• Asian Journal of Business Environment
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• v.4 no.3
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• pp.19-25
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• 2014

Purpose - This study investigated not only social network service (SNS) characteristics' effects on continuous use intention and reliability, but also the effects of continuous use intention and reliability on purchase intention. Research design, data, and methodology - The subjects comprised 274 SNS users in their twenties. The research was conducted over three weeks from October 16, 2013 to November 6, 2013, using questionnaires. A total of 267 copies were collected; 255 copies were used after excluding unsuitable copies. Results - Marketers who used SNSs should establish a bi-directional community and SNS page information exchange. SNS marketers should exchange useful information quickly through SNS pages, to differentiate themselves from competitors. Enterprises should use SNSs for marketing, considering not only continuous use intention but also reliability, to elevate product purchase intention. Conclusions - The study had limitations. Most subjects were students aged 24 to 28 years; the findings cannot be generalized. Second, personal computers (PCs) and smartphones had similar influence. Third, the preferences and/or characteristics of each SNS type were not reflected in marketing.

• Asia Marketing Journal
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• v.12 no.3
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• pp.1-24
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• 2010

Typically, marketing literature on innovation diffusion has focused on the pre-adoption process and only a few studies explicitly examined consumers' post-adoption behavior of innovative mobile services. Besides, prior use diffusion research has considered the variables that determine the consumers' initial adoption in explaining the post adoption usage behavior. However, behavioral sciences and individual psychology suggest that social influences are a potentially important determinant of usage behavior as well. The purpose of this study is to investigate into the effects of network factor and brand identification as social influences on the consumers' use diffusion or continued usage intention of a mobile service. Network factor designates consumer perception of the usefulness of a network, which embraces the concept of network externality and that of critical mass. Brand identification captures distinct aspects of social influence on technology acceptance that is not captured by subjective norm in situations where the technology use is voluntary. Additionally, this study explores the effect of the use diffusion on the brand switching intention, a generally unexplored form of post-adoption behavior. There are only a few empirical studies in the literature addressing the issue of IT user switching. In this study, the use diffusion comprises of rate of use and variety of use. The research hypotheses are as follows; H1. Network factor will have a positive influence on the rate of use of mobile services. H2. Network factor will have a positive influence on variety of use of mobile services. H3. Network factor will have a positive influence on continued usage intention. H4. Brand identification will have a positive influence on the rate of use. H5. Brand identification will have a positive influence on variety of use. H6. Brand identification will have a positive influence on continued usage intention. H7. Rate of use of mobile services are positively related to continued usage intention. H8. Variety of Use of mobile services are positively related to continued usage intention. H9. Rate of use of mobile services are negatively related to brand switching intention. H10. Variety of Use of mobile services are negatively related to brand switching intention. With the assistance of a marketing service company, a total of 1023 questionnaires from an online survey were collected. The survey was conducted only on those who have received or given a mobile service called "Gifticon". Those who answered insincerely were excluded from the analysis, so we had 936 observations available for a further stage of data analysis. We used structural equation modeling and overall fit was good enough (CFI=0.933, TLI=0.903, RMSEA=0.081). The results show that network factor and brand identification significantly increase the rate of use. But only brand identification increases variety of use. Also, network factor, brand identification and the use diffusion are positively related to continued usage intention. But the hypotheses that the use diffusion are positively related to brand switching intention were rejected. This result implies that continued usage intention cannot guarantee reducing brand switching intention.

• The Journal of Economics, Marketing and Management
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• v.10 no.4
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• pp.25-34
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• 2022

Purpose: Technology and innovation drive new mobile application for ojek online. Using the theory of technology acceptance model and perceived risk theory, the researcher wants to find how these factors affect user's intention to use GO-FOOD that leads to technology adoption. Research design, data and methodology: The researcher uses GO-FOOD users that located in East Java, Indonesia for the object of study. Results: The findings of the research discovered that perceive usefulness and perceive ease of use do not significantly affect user's behavioral intention while perceive risk is significantly affecting the user's behavioral intention. Conclusions: The findings suggested that GO-FOOD or similar application should focus more on reducing or eliminating user's perception of risk towards the mobile application

• Journal of Distribution Science
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• v.20 no.10
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• pp.105-117
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• 2022

Purpose: The digital healthcare business is rapidly growing due to the COVID-19 pandemic, and the medical service platform business based on smartphone apps is globally expanding. This study targeted medical information online to offline (O2O) platform users in the medical service field. It verified the effect relationship revealed in the continuous use intention of the platform with the mediation of platform quality components, namely perceived benefits, flow experience, and use satisfaction. Research design, data and methodology: Based on previous studies, three medical information O2O platform quality components, namely system quality, information quality, and service quality, were defined. And the questionnaire survey was carried out targeting 359 leading medical information O2O platform users in Korea. Results: As a result of the analysis, it was confirmed that system quality and service quality had a positive (+) effect on satisfaction and continuous use intention with the mediation of perceived benefits and flow experience. Meanwhile, information quality had a negative effect (-) on perceived benefits and flow experience and did not affect use satisfaction and continuous use intention. Conclusions: Consequently, it was ascertained that the system quality and service quality affecting user behavior and experience were more significant factors than information quality to medical information O2O platform users from the medical service aspect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.628-635
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• 2012

