• Journal of Information Technology Services
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• v.22 no.6
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• pp.17-35
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• 2023

This study investigated how helpful the use of generative AI such as ChatGPT is in conducting engaged learning at each university. In this study, based on the experiences of users using generative AI technology, we analyzed the relationship between usability and ease in consideration of the characteristics of learners, and examined whether there is an intention to continue using generative AI technology in the future. In this study, in order to verify the factors affecting the intention to use ChatGPT technology in order to solve the problems given in the participating classes, we examined previous papers based on the Technology Acceptance Model (TAM) and the Information System Success Model (IS), extracted the factors affecting the intention of ChatGPT technology, and presented the research model and hypothesis. Empirical research on the continuous use of generative AI in participatory learning using ChatGPT was conducted to determine whether it is suitable for long-term and continuous use in the educational environment, and whether it is sustainable by examining the intention of learners to continue using it. First, user satisfaction was positively related to the intention to continue using generative AI technology. Second, if the user experience has a great influence on the intention to continue using ChatGPT technology, and users gain experiences such as usefulness, interest, and effective response in the process of using the technology, the evaluation of the technology is positively formed and the intention to continue using it is high. Third, the ease of use of the technology also showed that it was intended to be used continuously when an environment was provided in which users could easily and conveniently utilize generative AI technology.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.351-371
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• 2024

This study aims to assess the impact of chatbot usability and demographics on continuous intention to use across different sectors. The research employed Braun's Bot Usability Scale (BUS11) to measure chatbot usability, focusing on accessibility, quality, conversation quality, privacy risk, and response time. A total of 187 participants completed a survey as part of this study. Variance-based SEM was utilized to examine relationships and test hypotheses. This study contributes to the ongoing discourse on chatbot adoption and user behaviour. It enhances the understanding of chatbot usability, highlighting the role of age in continued intention to use chatbots. The findings suggest that different age groups may possess specific preferences and expectations regarding chatbot usability. These differing preferences can influence their intention to continue using this technology. The study reveals that chatbot usability significantly impacts continuous intention to use and that age moderates the relationship between perceived conversation quality, information, privacy, security, and continuous intention to use. Based on the study's results, it is recommended that chatbot designers enhance usability to promote long-term adoption and usage.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• Korean Journal of Organic Agriculture
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• v.28 no.3
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• pp.315-334
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• 2020

This study was conducted to analyze factors affecting acceptance of smart farm technology. Smart farm technology is rapidly being introduced to agriculture in accordance with the progress of the 4th Industrial Revolution, but research on this is still little. Therefore, in this study, based on the unified theory of acceptance and use of technology (UTAUT), a research model reflecting the characteristics of smart farm technology was constructed. To test this, empirical analysis was performed. A survey was conducted for students in smart farm technology education and adult male and female farmers who are currently planning to operate smart farms. Valid 204 sample were used for analysis. The hypothesis test was based on multiple regression analysis using SPSS 24 statistical package. For the mediating effect and moderating effect, Process Macro 3.4 based on the regression equation was used. The results of testing the hypothesis are as follows. First, in the causal hypothesis test, it was shown that performance expectancy, social influence and price value have a significant positive effect on the intention to use smart farm technology. On the other hand, effort expectancy, facilitating conditions were not tested for a significant influence on the use of smart farm technology. As a result of analyzing the mediating effect of trust, it was found that trust plays a mediating role between performance expectancy, effort expectancy, social influence, facilitating conditions, price value and intention to use smart farm technology. In particular, the effort expectancy has not been tested for a direct significant effect on intention to use smart farm technology, but it has been shown to have an impact through trust. Trust was found to be a full mediating between the effort expectancy and the intention to use the smart farm technology. The current IT level of prospective users has been shown to play a moderating role between performance expectancy, facilitating conditions and intention to use smart farm technology. In particular, the IT level was found to strengthen the relationship between performance expectancy and intention to use smart farm technology. Based on the results of these studies, academic and practical implications were suggested.

• Journal of Information Technology Services
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• v.18 no.4
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• pp.97-113
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• 2019

With the development of sensor, communication and intelligent software technology, expectation of IoT-based service which can receive desired service automatically and anytime, anywhere is getting higher. In addition, IoT-based services have begun to anticipate the development of a hyper-connected society. Despite these expectations and anticipations, few studies have empirically identified ways to improve the intentions of prospective customers to use IoT-based services. Therefore, the purpose of this paper is to propose a theoretical model that can explain the factors that determine the intention of using IoT-based services. In addition, this study investigates what factors affect the intention to use IoT-based services focusing on the connectedness. Especially, perceived connectivity with the (virtual) community, unlike the connectivity with the machines, is newly proposed, to understand the IoT technology adoption behavior. The empirical results suggest that social relationship is one of the critical factors to affect the use of services running on interconnected technology such as IoT. When IoT-based service is recognized as a link to other communities, it has been found to have a positive effect on intention to use via perceived belongingness.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.95-114
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• 2023

Smart healthcare, combining ICT (Information and Communications Technologies) and medical technologies, has been rapidly emerging. Accordingly, its market has also increased as interest in disease prevention, management, and diagnosis grows due to the COVID-19 pandemic. In particular, using mobile devices to support medical activities, mobile healthcare has been attracting attention as a leading service in the smart healthcare market. However, the intention to use mobile healthcare apps may vary depending on individual beliefs and attitudes. Many studies on the intention to use mobile healthcare apps have used the TAM (Technology Acceptance Model), but there is a lack of studies that have been verified from the perspective of users' health beliefs. This study aims to identify the factors that affect the intention to use mobile healthcare apps based on the HBM (Health Belief Model). Furthermore, it investigates how this influencing mechanism fluctuates based on the user's mHealth literacy, the ability to find and understand health information through mobile. This study contributes to the empirical examination of the intention to use mobile healthcare apps through the HBM. It also offers insights for app providers and public health officials to increase the use of mobile healthcare apps.

