• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.36 no.3
• /
• pp.34-42
• /
• 2013

In this study, we develop a method for analyzing business process based on the event-driven process chain (EPC) model. The method consists of five stages such as identifying abnormal events, finding causes for the abnormal events and problems caused by the abnormal events, making cause-and-effect chains, drawing root-cause map, and defining improvement areas. We illustrate how to apply the method with some examples for the domestic registered mail delivery process.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.2
• /
• pp.807-825
• /
• 2020

In recent years, business environments have become more complex; therefore, enterprises must be capable of responding flexibly and agilely. For these purposes, effective enterprise systems service monitoring and early decision making based on the same, emerge as core competency of the enterprise. In addition, enterprise system techniques that filter meaningful data are needed to event processing. However, the existing study related with this is nothing but discovering of service faults by monitoring depending upon API of BPEL engine or middleware, or is nothing but processing of simple events based on low-level events. Accordingly, there would be limitations to provide useful business information. In this study, we present an extended event processing model that enables delivery of more valuable and useful business information through situation detection. Primarily, the event processing architecture in an enterprise system is proposed as a definite approach, and then define an event meta-model suitable for the proposed architecture. Based on the defined model, we propose the syntax and semantics of the elements that make up the event processing language include various and progressive event operators, the rules, complex event pattern, etc. In addition, an event context mechanism is proposed to analyze more delicate events. Finally, the effectiveness and applicability of proposed approach is presented through a case study.

• Journal of Arbitration Studies
• /
• v.8 no.1
• /
• pp.269-291
• /
• 1998

Change of circumstances subsequent to formation of international business contract raises two issues on both parties' obligation to perform business transaction concerned. One is impossibility of performance due to events beyond control of parties and the other is adaption of contract. In Anglo-American Law such an impossibility of performance is provided by the doctrine of Frustration and the doctrine of Practicability(UCC 2-615). In practice a "force majeure" clause should be included in contract defining the parties' mutual rights and duties if certain events beyond their control occur to safeguard themselves against possible impossibility. On the other hand the tendency of international trade is that alongside sales contracts, there are contract for supplies, for furnishing raw materials, for building industrial complexes, and transferring technology. One characteristic of these agreements is their duration. For in order to carry out these agreements, it is necessary to complete a series of closely interrelated operations which, in the normal course of events, take place over a number of years. It is often difficult for the parties, when finalizing their contract, to have a full grasp of all of the factors governing their relations. With a view to resolving difficulties such as compromise the continuous performance of a contract, parties may insert a regulatory clause in their contract providing for intervention by a third person after stating in specific and detailed fashion the circumstances in which their contract may be adapted.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.4
• /
• pp.51-69
• /
• 2014

Times to multiple events (TMEs) are a major data type in large-scale business and medical data. Despite its importance, the analysis of TME data has not been well studied because of the analysis difficulty from censoring of observation. To address this difficulty, we have developed a Bayesian-based multivariate survival analysis method, which can successfully estimate the joint probability density of survival times. In this work, we extended this method for the analysis of precedence, dependency and causality among multiple events. We applied this method to the electronic health records of 2,111 patients in a children's hospital in the US and the proposed analysis successfully shows the relation between times to two types of hospital visits for different medical issues. The overall result implies the usefulness of the multivariate survival analysis method in large-scale big data in a variety of areas including marketing, human resources, and e-commerce. Lastly, we suggest our future research directions based multivariate survival analysis method.

• Proceedings of the CALSEC Conference
• /
• 2004.02a
• /
• pp.117-121
• /
• 2004

Paradigm Shift： Business of government - Transition to egovernment · Citizens have become accustomed to the private sector delivering high standards of customer service on the Internet and expect government to do likewise(Schoeniger, 2000). · The rise of e-business in the private sector reinforce the shift in the focus of government(Alfred Tat-Kei). · Explosive growth in Internet usage and rapid development e-Business in the private sector have put growing pressure on the public sector to serve citizens electronically, which is often known as the "e-government" initiative(omitted)

• International Commerce and Information Review
• /
• v.8 no.1
• /
• pp.283-303
• /
• 2006

This is the research on the correlation between the marketing activities conducted by the companies participating in the overseas exhibitions in the exhibition and the satisfaction of the visitors. I have been able to obtain the following findings through the positive research on the satisfaction of the visitors to the overseas exhibitions. The research findings show that the external elements of the participating companies such as 'external appearances of booths, interior facilities and the atmosphere', 'designs of exhibits', 'size of the participating companies', and the publicity elements of the participating companies such as 'the degree of application of mass media', 'prior publicity of the participating companies', etc. among the marketing activities conducted by the participating companies in the exhibition affect the interest and repeat business deals of the visitors. The findings also show that the elements to induce the interest of the visitors such as the booth design and display of products where the participating companies may produce their unique image and the prior publicity to the visitors constitute the important elements of marketing. It has also been revealed that the visitors whose purpose of the visits are to purchase the products and to satisfy their interest in 'the events and contents of the events affect the interest and the repeat business deals of the visitors, among the interest and repeat business deals pursuant to the characteristics of the visitors. It has also been found that the visitors who have recognized the representative brands in the exhibitions affect the interest and the repeat business deals and the visitors who have visited the exhibition several times are more satisfied than the visitors who have visited the exhibition for the first time. The comparative evaluation of the degree of importance of the marketing activities of the participating companies before the visitors' visit to the exhibitions and the degree of satisfaction after their visit reveals degrees of satisfaction in the order of 'the booth staff's professional knowledge of the exhibits', 'foreign language proficiency and their techniques of negotiation and demonstration', 'designs of the exhibits (colors and packaging), 'prior publicity of the participating companies. Such being the case, the companies participating in any of the overseas should maximize the result of their participation in the exhibition by training their staff in the products and foreign languages and through the prior publicity. It has also been found out that "the atmosphere of the booth in the exhibition such as 'launching of new products', 'external appearances of the booth, layout of the interior facilities and the atmosphere and events of the participating companies affect the interest and repeat business deals of the visitors, among the factors for the satisfaction of the visitors. Therefore, it has been proven that the external factors such as the external appearances of the booth, display of the products, launching of new products and events producing the atmosphere of the booth of the participating companies among the marketing activities conducted by the participating companies, and the extent of the training of the booth staff and prior publicity are the major factors affecting the interest and repeat business deals of the visitors.

