• Journal of Information Technology Applications and Management
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• v.16 no.2
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• pp.65-77
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• 2009

This study explores the major factors that are likely to affect the acceptance and resistance of innovative products and services. The TAM (Technology Acceptance Model) has been widely used for understanding consumer acceptance of new technology. This model displays perceived usefulness and perceived ease of use as antecedents of intention to adopt and use. However, research has reported a variety of preceding variables for technology acceptance. In addition, considering paradoxes of technology, research regarding both acceptance and resistance in an integrated model can explain consumer perception and behavior in detail. The results of this study states that relative benefits, degree of innovation in technology, perceived usefulness and perceived ease of use have had positive influence on the intention to adopt but negative impact on that of resistance. However, alterations of usage and perceived risk positively affects resistance, but also have negative effects on the intention to adopt. Finally, intention to adopt has comparatively greater influence than that of resistance on intention to use. Theoretical and managerial implications of the results are also discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1554-1561
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• 2004

In the U.S., outdoor enthusiasts such as golfers have been focused on skin cancer prevention practices since their outdoor activities lead to extensive sun exposure during peak sun hours. The purposes of this study were to investigate golfers current sun protection behaviors and five attributes and their impacts on the intention to adopt UV specialized clothing based on Rogers' theory. UV specialized clothing as a preventive innovation is related to sun protection behaviors. However, there has been little effort to explain the intention to adopt a preventive innovation regarding health-related practices. With a convenience sampling method, a total of 158 useful questionnaires were collected. Ninety one percent were male golfers, and their age ranged from 16 to 80 years old(mean age=30 years). About $25\%$ reported to practice sun protection behaviors. About $70\%$ disagreed on the relative advantage, compatibility, observability, and triability of UV specialized shirts and reported the low intention to purchase it. Current sun protection behaviors and five attribute variables were entered in the multiple regression equation to explain the dependent variable of intention to adopt the innovation. Triability was the best predictor of the intention to adopt UV specialized shirts, followed by current sun protection behaviors, compatibility, and relative advantage. With four predictors, $45\%$ of the variance of intention to adopt was explained. The present study provides how the golfers current sun protection behaviors play important roles in explaining the intention to adopt the preventive innovation. Physical and functional features of UV specialized clothing were also significantly associated with their intentions to adopt it.

• Journal of Fashion Business
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• v.19 no.2
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• pp.69-84
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• 2015

The objective of this study is to investigate the intention to adopt smart wear, based on extended UTAUT model. We examined the effects of performance expectancy (PE), effort expectancy (EE), hedonic motivation (HE), social influence (SI), facilitating conditions (FC), and price value (PV) on the intended adoption of smart watch and smart shoes, respectively. In addition, moderating effects of gender, age, and innovation resistance were examined. An online survey was conducted, comprised of 2030 consumers who were aware of smart watch or smart shoes. In total, 393 responses were analyzed. About 50.4% were male, and 44.8% were in their 20's. An exploratory factor analysis generated five factors - PE & HM, EE, SI, FC, and PV- which were employed as independent variables in the multiple regression models. PE & HM, PV, and SI influenced on the intention to use both smart devices. FC showed the significant effect only on the intention to adopt the smart watch. In terms of gender differences, SI and PV were the important predictors of the intention to adopt the smart watch in the female group only. With respect to age difference, SI was very effective in explaining the intention of individuals in their 30's to adopt smart wear. Among the low innovation resistance group, SI was significant predictor, while PE & HE and PV were significant among the high resistance group. The findings provide useful information about the possibility of the adoption of smart wear, and new insight into market segmentation.

• Journal of Distribution Research
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• v.9 no.2
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• pp.1-27
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• 2004

This paper investigates the determinants which influence the intention to adopt the Internet shopping mall in the form of a new B2C by off-line manufacturers or service providers in their design of a channel. The current study purports to provide managerial suggestions for a firm that sets up channel design strategies, with the Internet channel considered. Research findings are as follows: First, the intention to adopt the Internet shopping mall increases as a firm's relative benefits are perceived higher; second, as organizational readiness increases, the intention to adopt the Internet shopping mall increases; third, the intention to adopt the Internet shopping mall decreases as the level of perceived barriers on the Internet increases, and fourth, as the level of perceived social/organizational pressures is higher, the intention to adopt the Internet shopping mall increases. In addition, this paper presents theoretical and practical Implications, given the limits of the current study.

• Journal of the Korean Society for Railway
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• v.15 no.2
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• pp.205-215
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• 2012

The purpose of this research is to identify the factors affecting the intention to adopt a transcontinental railway in Korea. We develop an empirically testable model that demonstrates the effects of factors including cost, service, and efficiency of railway transportation, on modal shift intention to railway, attitude of a Railway, and intention to adopt a Transcontinental Railway (KTAR) as a railway transportation mode in the end. A survey method enables us to analyze the model with a structural equation modeling. The empirical analysis reveals that two most influential factors-the modal shift to railway transportation and the attitude of a Railway-play roles in determining intention to adopt the Transcontinental Railway (KTAR). Of the factors of transportation mode, transportation cost has a greater impact than transportation service and transportation efficiency on the intention to adopt a Transcontinental Railway (KTAR).

