• International Journal of Quality Innovation
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• v.9 no.2
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• pp.11-30
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• 2008

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit-based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure 'where we are now' and 'where to aim for next'. It prescribes a plan for translating 'vision' and 'strategy' into concrete action across four perspectives at different stages, depending on the business. These perspectives are 'financial', 'customer', 'internal processes' and 'learning and growth', each of which is connected by cause-and-effect relationships that reflect the firm's strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders' financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, sup plier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

• The Journal of Information Systems
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• v.25 no.3
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• pp.117-146
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• 2016

Purpose The purpose of this paper is to examine factors and mechanism inducing end users' faithful appropriation of information security behavior through the information security system. This study is also trying to find out the role of Employees' adaptive activities like learning and feedback seeking behavior for the information security in organizations. Design/methodology/approach An empirical study was carried out with a sample of employees working in the financial service company. Employees(n = 268) completed a written questionnaire. Structural equation modeling was used to analyze the data. Findings Results indicated that employees' learning activities and feedback seeking behavior fully mediated the effect of major information security factors toward end users' faithfulness of appropriation of information security systems. In order to increase the level of employees information security behavior in accordance with security guideline, organizations should facilitate interactions that support the feedback seeking process between employees on information security awareness and behavior. Additionally, organizations may reinforce these behaviors by periodical training and adopting bounty hunter systems.

• Smart Media Journal
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• v.11 no.3
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• pp.74-89
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• 2022

Due to the unique recipes and processes of each company, not only differences among the results of dyeing textile materials exist but they are also difficult to predict. This study attempted to develop a color prediction model based on deep learning to optimize color realization in the dyeing process. For this purpose, deep learning-based models such as multilayer perceptron, CNN and LSTM models were selected. Three forecasting models were trained by collecting a total of 376 data sets. The three predictive models were compared and analyzed using the cross-validation method. The mean of the CMC (2:1) color difference for the prediction results of the LSTM model was found to be the best.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.520-522
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• 1996

The Direct Drive Arm(DDA) is a SCARA typed direct drive manipulator with two degrees-of-freedom(DOF) using the direct drive motor of the NSK company. A controller system for the SCARA robot of DDA is designed using a DSP (TMS32Oc3O), which has the highest performance among the third DSP chips in the TI company. The design objective of the system is to implement dynamic control algorithms and neural control algorithms for real time learning which require a lot of calculations and large memory and have been tested only by simulations so far. The controller uses a DSP, a high speed D/A, 32-bit Counter and a large DRAM to implement advanced robot control algorithms.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.157-165
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• 2022

As the stock market is affected by various circumstances including economic and political variables, predicting the stock market is considered a still open problem. When combined with corporate financial statement data analysis, which is used as fundamental analysis, and technical analysis with a short data generation cycle, there is a problem that the time domain does not match. Our proposed method, LSTE the operating profit and market outlook of a petrochemical company and estimates the sales and operating profit of the company, it was possible to solve the above-mentioned problems and improve the accuracy of stock price prediction. Extensive experiments on real-world stock data show that our method outperforms the 8.58% relative improvements on average w.r.t. accuracy.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.351-363
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• 1998

This case study aims at investigating the factors which make venture firms successful. It analysedthree high-performance venture firms originated from the government-financed rese arch institute, the company and the university on the viewpoint of 'dynamic capability' theory. In this case study, technology integration capability and administrative innovation capability were identified as success factors of the three venture firms. The study also presented the role of the incubating organizations. Although incubating organizations supported technological and managerial resource-building of the entrepreneurs, there was not active interactive-learning between venture firms and incubating organizations after spin-off.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.119-122
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• 2005

Lego company created a set called Robotic Invention System as a kind of Mindstorm set. This system helps to understand the technology of both robot and programming language. It also improves creativeness by building and controlling the robot we make. This paper will introduce basic idea of controlling the RCX(Programmable Lego Block) in C language. Also, this paper will show different idea of teaching C language by using other types of robots.

• Journal of the Korean Society of Safety
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• v.15 no.4
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• pp.157-162
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• 2000

A performance measurement system for safety management was suggested with which performance of a company's safety activities can be expressed rationally, and analysis of impact with performance improvement. A key of the measurement system is performance index of the safety management activities, which consists of 3 perspectives; an external perspective, an internal perspective, and a innovation & learning perspective. Every perspective consists of 18 performance indices and each indices consist of activity unit a such planning, support, implementation, evaluation and review.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.4
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• pp.48-59
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• 2006

This Study focused on the process of technology transfer for the aircraft development program by the strategic alliance. Especially, this study showed how the learning firms absorb new technology from the foreign leading company. This case study concludes that teachability, asset specificity, relation capital with partner, information sharing system in organization and knowledge base are key factors for absorbing the new technology from the technology leading partner.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.202-207
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• 2023

In this paper, we discuss the design and implementation of a recommendation platform actually built in the field. We survey deep learning-based recommendation models that are effective in reflecting individual user characteristics. The recently proposed RNN-based sequential recommendation models reflect individual user characteristics well. The recommendation platform we proposed has an architecture that can collect, store, and process big data from a company's commercial services. Our recommendation platform provides service providers with intuitive tools to evaluate and apply timely optimized recommendation models. In the model evaluation we performed, RNN-based sequential recommendation models showed high scores.