• Journal of Korea Multimedia Society
• /
• v.17 no.2
• /
• pp.180-190
• /
• 2014

Social network services are increasingly being used in organizational settings to improve relationships among employees and enhance prospects for information exchange and cooperative work. Social Networking Service(SNS) has deeply penetrated organizational job settings, influencing multiple aspects of employee's life. This study is designed to explore the impact of SNS engagement on the job performance mediated as team cooperation and decision making quality effects. Data were collected from 146 employees who use organizational SNS in there company. Factor analysis and structural equation method are employed. Results from a survey accompanied by the substantial impacts of organizational employee's social networking engagement on social learning processes and outcomes. SNS engagement not only directly influences organizational employee's job performance, but also helps their team cooperation and decision making quality from others and adapt to organizational culture, both of which play prominent roles in improving their job performance.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.2
• /
• pp.121-127
• /
• 2015

A reduction of motor performance due to brain disorders can be screened by evaluating force tracking capabilities (FTCs). Existing studies have examined FTCs mainly using simple sinusoidal waves, of which repeated profiles have a critical limitation due to a learning effect in force tracking. The present study examined the effects of personal factors (age and gender) and sinusoidal wave factors (central force and complexity) on FTCs of healthy adults using composite sinusoidal wave profiles (CSWPs). FTCs were measured using Finger $Touch^{TM}$ for 30 seconds and quantified in terms of time within the target range (TWR, accuracy measure) and relative RMSE (RRMSE, variability measure). A total of 90 healthy adults in 20s to 70s with the equal gender ratio participated in the experiment consisting of combinations of 2 central force levels (6 N and 10 N) and 2 complexity levels (approximate entropy, ApEn = 0.03 and 0.06) of CSWPs. Significantly decreased FTCs (lower TWR and higher RRMSE) were found in aged adults, females, the low central force, and the high complexity. The detailed FTC decrements include a 43% reduced TWR and a 85% increased RRMSE of older adults in 70s as compared to those in 20s, a 17% reduced TWR and a 17% increased RRMSE of female as compared to those of male, a 30% reduced TWR and a 108% increased RRMSE at central force = 6N when compared to those at central force = 10N, and a 19% reduced TWR and a 30% increased RRMSE at ApEn = 0.06 as compared to those at ApEn = 0.03. The characteristics of FTCs for CSWPs can be of use in establishing an assessment protocol of motor performance for screening brain disorders.

• Journal of Bio-Environment Control
• /
• v.18 no.3
• /
• pp.266-272
• /
• 2009

This study was conducted survey on fruit and vegetables farms (FM), consulting companies (CC), and the consultants (CT) to investigation actual conditions and improvements in consulting part of horticulture. In results of survey on FM, FM chose 'necessity' on consulting for learning of production skill and 'field visit' in means of consulting. FM had a low trust on experience and knowledge of CT and answered that FM had not enough time for consulting by reason of over-work of CT, chose 'necessity' on crop registration system. In results of common questions among FM, CC, and CT, same answer of questions were term of contract (answer: yearly contract), means of consulting (answer: visit), consulting time per a visit (answer: $2{\sim}3$hours). Different answer between supplier (CC, CT) and consumer of consulting were decision method of contract price (answer: provisional contract$\neq$contents and the quality of consulting), percentage of government subsidy (answer: propriety$\neq$step-up).

• Korea Journal of Hospital Management
• /
• v.12 no.4
• /
• pp.96-118
• /
• 2007

This study were tried to suggest basic materials for making education and training plan, and members of organization were researched about thinking of education and training effectiveness and perceptible level. The subjects of this study were 762 hospital employee selected from ten of university hospitals in Seoul, Incheon, and Kyung Gi which are doing an education and training, and conducted a self-completion questionnaire. As a result of study and plan for raising the effectiveness were indicated following statements. Firstly, according to the general specific, training effectiveness was appeared similar. So, it requires suitable alternatives to make educational programs. Secondly, according to analysis of education and training necessity, achieving a goal for education and training have difference. it needs to be scientific analysis about necessity of education and training. Thirdly, when contents of education and training program are satisfied to educatee and fit for them, thinking of education and training effectiveness is higher. Therefore, establishing the goal of education training is concrete, realistic, and measurable for increasing learning motivation. Next to, thinking of education and training effectiveness is higher, when education and training person in charge taught to educatee very well, and they were satisfied about teaching. Consequently, they who nourishment of education and training person in charge within company have to improve their ability. And then, when educatee fit for teaching technique and satisfied about it, thinking of education and training effectiveness is higher. So, education and training were tried to find many of technique for fitting the desire of educatee. Sixth, the more education and training environment is satisfactory, the more educatee have high thinking of education and training effectiveness. CEO in hospitals have to think about many-sided solution for employee. Seventh, the more education and training have correct achieving organizational goal, the more educatee have high thinking of education and training effectiveness. Accordingly, hospital management should make up for education and training system. Then, thinking of education and training effectiveness is higher, when education and training measure an effect, and reflect to personnel management and assessment of an employee's performance. It should be the feedback for using information which is planning education and training. In conclusion, when result of measurement of education and training reflect to make a education and training plan, thinking of education and training effectiveness is higher, and result of measurement of education and training should reflect to make a education and training plan.

