• The Journal of Information Systems
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• v.4
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• pp.181-209
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• 1995

As the effective use of information has gained greater attention over the decade, various conventional AI techniques have been applied to develop expert systems for business applications. Case-based reasoning (CBR) makes data more accessible by organizing it as a set of examples from past experience that can be generalized and applied to current problems. This paper illustrates basic concepts of CBR and addresses the system discussed in this paper can provide a basis for building more flexible and adaptable expert systems for business applications.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.129-144
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• 2004

CASE tools supporting component based development should include functions for modeling, project management, and supporting other phases activities of the development process. Functional requirements of CASE tools supporting component based development are proposed in this paper. Required functions are identified by analyzing the existing CBD CASE tool, and are categorized into modeling, project management, and supporting other phases activities.

• Journal of the Korean Regional Science Association
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• v.11 no.2
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• pp.63-86
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• 1995

One of the innovative and most promising approaches to new high-tech business formation from university is technology business incubators, which attempts to enhance small high-tech start-up firms' chances of survival. To date, there is few comprehensive effort to do a comparative study of technology business incubatiors between European Countries and U.S. to evaluate the impacts of them on regional development. With these consideration in mind this research anlayzed key findings of 6 case studies of university related Technology Business Incubators in the U.K., Germany, and U.S. to explore relationship of university to regional development. These included Cambridge Science Park(CSP) '||'&'||' West of Scotland Science Park in the U.K., Dortmund Technologiezentrum '||'&'||' Berlin Technologiezentrum, and Rensselaer Technology Development Center of the Georgia Institute of Technology in the U.S. The primary objective of this study was to advance our understanding of the impact and utility of technology business incubators and to get some policy implications for the future development in this area in Korea. Among the major question examined hear was "how do they contribute the overall economy of the communities in which they are located\ulcorner". The results of the case study about this question were very positive. The technology business incubators contributed to foster new high-tech small business formation from university, to facilitate the cooperation between university and industry and Incubator tenants created jobs and income, pay taxes, and in doing so, had a multiplier effects on the local economy. The same was true of incubator graduates. With this consideration in mind the university related business regioned development policy in korean local communities.

• Journal of Construction Engineering and Project Management
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• v.2 no.2
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• pp.36-44
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• 2012

Adoption and practical application of BPM yet remains at a theoretic and methodological level for many industrial sectors. As for construction industry, adapting BPM into enterprise resource across all business processes could cause problems due to rapid change in corporate operation systems. Furthermore, it is unable to predict potential risks of business process while BPM are being applied. Therefore, applying BPM model to core strategy and individual task seems more effective than applying BPM model to the entire enterprise resource planning. In this paper, we define BPM and suggest a BPM model by analyzing each business unit in order to evaluate each business unit which is included in the business process architecture based on quantitative standards. This paper also presents a sequential application plan for business process model. Finally, a case study is demonstrated for the application of BPM system, focusing on cost management business, which turned out to be a top priority in the aspect of efficiency and ease based on priority analysis.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.05a
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• pp.1151-1151
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• 2007

• Journal of Fashion Business
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• v.7 no.6
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• pp.85-91
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• 2003

Quick Response based Mass-Customization can be produced and distributed customized goods and services on mass basis in apparel e-business. Because consumers cannot touch and feel the apparel products in e-business, they tend to have the negative buying behavior. The purposes of this study were to analyze factors of texture image, and to investigate the differences of consumer sensibility on texture image of apparel products based on different marketing channels (on-line/off-line). Two types of questionnaires for on-line and off-line were used to assess consumer sensibility on apparel fabric. The 8 swatches were selected based on the previous literatures. 202 returned questionnaires for each type (on-line/off-line) were analyzed by t-test, mean and standard deviation with SPSS 10.0. The result of this study was showed that there were partially significant differences on consumer sensibility on texture image of apparel products between on-line and off-line. In case of corduroy, consumers perceived more high-class image under on-line than off-line. In case of taffeta, consumers perceived more thin and dense image under off-line (traditional marketing channel) than on-line (e-commerce). In case of denim, consumers perceived more thin and natural image under off-line than online. In case of organza, consumers perceived more natural image under on-line than off-line. In case of satin, consumers perceived more natural image under on-line than off-line. In case of chiffon, consumers perceived denser image under on-line than off-line. In case of velvet, consumers perceived thinner image, higher-class image, and more natural image of texture sensibility under on-line than off-line. In case of single jersey, consumers perceived higher-class image, and denser image of texture under on-line than off-line.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.3
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• pp.125-134
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• 2017

The SOA (Service Oriented Architecture) based softwares are escalated because of quickly coping with business requirement. SOA can not apply to existing test method because of loosely coupled service and massage exchange architecture. In this paper, we suggest a method of test case generation using BPMN (Business Process Model and Notation). First we model processes, then make Business Flow Graph (BFG). After searching the euler path through symmetrized BFG about input and output degrees, we generate test cases. A method of test case generation using BPMN can apply at SOA-based system, and reduce the number of test cases.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.737-745
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• 2021

This study aims to determine whether there are differences in the average abnormal return, trading volume activity, and trading frequency activity in pharmaceutical stocks before and after the announcement of the first case of the coronavirus (COVID-19) in Indonesia. The sample was selected using a purposive sampling method and collected as many as nine pharmaceutical companies listed on the Indonesia Stock Exchange during 2019-2020. The data used in this study were secondary data in the form of daily data on stock closing prices, Composite Stock Price Index (IHSG), stock volume trading, number of shares outstanding, and stock trading frequency. This study was an event study with an observation period of 14 days, namely seven days before and seven days after the announcement of the coronavirus's first positive case in Indonesia. Hypothesis testing employed the paired sample t-test method. Based on the results, it was found that there was no difference in the average abnormal return of pharmaceutical stocks before and after the announcement of the first case of COVID-19. However, there was a difference in the average trading volume activity and the average trading frequency activity in pharmaceutical stocks before and after the announcement of the first case of COVID-19.

• International Commerce and Information Review
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• v.15 no.2
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• pp.387-410
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• 2013

The competition aspect of business has been transformed from competition among companies to competition among ecosystem, and has been grown to platform based business, which is defined as ecosystem among business. Coming to the spotlight with the advantages of platform business combined software and hardware like Apple, platform business have been emerging in many fields. In this research, we define platform and platform based business, and then review related researches. After this, we review four representative research methodologies which are Yin(2011)' s case analysis research, Eisenhardt(2007)' s case analysis research, Romano etc' s web based qualitative data analysis method(2003), and Creswll(2010)' s open coding technique. And then, we suggest this research' s natural methodology combined with the advantages of four research methodologies. Based on our research methodology, we choose three high commercialized categories, which are smartphone platform business, social platform business, and search engine platform business. And then, we choose seven companies in three categories with success cases & failure cases, and analysis each case in perspective of our research methodology. And then, we suggest critical success & failure elements. Based on our findings, we suggest three strategic elements for the longevity of platform based business. Finally, we suggest the limitations of our research and further research issues.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.39-50
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• 2018

A main purpose of this research is to identify success factors of start-up based on the AER case study. As a result of case analysis, In the early stage, the success factors of start-up are the entrepreneur's history, experience, expertise, prompt judgment, problem-solving ability, the capacity and teamwork of its members, business networks and supporting government start-ups. In the commercialization stage, securing commercialization and investment funds, timing, differentiation strategy, overseas advancement, and acceptance of customer feedback are important. In the growth stage (maturity stage), new product launches and diversification, and establishment of organizational culture are important. Based on the results of this analysis, this study sought success factors and implications for each stage and sought research directions in the future.