• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.708-711
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• 2014

국민소득 증가와 고령화 사회에 진입하면서 다양한 의료소비가 의료서비스산업에 영향을 미치고 있으며, 이러한 사회 구조 및 환경변화에 따라 새로운 질병에 대한 대응 또한 절실히 요구되고 있다. 질병 예측을 위한 연구는 기후변화와 질병, 건강행태와 질병, 사회적 위치와 질병 등 질병에 영향을 주는 많은 요인들이 있다. 그러나 이러한 요인들을 통합, 분석 활용하는 데는 해결해야 할 문제들이 많이 있다. '정부3.0 공공데이터 개방 정책' 을 통해 질병에 관련된 자료가 공개 되면서 본 연구에서는 2010년부터 2012년까지의 질병에 영향을 주는 공공데이터를 연도별로 통합하여 지리정보시스템(GIS)기반 데이터베이스를 구축하고 활용 할 수 있게 하였다. 향후 기후변화에 민감한 질병을 찾기 위해 해당기관의 자료를 활용하여 월별로 데이터베이스를 구축하고, 이를 기반으로 의료서비스의 활성화 및 효율성에 기여 할 수 있다.

• Journal of Service Research and Studies
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• v.3 no.1
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• pp.1-7
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• 2013

We have to select business Item at various alternatives through BMO Evaluation Method. This study suggested selection method best business item using Visual Basic Program. Selection item of business item is technically power, capital strength, business administration capability, Maketings, Possible total sales, Goods of future growth, Expectations of competition goods, Creation of goods, and Management. Evaluation of each item value, add total values. It is important that business item selected well for adapted business. It should be able to decide business item using this study's program.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.204-212
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• 2022

In this paper, a contribution is presented covering the data set in improving and developing electronic services provided to citizens through e-government services based on business intelligence in government agencies in the Republic of Sudan. The Business Intelligence Concept Survey was conducted from the perceptions of information department employees in government agencies. The survey was conducted from April to June 2021 using questionnaires. The dataset contains responses about the factors that influence the use of business intelligence and the barriers and limitations to the use of business intelligence. A five-point Likert scale was used to analyze the quantitative data. The opportunities and challenges associated with it were also discussed and explored. As evidenced by the results, the information department employees agree that business intelligence improves the government decision-making process, which helps decision makers and decision-makers to find alternatives and opportunities that contribute to making more accurate and timely decisions. The results also indicate that creating the infrastructure for applying business intelligence in the e-government work model contributes to the successful implementation of business intelligence in Sudan.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.153-176
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• 1994

In this paper we introduce machine learning theory to business domains for business decisions. First, we review machine learning in general. We give a new look on a previous framework, version space approach, and we introduce PAC (probably approximately correct) learning paradigm which has been developed recently. We illustrate major results of PAC learning with business examples. And then, we give a theoretical analysis is decision tree induction algorithms by the frame work of PAC learning. Finally, we will discuss implications of learning theory toi business domains.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.87-90
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• 2001

One of the most important challenges facing companies in the age of internet business is the proper alignment customers needs with internet business system that allaws them to react rapidly and continuously. This paper proposes a methodo1ogy to align analyzing customer's requirements with implementing Internet business system The methodology consists of five Phases. It covers from customer analysis to Internet business system implementation, and each of the five phases has its own activities and outputs. A real- world case is proposed to illustrate the application of the methodology.

• Journal of Intelligence and Information Systems
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• v.1 no.1
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• pp.23-41
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• 1995

Business researchers have traditionally used statistical techniques for classification. In late 1980's, inductive learning started to be used for business classification. Recently, neural network began to be a, pp.ied for business classification. This study reviews the business classification studies, identifies a neural network a, pp.oach as the most powerful classification tool, and discusses the problems and issues in neural network a, pp.ications.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.146-147
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• 2010

This paper describes business on cloud computing service and the development of solution in the business Architecture in outsourced services environment for communication. Cloud computing is so popular and make people life easier. Business process outsourcing has become attractive to both large and small businesses with the advent of service oriented and specifically web service technology.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1128-1135
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• 2003

e-Transformation of an enterprise requires the collaboration of business processes to be suited to the business participants' purpose. To realize this collaboration, business processes should be implemented as components and the system developers could be able to reuse the components for their specific purpose. The first step of this collaboration is the discovery of exact components for business processes. A dilemma, however, is the fact that there are thousands or even millions of business processes which vary from one enterprise to another. Moreover, business processes could be decomposed into multiple levels of semantics and classified into several process areas. In general, discovery of exact business processes requires understanding of widely adopted classification schemes such as CBPC, OAGIS, or SCOR. To cope with this obstacle, business process metadata should be defined and managed regardless of specific classification schemes to support effective discovery and reuse of business processes components. In this paper, a methodology to discover business process components published in different semantic levels is proposed. The proposed methodology represents the metadata of business process components as topic maps stored in a registry and utilizes the powerful features of topic maps for process discovery. TM4J, an open-source topic map engine, is modified to support concept matching and navigation. With the implemented tool, application system developers can discover and publish the business process components effectively.

• Journal of Distribution Science
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• v.19 no.11
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• pp.5-15
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• 2021

Purpose: The current study aims at knowing and testing factors supporting business and how to distribute it for resilience business in new normal era. Factors Supporting business resilience will be seen in terms of entrepreneurial competence, technology utilization and government support for business resilience through entrepreneurial spirit as an intervening variable. Research design, data, and methodology: A constructed questionnaire in direct survey and interview was conducted with 97 respondents in South Sulawesi. Partial Least Square (PLS) analysis, was utilized to analyze and verify all the data. Results: This study indicated entrepreneurial competence and utilization of technology have a positive and significant effect on entrepreneurial spirit, while government support has no significant effect on entrepreneurial spirit. This study also indicated that entrepreneurial spirit has a significant effect on business resilience. Conclusion: To increase business resilience, it is very important to have entrepreneurial skills and mastery on utilization of technology. To anticipate future crises, entrepreneurial competencies must be evenly distributed both for business owners and for all members of the organization. To institutionalize crisis management in business, it is important for SMEs in Indonesia to develop an institutionalized Business Crisis Management.

• Journal of Distribution Science
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• v.21 no.3
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• pp.1-12
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• 2023

Purpose: This study discusses the creative industry phenomenon which has different business characteristics both from resources and production processes to distribution. The study intends to analyze the effect of entrepreneurial orientation and market orientation on business performance by using absorptive capacity as a mediator. Research design, data, and methodology: Using the quantitative method, data were collected from 97 respondents, who are managers or owners of creative industry businesses in Makassar City, South Sulawesi, Indonesia. Data analyzed used Partial Least Square - Structural Equation Model. Results: The results of this study reveal that entrepreneurial orientation has no significant effect on business performance and has indirectly a trough absorptive capacity. Market orientation has a significant effect on business performance and indirectly through absorptive capacity. Another result is that absorptive capacity has a significant effect on business performance. Conclusions: When absorptive capability stresses the assimilation and exploitation of knowledge and market intelligence that has been learned to boost business performance improvements, market orientation and entrepreneurial orientation offer knowledge and experience to business processes including the creation of value distribution in the creative industries.