• Asia pacific journal of information systems
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• v.31 no.1
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.61-69
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• 2016

The purpose of this study is to examine the factors influencing usage intention of social network service (SNS) in social enterprise. This model tests various theoretical research hypotheses relating the social enterprise, task-technology fit (TTF), technology acceptance model (TAM), and usage intention of SNS. The data were gathered from 84 questionnaire respondents. Smart partial least square (PLS) 2.0 have been utilized for deriving the study results. The result of hypothesis testing are as follows. First, TTF positively influence perceived usefulness, perceived ease of use, and usage intention of SNS. Second, perceived usefulness positively influence usage intention of SNS. But perceived ease of use does not influence usage intention of SNS. This study will provide theoretical and practical implications of TTF and usage intention of SNS in social enterprise.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.1-21
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• 2017

Business Intelligence (BI) system is a strategic tool that presents an analytical perspective about business and external environments. Even though its strategic value was well known, users often avoid using it or adopt it ceremonially. In fact, over 50 per cent of BI projects worldwide are reported to end in failure. Such an unexpectedly lower success rate has been a key issue in BI studies. In order to enhance a proper use of information systems, MIS field provided a number of theoretical constructs. One example is Goodhue & Thompson's Task-Technology Fit (TTF). In addition, internalization, the degree to which people make their own effort to modify behavior, was recently suggested as another important determinant of use. Though in MIS community both TTF and internalization proved to be a key determinant of system use, there has been not much study aiming to discover antecedents influencing these constructs. In this study we assert that user participation should be highlighted in BI projects. Especially, we emphasize user participation at the phase of feasibility study that is mainly conducted to determine whether a BI system is essentially necessary and practicable. Our research model employs participative feasibility study as a major antecedent for TTF and internalization that consequently will lead to user satisfaction and actual use. This model was empirically tested on 121 BI system users. The result shows that user participation in feasibility study is positively associated with TTF and internalization, each being related to user satisfaction and system use. It implies that, if an organization has BI users get involved in strategic feasibility study phase, the BI system would turn out to fit users' tasks and, furthermore, users would put more efforts spontaneously in order to use it properly.

• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.13-25
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• 2022

The purpose of this study is to explore the factors that influence the purchase of AI speakers in China. We integrate the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-technology fit (TTF) model into one model and put forward assumptions. According to the characteristics of AI speakers, we selected 6 independent variables, such as Performance Expectation, Effort Expectation, Social Influence, Facilitating Conditions, Task and Technology-characteristics. The final impact on purchase behavior is evaluated through Task-technology fit and purchase intention. After counting 478 samples, through SPSS22.0 and AMOS analysis, hypotheses have been proved by strong experimental data, except facilitating conditions. These results also imply that improving the technical level of AI speakers and enhancing consumers' purchasing intention are the central line of marketing. Based on this, we put forward several suggestions to marketers, including strengthening the research and development of AI speaker technology, and building a circle of friends of AI speakers.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.483-490
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• 2006

본 연구에서는 조직 구성원의 협업을 위하여 도입되는 그룹지원시스템(group support system; GSS)를 대상으로 GSS의 사용에 미치는 영향과 GSS의 사용으로 인한 개인의 성과의 관계에 대한 연구를 실시하였다. 본 연구를 위해 개인의 기술수용 요인에 대한 연구에서 보편적으로 널리 사용되어 온 기술수용모델(technology acceptance model; TAM)과 사용자의 과업과의 연관성을 고려한 과학기술적합(task-technology fit; TTF) 개념, 그리고 적응구조화이론(adaptive structuration theory; AST)을 통합하여 그룹 구성원들이 GSS의 도입의도에 맞게 사용하는 것이 개인과 조직의 성과를 향상시키는지 검증하였다. 연구결과, 높은 TTF는 사용자들이 GSS에 대하여 지각하는 유용성과 용이성에 영향을 미친다는 것을 검증하였다. 또한, TTF가 사용자들의 적절한 사용을 이끌고 있음을 검증하여 TTF 중심의 연구와 AST의 적절한 사용(faithfulness on appropriation; FOA)을 중심으로 하는 두 연구에 대한 통합 모델을 제시하였다.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.376-390
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• 2013

The purpose of this study are as follows : First, This study conceptually and artificially defines concepts of OCB, absorptive capacity, IT group-efficacy, and TTF. Second, this study confirms the relationship among the KMS performance, the result of using KMS, and the result drawn from OCB, absorptive capacity, group-efficacy, and TTF by the preceding researches, suggesting the research model and verifying through empirical study. Lastly, this study suggests the practical and strategic advices to the groups wanting to get on the edge through KMS. The results of data analysis showed that TTF was found to have a positive influence on KMS performance. IT group-efficacy and absorptive capacity were also found to have a positive effect on TTF. And IT group-efficacy was found to have a positive influence on OCB. The findings are discussed and further research topics are suggested as well.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.75-93
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• 2019

Digital twin technology is one of the key technologies to strengthen the competitiveness of manufacturing industry from the viewpoint of digital transformation in the era of $4^{th}$ industrial revolution. In this research, the important role in using digital twin technology in product design, This paper summarizes and empirically verifies the technical characteristics of digital twins, a key concept in the digital transition of the manufacturing industry. In this study, the technology characteristics of digital twin which is key concept in the digital transformation of manufacturing industry are summarized and empirically validated which factors militate a critical role in the use of digital twin technology in product design which is key area of product development. As a result of analysis, datafication, intellectualization which are characteristics of digital twin technology and task characteristics of product design influence Task Technology Fit (TTF) and Task Technology Fit (TTF) influences Technology (UTAUT) And finally, performance expectancy, effort expectancy, social influence and facilitating conditions affect usage intention.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.287-299
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• 2024

Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on task-technology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and task-technology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.111-128
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• 2018

Today the paradigm of the financial services industry is shifting to mobile banking, and each financial company provides a variety of mobile banking services. Because of the innovation of mobile banking service, the Internet Only Bank has been launched recently. However, the actual number of users is far less than the number of subscribers. The purpose of this study is to investigate the factors affecting the intention to use of Internet only banking service by applying Task-Technology Fit (TTF) theory. In order to carry out this research, we conducted a survey on the user of the Internet only banking services, tested the measurement validity/reliability analysis and derived structural equation model. The results indicate that there are significant correlations between technology characteristics and task-technology fit and between task-technology fit and continuance intention. The results of this study are expected to provide implications for securing and maintaining the users of Internet banking providers.

• International Commerce and Information Review
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• v.12 no.2
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• pp.29-57
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• 2010

Global e-Trade system which electronically processes all trade transactions of trading companies is an essential platform where export and import firms enhance international competitiveness. This study is to develop research models suitable for e-Trade and empirically analyze them in order to examine and verify factors affecting e-Trade system of trading companies on the basis of previously-verified studies on global e-Trade such as TAM, TOE, and Task-Technology Fit Model(TTF). Among many factors, this paper comprehensively analyzes an acceptance factor, which is one of the factors affecting the implementation and performance of e-Trade, from the technological, organizational, and environmental context. The finding from this paper will be applied to e-Trade projects carried out by the government in the future by analyzing the correlation between acceptance and performance.