consumers to purchase in the online form has been proven to be more effective than non-coercive tactics case. Third, adjusted for gender effects were proven to help women with respect to the degree of acceptance of a consumer purchases more effective than men. That is, in consumer contacts, the persuasion tactics of salespeople depending on the customer's acceptance and purchasing intention showed that coercive tactics has the more positive impact on online forms and women.

• Journal of Korea Technology Innovation Society
• /
• v.13 no.1
• /
• pp.204-230
• /
• 2010

The accelerating growth in Technology-Based Self-Service (TBSS) today is giving rise to questions about the acceptance of such forms of service delivery by all kinds of consumers. Using the Technology Acceptance Model (TAM) and TBSS quality evaluation model as a theoretical framework, this study investigates the effects of perceived usefulness, perceived easy of use, enjoyment of users acceptance of TBSS and self-monitoring as a individual variable. The results lend support to the hypothesist. Implications for service practitioners as well as directions for future research are discussed.

• Fashion & Textile Research Journal
• /
• v.18 no.1
• /
• pp.38-47
• /
• 2016

This research analyzes the influence of mobile commerce characteristics on consumer's purchase intention using a theoretical Technology Acceptance Model (TAM) constructed on previous studies and a review of the literature to explain the effect of mobile fashion shopping characteristics on consumer's purchase intention. In constructing structural equation model, Mobile commerce characteristics variables such as 'security', 'enjoyment', and 'personalization' were selected as external variables affecting TAM. A questionnaire was distributed to consumers in their 20's-30's who had purchased fashion products using a mobile shopping channel. Statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using Amos 19.0 package were employed for the analysis of 453 effective data responses. The results were as follows. First, extended TAM was shown be the appropriate model to explain the influence of mobile commerce characteristics on consumer's purchase intention in mobile fashion shopping. Second, 'security' had a significant positive influence on perceived usefulness (PU), however it affected perceived ease of use (PEOU) negatively. Third, 'enjoyment' had a significant influence only on PEOU, while 'personalization' was found to affect both PEOU and PU significantly. Fourth, PEOU affected PU significantly. Finally, both PEOU and PU had a significant influence on consumer's purchase intention.