• The Journal of Economics, Marketing and Management
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• v.10 no.4
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• pp.1-12
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• 2022

Purpose: The purpose of this study is to explore how customers perceive virtual mirror technology in the 4th industrial revolution environment. In particular, this study investigated how virtual mirror technology affects customer satisfaction and intention to use that are rarely examined in previous studies. Research questions include how proposed variables including sensory stimulation, enjoyment, product quality, telepresence, interactivity, and immersion affect satisfaction and intention to use and how satisfaction affects intention to use. Research design, data and methodology: This study conducted an online survey and applied factor and regression analyses to test hypotheses. Results: The results of this study found that effects of sensory stimulation, telepresence, and immersion on satisfaction were significant, while effects of enjoyment, product quality, and immersion on intention to use were significant. Therefore, variables affecting satisfaction and intention to use were different, while effects of immersion were significant both on satisfaction and intention to use. Conclusions: This study concluded that the role of virtual mirror technology helps customers determine product quality and increase satisfaction level, while it also helps customers enjoy shopping and increase intent to use the service. The results of this study provide how to foster better relationship with customers by applying advanced technologies.

• The Journal of Information Systems
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• v.21 no.2
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• pp.115-133
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• 2012

According to previous studies, the effect of intrinsic motivation related variables such as cognitive absorption (CA) on the use of information technology(IT) should be mediated by the conscious intention. However, CA, which is a thought of previous emotional experience, a deep involvement with a software, may be one of environmental cues stimulating the use of IT independently of conscious intention. The objective of this study is to show the direct effect of CA on the automatic use of IT. For this purpose, as well as the relation between CA and use, two relations, CA-intention and intention-use, were also suggested as hypotheses, which will show that conscious intention would not fully mediate the relation between CA and automatic use. Moreover, for seeing the effects of CA as time passes, the proximal effect, which is short term and transitory effect, and the distal effect, which is long term and lingering, were simultaneously included in hyptheses. Finally, the effect of past use was also suggested as a hypothesis which aimed to show that automatic use would be controlled mostly by habit rather than not only intention but also CA. For the empirical validation of the hypotheses, 174 users of 'Cyworld', one of most influential social network services, were longitudinally surveyed, which showed that the hypotheses were accepted.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.135-145
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• 2023

ChatGPT is an artificial intelligence-based conversation agent developed by OpenAI using natural language processing technology. In this study, an empirical study was conducted on incumbent teachers on the intention to use the newly emerged Chat GPT. First, we studied how accuracy, entertainment, system accessibility, perceived usefulness, and perceived ease of use affect ChatGPT's acceptance intention. In addition, we analyzed whether perceived usefulness and perceived ease of use differ in the intention to accept depending on the digital technology of teachers. As a result of the study, the suitability of the structural equation model was generally good. Accuracy and entertainment were found to have a significant effect on perceived usefulness, and system accessibility was found to have a significant effect on perceived ease of use. In the analysis of teachers' digital technology control effects, it was found that perceived usefulness and perceived ease of use had a control effect between acceptance intentions. It was found that the group with high digital skills of teachers was strongly intended to accept the service regardless of perceived usefulness and ease of use. In the group with low digital skills of teachers, it is thought that ChatGPT's service shows the acceptance intention only when the perceived usefulness and ease of use are high. Therefore, in the group with low digital technology, it is necessary to seek teaching activities such as the development of instructional models using ChatGPT.

• Korea Journal of Hospital Management
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• v.25 no.2
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• pp.57-68
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• 2020

Purpose: The purpose of this study is to determine the influence of hospital employees' perceptions and performance expectations on IT technologies introduction and intention to use in the Fourth Industrial Revolution. Methodology: A survey was conducted on 524 employees at 42 hospitals. Pearson's correlation analysis, regression analysis, Sobel test, and structural equation were used for the analysis. Findings: The factors of technical situation (complexity, compatibility, technical readiness, and security concerns), those of environmental situation (competitive pressure and regulatory support), and organizational situation (top management support and costs) have influenced on the recognition of employees in the hospital and the performance expectations. IT technology introduction and use intention have been influenced by technical situation, organizational situation, and environmental situation in order. But security concerns and cost factors have not statistically affected. In addition, due to the perception and performance expectations of hospital employee who have a role in mediating the introduction and use intention of IT technology, the greater the perception and performance expectations of hospital employees, the higher the intention of introduction and usage of IT technology. Practical Implications: Rather than considering the position of external customers and the position of competitive hospitals, more attention is required for the perception and performance expectations of the internal members.