• Information Systems Review
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• v.12 no.1
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• pp.131-144
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• 2010

To survive in the rapidly changing business environment, it is very important for companies to respond to the changing environment effectively as well as agilely. As an approach to appropriately respond to the changing environment, companies have developed and exploited various business rules and related knowledge and attempted to implement them through information systems. However, most of legacy information systems used in companies have suffered from the limitations that do not properly utilize and systematically organize the business rules. This study proposes an introduction of BRE (business rule engine) as a solution to cope with the limitations and explores its effect on organizational agility based the case analysis of "W" Investment and securities Co., Ltd.

• Proceedings of the Technology Innovation Conference
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• 2005.06a
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• pp.5-23
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• 2005

Since the emergence of the Internet, electronic business (e-business) has become one of the most widely investigated issues. E-business is considered to have the potential of generating considerable new values and the capability to transform the rules of competition in unprecedented ways. This study aim to suggest a approach for new business idea creation. This is based on the analysis and manipulation of business method patents. For this end, our research is performed in the following ways. First, business keywords are extracted from business method patents. Second, business model framework which is used to structuralize the business is suggested based on the literature survey. Third, the business keywords are classified into the business model framework. Forth, existing business model is expressed based on the suggested framework. Finally, new business idea is created from the existing business model by adding, subtracting, or substituting the business keywords.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.23-40
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• 1999

This paper proposes a hybrid intelligent system that predicts the failure of firms based on the past financial performance data, combining neural network and rough set approach, We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables and objects (i.e., firms) is reduced with no information loss through rough set approach. And then, this reduced information is used to develop classification rules and train neural network to infer appropriate parameters. Through the reduction of information table, it is expected that the performance of the neural network improve. The rules developed by rough sets show the best prediction accuracy if a case does match any of the rules. The rationale of our hybrid system is using rules developed by rough sets for an object that matches any of the rules and neural network for one that does not match any of them. The effectiveness of our methodology was verified by experiments comparing traditional discriminant analysis and neural network approach with our hybrid approach. For the experiment, the financial data of 2,400 Korean firms during the period 1994-1996 were selected, and for the validation, k-fold validation was used.

• Knowledge Management Research
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• v.19 no.4
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.329-337
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• 2021

This research aims to expose the Islamic perspective on the concept of justice on the Mudarabah contract's profit-sharing ratio. In certain verses in Al-Qur'an, Islamic values in Muamalah, the rules dictated by the Qur'an and its practices, and explanations rendered (more commonly known as Sunnah) by the Prophet Muhammad (pbuh) and Sahabah (the companions of the Prophet Muhammad), and Fiqh Axiom (rules) in Muamalah (Islamic jurisprudence), are used as the instruments of sharia to achieve the study objective. Islamic monetary establishments in Indonesia are still not in full consistency with the Shariah principles, significantly as far as satisfying equity and justice by Islamic banks in mudarabah contract (with clients). The ignominy is the nisbah (ratio) between the capital proprietor and the capital director. There are models or propositions to decide the benefit (profit)-sharing proportion. Nevertheless, none of them explains or specifies the possibility of equity/justice in the profit-sharing ratio. This research utilizes an explorative and subjective methodology that contributes to the philosophical premise of deciding the profit-sharing fairness. The elements of a just ratio for the Mudharabah contract are mutual willingness, the existence of negotiation, and the level of advantages and risks of the labor.

• Ocean and Polar Research
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• v.28 no.4
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• pp.425-438
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• 2006

This study has the purpose of providing a framework for analyzing problems of institutional choice, illustrating the complex configuration of variables that must be addressed when individuals in field settings attempt to fashion rules to improve their individual and joint outcomes. The reason for presenting this complex array of variables (i.e., situational variables) as a framework rather than as a model is precisely because one cannot encompass this degree of complexity within a single model. The results of this study imply that it is important for researchers and government officials to understand that appropriators have a certain amount of ability to transform the status quo rules to the alternative rules.

• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.

• The Journal of Information Systems
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• v.14 no.3
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• pp.37-47
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• 2005

Mining of association rules is to find associations among data items that appear together in some transactions or business activities. As of today, algorithms for association rule mining, as well as for other data mining tasks, are mostly applied to relational databases. As XML being adopted as the universal format for data storage and exchange, mining associations from XML data becomes an area of attention for researchers and developers. The challenge is that the semi-structured data format in XML is not directly suitable for traditional data mining algorithms and tools. In this paper we present an encoding method to encode XML tree-nodes. This method is used to store the XML data in Value Table and Transaction Table that can be easily accessed via indexing. The hierarchical relationship in the original XML tree structure is embedded in the encoding. We applied this method to association rules mining of XML data that may have missing data.

• Journal of Arbitration Studies
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• v.30 no.2
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• pp.23-42
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• 2020

The purpose of this study is to analyze the characteristics of Vietnam's arbitration system and to present measures that companies can utilize in practice. This research considers KCAB International Arbitration Rules, focusing on amendments to the Decree on Vietnam Commercial Arbitration Act and amendments to the VIAC Arbitration Rules. To sum up some features, the decree on the Commercial Arbitration Act simplified the registration procedures for arbitration centers and their branches and made the publication of court decisions and the recognition of the approval and execution of foreign arbitration courts, thereby enhancing transparency. First of all, the decree on the Commercial Arbitration Act simplified registration procedures for arbitration centers and their branches. In addition, the court strengthened transparency by officially announcing court judgments, recognition, and decisions. Next, there are some points to note in the arbitration rules of the VIAC. First of all, the rules of expedited procedure lack clarity. Next, parties should make a separate document for counterclaim and submit it with a statement of defense. In addition, the arbitral language may choose multiple languages by the Arbitral Tribunal unless the parties agree. Therefore, companies need to take a closer look at their understanding of the international arbitration system, which is mainly used in international disputes, and the characteristics of the Vietnamese arbitration system.

• International Commerce and Information Review
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• v.11 no.1
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• pp.45-66
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• 2009

Licensing of information is the standard of the computer information business today. The huge bulk of vendors license their computer information products. The Uniform Computer Information Transactions Act(UCITA), therefore, does not originate licensing contracts. UCITA was developed to provide basic, recognizable default rules for the existing licensing activity that goes on and expands as commerce in computer information expands. UCITA's rules govern licensing of contracts for computer information from formation through performance, including remedies if there is a breach of contract. Included in UCITA are rules for warranties, both implied and express, and rules pertaining to risk of loss in a computer information transaction. Most of the rules in UCITA are the traditional and familiar rules of contract from the law of sales and from the common law, but adapted to the special nature of computer information licensing contracts. Freedom of contract is a dominating underlying policy for UCITA, exactly as that principle is the foundation for the law of commercial transactions, generally, and exactly as that law has served all commercial transactions in the United States and has contributed to the economic growth and health of the United States.