• Korea Journal of Hospital Management
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• v.15 no.4
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• pp.143-164
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• 2010

Although word-of-mouth (WOM) has been regarded as one of the very important topics in consumer research, its effects on other aspects of consumer behavior have been scarcely investigated in the context of health-care service industry. The WOM literature also suggests that it is essential for medical care service organizations in fierce competition to adopt WOM communication as a competitive weapon so as to be able to stay ahead of competition. The goal of this research was set to empirically study various relationships between antecedent variables, WOM acceptance, and purchase of medical care services. Specifically, drawing on the WOM literature, eight antecedents to WOM acceptance were selected first. Based on the relevant literature, seven sets of hypotheses on the relationships among antecedents to WOM, WOM acceptance, purchase intention and purchase of medical services were developed. Data were collected via an on-line survey. A total of 571 out of 600 responses turned out to be usable. The major findings of this study can be summarized as follows: First, 6 out of 8 antecedent variables to WOM acceptance were found to be positively affect WOM acceptance. However, the effects of (1) "newness of technology" pertaining to medical care service characteristics and (2) "involvement in health", one of receiver characteristics, were found to be insignificant. Second, most moderating effects on the relationship between purchase and purchase intention of medical care services were found to be insignificant with one exception. That is, elapse of time was found to be a marginally significant moderator on the relationship between purchase and purchase intention of medical care services. Third, it was found that the higher the WOM acceptance, the higher the purchase intention of medical care services. Finally, the effect of WOM acceptance was found to be particularly strong when WOM contents were perceived as useful and positive. Overall, it seems essential for hospitals to actively adopt WOM communication as a competitive marketing tool if they plan to improve their business performance. In this respect, the current study may serve to improve the business performance of hospitals by way of providing theoretical and empirical evidence on the effects of WOM communication variables on WOM acceptance and medical care service purchase.

• International Commerce and Information Review
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• v.16 no.3
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• pp.25-50
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• 2014

This study is to identify the factors and explore the moderating effects of gender in influencing customer behavioral intention to adopt mobile commerce in Shanghai and Guangzhou in China. An extended study based on TRA, TPB and TAM, UTAUT, technology adoption model is applied for designing on this study model of behavioral intention to adopt mobile commerce focused on emotional variables and cross-gender differences. The results of analysis reveal that the effects of perceived risk, personal innovativeness, individual familarity and social influence on behavioral intentions to adopt mobile commerce as well as to differ across gender. Differences cross gender is specially the perceived risk and social influence. Findings imply that mobile commerce operators need to be communicated to female consumers, the risk-free quality including security, payment and certification system along with the social influence of using mobile commerce. When targeting female consumers in China, the word of mouth marketing strategic approach and improvement of communications of mobile commerce should be focused.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1058-1092
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• 2023

This study investigates the perception and adoption of ChatGPT (a large language model (LLM)-based chatbot created by OpenAI) among Korean users and assesses its potential as the next disruptive innovation. Drawing on previous literature, the study proposes perceived intelligence and perceived anthropomorphism as key differentiating factors of ChatGPT from earlier AI-based chatbots. Four individual motives (i.e., perceived usefulness, ease of use, enjoyment, and trust) and two societal motives (social influence and AI anxiety) were identified as antecedents of ChatGPT acceptance. A survey was conducted within two Korean online communities related to artificial intelligence, the findings of which confirm that ChatGPT is being used for both utilitarian and hedonic purposes, and that perceived usefulness and enjoyment positively impact the behavioral intention to adopt the chatbot. However, unlike prior expectations, perceived ease-of-use was not shown to exert significant influence on behavioral intention. Moreover, trust was not found to be a significant influencer to behavioral intention, and while social influence played a substantial role in adoption intention and perceived usefulness, AI anxiety did not show a significant effect. The study confirmed that perceived intelligence and perceived anthropomorphism are constructs that influence the individual factors that influence behavioral intention to adopt and highlights the need for future research to deconstruct and explore the factors that make ChatGPT "enjoyable" and "easy to use" and to better understand its potential as a disruptive technology. Service developers and LLM providers are advised to design user-centric applications, focus on user-friendliness, acknowledge that building trust takes time, and recognize the role of social influence in adoption.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.60-76
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• 2024

