• Journal of Navigation and Port Research
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• v.46 no.2
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• pp.134-144
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• 2022

The development and operation of autonomous ships are spotlighted as a next-generation technology that will provide newbenefits for the maritime business during the fourth industrial revolution. To expand the adoption of autonomous ships, the much more interest of the nation and the industries will have to be changed to actual adoption in shipping companies. For this, it is judged that research to identify the factors impacting the adoption intention of autonomous ships should be preceded. However, most studies on autonomous ships have focused on developing the technology, revising the law, establishing policies, and managing human resources, with few studies on influencing factors in the adoption of autonomous ships. A model, to identify the factors that impact the intention to the adoption of autonomous ships, based on the theory of diffusion of innovation and the TOE framework was developed. The suggested model was verified through empirical analysis targeting the shipping companies and the marine industries in Korea. As the result of this study, it was found that top management support, financial slack, and competitive intensity significantly impacted the intention to adopt autonomous ships. Additionally, it was revealed that the overall awareness of autonomous ships among Korean shipping companies is poor.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.195-207
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• 1997

High price equipment is one of the major factors that increases national health expenditure in developed countries. Computerized Tomography(CT), one of the important high price equipment, has been concerns of health service researchers and policy makers in many countries. In Korea, CT, first introduced in 1984, have spreaded nationwide with rapid speed. Though the Committee for Approving Import of High Price Medical Equipment, founded in 1981, tried to regulate the introduction of high price medical equipment including CT, the effort resulted in failure. The exact situation of diffusion of the high price equipment, however, was not yet investigated. We aimed at the description of the diffusion of CT in Korea and analysis of influencing factors on hospitals for the adoption of CT. We mainly used the database of CT, made in 1996 by the National Federation of Medical Insurance for the purpose of insurance payment for CT. Also characteristics of hospitals were gathered from yearbooks published by the central and local governments and by the Korean Hospital Association. We calculated the cumulative number of the CT per one million population year by year. In turn, multiple linear logistic regression was done to find out the contributing factors for the adoption of CT by each hospital. In the logistic regression model, it is regarded as dependent factor whether a hospital retained CT or not in 1988 and 1993. The major categories of the independent factors were hospital characteristics, environmental factors and competitive conditions of hospitals at the period of the adoption. The results are as follows: Number of CT scanners per one million persons in Korea marked more higher level compared with those of most OECD countries. Major influencing factors on the adoption of CT scanners were hospital characteristics, such as hospital referral level, and competitive condition of hospitals, such as number of CT scanners per 10,000 persons in each district where the hospital was located. In Korea, CT diffused with rather rapid speed, comparable with those of the United States and Japan. The major factors contributing on the adoption of CT for hospitals were competitive condition and hospital characteristics rather than regional health care need for CT. In conclusion, a kind of regulating mechanism would be necessary for the prevention of the indiscreet adoption and inefficient use of high price equipment including CT.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.652-676
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• 2023

The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

• Journal of Environmental Impact Assessment
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• v.24 no.2
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• pp.119-133
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• 2015

The paper reports on exploratory research into the factors influencing adoption of low impact development (LID) regulations by local government. The research uses ten case studies ranging from low to high level adoption of LID in Virginia. Based on the theory of diffusion of innovations, perceived characteristics of LID, characteristics of the adopting local government, motivations of the adopter, and the surrounding organizational context of the adopter are chosen for the key factors influencing on LID adoption. By reviewing the local governments regulations related to stormwater management, meeting minutes, reports and documents, and in-depth interviews, the evaluation of the key factors and the local LID adoption was conducted. As a result, adopters with a high level of LID adoption at the time of the study were heavily influenced by champions of LID within local government and communities. In contrast, moderate level adopters and low-level adopters emphasized the importance of external forces like state regulatory mandates and the need for clear models to implement.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.227-235
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• 2018

The purpose of this study was to analyze the factors affecting on pre-service early childhood teachers' adoption intention of Robot-based education. For this purpose, the survey was conducted on 259 college students and the collected data was analyzed using SPSS 23.0. T-test and one-way ANOVA were used to compare the differences of adoption intention and predictive factors according to pre-service early childhood teachers' background variables. In addition, multiple linear regression analysis was conducted to analyze influence of perceived ease of use, perceived efficacy, innovative will, and social effect on adoption intention. The results were found that adoption intention and predictive factors did not show any significant difference according to background variables and that perceived ease of use and perceived efficacy influenced on pre-service early childhood teachers' adoption intention. Moreover, innovative will and social effect had an effect on perceived ease of use and perceived ease of use and social effect had an effect on perceived efficacy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.873-882
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• 2021

The study investigates the key factors that affect the adoption of the International Financial Reporting Standards (IFRS) by companies listed on Ho Chi Minh Stock Exchange (HOSE) in Vietnam. The factors that are studied in this research include total debt-to-equity ratio, firm size, return-on-equity ratio, audit quality, foreign investment, and financial institution category. The authors have utilized quantitative and qualitative analyses in combination with a logistics regression model and other available analytical tools for conducting the research. All statistics processed in the paper were based on 379 audited financial statements issued in 2018. The results reveal that factors like firm size, return on equity (ROE), audit quality, foreign investment, and financial institution category positively affect the IFRS adoption of HOSE-listed companies, while total debt-to-equity ratio negatively impacts the adoption. The findings suggest Vietnamese law and policy-makers, when promoting the adoption of IFRS by listed companies, should focus more on five variables with positive influence and they can disregard the total debt-to-equity ratio that is insignificant as a factor affecting the adoption of IFRS. This implication could be applied for other firms in Vietnam and for enterprises in other countries, which are in the same stage of IFRS application.

