• 통상정보연구
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• 제12권2호
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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.

• 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%.

• 디지털융복합연구
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• 제17권7호
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• pp.369-376
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• 2019

본 연구에서는 기록종목과 대인종목의 경쟁적 운동선수를 과업지향 동기분위기와 자아지향 동기분위기가 완벽주의성향에 미치는 영향을 분석함으로써, 최적의 운동수행능력을 발휘할 수 있는 기초자료를 제공하고자 하였다. 대한민국 국가대표 선수촌에서 훈련 중인 엘리트 성인선수 196명을 대상으로 인구통계학적 특성과 완벽주의성향 및 동기분위기에 대한 설문조사를 실시하였고, 기록종목과 대인종목으로 분류하여 종목에 따른 인구통계학적 특성과 완벽주의성향, 동기분위기의 차이를 확인하기 위해 교차검증 또는 독립변인 t-검증을 실시하였으며, 구조방정식 모형분석을 통해 가설검증 및 모형적합도를 확인하였다. 그 결과, 완벽주의성향과 과업지향 및 자아지향 동기분위기 모두 대인종목 선수가 기록종목 선수보다 강한 것으로 확인되었고, 기록종목 운동선수의 경우 과제지향 동기분위기와 자아지향 동기분위기 모두 완벽주의성향에 영향을 미치는 것으로 확인되었으며 과제지향보다 자아지향 동기분위기가 더 큰 영향을 미치는 것으로 나타났다. 대인종목 운동선수의 경우에는 자아지향 동기분위기만이 완벽주의성향에 영향을 미치는 것으로 확인되었으나, 두 연구모형 모두 나쁜 적합도를 보였다.

• 전자공학회논문지CI
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• 제40권6호
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• pp.9-21
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• 2003

본 논문에서는 메쉬 구조 다중컴퓨터 시스템의 성능을 향상시킬 수 있는 새로운 서브메쉬 할당방법을 제안한다. 이 할당방법의 특징은 가용 서브메쉬의 탐색시간과 외적단편화로 인한 서브메쉬의 할당지연을 최소화함으로써 태스크의 대기시간을 줄이는 것이다. 이 할당방법은 가용 서브메쉬를 유형(정방형, 가로 직사각형, 세로 직사각형)에 따라 분류하고, 태스크와 동일한 유형별 가용 서브메쉬 리스트에서 최적의 서브메쉬를 찾아 할당함으로써 서브메 쉬 탐색시간을 줄인다. 또한 외적단편화로 인해 서브메쉬의 할당지연이 발생하면할당 서브메쉬에서 수행중인 태스크를 다른 가용 서브메쉬에 재배치하고, 프로세서 단편을 통합하여 할당함으로써 서브메쉬의 할당지연을 최소화한다. 시뮬레이션을 통하여 서브메쉬 탐색시간을 줄이는 방법보다 외적단편화로 인한 서브메쉬의 할당지연을 줄이는 방법이 태스크의 대기시간을 단축하는데 더 효과적임을 보인다. 그리고 제안한 할당방법이 시스템의 성능 향상 면에서 기존의 할당방법들보다 우수함을 보인다.

• 패션비즈니스
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• 제10권3호
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• pp.87-99
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• 2006

For comprehending the duties of fashion designer, Sharon(1989) has suggested to look at the procedure how the goods are being produced. The purpose of this research is to identify the task of domestic fashion designer by comparing and analyzing one's work range and performing level in the fashion merchandising process according to the brand types which one is involved in. The preliminary research for the questionnaire was conducted with 5 chief designers of woman's apparel manufactures in Seoul. They were asked to judge if designer's tasks fit to their carry-out operations in the pre-fixed questionnaire which had been done based on preliminary researches and literatures related with fashion merchandising process. The contents of research questionnaire are 11 questions to understand the general characteristics of companies and the participated subjects, and 42 questions to understand the designers' operations. For the selection of NB, among 503 domestic female apparel brands that were in 'Korean Textile Fashion yearbook (2002-2003), the companies that were located in Seoul and possible for cooperation by researcher's personal relationship were selected. For DB, cooperation was requested for brands that were located in Seoul among the 137 brands that participates on Domestic Collection. For GB, 50 stores were selected at random or by personal relationship among 32 GB shops such as Freya Town, Doosan Tower, New Zone, and so on. Total 300 questionnaire distributed to the designers, 192 copies were used for final data analysis. For data analysis, descriptive statistics and ANOVA, Sceffe test were used using SPSS V. 11 1. The participated fashion designers operated 41 categories of suggested 42 categories in the fashion merchandising process. 2. The ranges and contents of tasks in the fashion merchandising process that fashion designers mainly carry-out are very different according to the brand types and showed much different level of task carry-out. Only in the categories of 'fashion trend information' and 'design ideation', all three brand type showed the highest level of task performance. And the design related tasks presented common higher level of performance than the other tasks in all brand types. In order to comprehend the operation of fashion designer, various approaching methods are required according to various apparel manufactures' characteristics.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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• pp.600-602
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• 1997