Broadband Internet has proven to be vital for economic growth in developed countries. Developing countries have implemented several initiatives to increase their broadband access. However, its full potential can only be realized through adoption and use. With lower-middle-income countries accounting for the majority of the world's unconnected population, this study employs the theory of planned behavior (TPB) to investigate users' intentions to adopt broadband. Rural Tanzania was chosen as a case study. A cross-sectional study was conducted over three weeks, using 155 people from seven villages with the lowest broadband adoption rates. Non-probability voluntary response sampling was used to recruit the participants. Using the TPB constructs: attitude toward behavior (ATB), subjective norms (SN), and perceived behavioral control (PBC), ordinal regression analysis was employed to predict intention. Descriptive statistical analysis yielded mean scores (standard deviation) as 3.59 (0.46) for ATB, 3.34 (0.40) for SN, 3.75 (0.29) for PBC, and 4.12 (0.66) for intention. The model adequately described the data based on a comparison of the model with predictors and the null model, which revealed a substantial improvement in fit (p<0.05). Moreover, the predictors accounted for 50.3% of the variation in the intention to use broadband Internet, demonstrating the predictive power of the TPB constructs. Furthermore, the TPB constructs were all significant positive predictors of intention: ATB (β=1.938, p<0.05), SN (β=2.144, p<0.05), and PBC (β=1.437, p=0.013). The findings of this study provide insight into how behavioral factors influence the likelihood of individuals adopting broadband Internet and could guide interventions through policies meant to promote broadband adoption.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.318-341
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• 2023

Mobile TV refers to the service that provides live broadcasting and video-on-demand content through a mobile device. In addition to the advertisement as the early-stage revenue model, the paid subscription model has emerged as a more sustainable revenue source for mobile TV services. In this study, with the surveys of 450 free mobile TV users, we examine the motivational factors influencing their intention to adopt a paid subscription model. Results show that three extrinsic motivations, price fairness, subjective norm, and mobile TV utilization, are positively associated with free users' paid subscription intention. In contrast, intrinsic motivations, such as hedonic need, spatiotemporal convenience, and self-efficacy, have no significant influence on the intention. We also found that the expected value is positively associated with attitude toward mobile TV service, also positively influencing the paid subscription intention.

• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.231-239
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• 2020

Cryptocurrency, represented by Bitcoin, initially received little public attention, but recently raised global cryptocurrency investments with recognition of future value. The academic interest in cryptocurrency lies elsewhere. This is because the future value of cryptocurrency is likely to be highly applicable to the technology underlying cryptocurrency. The technology is the blockchain. The purpose of this study is to find out what factors influence logistics companies to adopt blockchain technology. Based on the TOE frame, this study presented expected profit, organizational readiness, technology compatibility, and competitive pressure as factors of adoption of blockchain technology. And the effects of these factors on the adoption intention of logistics companies were analyzed empirically. A survey was conducted on Korean logistics companies. Analysis of the collected data showed that expected profit, organizational readiness, technology compatibility, and competitive pressures influence the intention to adopt blockchain technology. Among them, however, expected profit and organizational readiness were found to have the greatest influence on adoption intention.

• The Journal of Information Systems
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• v.22 no.4
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• pp.1-22
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• 2013

Government initiatives are continuously being invested to nurture supporting business environment for small and medium sized enterprises (SMEs), such as government-support ERP systems project for SMEs. As such, scholars need to pay attention to SMEs can successfully adopt and manage government-support ERP systems. This study, therefore, conceptually developed and tested a research model for understanding what factors influence SMEs' intention to adopt government-support ERP systems. We obtained thirty samples from SMEs, which is organizational level, and data were analyzed using the partial least square (PLS) technique. The results of data analysis found that institutional pressure and resource dependence had positive effects on the adoption of government-support ERP systems. On the other hand, risk aversion of SMEs was found to have negative effects to adopt government-support ERP systems.

• International Journal of Contents
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• v.14 no.3
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• pp.32-38
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• 2018

This study examined the factors influencing the intention to use smartwatches using the integrated model of technology acceptance model (TAM) and innovation diffusion theory (IDT). An online survey was conducted and the data were analyzed using the structural equation modeling (SEM). The results showed that the research model had an acceptable fit, and all paths, except for the one from the perceived ease of use to the intention to use, were supported. Regarding paths from IDT to TAM, it was observed that higher the compatibility, the users perceived greater usefulness. Additionally, both observability and trialability influenced the perceived ease of use. However, perceived ease of use affected the intention only through the mediated effect of perceived usefulness. The implication of the study lies on the major focus on the effects of users' perceptions regarding innovative characteristics of smartwatches on the intention to adopt and attempted to increase the explanatory power of the TAM and IDT by combining both.

• The Journal of Information Systems
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• v.16 no.2
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• pp.69-91
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• 2007

The mobile computing environment has already matured and mobile services are activated throughout many industries. In the following years, these changes are expected to evolve into a ubiquitous computing environment. In the meantime, whether newly developed information technologies will thrive or diminished depends on user's intention to adopt them. Hence, the necessity of user-centered research considering ubiquitous computing in mobile computing environment is obvious. This study, thus, investigated ubiquitous factors in various literature related to ubiquitous computing and technology acceptance and it proposes a research model of the ubiquitous factors affecting user's intention to use mobile services, in terms of meaning(connectivity, mobility), service(contextual offer), compatibility(compatibility), and infrastructure(privacy, truth). The proposed model is expected to help both researchers and practitioners extend their understanding about the ubiquitous factors in mobile computing environment

• Journal of Technology Innovation
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• v.27 no.4
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• pp.111-144
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• 2019

As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.