• 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.

• 한국전자거래학회지
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• 제16권1호
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• pp.71-100
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• 2011

IT 기술의 발전으로 시간적, 물리적 제약을 넘은 미래 인터넷 기술에 대한 사용자들의 기대가 커지고 있다. 이러한 요구를 충족시키기 위해 최근 새로운 개념으로 주목 받고 있는 것이 클라우드 컴퓨팅이다. 그러나 이러한 긍정적인 전망에도 불구하고 클라우드 컴퓨팅의 도입은 활발히 이루어지고 있지 않고 있는 실정이다. 따라서 본 연구에서는 클라우드 컴퓨팅 환경의 특성이 프로젝트 수행성과에 어떠한 영향을 미치는가에 대하여 살펴보았다. 본 연구는 기술적 도구로써 클라우드 컴퓨팅을 과업과 기술의 적합성 모형에 적용하여 클라우드 컴퓨팅 환경에서 개인이 프로젝트를 수행할 시에 나타나는 성과에 대하여 실증적인 연구를 하였다. 대학교 및 대학원에서 팀 단위의 프로젝트를 수행할 때, 클라우드 컴퓨팅의 가장 널리 보급된 형태인 GoogleDocs 및 웹하드에 대한 사용경험이 있는 응답자를 대상으로 설문을 수행하였다. 본 연구에서는 클라우드 컴퓨팅 환경에서 프로젝트를 수행한다는 행위에 중점을 두어, 접근성과 신뢰성을 적합성을 파악하기 위한 1차 요인으로 정의하여 프로젝트의 상호의존성과 개인의 특성이 적합성 및 활용을 통하여 성과에 어떤 영향을 미치는지를 분석하였다. 연구결과, 클라우드 컴퓨팅 환경은 팀 단위의 프로젝트 수행에 있어 적합한 도구라는 사실을 규명하였다. 본 연구는 초기단계의 클라우드 컴퓨팅에 있어 개인이 지각하는 적합성 및 성과를 규명함으로써, 협업에서의 클라우드 컴퓨팅의 긍정적인 영향에 대한 근거를 제시한다.

• 한국전자거래학회지
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• 제27권2호
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• pp.37-64
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• 2022

인공지능의 사회적수용도가 증가하면서 머신러닝 기법을 기업에 적용하는 사례가 증가하고 있다. 머신러닝 기법의 선정에는 주로 정확성이나 해석 가능성 등 기술적 요인이 주로 기준이 되어왔다. 그러나 머신러닝 채택의 성공은 개발부서, 사용부서, 리더십과 조직문화 등 경영관리 요인도 영향을 주기도 한다. 아쉽게도 기술적 요인과 경영관리적 요인이 함께 고려된 머신러닝 선정의 성공 요인을 이해하는 통합 연구가 거의 존재하지 않는다. 이에 본 논문의 목적은 기업 내 머신러닝 선정을 이해하기 위해 John Rice의 algorithm selection process model과 task-technology fit, 그리고 IS Success Model 이론을 결합한 기술-경영관리 통합 모형을제안하고 실증적 분석을 하는 것이다. 머신러닝을 도입한 국내 기업 240곳을 대상으로 설문 분석을 실시한 결과 알고리즘 품질과 데이터 품질이 높을수록 문제-알고리즘 적합성에 높게 영향을 주는 것으로 나타났으며, 문제-알고리즘 적합성은 조직의 생산성과 혁신성에도 유의한 영향을 미치는 것으로 검증되었다. 또한 외주화와 경영진 지원이 머신러닝 시스템 품질에 긍정적인 영향을 미치고, 데이터 중심 경영 및 동기화와 같은 조직문화 요인은 활용성과에 높은 영향을 미치는 것으로 확인되었다.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1025-1032
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• 2021

The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.

• Journal of Information Technology Applications and Management
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• 제22권1호
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• pp.37-60
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• 2015

As the dependence on information systems in enterprises has grown dramatically, the importance of implementing information systems in audit has been increased as well. However, there is a lact of about utilization of information system for audit process. Thus, this study is to investigate the factors that effect auditor's adopting Data Analytics to audit work. Through literature research and focus group interview, we added two factors that affect the behavioral intention to UTAUT model. We have selected performance expectancy, effort expectancy, social influence, facilitating conditions, anxiety, task fit, behavioral intention as variables and verified hypotheses based on survey questionnaires from auditors. As a result, it was found that performance expectations, social influence, task fit influenced the behavior intention. In Addition, we analyzed adding two variables, IT-related work experience and type of auditor as moderate variable. This study has an implication for companies to motivate implementation as well as activation of Data Analytics technique.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.99-102
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• 2003