• The Journal of Bigdata
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• v.7 no.2
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• pp.43-73
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• 2022

In order to improve productivity, reduce costs, and improve decision-making efficiency, which are one of the main contents of the digital transformation promotion goal, many companies are promoting the introduction of various IT for digital transformation. Information technology (IT) is a key means of determining competitiveness, and the IT adoption worldwide is increasing every year. The financial industry is also actively introducing huge amounts of IT every year to generate profits, improve work efficiency, and secure a strategic competitive advantage. Compared to some studies on the IT adoption in the public and corporate sectors, empirical studies that reflect the characteristics of the financial industry are insufficient. In this study, the purpose of this study was to derive factors affecting the IT adoption in the financial industry for the promotion of digital transformation, and to analyze weights and priorities. By revealing through data analysis that there is a difference in the relative priorities of factors in the financial IT adoption for each group, it can be used as a reference model for which factors should be considered prior to IT adoption from the perspective of each group. It will be meaningful in that it exists.

• The Journal of Fisheries Business Administration
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• v.36 no.2 s.68
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• pp.53-69
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• 2005

The recent emergence of electronic commerce could provide different opportunities to small firms in overcoming part of their technological, environmental, organizational, and managerial inadequacies. However, recent research provided a gloomy picture about electronic commerce uptake and use in small firms. Until now few small flrms adopted electronic commerce. This phenomenon gives us several implications. One of the implications is a need to generate more research to small firms' uptake and use of electronic commerce. So, this research aims at what is determinants in small firms' adoption of electronic commerce, especially business - to - business(B2B). Several previous studies were identified various influential variables in adoption of small firms' electronic commerce. To some extent, by industries these variables may be different in influencing B2B adoption of small firms. This study selected fishery industry's wholesale firms as survey domain. Then, It selected some variables from previous studios and group them in several factors for consistently comparing variable's influential power. Through hierarchical influencing model of B2B adoption, managers who worked for fishery wholesale firms were surveyed. Among the first level's factors of the model, business factor was identified as the statistically most influential factor in B2B adoption. Technological factor and environmental factor at the frist level were identified as relatively less influential factors. Among the second level's factors of the model, it was statistically significant only that technological usefulness factor was more influential than technological burden factor in B2B adoption. And among the third level's factors of the model, it was identified that formal plan and task team for B2B, top management support, and mutual beliefs of inter - firms were statistically more influential than related variables in B2B adoption. These results give us some implications. First, fishery wholesale firms recognized B2B as a new business paradigm, and technological problems as not obstacles in adopting B2B. Thus it would be possible to activate the fishery B2B if they were guided to getting B2B benefits and B2B's relative advantages. Second, they considered the power of influential factors might be different by B2B stages. That is, top management support was more important in the B2B introduction stage, and formal plan and task team for B2B and mutual beliefs of inter - firms were more important in the B2B operation stage.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.610-632
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• 2024

Mobile Learning (M-learning) adoption and success in supporting students' learning engagement mainly depend on many factors. Therefore, this study systematically reviews the literature, synthesizes and analyzes the predictors of M-learning adoption, and uses success for students' learning engagement. Literature from 2016 to 2023 in various databases is covered in this study. Based on the review's findings, the factors that influence students' learning engagement when it comes to M-learning usage and adoption, can be divided into technical, pedagogical, and social factors. More specifically, technical factors include mobile devices availability and quality, connectivity to the internet, and user-friendly interfaces, pedagogical factors include effective instructional design, teaching methods, and assessment strategies, and social factors include motivation of students, social interaction and perceived enjoyment - all these factors have a significant impact on the M-learning adoption and use success. The findings of the review also indicated that M-learning has a key role in enhancing the learning engagement of students through different ways, like increasing their motivation, attention, and participation in their process of learning, paving the way for interaction and building relationships opportunities with peers and instructors, which in turn, can lead to strengthening the learning environment. The implications of these findings extend beyond immediate educational contexts, offering vital insights for future educational technology strategies and policy decisions, particularly in addressing global educational challenges and embracing technological advancements in learning.

• The Journal of Information Systems
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• v.12 no.2
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• pp.165-187
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• 2003

This study examined the factors that make Korean companies adopt supply chain management systems. By adding a group of inter-organizational factors, we extended an innovation-theory-based research model to study the information technology adoption. Sixty three questionnaires from 700 leading companies in Korea were collected and analyzed. Independent variables of the research included environmental, organizational, innovation, and relational characteristics. We found that supply chain management systems in Korean companies are at the initial stage of the adoption, in general. This research also found that company's environmental characteristics have insignificant relationship with the adoption of supply chain management systems. In addition, organizational characteristics (the support of top management, the size of organization, and the information technology infrastructure), innovation characteristics of the supply chain, and the power exercised over the supply chain played important roles in adopting supply chain management systems.