• 품질경영학회지
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• 제44권3호
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• pp.639-648
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• 2016

Purpose: Existing precedent studies include success factors of individual management innovation activities constantly. However, those studies have limitations about the common key success factors of individual management innovation activities. Methods: For this study, we investigate the key success factors using literature research of the most typical management innovation activities adopted and implemented by many companies in Korea, such as 6sigma, TQM, Lean 6sigma, ERP, TPM, BPR, Project Management, System Engineering. Factors emerging repeatedly was combined into common factors and inherent factors that are necessary for the success of individual management innovation activities are designated to essential factors. Results: 'Essential factors for Six Sigma' consist of 5 items. Black belt operating system, personnel management system linkage, the correct management of the data, perform improvement projects associated with financial performance financial result, linked to financial performance improvement project, project progress management. 'Essential factors of TQM' are arranged 4 items. Quality team's independence and role, goal-setting, Quality Information System, corporate's philosophy of quality first. 'Essential factors of Lean Six Sigma' are the selection of value stream which is based on the customer needs and the value creation and identify the project based on the selected value in the company. 'Essential factors of ERP' are investigated 6 items. Ongoing system maintenance and upgrades, the measurement and support of user satisfaction, the operating systems and the policies for the maintenance, IT infrastructure, change adaption condition monitoring, focusing on improving business performance. 'Essential factors for TPM' are arranged 4 items. Motivated and energetic Bottom-Up, CEO's recognition of the importance facility management, long-term perspective of necessity and ongoing patience. 'Essential factors for BPR' are the pursuit of change process and the staff's sense of crisis management. 'Essential factors for Project Management' are the strategy that reduce the risk management skills through risk management and the understanding and organized management for the project participant's needs. 'Essential factors for System Engineering' consist of 2 items. The first is the design for the best balanced system with pre-analysis about the compromise the cost, schedule and the performance. The second is the analysis of large problem into small problems which can solved. We have found the solution considering components of the interface through the systematic perspective. Conclusion: Common factors and essential factors presented in this study will properly help to introduce the individual management innovation activities for the each business sector and implement management innovation. After this study, new literature research that reflect new studies should accomplish steadily.

• 한국산학기술학회논문지
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• 제20권8호
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• pp.207-215
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• 2019

본 연구는 농협조직의 핵심성공요인을 도출하기 위해 지역농협의 사업부들을 대상으로 상대적으로 성과가 높은 사업부와 상대적으로 성과가 낮은 사업부로 분류한 후, 이들 간에 환경의 안정성, 자원의 보유량, 자원의 유연성, 차별화 전략, 저원가 전략의 차이가 있는지를 살펴보았다. 분석결과에 따르면 고성과 사업부는 저성과 사업부에 비해 자원의 보유량, 자원의 유연성, 차별화 전략의 추구정도, 저원가 전략의 추구정도에 있어 우위를 가지는 것으로 확인되었으나, 환경의 안정성은 고성과 사업부와 저성과 사업부 간에 차이가 없는 것으로 나타났다. 이를 통해 자원속성 및 전략속성으로 대표되는 조직의 내적요인이 핵심성공요인으로서 경영성과에 중요한 영향을 미치는 반면, 환경속성으로 대표되는 조직의 외적요인은 핵심성공요인으로 작용하기에는 한계가 있다는 결론에 도달하였다. 특히 고성과 사업부와 저성과 사업부 간에 가장 큰 차이를 발생시키는 요인은 자원의 유연성으로서, 경쟁자에 비해 자원과 규모 면에서 불리한 위치에서 경쟁하는 경우에는 다양한 영역에서 활용될 수 있는 유연한 자원의 확보가 핵심적인 성공요인임을 확인할 수 있었다. 본 연구는 실증분석에 근거하여 농협조직의 핵심성공요인을 도출했다는 점에서 의의를 가진다.

• 산업경영시스템학회지
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• 제39권2호
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• 한국산업정보학회논문지
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• 제19권4호
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• pp.119-131
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• 2014

This study discusses the results of an empirical study carried out to illustrate the key issues that need to be addressed to ensure accounting information quality (AIQ). The study also focuses on the factors of trust and risk as they impact the intention to use accounting information from accounting information systems(AIS). The factors that might impact on accounting information quality have been summarized from the existing literature on previous studies in this area. This study proposes a research model for key issues that have an impact on accounting information quality based on the literature. I use the empirical results of this study to discuss the key components of the research model.

• 품질경영학회지
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• 제39권1호
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• pp.45-56
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• 2011

The purpose of this research is to find key factors to invigorate customer satisfaction management from TQM perspective. Consequently, the results show that CS leadership has an effect on team competency, CS evaluation and feedback, and customer information system positively. Team competency and CS evaluation and feedback take positive effects on improving activities for customer focus. Improving activities for customer focus takes positive effects on result of customer satisfaction significantly.

