• Journal of Information Technology Applications and Management
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• v.25 no.1
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• pp.47-66
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• 2018

The development of IT is transforming from the way it has been working face-to-face in performing projects to the online collaboration method using web-based tools. Therefore, various online collaboration tools are being developed and commercialized, including 'Google Docs', which is called the online office. Using these online collaboration tools, users can share documents with other users and collaborate in real time. Therefore, in recent years, companies and educational institutions have been using online collaboration tools to carry out tasks and projects that require collaboration. Various factors can affect the project performance satisfaction through online collaboration tools. In this regard, it is necessary to confirm the factors affecting the satisfaction of the project performance. However, there is not enough empirical research on the satisfaction of the performance through the online collaboration tool. Therefore, this study will investigate the mechanism of project performance satisfaction through online collaboration tool considering the Individual characteristics of the project performing subject, the relationship characteristics between the project members, and the system characteristics of the collaboration tool.

• Health Policy and Management
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• v.24 no.3
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• pp.291-300
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• 2014

Background: The efficient knowledge management in hospital organization is generally known as the important activities relevant to employees' knowledge sharing behavior and work performance. This research examined factors affecting employees' knowledge sharing behavior and work performance in top 4 university hospitals. This study is based on individual factors such as incentives, reciprocity, behavioral control, and subjective norms. Also, there are organizational factors such as CEO support, learning climate, IT system, rewards system, and trust. Methods: Data was collected from employees who are working at 3 hospitals university in Seoul and 1 university hospital in Gyeonggi-Do through the self-administered questionnaires. A total of 779 questionnaires were analyzed by PASW SPSS ver. 18.0. (SPSS Inc., Chicago, IL, USA). Results: The significant variables affecting knowledge sharing behavior are behavioral control (in individual factor) and CEO, IT system, and trust (in organization factor). Also the significant variables affecting work performance are incentives, reciprocity, subjective norms, and behavioral control (in individual factor) and CEO support, IT system, reward system, and trust (in organization factor). Conclusion: The personality and organization characteristics factors is important to improve knowledge sharing behavior and work performance of hospital employees. Therefore, to make more efficient knowledge management is to build and system knowledge sharing culture, system, and leadership and to develop practical strategies.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.127-147
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• 2011

Business organizations today have sought management effectiveness and efficiency utilizing information technologies. In particular, small and medium-sized enterprises short of information resources tend to rely more on outsourcing for accomplishing their own information strategies. SaaS(Software as a Service) has recently become one of the powerful outsourcing alternatives. This study tries to identify the influence of the SaaS quality on the service performance and loyalty. A SaaS quality model is developed including tangibles, reliability, responsiveness, assurance, and empathy. Then they are hypothesized to have influence on the service performance defined as user satisfaction, individual performance, and organizational performance. Service performance is considered to have an impact on the loyalty to service. Findings from a survey to test hypotheses on the relationship among SaaS quality, performance and loyalty show these variables are significantly important to widespread adoption of SaaS.

• Architectural research
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• v.8 no.2
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• pp.11-16
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• 2006

The purpose of this study is to scrutinize the effect of office layouts and ambient office sounds on the performance of office workers involved with a proof-reading test (simple task). Twenty subjects, who were professional researchers and computer programmers, were from three different office layouts: 1) Nine subjects from a combined office type with open meeting places and closed individual offices; 2) five from an open office with rectangular individual workstations, and 3) six from an open office with triangular individual workstations. Architects and consultants working in the field of office have reported from interviews and their own observations that occupants' satisfaction differs as their office layouts vary although the sizes are the same. This finding leads to the hypothesis of this experiment. Proof-reading test results were obtained from three different office layouts (combined office type, rectangular and triangular individual workstations in open offices) under two different sound conditions (quiet background sound and ambient sound of their own workplace) for 10 minutes. The test analysis shows the mean test score of subjects from the triangular individual workstations in open offices is significantly different from the mean test scores of subjects from the combined office type and the rectangular individual workstations in open offices.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.44-49
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• 2001

