• Informatization Policy
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• v.31 no.3
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• pp.34-47
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• 2024

Artificial intelligence(AI) is regarded as a key tool that can significantly contribute to innovation and improve productivity as digital transformation continues to spread rapidly. Currently, however, there is lack of understanding and empirical research on the factors that influence the adoption of AI by companies. In particular, most studies have been conducted by foreign researchers analyzing data from foreign companies, and domestic studies have limitations in terms of objectivity and timeliness. This study employs econometric methods to identify the determinants of AI adoption at the firm level. To this end, we derive the technological, organizational, and environmental context factors from the perspective of the Technology-Organization-Environment(TOE) framework as a representative theory of technology adoption factors. We then conduct a logistic regression analysis using data from 11,601 Korean firms. This study not only expands the research literature by supplementing the limitations of previous studies in Korea but also provides timely evidence and implications through empirical analysis.

• Asia pacific journal of information systems
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• v.15 no.4
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• pp.89-107
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• 2005

As new information technology(IT) adoption continues to produce many investment opportunities, imperfectly informed IT managers keep trying to acquire credible external signals to update their knowledge on new technologies. Such learning processes usually help them to reach better IT adoption decisions. In some cases, however, the opposite of the goal is achieved. Most IT managers quickly converge to the same adoption decision independent of their private information. Interestingly, such information cascade is the outcome of each individual decision maker's rational choice. A technology acceptance model(TAM) is adopted that has been widely used to predict the end-user's acceptance of a new technology. A model with individual charact-eristics and information cascade variables is constructed to explain user's intention in adopting blogging. The model is empirically tested with surveyed data. The results show that individual characteristics and information cascades have significant impacts in the case of blogging.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.1-14
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• 2001

New information technologies have often been treated as innovations for target users. Although users in recent times have had significantly more opportunities to be socialized with information technologies, the rapid pace of technology development usually means that every new technology represents a fairly major change over the previous one. Although a fairly significant body of research that empirically tests these alternative models and theories is now in existence, some questions with regard to the role of perceptions in innovation adoption remain unanswered. This paper reports the results of a field study examining adoption of an information technology innovation represented by an internet application. Moreover, the study examines the effects of an important moderating influence-personal innovativeness-on this adoption process. Finally, the study seeks to shed further light on the determinants of perceptions by examining the relative efficacy of mass media and interpersonal channels in facilitating perception development.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.41-58
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• 2009

This research investigated how people are influenced to adopt online review. We applied the Elaboration Likelihood Model (ELM) and the Technology Acceptance Model (TAM) to this study. Our research model highlights the assessment of online review usefulness as a mediator from online review quality to online review adoption. This research predicted online review consensus has a role to bulid up online reviw usefulness. This study also includes vividness and perceived similarity as determinants of online review quality. Survey data reflect user's perceptions of actual online review they read. Results support most of research hypotheses except hypothesis related to moderating effect of user involvement. This research offers a model for understanding online review user's acceptance. Additional theoretical and practical implications are also discussed in the paper.

• Asia pacific journal of information systems
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• v.12 no.2
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• pp.45-68
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• 2002

Technology adoption for information appliance, which is expected to grow rapidly in the near future, is different from other technologies in that it is mainly used in the home environment when the customers haven't experienced it before. This paper finds important variables from prior research about technology adoption and develops a measurement model that fits for the information appliance. Pretest and pilot studies for the model is conducted in order to guarantee content validity, reliability, convergent validity and discriminant validity. Finally, LISREL analysis is used for finding out the causality among variables and testing for model fitness. The results indicate that three factors that influence behavioral intention are attitude, subjective norm and perceived behavioral control. Attitude is influenced by attitudinal belief, which consists of perceived usefulness, trialability, result demonstrability, image and enjoyment. Perceived behavioral control is influenced by control belief that consists of rapid change in technology, cost and ease of use. This paper ends with implications and limitations of study results.