• Journal of Practical Engineering Education
• /
• v.12 no.1
• /
• pp.117-125
• /
• 2020

According to the government's smart factory promotion project for small and medium-sized enterprises, more than 10,000 intelligent factories are scheduled or already built in the country and the government-led goal is to nurture 100,000 skilled workers by 2022. Smart Factory introduces numerous types of education and training courses from the supplier's point of view, such as training institutions belonging to local governments, some universities, and public organizations, in the form of an efficient resource management system and ICT technology convergence in the automated manufacturing equipment. The lack of linkage with the NCS, the standard for training, seems to have room for rethinking and direction. Results of survey is provided for the family companies of K-University in the metropolitan area and Chungnam area, and analyzes job demands by identifying whether or not they want to introduce smart factories. Defining the practitioners who will serve as a window for the introduction of smart factory technology within the company, setting up a training goal in consideration of the career path, and including the level of training required competency units, optional competency units, and training time suitable for introducing and operating smart factories. Author would like to present an NCS-based qualification design plan.

• Archives of design research
• /
• v.15 no.1
• /
• pp.59-67
• /
• 2002

In accordance with the fast changing circumstance, universities are now reaching, beyond the education place of simple delivery of knowledge and exchange of information, to a place of developing a specialty program related with the region and industry to achieve a competitive edge in education. Through these academic-industrial collaboration program, special knowledge and human resources in the university are utilized in the society and it may contribute to the development of industry and breed of career people based upon the real job site can be achieved. In addition, through the practical operation of such developed program, university may contribute to the enhancement of the competitiveness of the corporation to the activation and acceleration of the regional economy and finally to the enhancement of competitiveness of national industry in international level. This study tries to develop 3 technical instruction and support program related with the legion and industry which may conform to the ideals of university and its goal of education and can provide a platform for the education that is closely related with the regional industry and real job site iud may cope actively with the upcoming knowledge society and fast changing regional circumstances. This study will make research and analyze needs of design support from the industry in order to develop a academic-industrial cooperative design support program for the furniture industry which conforms to the regional characteristic and feature and develop and present contents of program in three area of development of furniture design technology, build-up of furniture design information system and establishment of order based education system. The proposed program is supposed to be operated practically and effectively and contribute to the development of new product, to enhancement of company image and finally to the maximization of corporate profit. Also this study is epected to be used as an important material for establishment of order-based education system which confirms to the job site needs that may be analysed from feedback of product results and for practical learning.

• Journal of Technology Innovation
• /
• v.29 no.4
• /
• pp.1-30
• /
• 2021

Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.

• Management & Information Systems Review
• /
• v.38 no.2
• /
• pp.83-103
• /
• 2019

Supply chain management(SCM) requires efforts to search for methods for mutual growth with partner companies and to maintain continuous cooperative relations in order to gain a competitive edge. Because information competencies play a big role within the supply chain, it is essential to examine the relationship of information sharing and partnership quality that can affect information competency. In order to maintain continuous business relations between partner companies, it is necessary to identify the obstacles with partner companies resulting from the imbalance of power within a supply chain and to take on a strategic approach for effectively managing such obstacles. Therefore, there is a significant need to discuss strategic approach methods to enable the logic of mutual growth through the CSV that is worth learning from the partner company and the attributes of non-mediated power. CSV will be reviewed from various aspects as a new management paradigm in the future. This study aims at suggesting a continuous growth model for companies by solving social problems through the integration of CSV and the concept of non-mediated power to advance the information competencies of SCM. A total of 142 copies of survey forms for SCM Implementation Companies were using the PLS structural equation modeling for an analysis, and the following are the findings. Results of this study showed that both CSV and non-mediated power had significant impact on information sharing and partnership qualities, and the conclusion that it is possible to enhance information competency through information sharing and partnership quality. Based on this, this study proposes the implication that it is necessary to elevate awareness of CSV and non-mediated power as variables for the coexistence of SCM participating companies.

• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.316-330
• /
• 2019

This study examines the effect of goal orientation (GO) on employee' self-esteem and organizational citizenship behavior (OCB). Also, this paper investigates the mediating effect of employee' self-esteem and the moderating effect of leader's ethical leadership. The results of this study targeted 1,656 employees working at company and public institution were as follows: First, we found that learning goal orientation (LGO) and performance prove goal orientation (PPGO) had a positive impact on employee' self-esteem. But performance avoid goal orientation (PAGO) was not directly related to self-esteem. Second, LGO and PPGO had a positive effect on employee' OCB. But PAGO was not related to OCB. Third, the mediating role of self-esteem in the relationship between GO variables (LGO, PPGO) and OCB was statistically significant. Finally, the interaction term of employee' GO (LGO, PPGO) and leader's ethical leadership was not related to OCB, whereas the positive link between PAGO and OCB was stronger when leader's ethical leadership was high. In particular, this study presented with implications for future research, limitations of this study.

• The Korean Journal of Applied Statistics
• /
• v.35 no.3
• /
• pp.407-419
• /
• 2022

The semiconductor fabrication process is complex and time-consuming. There are sometimes errors in the process, which results in defective die on the wafer bin map (WBM). We can detect the faulty WBM by finding some patterns caused by dies. When one manually seeks the failure on WBM, it takes a long time due to the enormous number of WBMs. We suggest a two-step approach to discover the probable pattern on the WBMs in this paper. The first step is to separate the normal WBMs from the defective WBMs. We adapt a hierarchical clustering for de-noising, which nicely performs this work by wisely tuning the number of minimum points and the cutting height. Once declared as a faulty WBM, then it moves to the next step. In the second step, we classify the patterns among the defective WBMs. For this purpose, we extract features from the WBM. Then machine learning algorithm classifies the pattern. We use a real WBM data set (WM-811K) released by Taiwan semiconductor manufacturing company.