• Journal of Information Processing Systems
• /
• v.8 no.2
• /
• pp.213-240
• /
• 2012

Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test ma Safety critic Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test manually. In order to cut down on costs, save time, and increase reliability, the model based testing approach is the best solution. Such an approach does not require applications or codes prior to generating test cases, so it leads to the early detection of faults, which helps in reducing the development time. Several model-based testing approaches have used different UML models but very few works have been reported to show the generation of test cases that use events. Test cases that use events are an apt choice for these types of systems. However, these works have considered events that happen at a user interface level in a system while other events that happen in a system are not considered. Such works have limited applications in testing the GUI of a system. In this paper, a novel model-based testing approach is presented using business events, state events, and control events that have been captured directly from requirement specifications. The proposed approach documents events in event templates and then builds an event-flow model and a fault model for a system. Test coverage criterion and an algorithm are designed using these models to generate event sequence based test scenarios and test cases. Unlike other event based approaches, our approach is able to detect the proposed faults in a system. A prototype tool is developed to automate and evaluate the applicability of the entire process. Results have shown that the proposed approach and supportive tool is able to successfully derive test scenarios and test cases from the requirement specifications of safety critical systems, real time systems, and event based systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.10a
• /
• pp.249-252
• /
• 2009

Recently, it is possible for users to acquire necessary data easily as the various schemes of the searching information are developed. Since these data rise continuously like stream data, it is required to extract the appropriate data for the user's needs from the mass data on the internet. In the traditional scheme, they are acquired by processing the user queries after the occurred data are stored at a database. However, it is inefficient to process the user queries over the large volume of continuous data by using the traditional scheme. In this paper, we propose the query processing scheme to extract the data efficiently for the user requirements from the large volume of continuous data. On the proposed scheme, we present the Event-Profile Model to define the data occurrence on the internet as the events and the user's requirements as the profiles. We also show the filtering scheme to process the events and the profiles efficiently.

• Asia-Pacific Journal of Business
• /
• v.14 no.4
• /
• pp.289-303
• /
• 2023

Purpose - The purpose of this study is to investigate the types and forms of various marketing activities actually used in pharmaceutical companies and to empirically analyze the impact of these marketing activities on sales. Design/methodology/approach - This study categorize five years' worth of marketing activity data from a foreign pharmaceutical company 'A' which operates in South Korea into five categories. Multiple regression analysis and interaction effects are employed for data analysis. Findings - First, CRM calls, Detail calls, GP, and Web events have a positive impact on sales, but SoV does not show significant differences. Second, in the comparison between HQ1 and HQ2 based on patent ownership, Detail calls and Web events had a stronger impact on sales in HQ2, where the patent period is still in effect, compared to HQ1. However, SoV showed no difference between HQ1 and HQ2. Research implications or Originality - First, Detail Calls are more effective for drugs with active patents, while CRM Calls work better for drugs with expired patents. This emphasizes the need to customize call strategies based on patent status. Second, the significant impact of Web Events on sales in HQ2 compared to HQ1 suggests that online information access is crucial, indicating that customer receptivity varies based on product nature. Third, these insights, derived from data analysis, call for a shift in pharmaceutical marketing analysis methods away from traditional approaches. Finally, this study holds significance as one of the first empirical analyses using actual marketing data from pharmaceutical companies in South Korea.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.83-93
• /
• 2020

This empirical research aims to modeling and improving the forecasting accuracy of the volatility pattern by employing the Saudi Arabia stock market (Tadawul)by studying daily closed price index data from October 2011 to December 2019 with a number of observations being 2048. In order to achieve significant results, this study employs many mathematical functions which are non-linear spectral model Maximum overlapping Discrete Wavelet Transform (MODWT) based on the best localized function (Bl14), autoregressive integrated moving average (ARIMA) model and generalized autoregressive conditional heteroskedasticity (GARCH) models. Therefore, the major findings of this study show that all the previous events during the mentioned period of time will be explained and a new forecasting model will be suggested by combining the best MODWT function (Bl14 function) and the fitted GARCH model. Therefore, the results show that the ability of MODWT in decomposition the stock market data, highlighting the significant events which have the most highly volatile data and improving the forecasting accuracy will be showed based on some mathematical criteria such as Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), Root Means Squared Error (RMSE), Akaike information criterion. These results will be implemented using MATLAB software and R- software.