• Korean Management Science Review
• /
• v.27 no.1
• /
• pp.1-16
• /
• 2010

According to appearance of a new competitive factor, as 'Green', Green Logistics becomes the important evaluation factor for many firms in emerging competitive environment. Despite this importance, the recognition level of Korean firms on Green Logistics lags behind that of leading companies in developed countries. In addition, the literature studies and practical strategies for systematic management control plans are very insufficient. In this paper, we establish decision making framework of Green Logistics by using ANP(analytic network process). Specifically, we suggest at first the overall concepts and issues of Green Logistics through literature studies. Next, we derive 6 clusters and 21 components forming the strategic green logistics, and then we conduct surveys for pairwise comparison of experts on Green Logistics and compute relative weights of the clusters, components and altanatives considering the feedback structure. We expect that the results of this study will be very helpful for managers to make strategic decisions.

• Proceedings of the Korea Database Society Conference
• /
• 2002.10a
• /
• pp.544-558
• /
• 2002

High Quality Strategic Information: 과학적, 논리적인 경영계획 수립. 다양한 Assumption을 통한 Simulation 및 Forecast. Effective Decision Making Support: 적시성(Response time). Analysis/Reporting (중략)

• Asia pacific journal of information systems
• /
• v.9 no.4
• /
• pp.69-88
• /
• 1999

The purpose of this study is to determine whether the centralization of information technology activities and the organizational structures, especially the centralization of decision making and the complexity have any effects on the information systems performance. The strategic types, the formalization dimension of organizational structures, and the industrial characteristics, which might have impacts on the dependent variables were controlled. Information systems performance was measured by both user satisfaction and organizational performance. To achieve the research objective, a field study using the structured questionnaires was employed. Thirty large companies participated in this study. Multivariate regression analysis was used to analyze the data collected. Findings of this study are summarized as follows: The centralization of IT activities, the centralization of decision making, the complexity of organizational structure and the interaction effects among these independent variables all turned out to have statistically significant effects on the user satisfaction, while not on the organizational performance. The implication of these findings is that the IT structure must be determined in congruence with the organizational structures and vice versa. One weakness of this study is that the strategic type was not an independent variable but a controlled variable. Further study of using the strategic type as an independent variable with more sample corporations is to be encouraged.

• International Journal of Knowledge Content Development & Technology
• /
• v.14 no.3
• /
• pp.77-91
• /
• 2024

This article aims to comprehensively analyze the crucial role played by data analytics and business intelligence (BI) strategies in propelling digital transformation within diverse industries. Through an extensive literature review and examination of real-world case studies, the study employs a systematic analysis of scholarly works and industry reports. This approach provides a panoramic view of how organizations utilize data-driven insights for competitive advantages, improved customer experiences, and fostering innovation. The findings underscore the pivotal significance of data analytics and BI strategies in influencing strategic decision-making, enhancing operational efficiency, and ensuring long-term sustainability across various industries. The study stands out in its originality by offering a unique synthesis of insights derived from scholarly works and real-world case studies, contributing to a holistic understanding of the transformative impact of data analytics and BI on contemporary business practices. While the study provides valuable insights, limitations include the scope of available literature and case studies. The implications call for further research to explore emerging trends and evolving challenges in the dynamic landscape of data analytics and BI. The practical implications highlight the tangible benefits organizations can derive from integrating data analytics and BI strategies, emphasizing their role in shaping strategic decisions and fostering operational efficiency. In a broader context, the study delves into the social implications of the symbiotic relationship between data analytics, BI, and digital transformation. It explores how these strategies impact broader societal and economic aspects, influencing innovation and sustainability.

