• 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 Technology Applications and Management
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• v.20 no.1
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• pp.133-148
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• 2013

As network technologies evolve and so-called smart technologies appear, applications of smartphones are being applied in widespread areas. In general, the adoption of smartphones is different from the adoption of information systems. Thus, we tried to find out factors which may affect the user acceptance behavior. However, there have been some academic studies that analyzed the factors that affect user acceptance of smartphones, and their relationships. Under this academic background, we develop a model to examine how smartphones are accepted by users based on technology acceptance model. The theoretical model is validated through an online survey of smartphone users from two universities in Seoul, Korea. The results reveal that the users will have positive attitude towards adopting the smartphone when they perceive that the usage of smartphones is useful. We also find that the perceived usefulness of the smartphone is affected by the perceived ease of use and the media richness. The results also suggest that the perceived ease of use is determined by the self-efficacy whereas the intention to use smartphones is determined bv the perceived usefulness, the self-efficacy, and the attitude toward smartphnes' usage. Theoretical and practical implications are discussed.

• Journal of Construction Engineering and Project Management
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• v.2 no.4
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• pp.1-10
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• 2012

Building Information Modeling (BIM) and its different work streams, such as 4D planning (4D), are among the major drivers for change in the construction industry. The primary aim of this research is to create a holistic map of both the barriers and drivers affecting the industrial uptake of BIM and 4D through the use of an extensive literature review and a survey of contractors and consultants from the UK AEC (Architectural, Engineering and Construction) industry. This research demonstrates that while non-technical barriers such as the inefficiency in the evaluation of the business value of BIM and 4D; the shortage of experience within the workforce, and the lack of awareness by stakeholders are recognized by professionals as main barriers to BIM and 4D adoption, current research is still largely concerned with technical advancement of BIM and 4D technologies. A holistic map of the driving and restraining forces affecting BIM and 4D widespread adoption was provided. The tackling of the non-technical barriers identified will help bridge the gap between technology, end-users and their processes.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.217-229
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• 2011

Conventional IT device has been evolving into smart device based on more powerful computing, the adoption of platforms, and next generation networking. There are not many empirical studies with regard to the early adoption stage of smart IT technology devices. This paper aims to investigate intention to use smart device based an extended technology acceptance model (TAM) with flow empirically. We get the results that there are positive influences among multidimensional user characteristics and flow, perceived usefulness and the intention to use. According to this results, companies which want to dominate the market in advance should understand the characteristics of potential consumers in developing marketing strategies and contents.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.99-119
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• 2010

The Radio Frequency IDentification (RFID), once used widely, is expected to provide improved convenience in our everyday life. Crude observations of RFID consumption show that there is a wide variation in the adoption of this technology across different individuals. One plausible explanation is that consumers with challenging mind who seek for new technologies and have a good grasp of the new RFID technology should have higher propensity to use the technology. A better understanding of such acceptance pattern of RFID is of high importance in establishing technology providers' marketing strategies. This study is aimed to explain differences in the level of RFID acceptance focusing on cognitive styles of potential RFID users. By presenting potential RFID users' discriminative propensity toward RFID technology, this study hopes to provide guidelines for the design of service strategies that facilitate consumers' acceptance of RFID.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.173-196
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• 2012

Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Since cloud computing is emerging stage in industry, many companies and government consider adopting the cloud computing. Actually a variety of factors may influence on the adopting decision making of cloud computing. The objective of this study is to explore the significant factors affecting the adoption decision of enterprise cloud computing. A research model has been suggested based on TOE framework and outsourcing decision framework. Based on 302 data collected from managers in various industries, the major findings are following. First, the benefit factors of cloud computing service such as agility and cost reduction have direct and positive effects on adoption of the service. Second, lock-in as a risk factor of cloud computing service has a negative effect while security has not. Third, both internal and external environment factors have positive effects on adoption of the service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2306-2312
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• 2009

Todays, telecommunications companies tried to transform CDMA users into 3G service, WCDMA users. However, the WCDMA market growth is postponed by the lack of difference between CDMA and WCDMA service, customer's switching barriers such as loyalty program and handset, etc. Therefore, in this study, we tried to identify the relationship between the customer's satisfaction to the WCDMA services and the intention to uses using the WCDMA users' data. Additionally, we set the customer's attitude of technology adoption as a moderating variable between the customer's satisfaction to the WCDMA services and the intention to use. We expect that our results will be useful in planning the strategies of WCDMA service.

• Journal of Information Science Theory and Practice
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• v.9 no.1
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• pp.54-67
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• 2021

This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.177-179
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• 2014

Unlike using smart-phone for music, game, information searching, shopping, using smart-phone for tasks may be forced in the task environment. Therefore, attitude, usefulness, and easy of use of technology on information technology adoption mode can not fully explain using smart phone for tasks. To explain using smart phone for tasks, this paper is based on the theory of task and technology fit(TTF) that TTF influences the usage performance of technology.