• 산업공학
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• 제17권3호
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• pp.314-329
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• 2004

The rapid growth of investments in mobile service to reach a large and growing body of customers, coupled with low communication costs, has made user acceptance an increasingly critical management issue. The study draws upon the task-technology fit (TTF) model as its theoretical basis and its empirical findings to pragmatically explain the key factors that affect the performance and user acceptance of mobile service in medical field. A total of 110 usable responses were obtained. The findings indicate that the task, technology, and individual user characteristics positively affect task-technology fit and mobile service usage. The task-technology fit and mobile service usage are the dominant factors that affect mobile service performance. The result points out the importance of the fit between technologies and users' tasks in achieving individual performance impact from mobile service in medical arena.

• Asia pacific journal of information systems
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• 제16권2호
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• pp.47-67
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• 2006

This study takes a quantitative approach to the influence of TTF (Task-Technology Fit) on the individual's use and performance of GSS (Group Support Systems), while traditional studies on TTF have taken the experimental approach to explore the characteristic fit between diverse tasks and technologies. We have the following two research inquires: Are the IS use and performance maximized when information technologies are provided by the exact amount of demand?; and, Does TTF at the high level between task and IT produce better IS use (or performance) than at the low level? To investigate these issues, we use the polynomial regression analysis and response surface methodology of Edwards (1993) instead of traditional direct measure of TTF. This method measures the degree of desired and actual level of information technologies in conducting tasks, and traces the dynamic changes of dependent variables (IS use and performance) according to the variances of each independent variable. Our results conclude that user's IS use and performance are maximized when information technologies are actually provided by no more or less than the desired level. We also found that TTF at the high level promotes better IS use and performance than TTF at the low level.

• 한국정보시스템학회지:정보시스템연구
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• 제31권2호
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• 한국IT서비스학회지
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• 제7권1호
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• pp.63-87
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• 2008

This study investigates the effects of individual and group level factors on the use of GSS (Group Support System) and task performance from GSS use. GSS facilitates the group work, so that GSS adoption is not necessarily influenced only by individual perceptions on information systems as TAM insists. Adaptive Structuration. Theory (AST) joins with TAM in our study to explain the adoption and success from GSS use. AST contends that the success of IS is not necessarily the technical fit between tasks and technology, instead the political outcome among user socializations. We found that collected data from 303 individual IT staffs in a national bank. Our results demonstrate that traditional theories on TAM (Technology Acceptance Model) need to be refined, when considering the TTF(task-technology fit). TTF render high influences on PU(perceived usefulness). PEU(perceived ease of use) and FOA(faithfulness on appropriation). And FOA influences highly on our dependent variable. Implications and directions for future research are discussed.

• 인터넷정보학회논문지
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• 제20권1호
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• pp.113-124
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• 2019

Recently, Omni Channel Services has been considered the most innovative business strategy. Omni-Channel sees a variety of channels from all channels viewpoints, organically combining each channel to provide a seamless experience for consumers. In other words, Omni-Channel is not simply a systematic integration of channels, but a means of delivering consistent services to consumers in all processes through a strategy to an organic connection. The aim of this study is to provide a comprehensive insight into the decision factors affecting the adoption of Omni-channel. For this purpose, an empirical analysis is conducted on the course of acceptanceof the Omni-channel service based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-technology fit (TTF), an effective model frequently selected to describe the acceptance of service in the introduction phase of new information technology. As a result of the study, it was confirmed that the task characteristics and the technical characteristics had a positive effect on the task-technology fit, and the task-technology fit had a positive effect on the performance expectancy. In addition, task-technology fit, performance expectancy, and social influence have a positive effect on the intention to use the Omni-Channel. This study is intended to deliver an experimental meaning by proposing a strategical measure to understand the behaviorsand uses of consumers in the Omni-channel service environment and increase the customer satisfaction for the system.

• 유통과학연구
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• 제20권5호
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• pp.85-96
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• 2022

Purpose: This study aims to dissemination a new concept based on empirical research on enhancing entrepreneurship intention (EI) in the theory of planned behavior (TPB) through entrepreneurship mindset (EM) and task technology fit (TTF). The TTF is a moderating variable in strengthening the relationship between EM and EI. Research design, data, and methodology: This research design was quantitative research. The respondents were 202 students from Malaysia and Indonesia who had filled out and collected an online questionnaire in Microsoft form. Three hypotheses examined the direct influence and the indirect impact of EM on EI through antecedent variables of TPB, and the effect of TTF as moderating variable to enhance the relationship between EM and EI. The data was analyzed using the WarpPLS version 7.0. Results: The result showed that EM had a significant impact on the students' EI. The interaction of EM and TTF was significantly able to improve EI. Conclusions: The findings contributed new ideas to develop the theoretical framework of the TPB model and were able be utilized by lecturers to consider the integration of EM and TTF in the model. The novelty of this study elaborated the EM and TTF variables as an extended model of the TPB.

• 한국정보시스템학회지:정보시스템연구
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• 제31권2호
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• pp.197-216
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• 2022

Purpose In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted. Design/methodology/approach In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS. Findings The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.177-179
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• 2014

스마트폰을 개인 업무에 사용하는 것은 음악, 게임, 정보검색, 쇼핑 등의 스마트폰의 일반적인 사용과 달리 비자발적 가능성이 높다. 따라서 기존의 정보기술수용모형에서 제시하는 시스템에 대한 태도나 시스템의 유용성과 용이성만으로는 스마트폰의 업무활용을 충분히 설명하기 어렵다. 정보기술과 개인의 업무체계가 잘 맞는 정보시스템이 성과를 달성한다는 과업기술적합성 이론을 기반으로 스마트폰의 개인 업무활용에 대한 연구를 수행하고자 한다.

• Asia pacific journal of information systems
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• 제31권1호
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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.

• 기술혁신학회지
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• 제10권4호
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• pp.755-788
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• 2007

본 연구에서는 조직 구성원의 협업을 위하여 도입되는 GSS(Group Support System)를 대상으로 과업과 기술의 적합도(TTF: Task-Technology Fit)가 GSS의 사용과 성과에 미치는 영향에 대한 연구를 수행하고자 하였다. 특히 조직구성원들의 상호작용 영향을 고려하기 위해 적응구조화이론(AST: Adaptive Structuration Theory)에서 제시하고 있는 그룹 구성원들 간의 전유방식의 동의정도(COA)와 사용자와 설계자 간의 일치(FOA)의 조절효과를 고려하였다. 이를 위해 본 연구에서는 GSS를 도입하여 사용하고 있는 기업을 대상으로 2005년 6월 2일부터 6월 27일까지 약 1달 간 총 303부의 설문지를 회수하여 분석하였다. 연구결과, 과업기술적합도는 GSS 사용과 성과에 긍정적 영향을 미치는 것으로 나타났으며, 전유방식의 동의정도가 강할 경우 GSS사용에 강력한 영향력을 행사하였다. 또한, 전유의 충실도역시 과업기술적합도와 GSS 사용과 성과 간의 관계에 모두 긍정적 영향을 미치는 것으로 나타났다. 본 연구를 위해 개인의 정보시스템 성과에 대한 연구에서 보편적으로 널리 사용되어 온 과업기술적합도 모형과 정보시스템에 구성원들이 적응하는 과정을 설명하는 적응구조화이론 이론을 통합함으로써 GSS 사용에 따른 개인의 성과를 보다 구체적으로 파악할 수 있을 것이다.