This paper is concerned with development of a multi-attribute structured decision model. In this study, we used AHP(analytic hierarchy process) and fuzzy set ranking methodology to overcome the multi-attributes structured decision problems ; such as multi-objective, multi-criterion, and multi-attributes. We proposed a 2-step approach : 1) individual evaluation and 2) integration of individual evaluations. In the first step, we define the performance factors and construct ana]isis structure, and in the second step performance evaluation by individual evaluators, and in second step, the results of individual evaluations are integrate. Also we developed a systematic and practical computer program to solve the problems according to the proposed methods. The proposed approach was known to be effective through a set of sample problems.

• Journal of Korean Institute of Industrial Engineers
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• v.5 no.2
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• pp.57-69
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• 1979

This review focuses on the individual performance and productivity of researchers in the area of science and technology. The researchers in the paper are classified into individual inventors without organizational affiliation and researchers in the organization, which are distinguished by cosmopolitanic professionals and local institutionalists. The productivity of researchers is in general measured by different indicators or measurement scales such as: i) subjective evaluation of overall research performance, (ii) the number of published papers, reports and books, iii) the quality of research output (e.g. citation frequency), iv) originality of research ouput (e,g, patents), v) multiple measurement scales, etc. According to the literature based on empirical study, the productivity of individual reseachers is positively related to the degree of freedom, communication, diversity, dedication, and motivation and negatively related to the degree of similarity, and satisfaction. However, other factors such as creativity, age, supervisory behavior and group characteristics have shown irregular direction of correlation.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.201-219
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• 2014

This paper considers service deployment and priority optimization for multiple service-oriented applications sharing reusable services, which are deployed as multiple instances in the cloud. In order to handle variations in the workloads of the multiple applications, service instances of the individual reusable services are dynamically provisioned in the cloud. Also service priorities for each application in a particular reusable service are dynamically adjusted. In this paper, we propose an analytic performance model, based on a queueing network model, to predict the expected sojourn times of multiple service-oriented applications, given the number of service instances and priority disciplines in individual reusable services. We also propose a simple heuristic algorithm to search an optimal number of service instances in the cloud and service priority disciplines for each application in individual reusable services. A numerical example is also presented to demonstrate the applicability of the proposed performance model and algorithm to the proposed optimal decision problem.

• Journal of Electrical Engineering and Technology
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• v.11 no.4
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• pp.1042-1048
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• 2016

This paper presents a lateral displacement restoring force control for the independently rotating wheelsets (IRWs) of shallow-depth subway systems. In the case of the near surface transit, which has recently been introduced, sharp curved driving performance is required for the city center service. It is possible to decrease the curve radius and to improve the performance of the straight running with the individual torque control. Therefore, the individual torque control performance of the motor is the most important point of the near surface transit. This paper deals with a lateral displacement restoring force control for sharp curved driving. The validity and usefulness of the proposed control algorithm is verified by experimental results using a small-scale bogie system.

• Knowledge Management Research
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• v.14 no.2
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• pp.117-135
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• 2013

In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.35-42
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• 2022

This study divided employee performance factors into individual, organizational, and institutional factors, and empirically analyzed their relationship with performance evaluation results. Based on the final 417 samples, the results using the SPSS and AMOS are summarized as follows. Among the performance factors, job satisfaction and a fair performance system showed a significant positive (+) relationship with the individual performance evaluation results, and it was difficult to find a clear correlation with stable interpersonal relationships. Job satisfaction (β= 0.432, t= 7.375^***) had the greatest impact, followed by a fair performance system (β= 0.127, t= 2.406^*). This can be said to be the case where the cause of performance is satisfaction with the job and the recognition that the organization's performance system is fair. However, it was found that stable interpersonal relationships, that is, interpersonal relationships that have smooth relationships with other people and are accompanied by psychological stability, are not a performance factor. Based on the empirical analysis results, a discussion on performance factors, implications of this study, and future research directions are presented.