• 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.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.80-91
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• 2019

This study investigated the factors affecting the satisfaction and the continuous behavior intention of university students on MOOC. Adopting a questionnaire, the study collected data from 177 students enrolled in K-MOOC classes as an extracurriculum in the university in metropolitan area. Results indicated the following. First, the university students' satisfaction and continuous use intention on K-MOOC are higher during the semester than in vacation. Second, the perceived ease of use, usefulness, and task-technology fit influence the users'satisfaction on K-MOOC. Meanwhile, the perceived ease of use, task-technology, and user satisfaction likewise influence the users'continuous behavior intention. Hence, the study proposes that the subject matter on K-MOOC and the amount of educational content be made diversified, and the period of K-MOOC be made similar with that of the regular semester. The platform should also be stabilized, and the adequacy in mobile environment be improved. To further activate K-MOOC utilization in the university, the depth of contents and interaction between professors and students also need to be considered.

• The Journal of Information Systems
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• v.17 no.2
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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.

• Asia pacific journal of information systems
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• v.9 no.2
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• pp.99-115
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• 1999

Electronic Data Interchange (EDI) is an important part of interorganizational electronic commerce due to the strategic impact derived from its use. In order to ensure successful implementation of EDI, EDI controls must first be developed. Because they are implemented in an environmental context, the characteristics of organizational environments have a significant impact on EDI controls. The control strategy for the EDI system - formal, informal, and automated controls - should fit certain organizational environments. A research model has been developed to depict the moderating effects of six environmental variables including industry, organizational, and task characteristics on the relationships between controls and implementation. It is shown empirically that the relationships between EDI controls and implementation are indeed affected by these factors. The results can help management design formal, informal, and automated controls in view of their own environmental contexts.

• 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.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.58-61
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• 2002

In this paper, we present a new generalized k-Tree-based (CU/PE) allocation model to perform dynamic resource (CU/PE) allocation/deallocation decision for the reconfigurable MSIMD/MIMD multi-dimensional (k-D) mesh-connected architectures. Those reconfigurable multi-SIMD/MIMD systems allow dynamic modes of executing tasks, which are SIMD and MIMD. The MIMD task requires only the free sub-system; however the SIMD task needs not only the free sub-system but also the corresponding free CU. In our new k-Tree-based (CU/PE) allocation model, we introduce two best-fit heuristics for the CU allocation decision: 1) the CU depth first search (CU-DFS) in O(kN$_{f}$ ) time and 2) the CU adjacent search (CU-AS) in O(k2$^{k}$ ) time. By the simulation study, the system performance of these two CU allocation strategies was also investigated. Our simulation results showed that the CU-AS and CU-DFS strategies performed the same system performance when applied for the reconfigurable MSIMD/MIMD 2-D and 3-D mesh-connected architectures.

• Human Ecology Research
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• v.55 no.5
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• pp.555-566
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• 2017

This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.

• The Journal of Information Technology
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• v.7 no.3
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• pp.47-61
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• 2004

The emergence of the Internet as a tool for the business-to-consumer aspect of e-commerce has far reaching ramifications. Most importantly, it has created opportunities for businesses to reach out to consumers in a very direct was and create electronic markets. This study treats e-commerce as a technology adoption process and evaluates the suitability of popular adoption models. This research supports the use of the technology acceptance model to predict online shopping activity, both the intention to shop online and actual purchases. Also this research finds that the task-technology fit model is a valuable addition to the technology acceptance model for online shopping tasks.

• Korean Management Science Review
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• v.32 no.4
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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.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1889-1891
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• 2004

The differential white blood cell count plays an important role in the diagnosis of different diseases. It is a tedious task to count these classes of cell manually. An automatic counter using computer vision helps to perform this medical test rapidly and accurately. Most commercial-available automatic white blood cell analysis composed mainly 3 steps including segmentation, feature extraction and classification. In this paper we concentrate on the first step in automatic white-blood-cell analysis by proposing a segmentation scheme that utilizes a benefit of active contour. Specifically, the binary image is obtained by thresolding of the input blood smear image. The initial shape of active is then placed roughly inside the white blood cell and allowed to grow to fit the shape of individual white blood cell. The white blood cell is then separated using the extracted contour. The force that drives the active contour is the combination of gradient vector flow force and balloon force. Our purposed technique can handle very promising to separate the remaining red blood cells.