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The Strategy of the product quality optimization through the Six Sigma (Six Sigma를 통한 품질최적화 전략)

  • Joo Weon-Sig;Ha Dong-Sik
    • Management & Information Systems Review
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    • v.4
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    • pp.557-572
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    • 2000
  • Nowadays, after beginning of 21 centuries, owing to simplify market, the world is in the era of an influx of new paradigm that requires infinite competition. The manufacturing industries of Korea are in need of casting off high cost and low efficiency structure. The forfeiture of competition is resulted from the lost of level in quality of product. Today, the achievement of competitive product quality is coming from the following factors, that is., quality control, quality of service, marketing, human resources, finance, etc., together with process management. While Six Sigma, a newly introduced method to achieve process qualify outcome by sector of enterprise, is now being enjoyed a high reputation as a key device for competition by superiority enterprises in the United States, it has not been introduced sufficiently in the domestic enterprises yet. In our research, we, first of all, organized systematically the materials being released up to now. Furthermore, we looked over case studies of the American enterprises that apply Six Sigma strategy very successfully. Finally, we discussed the situation of domestic enterprises which are about to importing Six Sigma strategy as well as main causation of success by adopting it. While the enterprises approach Six Sigma strategy not in the way of on time and short term but in the way of long term, consistent renovation and persistent innovation we can assure that they will produce the highest quality and globally competitive products which are second to none.

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Deregulation and Rearrangement of the Government Role for the Railway Industry (철도산업육성을 위한 규제완화와 정부 정책에 관한 연구)

  • Lee, Wonhee;Kwon, Hyukjoon
    • Journal of the Korean Society for Railway
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    • v.17 no.6
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    • pp.452-456
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    • 2014
  • This article analyzes the new approach to regulation with regards to the railway industry and determines the government's new role. For this purpose, the regulations are categorized into three dimensions (economic, societal and administrative), following the criteria adopted by the Regulatory Reform Committee. Furthermore, these items are analyzed as compulsory vs. incentive, and prior vs. ex post, according to the managerial characteristics. As a result, some recommendations were derived: the economic regulations should be deregulated and the societal regulations should be modified in order to rationalize the criteria. From this perspective, the government's role needs to be repositioned in order to activate the railway industry.

A Study on National IT Planning based on EA Approach (국가정보화시행계획 업무의 EA적 접근)

  • Hong, Pilky;Kim, Daegwon;Lee, Seogjun
    • Journal of Information Technology and Architecture
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    • v.11 no.2
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    • pp.235-247
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    • 2014
  • The National IT Plan is formulated every 5 years in Korea. Each ministry formulates its own annual IT plans and budgets based on the National IT Plan. Presidential agenda, in addition to the Ministry plan usually come in the budgetary process. A budget view and an IT view are not always aligned consistently in the budgetary process. For more consensus and less conflict between the finance ministry and the IT ministry, it would be useful to have a common framework to examine and review the many IT plans submitted by many ministries. We offer an EA-based framework that considers various views and classifications on IT plans. This framework would make the National IT Planning more efficient and effective.

An Analysis of Big Data Structure Based on the Ecological Perspective (생태계 관점에서의 빅데이터 활성화를 위한 구조 연구)

  • Cho, Jiyeon;Kim, Taisiya;Park, Keon Chul;Lee, Bong Gyou
    • Journal of Information Technology Services
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    • v.11 no.4
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    • pp.277-294
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    • 2012
  • The purpose of this research is to analyze big data structure and various objects in big data industry based on ecological perspective. Big data is rapidly emerging as a highly valuable resource to secure competitiveness of enterprise and government. Accordingly, the main issues in big data are to find ways of creating economic value and solving various problems. However big data is not systematically organized, and hard to utilize as it constantly expands to related industry such as telecommunications, finance and manufacturing. Under this circumstance, it is crucial to understand range of big data industry and to which stakeholders are related. The ecological approach is useful to understand comprehensive industry structure. Therefore this study aims at confirming big data structure and finding issues from interaction among objects. Results of this study show main framework of big data ecosystem including relationship among object elements composing of the ecosystem. This study has significance as an initial study on big data ecosystem. The results of the study can be useful guidelines to the government for making systemized big data ecosystem and the entrepreneur who is considering launching big data business.

Determining the optimal number of cases to combine in a case-based reasoning system for eCRM

  • Hyunchul Ahn;Kim, Kyoung-jae;Ingoo Han
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.178-184
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    • 2003
  • Case-based reasoning (CBR) often shows significant promise for improving effectiveness of complex and unstructured decision making. Consequently, it has been applied to various problem-solving areas including manufacturing, finance and marketing. However, the design of appropriate case indexing and retrieval mechanisms to improve the performance of CBR is still challenging issue. Most of previous studies to improve the effectiveness for CBR have focused on the similarity function or optimization of case features and their weights. However, according to some of prior researches, finding the optimal k parameter for k-nearest neighbor (k-NN) is also crucial to improve the performance of CBR system. Nonetheless, there have been few attempts which have tried to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors to combine. This study applies the new model to the real-world case provided by an online shopping mall in Korea. Experimental results show that a GA-optimized k-NN approach outperforms other AI techniques for purchasing behavior forecasting.