The market of smartphone applications grows rapidly. We studied to evaluate empirically how personality variables related to personal attitudes(innovativeness and affinity) and information quality(interaction, content, and contextual) can affect use intention and customer loyalty in smartphone applications. The results of the study are as follows: Innovativeness, content quality and contextual quality were found to have a positive effect on intentions to use smartphone applications. However affinity and interactivity were found to have a negative effect on use intention. And use intention was found to have negative effect on customer loyalty for smartphone applications.

• Journal of Distribution Science
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• v.18 no.6
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• pp.83-91
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• 2020

Purpose: Research on the behavior of using digital banking services plays an important role for banks in the context of increasingly competitive banks, not only for domestic banks but also for foreign banks. Along with the development of science and technology brings new approaches to banking industry, digital banking increases the effectiveness of banking activities. Besides, information safety brings different feeling about digital banking system. Therefore, this research evaluates the relationship between Information safety and Intention to use banking services in Vietnam. Research design, data and methodology: With 329 Vietnamese customers using digital banking, reliability test, and structural equation model (SEM) analysis method. Results: the research shows that information safety has directly effects on perceived ease of use (PU), perceived risk (RIS) of customers to digital banking services. Perceived trust (TRU) has a negative impact on RIS. Perceived of usefulness (PEU) has a positive impact on attitude towards service (ATT), and RIS has a negative impact on ATT. RIS, PEU, ATT, convenience and enterprise image have positive effects on intention to use digital banking service. Conclusions: From the research results, the authors also propose some recommendations to enhance the intention to use digital banking services in Vietnam.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.43-52
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• 2018

Purpose - The purpose of this article is to examine the effects of perceived value, satisfaction, and continued use intention of e-service Quality of taxi-booking apps. Research design, data, and methodology - The questionnaire was created to examine every relevant variables to practical and theoretical implications. The pilot survey was conducted for 15 days from April 7^th to April 21^st in 2016. Their total numbers were 354 surveys. But 330 copies were used for the analysis except 24 of them. To make a more effective analysis, several analysis tools and analysis programmes were used, such as IBM SPSS and AMOS. Results - The results are as follows. First, all variables of e-service quality except safety make influences on perceived value. Second, e-service quality except safety makes influences on satisfaction. Third, perceived value makes influence on satisfaction and on intention of continued use. Fourth, satisfaction makes influence on intention of continued use. Conclusions - First, 5 variables are very limited. more valuable variables are need to test with this model. Second, this study was conducted only in China. So there may be possible to the representatives. To use this model for better analysis and application abroad, more characteristics and strategic factors should be considered like the local culture of a particular country, attributes for different environment etc.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.41-57
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• 2008

The development of service-based software and web-based application aims for providing user-demand service. On-demand software is emerging for same reason. Software delivery models like on-demand software is expected to change the software industry as an important technical revolution with the firm's strategy. Few research, however, has been done on the on-demand software. While much research on ASP and SaaS focused on firm' use, this study intends to examine the intention of using on-demand software targeting personal user. The intention to use of on-demand software was empirically examined in terms of quality, user characteristics, usefulness, easy of use, and security. Results shows that usefulness and easy of use are most significantly related to the intention of using on-demand software. Other factors are also found to affect the intention to use of on-demand software. This study contributes to improve the understanding and interest in on-demand software and it is expected to spread widely for individual user.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.101-112
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• 2017

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.

• Knowledge Management Research
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• v.20 no.4
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• pp.99-118
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• 2019

Online financial counseling services are increasingly expanding with the rise of artificial intelligence-based chatbots. It is very important to examine the effects of emoticons noted as alternatives for communicating emotions in online communication between consumers and companies. In this paper, we examine how the use of emoticons affects the consumer's response and investigate the moderating roles of type of counseling agents (human vs. chatbot) and the consumer's subjective financial knowledge. The results show that the use of emoticon in the conversation brings a positive effect on the consumer's intention to use of online chat counseling service. When participants had relatively low subjective financial knowledge, they had higher intention to use online chat counseling services with emoticons only when the agent type was chatbot. When the type of counseling agent was human, this positive effect of the emoticon did not occur. On the other hand, when participants had relatively high subjective financial knowledge, they had higher intention to use online chat counseling service with emoticons only when the agent type was human. This study contributes to providing practical implications to build online chat counseling service using chatbot in the financial industry by studying users' intention depending on the type of agents and the level of their subjective knowledge.