• The Journal of Information Systems
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• v.16 no.4
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• pp.157-176
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• 2007

Most of the Information Systems(IS) literature has focused on utilitarian or hedonic Information Technology(IT) to explain and predict IT adoption and use. This study investigates the relationships among individuals' beliefs and intention to use of movie website, which has both utilitarian and hedonic characteristics simultaneously. As a theoretical background, this study adopts Technology Acceptance Model(TAM) and Motivation Theory, in which the former is well-known as a theory of IT adoption and use in IS field, and the latter is famous for a theory of individual's behavior in organizational behavior field. With 153 responses, five hypotheses are tested by using structured equation model. The results show that perceived ease of use positively influences perceived usefulness and perceived enjoyment, and that all individuals' beliefs have a positive impact on intention to use of movie web-site. Based upon the study results, movie website's managers and professionals can plan and conduct their courses of action effectively for users' continuous visits on their operating website.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.345-377
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• 2013

Government agencies have many difficulties for the information system development and operation. One of the difficulties is a budget estimation. Each government agency suggests individually different estimation for the personnel expenses and IT infrastructure adoption costs in the same field of informatization promotions. The other one is the operation costs are increased exponentially in every year[42, 51]. Those difficulties make government agencies can not help adopting SaaS. In fact, most of IT consulting company and government agencies already recognized a variety of SaaS advantages. The most typical SaaS's advantages are cost reduction, Software rapid development and deployment. However, once government agencies decide to adopt SaaS, they can not avoid many problems and difficulties. There is no information in a detailed item in a budget. In those kinds of situation, there is no choice whether government agencies accept SaaS provider's suggesting adoption costs or not. Thus, we provide a sheet of SaaS adoption cost estimation to government agencies. To know the cost factors, this study uses TCO(Total Cost of Ownership)'s criteria. To give a management point, this study uses Gartner's Application development Life Cycle. In this study, the integration check framework which is SaaS adoption cost estimation makes government agencies possible to establish a adequate budget.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.311-321
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• 2020

This paper aims to investigate the effect of the factors on the e-invoice at its infant stage of adoption in the context of Vietnam. Data were collected by using a questionnaire delivered to 318 participants who are managers and accountants of companies in Vietnam from June to September 2019. The statistical methods approaches are employed to address the research issues including Cronbach's Alpha testing, Explanatory Factor Analysis (EFA), and Confirmation Factor Analysis (CFA). Then, Structural Equation Modeling (SEM) is employed to assess the proposed hypotheses model of e-invoice adoption in Vietnam. The research findings showed that direct factors have a statistically significant impact on the e-invoice adoption towards behavior, and perceived behavioral control. Perceived usefulness and perceived ease-of-use positively affect attitude towards the behavior. These factors, in turn, are impacted by perceived compatibility. Based on the research results, some practicable suggestions are proposed in order to boost the number of Vietnamese enterprises voluntarily adopting e-invoice. This study indicates the important impacts of the user's attitude and perception about control ability on intention to use. In addition, some key intuitive recommendations were proposed aiming to improve the success of the e-invoice adoption of enterprises in the context of Vietnam.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• Information Systems Review
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• v.8 no.3
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• pp.81-103
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• 2006

Given the increasing of adoption of use of Mobile Wireless Technology(MWT), this study aims at investigating the key influencing determinants of individuals' MWT adoption and use. Based on the Technology Acceptance Model(TAM), the research model proposed new constructs and casual relations, Perceived Safety(PS), Perceived Costs(PC), Company's Willingness to Fund(CWF), and Experience(E) as a moderator. The model was tested using Structural Equation Modeling(SEM) using AMOS 5.0 analysis on the sample collected from 387 MBA and Executive MBA students of several domestic and foreign universities. The results show that not only the variables, except Perceived Usefulness, in the original TAM model, but also new variables in the research model had a significant influence on other variables. The implications of the findings suggest a new theoretical framework for future IS/IT research and offers suggestions that the developers of MWT should consider regarding the technology