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.189-199
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• 2019

The objectives of this study are to propose the Integrated Waqf Environmental Protection Model (IWEP) and investigate the farmers' intention to adopt it. In developing the IWEP model and investigating farmers' willingness to adopt it, this study surveyed 400 farmers in Kedah. The intention of the farmers to adopt the proposed model was analysed by adding perceived barriers and socio-economic variables into the theory of reasoned action (TRA) model. The collected data were processed using structural equation modelling (SEM). The SEM results show that the subjective norm is positive and has a significant impact on the intentions of low-income farmers to accept the IWEP model. This indicates that the decision of the low-income farmers to accept the IWEP model is significantly influenced by their family members, neighbours and friends. Furthermore, awareness and perceived barriers have a greater impact on the elderly, highly educated and wealthy farmers. The findings indicate that the elderly, highly educated and wealthy farmers are aware of climate change and they perceive higher risks or barriers to climate change. As a result, they are more likely to have an adaptation intention. If we encourage people to create waqf fund, we can increase the value of the farmer and the country's total GDP.

• Journal of Distribution Science
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• v.18 no.10
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• pp.89-99
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• 2020

Purpose: There has been a growing focus on E-wallet adoption especially in emerging markets as it offers a convenient method for users to conduct cashless transactions. This study examines antecedents influencing the decision of Generation Z to adopt E-wallet. It looks into the effect of determining factors including compatibility, perceived convenience, perceived trust, perceived reputation, perceived usefulness, perceived ease of use and social influence on users' intention to use. The moderator role of social influence is also under examination. Research design, data and methodology: The quantitative method has been adopted to collect data from 170 Generation Z users. SmartPLS 3.0 was applied to examine the constructed hypotheses. Results: The results indicate an indirect effect between Compatibility, Perceived Ease of Use, Perceived Trust and Social Influence toward intention to adopt Electronic wallet, or both of those factors are mediated by Perceived Convenience, Perceived Usefulness, and Reputation. Moreover, research finding highlights the role of Perceived Usefulness as Generation Z's intention determinant to use E-Wallet. Conclusions: This study is substantial as it selected the promising customer segment - Generation Z to examine the factors influencing their decision to adopt Electronic wallet. Marketers can navigate which dimensions should be included in marketing campaigns to encourage Generation Z's adoption.

• Journal of Navigation and Port Research
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• v.46 no.2
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• pp.134-144
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• 2022

The development and operation of autonomous ships are spotlighted as a next-generation technology that will provide newbenefits for the maritime business during the fourth industrial revolution. To expand the adoption of autonomous ships, the much more interest of the nation and the industries will have to be changed to actual adoption in shipping companies. For this, it is judged that research to identify the factors impacting the adoption intention of autonomous ships should be preceded. However, most studies on autonomous ships have focused on developing the technology, revising the law, establishing policies, and managing human resources, with few studies on influencing factors in the adoption of autonomous ships. A model, to identify the factors that impact the intention to the adoption of autonomous ships, based on the theory of diffusion of innovation and the TOE framework was developed. The suggested model was verified through empirical analysis targeting the shipping companies and the marine industries in Korea. As the result of this study, it was found that top management support, financial slack, and competitive intensity significantly impacted the intention to adopt autonomous ships. Additionally, it was revealed that the overall awareness of autonomous ships among Korean shipping companies is poor.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.7-15
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• 2013

As the consumers' anxiety for food increases, the interest in food safety also increases. To satisfy the public requirement on food safety, the government is trying to set up a food safety standard by using regulations and certification systems. However, there is still difficulty in building up complex traceability systems for medicinal crops including ginseng due to the low participation of farming industries. The purpose of this empirical research is to draw factors that impede the GAP adoption of ginseng farms. By comparing the average attitude and intention to adopt the ginseng farms' depending on its characteristics through a two-tailed test, it was drawn that continuous farming education can positively influence the GAP adoption of the ginseng farms.

• Knowledge Management Research
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• v.19 no.4
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• pp.99-118
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• 2018

Recently, individuals are interested in a variety of products and services based on artificial intelligence. Among those products and services, an intelligent personal assistants are attracting many attention from IT companies as a next generation platform. Thus, the main purpose of this study is to investigate effects of intelligent personal assistant's benefits on user's value formation and adoption behavior based on Value-based Adoption Model. In addition, the moderating effect of personal innovativeness is examined through empirical analysis. Based on the analysis with the data from actual users, the results show that usefulness, enjoyment, technicality and cost advantage have significant influences on perceived value and correspondingly have an effect on intention to adopt. Personal innovativeness is related to the relationship between perceived value and intention to adopt. These findings may provide important insights to the relevant field regarding the use and spread of intelligent personal assistants.