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The Optimization of Bank Branches Efficiency by Means of Response Surface Method and Data Envelopment Analysis: A Case of Iran

  • Shadkam, Elham;Bijari, Mehdi
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.2
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    • pp.13-18
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    • 2015
  • In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.

Criteria for Supplier Selection in Textile and Apparel Industry : A Case Study in Vietnam

  • NONG, Nhu-Mai Thi;HO, Phong Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.2
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    • pp.213-221
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    • 2019
  • The study aims to investigate some criteria of supplier selection in the textile and apparel (T&A) sector in Vietnam. Most research on supplier selection criteria for T&A sector was mainly conducted based on the review of literature. Therefore, the purpose of this study is to explore these criteria based on a framework in which an integrated approach of qualitative and quantitative was employed. First, an in-depth interview was used to explore what supplier selection criteria T&A companies were utilized after the literature on supplier selection criteria had been reviewed. Next, a prequestionnaire was built and sent to some practitioners and experts for their revision. Then, a pilot survey of 31 T&A companies with numerous statistical tests was conducted to validate the questionnaire. Finally, an official study of 282 respondents was conducted to determine supplier selection criteria which are best suited for T&A companies through exploratory factor analysis. The findings of the study suggest that there are eight supplier selection criteria including Quality, Cost, Delivery, Service, Capability, Company's image, Relationship, and Sourcing country. Each criterion comprises certain sub-criteria to make the supplier selection criteria set more comprehensive. The findings will be a contribution to the selection process of T&A companies as they can utilize these criteria to select capable suppliers.

Global Corporate Citizenship: Cross-cultural Comparison of Best Practices in the Global Automotive Industry

  • Lee, Jung Wan;Tan, Wie Nie
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.1
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    • pp.261-271
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    • 2019
  • The study aims to investigate corporate social responsibility (CSR) best practices of the world automotive industry - Peugeot, BMW, Ford, Hyundai and Toyota among others - and recommend that they plan their business strategies and managerial responses accordingly. Based on the comparative research and case studies, this research finds that all five automobile manufacturers have taken very similar measures and actions in order to establish and maintain a high level of CSR practices. Sustainability was a core value in all five companies and served as a guiding principle in every aspect and approach of their business. This study finds that all five companies have CSR strategies in place to increase energy efficiency as well as reduce the usage and wastage of water in their production and plants. This research also finds that all companies monitor their suppliers and their own production process to ensure that they maintain their CSR standards. More impressively, this sustainable management practice is transferred along the companies' supply chain through education and training. Their suppliers and business partners are closely monitored to make sure that their high CSR standards are respected and followed. However, we find that there also are some differences in terms of their CSR deliveries and activities.

How Productive Are Life Insurance Institutions in Malaysia? A Malmquist Approach

  • Masud, Muhammad Mehedi;Rana, Md. Sohel;Mia, Md Aslam;Saifullah, Md. Khaled
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.1
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    • pp.241-248
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    • 2019
  • The purpose of this study is to investigate empirical evidences of productivity of life insurance institutions in Malaysia. Therefore, this study attempts to explore the productivity of the life insurance institutions in Malaysia. The overall findings show that the total factor productivity (TFP) has progressed by 2.5% per year during the study period from 2012 to 2016 in the Malaysian insurance industry. However, TFP change has declined from 2012 to 2015 and observed a negative growth in 2015-16 (3.3%). The highest productivity progress was documented during 2012-13 at a rate of 11.7% while the minimum productivity progress was during 2014-15 (only 0.2%). The results also indicate that the decomposition of TFP found that overall progress could mainly be attributed to technological change (TC). However, technical efficiency change (TEC) and pure technical efficiency change (PTE) have negative impact on TFP. The findings also show that most of the insurance companies have a steady growth. Therefore, this study will contribute new insights for the policy makers and insurance institutions to take appropriate steps in developing relevant policies for increasing productivity of insurance institutions in Malaysia.

Modes of Innovation and the National Systems of Innovation of the BRICS Economies

  • Scerri, Mario
    • STI Policy Review
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    • v.5 no.2
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    • pp.20-42
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    • 2014
  • The Brazil, Russia, India China and South Africa (BRICS) group has emerged as a collection of large economies which are outside the traditional groups of industrialised "first world" economies and which have altered the global distribution of economic power. The basis of their emergence is a combination of their size and growth rates, and the fact that they lie outside the established centres of global economic power. As such, they have "diversified" the power base of the global economic order. The question which is asked in this paper is whether the phenomenon of the BRICS goes beyond this to mark the start of a possible challenge to the neoliberal orthodoxy which emerged as the globally dominant policy paradigm since the collapse of the Soviet Union. This paper develops and uses a "modes of innovation" approach to explore the potential of the BRICS to constitute a structural rupture in the current globally dominant neoliberal mode of innovation. This question is important since, in the absence of this rupture, the remarkable development trajectory of the BRICS will serve to reinforce the legitimacy of the global orthodoxy. The paper first articulates the modes of innovation concept and then proceeds to locate the BRICS systems of innovation within the current globally dominant mode. On this basis it then provides an appraisal of the possible impact of the BRICS on the evolutionary path of the global system of innovation.