• Journal of Korean Clinical Nursing Research
• /
• v.23 no.2
• /
• pp.189-201
• /
• 2017

Purpose: The aim of this study was to develop the nursing management core task and competency matrix for hospital unit managers. The perceived level of importance and performance of identified core competencies by unit managers were also investigated. Methods: Literature review and expert survey identified nursing management core task and competencies. Subsequently, the core task and competency matrix was developed and validated by expert panel. A survey of 196 nurse managers from 3 cities identified perceived importance and performance of core competiences. Results: Thirty-eight nursing management core task and thirty-seven nursing management core competencies were identified comprising five categories; Clinical practice knowledge, Evidence-based practice, Employee development, Strategic planning and Initiative. Based on the core task and competencies, the task and competency matrix for unit managers was developed. In the analysis of importance and performance of core competencies, the mean score of importance ($3.50{\pm}0.30$) was higher than the mean score of performance ($3.03{\pm}0.34$). Conclusion: The development of core task and competencies for unit managers in hospitals provides a guide for the development and evaluation of programs designed to increase competence of unit managers.

• Journal of Information Processing Systems
• /
• v.14 no.1
• /
• pp.129-139
• /
• 2018

The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2001.10a
• /
• pp.187-192
• /
• 2001

In this paper, a practical method to generate task strategies applicable to charmfulness and high-precision assembly, is proposed. The difficulties in devising reliable assembly strategies result form various forms of uncertainty such as imperfect knowledge on the parts being assembled and functional limitations of the assembly devices. In approach to cope with these problems, the robot is provided with the capability of learning the corrective motion in response to the force signal through iterative task execution. The strategy is realized by adopting a learning algorithm and represented in a binary tree type database. To verify the effectiveness of the proposed algorithm, a series of simulations and experiments are carried out under assimilated real production environments. The results show that the sensory signal-to-robot action mapping can be acquired effectively and, consequently, the assembly task can be performed successfully.

• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.38 no.9
• /
• pp.740-752
• /
• 1989

Many works have been reported in various fields on the subject of controlling a robot with high-level robot languages. This paper presents one such effort and explains the development of an automatic robot programming system which utilizes the concept of the task level language. This system is expected to act as an intelligent supporting tool in robot programming and be put into practical use. Emphasis is placed on the role of the programming system as a tool that generates the executable robot program according to the user specified tasks. Several task level commands are used in the developed system, and the resulting inflexibility is complemented by the motion level commands of the motion level robot languages. Thus, the advantages of both task and motion level languages are utilized, and no knowledge of specific language grammer is needed even when using motion level commands. To increase the usability of the developed system, various methods are provided for supplementing the programming system using taught data.

• Journal of the Ergonomics Society of Korea
• /
• v.7 no.1
• /
• pp.31-37
• /
• 1988

This paper designs, in the teleoperation task, the world coordinate system by the functional analysis of each of the robot joint so that the human operator performs easily the task. Also, it constructs the heuristic rules of the equal motion line coordinates for the position and the posture control of the robot within the knowledge base so that the robot hand reaches-possibly in any position of the robot's work space. As shown in the result of the experiments. the coordinate reading is easy because the work station is displayed to the high resolution by using the superimposer of the motion analysing computer system. Also. the task burden of the human operator reduces and the error recovery time reduces because the coordinates of the object is obtained just by touch using the digitizer.

• The Journal of Information Systems
• /
• v.17 no.2
• /
• pp.73-94
• /
• 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 the Korean Home Economics Association
• /
• v.41 no.5
• /
• pp.41-58
• /
• 2003

The purpose of this study is to develop and evaluate a social competence enrichment program for institutionalized children in early childhood. The program was developed to enhance institutionalized children's social competence. The program consists of sixteen 30-minute sessions. 19 institutionalized children (11 boys and 8 girls) participated in this program. The effect of this program was evaluated by institutionalized preschool children's emotional knowledge and interpersonal problem solving strategy. Assessment of emotional knowledge consists of identification and situation task. Interpersonal problem solving strategy includes forceful, prosocial, and manipulative strategy. Results showed that there was a significant experimental effect for emotional knowledge. Experimental children showed higher scores of emotional knowledge than control children. Also, there was a significant experimental effect for prosocial and forceful strategy. Experimental children showed higher ratio of prosocial strategy and lower ratio of forceful strategy than control children. The results of program evaluation revealed that this program was helpful for promoting institutionalized children's social competence.

• Proceedings of the KSME Conference
• /
• 2001.06c
• /
• pp.357-360
• /
• 2001

Design Engineering Group, LG Production engineering Research Center has been developing The Integrated Design Environment enabling engineering design task with ease, speedy and accurate for several years targeting the design departments in LG Electronics. $ezDesign^{(R)}$ System is consisted by Engineering Database Management, Engineering Knowledge Management, 3D Design Application, Design Evaluation Method and Project Management. Engineering Database Management manage the design information effectively. Engineering Knowledge Management takes control of design knowledge from design engineering activity systematically. It is possible for the engineering designer to utilized 3D CAD easily by 3D Design Application. Design Evaluation Method can evaluate several design alternatives synthetically. In Project management System, Designer can simulate the project schedule and cost. In this report, We will introduce how design process can be innovated by way of $ezDesign^{(R)}$ System.

• Journal of Technology Innovation
• /
• v.9 no.2
• /
• pp.17-33
• /
• 2001

In the knowledge-based economy, technological knowledge (TK) is reckoned key subject of knowledge management. Despite growing recognition, it has long been considered an intractable task to develop precise measures of TK and, as a remedy, a number of R&D-related proxy indicators have been employed. Although voluminous previous research has examined the structure and process of technological innovation by using proxy indicators, the inquiry into the relationship among respective indicators has remained unexplored. In this research, we take three most frequent proxy indicators of TK, R&D human resources, R&D stock, and patents, and investigate the correlation among respective measures. In addition, the dynamic pattern of time lag between technological input and output is also analyzed.

• Knowledge Management Research
• /
• v.16 no.1
• /
• pp.143-170
• /
• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.