While information technology has been advanced impressively, the issue of system underutilization has continued. Although TAM provides a theoretical and empirical model for explaining information technology acceptance, there exist some issues: lack of focusing task and organization. The present study examines the motivational factors influencing the beliefs about the system, in terms or the extended TTF (task-technology fit) model, to address the issues. For this purpose, an exploratory case study was conducted based on the data gathered from a Web-based survey. The present research proposes five propositions, based on the results of the case study and prior study findings, which can be used as a starting point fur future research.

• Journal of Information Technology Applications and Management
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• 제24권3호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제17권2호
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• pp.73-94
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• 2008

Knowledge is a fundamental assets, therefore, the ability to create, acquire, integrate, and share knowledge has emerged as a fundamental organizational capability(Sambamurthy and Subramani, 2005). This apaper reports the results of an empirical study investigating the factors of acceptance and the moderating role of resistance in Knowledge Management Systems(KMS). The research model is based on the theory of planned behavior(TPB) and technology acceptance model(TAM). It includes the perceived usefulness instead of attitude, subjective norm, perceived behavior control and intention of acceptance of KMS. Also, three external variables namely task-technology fit, organizational support, and perceived rewards are added. In the research model, all hypothrses of the baseline model and the moderating effects of resistance were found to be significant. The authors also of fred several implications based chi the findings.

• Journal of Information Technology Applications and Management
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• 제16권2호
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• pp.1-21
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• 2009

The balanced scorecard(BSC) framework is a tool for strategic decision making and task support that aims for efficiency in performance management and strategy execution. BSC evolved from an old performance management practice, which tended to be limited to a finance-only perspective, to a new system of corporate management looking at corporate tasks from a multi-dimensional, future-inclined value perspective. This form of BSC amounts to a framework capable of driving management innovation and renewing the ways in which companies conceive their strategy and perform their operations. Since BSC draws integrally on user participation, it can be expected that users' satisfaction with BSC systems is an important factor in systems' success or failure. However, previous studies of the BSC system have not yet considered it as a theoretical model, specifically examining BSC system and task characteristics. To date, only a few studies have put forward plans for the implementation and use of BSC systems, and these studies have the common limitation of failing to consider the circumstances or theoretical structure of the companies for which a BSC system is being proposed. This paper then begins to fill some of this gap by characterizing the BSC system from the perspective of contingency theories. Contingency theories can be particularly useful in the Korean context in exploring how different companies use the BSC system in ways determined by their unique environmental characteristics, which may also determine the performance factors behind the application of a company's particular BSC system. In order to provide concrete suggestions for implanting and using the BSC system from a contingency theory perspective, this study sets out to determine the relationships between the contingency variables affecting BSC system performance and BSC system property variables(in given cases) through an empirical analysis. The study takes into account the perspective from which contingency theory is to be applied in individual cases, sets contingency and BSC property variables with reference to the BSC system user's environment and BSC system's character, and frames initial hypotheses concerning corporate structure and environmental variables and BSC system performance variables with reference to previous studies. A survey was then conducted on users in Korean companies that have implemented the BSC system in order to verify the research model and understand results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.2952-2971
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• 2016

Outsourcing jobs to a public cloud is a cost-effective way to address the problem of satisfying the peak resource demand when the local cloud has insufficient resources. In this paper, we studied the management of deadline-constrained bag-of-tasks jobs on hybrid clouds. We presented a binary nonlinear programming (BNP) problem to model the hybrid cloud management which minimizes rent cost from the public cloud while completes the jobs within their respective deadlines. To solve this BNP problem in polynomial time, we proposed a heuristic algorithm. The main idea is assigning the task closest to its deadline to current core until the core cannot finish any task within its deadline. When there is no available core, the algorithm adds an available physical machine (PM) with most capacity or rents a new virtual machine (VM) with highest cost-performance ratio. As there may be a workload imbalance between/among cores on a PM/VM after task assigning, we propose a task reassigning algorithm to balance them. Extensive experimental results show that our heuristic algorithm saves 16.2%-76% rent cost and improves 47.3%-182.8% resource utilizations satisfying deadline constraints, compared with first fit decreasing algorithm, and that our task reassigning algorithm improves the makespan of tasks up to 47.6%.