• Journal of Digital Convergence
• /
• v.18 no.4
• /
• pp.301-308
• /
• 2020

The purpose of this study is to describe the mediating effect of career decision level on the relationship between career decision self-efficacy and career preparation behavior of nursing students. The subjects of the study were data collected from 108 nursing students in 3rd and 4th grade and analyzed. The factors affecting career preparation behavior of nursing college students were career decision self-efficacy (β= .54, p<.001) and career decision level (β =.23, p=.009). Career decision-making levels were found to play a partial mediating role in the relationship between efficacy and career readiness behavior (Z=2.49, p=.006). The results of this study suggest that it is necessary to improve the career decision-making self-efficacy and the level of career decision-making for effective career preparation behavior, and it is necessary to develop strategic career guidance and program that reflects this.

• Journal of Korean Society for Quality Management
• /
• v.22 no.3
• /
• pp.66-84
• /
• 1994

The investment to advanced manufacturing techniques is essential to reinforcement of furture competitiveness. To make a decision for selecting an appropriate manufacturing facility is very important ; it is, however, rather difficult to get a precise evaluation through conventional cost analysis methods. The supreme decision-maker does not only take into consideration tangible cost attributes in decision-making ; he also takes into account such intangible attributes as strategic ones. This study combines Analytic Hierarchy Process and Simulation in order to graph the variations of weighted indices of alternatives for effective decision making when cost attributes are uncertain. A numerical example is illustrated to explain the basic mechanics of the proposed decision procedure.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.734-741
• /
• 2002

The importance of efficient Supply Chain Management is increasing in accordance with recent industrial environment, such as globalization of business, complexity and diversity of company's management structure, and variety of customer's demand. In a rapidly changed environment of business, quick and efficient decision making is the important matter to the survival of the company. The purpose of this study supports decision making for efficient supply chain management. In this study, we consider simultaneously and mutually reflecting the preference of each constituent (Supplier, Manufacturing plant, Distribution center, Customer) on supply chain network, and decide company's strategic choice and coordinated production/distribution models of company. The Analytical Hierarchy Process is used for decision making of qualitative and quantitative elements. We use the results of AHP as inputs and propose mathematical models thru Mixed Integer Programming.

• Journal of the Korea Safety Management & Science
• /
• v.8 no.3
• /
• pp.171-187
• /
• 2006

Modern management considers customer satisfaction as a baseline standard of performance and a possible standard of excellence for any business organization including the college. Quality function deployment(QFD) is a structured approach to seek out voice of customers, understanding their needs, and ensure that their needs are met. The strategy value proposed by Chien et al. combines importance, satisfaction, performance, and ability to enhance decision making effectiveness. But in their model, the correlation among the strategic alternatives isn't considered the decision chain and is therefore eliminated. This paper proposes how to calculate the new weight of columns to consider various strength levels of correlations matrix, representing the correlation among the strategic alternatives, using normalization procedure. The aim of this paper is to present and original customer satisfaction survey conducted in the college. Thus, this paper presents an original customer satisfaction survey in the college and provides to demonstrate the practical usage of the design model to compare this model with Chien's model.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.1
• /
• pp.249-258
• /
• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.3
• /
• pp.185-193
• /
• 2018

This paper aims to explore the risk governance framework and socially viable solutions, attempting to provide guidance for the decision making process. The key idea of this study start with overcoming the limitations of IRGC risk governance framework, which mainly focuses on a comprehensive framework for risk governance. This article has employed SWOT analysis as a methodology, which is a strategic planning technique used to help identifying the strengths, weaknesses, opportunities, and threats related to business competition or risk management. In this paper, socially viable solutions as an alternative plan place emphasis on the adoption of concern assessment through a concerns table. It is also proposed that scoping has to get introduced, with SWOT analysis in the process. The results of this paper support that multiple stakeholders have to participate in the process of identifying and framing risk and communicating with each other, considering the context. It should be noted that communities can become involved and take important parts in decision making process in various ways. It is recommended that engaging stakeholders to both risk assessment and risk management is material to dealing with risk in a socially viable way. It also implies that the community-based disaster management should be better prepared for the decision making process in socially viable solutions.