In this study, a hybrid neural net consisting of an Adaptive LVQ(ALVQ) algorithm and MLP is proposed to perform speaker identification task. ALVQ is a new learning procedure using adaptively feature vector sequence instead of only one feature vector in training codebooks initialized by LBG algorithm and the optimization criterion of this method is consistent with the speaker classification decision rule. ALVQ aims at providing a compressed, geometrically consistent data representation. It is fit to cover irregular data distributions and computes the distance of the input vector sequence from its nodes. On the other hand, MLP aim at a data representation to fit to discriminate patterns belonging to different classes. It has been shown that MLP nets can approximate Bayesian "optimal" classifiers with high precision, and their output values can be related a-posteriori class probabilities. The different characteristics of these neural models make it possible to devise hybrid neural net systems, consisting of classification modules based on these two different philosophies. The proposed method is compared with LBG algorithm, LVQ algorithm and MLP for performance.

• 경영과학
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• 제32권4호
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• pp.135-153
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• 2015

In this paper, we intend to understand distinguishable SNS technology contributions for B2C commerce. In order to theorize this, we draw upon Technology-to-Performance chain (TPC) theory to develop the model that could explain how the technology value of the SNS could be realizable. For the purpose of capturing SNS technology effect to B2C channel effectiveness, on the basis of TPC theory, personal productivity is selected as a performance variable instead of satisfaction from SNS usage. Accordingly, as the antecedents of personal productivity, two variables of locatability and timeliness are extracted to reflect Task-technology-fit (TTF) dimension of performance precursors. For the utilization dimension of TPC framework, convenience and recreation tendency of the personal traits in shopping are included as the precursors of SNS utilization in the sense of reflecting utilitarian and hedonic value of SNS adoption. Empirical validation is conducted with reference to promotion and sales event on Facebook, which is chosen as the typical SNS based B2C commerce scenario. The data analysis result provide useful insights to further investigate the firm's SNS usage potentials for business applications.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.225-237
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• 2021

The current study aims to classify what determines entrepreneurial leadership among small and medium enterprises (SMEs) in the Saudi Arabian context. It also attempted to recognize the role played by entrepreneurial leadership by supporting SMEs in the nation's sustainable economic growth. The study is based on a primary survey administered among SMEs in the Riyadh region of Saudi Arabia. Overall, 152 responses were collected. However, after data cleaning, only 107 were found to be fit for final analysis. Structural Equation Modelling using SmartPLS® Software was applied for analysis. The findings emerged from the study immensely concluded that entrepreneurial leadership is an essential instrument for managers/owners of the SMEs sector who aim to improve the efficiency of tasks and contextual performance in Saudi Arabia. The study came across that "ability to absorb uncertainty," "ability to build commitment," "the ability to frame the Challenge," "the ability of path-clearing," and "ability to specify limits," are the five constructs that help frame the entrepreneurial leadership in the Saudi context. The study suggests that leadership trainers, SME policymakers must focus on precisely these skills to inculcate the ability of entrepreneurial leadership among Saudi entrepreneurs, SMEs owners, and managers.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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• pp.196-197
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• 2014

Low carbon construction is an important operation management goal such as cost, time, and quality in construction community. This paper introduces a system which measures the variability of carbon dioxide amounts. First, this system allows creating construction operation models of which the level of detail is breakdown into the work task level. Second, the system implements sensitivity analysis along with a ranges of resources that are allocated in an operation model. It facilitates to find the optimal resource combination using the operation performances such as the amount of emissions, operation completion time, and cost. Lastly, it identifies the best fit probability distribution functions of performance criteria given a certain resource combination. It allows project manager to query the percentages to complete the operation within a limitation specified by the system users.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2006년도 추계학술대회
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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.