• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.1-13
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• 2020

This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the influence to which these sustainable capabilities impact the banks' environmental and financial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The findings indicate that big data analytics strategies have an impact on internal processes and banks' sustainable and financial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efficiency and sustainability goals. Moreover, our results confirm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks' environmental and financial performance, which confirms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased financial performance.

• Journal of the Korean Operations Research and Management Science Society
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• 제40권1호
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• pp.57-73
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• 2015

While many previous studies investigated the effect of operations performance on financial performance, most studies considered only a few performance indicators and ignored the characteristics of industries. Therefore, this study intends to analyze the effect of operations performance on financial performance, by selecting a rather comprehensive operations performance indicators from firms' financial data. In doing so, we used operating efficiency and supply chain performance indicators for operations performance and a firm's profitability and future value indicators for financial performance. For the analysis, we collected 544 firms' operations and financial performance data belonging to eight key industries from the 'Forbes Global 2000'. We first analysed the differences in operations and financial performance among high, medium and low supply chain performance groups based on the quantitative criteria of Gartner's 'Supply Chain Top 25' ranking procedure. Then we analysed the effect of operations performance indicators on financial performance for both entire industry and individual industries, using multiple regression. Based on the results, we provided practical insights into key operations performance indicators to focus on and manage in order to improve financial performance.

• Journal of the Korea Safety Management & Science
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• 제15권4호
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• pp.233-243
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• 2013

As companies were concerned with developing green logistics and environment, most logistics concerned functions like packaging, loading, storage, transportation and IT studies are active in study. Even if active in research studies, companies still recognized that logistics cost increases as green concepts are applied. For the efficient execution of green logistics management, it is absolutely necessary but difficult to build an optimal logistics system where each function is smoothly interacted through the proper integration and the link of various logistics functions and partners. This study aims to development of green logistics through integration of supply chain functions and partners. With this aim of study, case studies with analysis of embodiment, planning and operations for supply chain of companies are carried out.

• International Journal of Quality Innovation
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• 제4권1호
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• pp.175-190
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• 2003

This paper discusses the determinants of green practices and incorporates some empirical findings from a recent study in the petrochemical sector in the Republic of Trinidad and Tobago. The study was comprised of a survey and follow-up interviews with senior executives who participated in the survey. Of fourteen companies involved, the findings affirmed that the investigation of accidents, provision of an emergency response, employee training, decreasing the production of wastes, and pre-treating wastes before disposal should be stressed. Government requirement, the economic reasons and public pressures were the driving forces of green practices. The five most important determinants identified include performance evaluation, financial justification, impacts on company, management leadership and operations integration. Implementing environmental management systems as a feasible approach to green practices in the petrochemical sector was explored. The findings provide guidance that helps organisations to accommodate the determinants of green practices into achieving sustainable environmental goals.

• IE interfaces
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• 제16권spc호
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• pp.7-13
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• 2003

This paper is concerned with a six sigma green belt training program. Comparative studies of existing training programs for three major companies (Samsung Electronics Company, Hyundai Motor Company, and LG Chemical Ltd.) and two consulting firms (Korean Standards Association and Korea Management Association) are made. Based on the comparative studies, a new green belt training program is proposed. The main focus of this program is on manufacturing, specially on cost and waste reductions, yield improvement, and operations with opportunity to improve capacity without major capital expenditure. The green belts take up to 4 or 5 days of intensive, highly quantitative training, roughly corresponding to the five macro phases of the six sigma methodology: define, measure, analyze, improve, and control. The six sigma tool sets for each phase are also specified.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.22-43
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• 2017

It is urgently-needed to construct a green supply chain (GSC) from collection of used products through recycling of them to sales of products using the recycled parts. Besides, it is necessary to consider the uncertainty in product demand as a risk in a GSC. This study proposes the optimal operations for a GSC with a retailer and a manufacturer. A retailer pays an incentive for collection of used products from customers and sells a single type of products in a market. A manufacturer produces the products ordered by the retailer, using recyclable parts with acceptable quality and compensates the collection cost of used products as to the recycled parts. This paper discusses the following risk attitudes: risk-neutral attitude, risk-averse attitude, and risk-prone attitude. Using mean-variance analysis, the optimal decisions for product order quantity, collection incentive, and lower limit of quality level, in the decentralized GSC (DGSC) and the integrated GSC (IGSC) are made. DGSC optimizes the utility function of each member. IGSC does that of the whole system. The analysis numerically investigates how (i) risk attitude and (ii) quality of recyclable parts affect the optimal operations. Supply chain coordination between GSC members to shift IGSC from DGSC is discussed.

• Journal of Korean Society of Environmental Engineers
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• 제31권12호
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• pp.1051-1070
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• 2009

• Proceedings of the Korean Society for Applied Microbiology Conference
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• 한국미생물생명공학회 2000년도 Proceedings of 2000 KSAM International Symposium and Spring Meeting
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• pp.186-192
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• 2000

• Journal of the Korean Society for information Management
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• 제32권3호
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• pp.99-130
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• 2015

This study was conducted to develop and propose the evaluation indicators to evaluate the eco-friendliness of the library, when certified as the eco-friendly Green Libraries. To do this, we extracted the green library components through an analysis of the green library literatures and case studies, and surveyed the perceptions of the library staffs about the assessment factors. Finally, we developed the green library evaluation index with 11 evaluation areas, 31 evaluation items, and 135 evaluation indicators. The 11 evaluation areas are as follows; Land use and transportation, energy and environmental protection, materials and resources, water cycle management, maintenance management, ecological environment, the indoor environment, the library resources, the eco-education programs and campaigns, the staff and operations, and the computerization.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.909-916
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• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.