• 대한산업공학회지
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• 제24권4호
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• pp.529-537
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• 1998

Appropriate performance evaluation is a key successful factor for continuous improvement and systematic management support in the implementation of quality management. This research deals with the development of a computer support system for performance evaluation of quality management and its application to a real world problem. It, first, investigates existing performance evaluation methods and classifies them into three styles. A number of key factors for designing computer support systems are then elicited by analyzing the characteristics of the existing methods in terms of the requirements needed for a successful evaluation tool. The computer support system is designed by incorporating the key factors in the system design process and it is implemented as a network version. Finally, a case study is performed in order to verify the proposed support system. The pros and cons of the system are also discussed.

• Asian Pacific Journal of Cancer Prevention
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• 제15권17호
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• pp.7327-7331
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• 2014

Background: We had previously showed that the neutrophil lymphocyte ratio (NLR), ${\gamma}$-glutamyl transpeptidase (GGT) and carcinoembryonic antigen (CEA) are prognostic factors for metastatic colorectal cancer (mCRC) patients. In this study we developed a prognostic model based on these three indices. Materials and Methods: A total of 243 patients who were initially diagnosed as mCRC between 2005 and 2010 in the Sun Yat-sen University Cancer Center were studied. The endpoint was overall survival (OS). Results: NLR>3, elevated GGT and elevated CEA were confirmed as independent risk factors which could predict poor prognosis. Patients could be divided into three groups according to the number of risk factors they had. Those with two or three were defined as the high risk group, individuals with one risk factor as the modest risk group and patients without risk factor as the low risk group. The OS values for these three groups were 16.2 months (2.80~68.8), 24.2 months (4.07~79.0), and 37.2 months (12.6~87.8), respectively (p<0.001). Conclusions: We developed a simple but useful model based on NLR, GGT and CEA to provide prognostic information to clinical practice in highly selected mCRC patients. Further prospective and multi-center studies are warranted to test our model.

• Journal of Electrical Engineering and Technology
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• 제10권2호
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• pp.699-707
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• 2015

Although digit character recognition has got a significant improvement in recent years, it is still challenging to achieve satisfied result if the data contains an amount of distracting factors. This paper proposes a novel digit character recognition approach using a multi-layer hierarchical model, Hybrid Restricted Boltzmann Machines (HRBMs), which allows the learning architecture to be robust to background distracting factors. The insight behind the proposed model is that useful high-level features appear more frequently than distracting factors during learning, thus the high-level features can be decompose into hybrid hierarchical structures by using only small label information. In order to extract robust and compact features, a stochastic 0-1 layer is employed, which enables the model's hidden nodes to independently capture the useful character features during training. Experiments on the variations of Mixed National Institute of Standards and Technology (MNIST) dataset show that improvements of the multi-layer hierarchical model can be achieved by the proposed method. Finally, the paper shows the proposed technique which is used in a real-world application, where it is able to identify digit characters under various complex background images.

• Geomechanics and Engineering
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• 제11권3호
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• pp.361-372
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• 2016

The soil-concrete interface shear strength, although has been extensively studied, is still difficult to predict as a result of the dependence on many factors such as normal stresses, surface roughness, particle sizes, moisture contents, dilation angles of soils, etc. In this study, a well-known rigorous statistical learning approach, namely the least squares support vector machine (LS-SVM) realized in a ubiquitous spreadsheet platform is firstly used in estimating the soil-structure interface shear strength. Instead of studying the complicated mechanism, LS-SVM enables to explore the possible link between the fundamental factors and the interface shear strengths, via a sophisticated statistic approach. As a preliminary investigation, the authors study the expansive soils that are found extensively in most countries. To reduce the complexity, three major influential factors, e.g., initial moisture contents, initial dry densities and normal stresses of soils are taken into account in developing the LS-SVM models for the soil-concrete interface shear strengths. The predicted results by LS-SVM show reasonably good agreement with experimental data from direct shear tests.

• 한국도로학회논문집
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• 제19권2호
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• pp.167-174
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• 2017

PURPOSES: This study aims to analyze the impact of the implementation of a school zone traffic safety improvement project on the number of accidents involving children in these zones. METHODS : To analyze the correlation between school zone traffic safety features of roads in the zone and the number of accidents involving children, we developed an occurrence probability model of traffic accidents involving children by using a binary logistic regression model with SPSS 23.0 software. Two separate models were developed for two zones: interior block and arterial road. RESULTS :The model depicted that in the case of the interior block, shorter sidewalk width, speed bump, and an elevated crosswalk were key factors affecting the occurrence of accidents involving children. In the case of arterial roads exceeding a width of 12 m, the speed limit, roadside barriers, and red paving of road surfaces were found to be the key factors. CONCLUSIONS:The results of this study can serve as the elementary research data to help improve the effectiveness of school zone traffic safety improvement projects and school zone road repair projects in future.