• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.1-16
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• 2007

According to the expansion of the Internet use and the utilization of e-business, there are an increasing number of studies of intelligent-based systems for the preparation of ubiquitous environment. In addition, expert systems have been developed from Stand Alone types to web-based Client-Server types, which are now used in various Internet environments. In this paper, we investigated the environment of development for web-based expert systems, we classified and analyzed them according to type, and suggested general typical models of web-based expert systems and their architectures. We classified the web-based expert systems with two perspectives. First, we classified them into the Server Oriented model and Client Oriented model based on the Load Balancing aspect between client and server. Second, based on the degree of knowledge and inference-sharing, we classified them into the No Sharing model, Server Sharing model, Client Sharing model and Client-Server Sharing model. By combining them we derived eight types of web-based expert systems. We also analyzed the location problems of Knowledge Bases, Fact Bases, and Inference Engines on the Internet, and analyzed the pros & cons, the technologies, the considerations, and the service types for each model. With the framework proposed from this study, we can develop more efficient expert systems in future environments.

• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.70-81
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• 2009

Ontology is an explicit specification of concepts and relationships between concepts in an interest domain. As considered as one of typical knowledge representation methods, ontology is applied to various studies such as information extraction, information integration, information sharing, or knowledge management. In IT based industries, ontology is applied to research on information integration and sharing in order to enhance interoperability between enterprises. In supply chains or logistics, several enterprises participate as business partners to plan movements of goods, and control goods and logistics flows. A number of researches on information integration and sharing for the effective and efficient management of logistics or supply chains have been addressed. In this paper, we address an ontology as a knowledge-base for semantic-based integration of logistics information distributed in the logistics flow. Especially, we focus on developing an ontology that enables to represent and translate semantic meaning of EPC data in the EPC Network applied logistics. We present a scenario for tracing products in logistics in order to show the value of our ontology.

• Information Systems Review
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• v.24 no.1
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• pp.105-123
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• 2022

Thanks to the remarkable success of Artificial Intelligence (A.I.) techniques, a new possibility for its application on the real-world problem has begun. One of the prominent applications is the bankruptcy prediction model as it is often used as a basic knowledge base for credit scoring models in the financial industry. As a result, there has been extensive research on how to improve the prediction accuracy of the model. However, despite its impressive performance, it is difficult to implement machine learning (ML)-based models due to its intrinsic trait of obscurity, especially when the field requires or values an explanation about the result obtained by the model. The financial domain is one of the areas where explanation matters to stakeholders such as domain experts and customers. In this paper, we propose a novel approach to incorporate financial domain knowledge into local rule generation to provide explanations for the bankruptcy prediction model at instance level. The result shows the proposed method successfully selects and classifies the extracted rules based on the feasibility and information they convey to the users.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.177-189
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• 2018

Business environment is always full of challenges. Despite various strategic efforts, there are so many failure cases of misfit. With the weaker resource base and institutional foundation, startup firms find it more difficult to find the right spot in the stiff competition. In the middle of evolutionary process, the startup firms need proper strategies meeting the differential challenges along the multiple stages of growth. Following the idea of product life cycle, this study applies the four stages of growth-startup, initial growth, accelerated growth, matured, and decliing. The next step for the startup manager is meeting each stage of growth with proper strategic efforts, including strategy, structure, decision-making pattern, and control method. When the knowledge factor is introduced, there is a potential for higher performance. Based on the 'Detailed Survey on Startup Ventures in 2017,' this study explores the impact of the government subsidy program on the firm competitiveness and performance-along the four stages of growth. In each stage, the strategy factors showed differential impact.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.2
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• pp.99-104
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• 2016

This paper aims to develop the One-In-One web solutions that can work in PC, tablet, notebook, and smart phone depending on the flow of the ICT times to promote the marketing of the technology. The characteristics of this web solutions can be used to a image viewer system of 3D array type for PC, tablet, notebook, and smart phone. It is implemented in the design of 3D display slide show type. And it is developed an image viewer system, which enables users to use by utilizing the links manner ICT base required by each channel of the image. This is the 3D photo viewer PR solution developed in the way that anyone can use easily without the knowledge of programming in various areas such as public relations, business, and education.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.111-131
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• 2004

Software change is an essential operation for software evolution. To maintain the system competently, managers as well as developers must be able to understand the structure of the system but the structure of software is hidden to the developers and managers who need to change it. In this paper, we present a system (OntCIA) for supporting change impact analysis for rating and billing domain based on the semantic web technology. The basic idea of OntCIA is to build a domain knowledge base using an OWL ontology and RDF to implement change impact analysis system that would support the managers and software developers in finding out information about structure of large software system. OntCIA allows users to incrementally build an ontology in rating and billing domain and provides useful information in response to user queries concerning the code, such as, for example 'Find the modules which have a role for confirming new subscription'. The strengths of OntCIA are its architecture for easy maintenance as well as semantic indexing by automatic reasoning.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.141-167
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• 2012

Along with technological innovation, successful market entry of a new product is important for sustainable innovation of a firm. In this paper, we examined factors that affect successful introduction of new branded drugs in pharmaceutical industry. Under competing theories of the first mover's advantage and the late mover's advantage, this research focuses on how latecomers can overcome the disadvantages of late entry and catch up to the market leader. First, late movers can absorb the knowledge leaked from pioneering product during the time lag between early entrants and late entrants. Therefore, the time lag provides late entrants an opportunity to catch-up to market leader by differentiating and improving the quality of new product. Second, superior marketing capability of late entrants can enhance the possibility of catching-up, by overcoming the consumer base of early entrants.

• The Journal of Information Systems
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• v.12 no.1
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• pp.159-175
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• 2003

During the early stage of radioactive disposal programs, important issues related with quality assurance of data sets, methodologies, R&D procedures are recognized as important ones. This paper focused on the development of web-based workflow standards for the QA procedures of the radioactive waste disposal programs. The flow of process was analyzed based on workflow concepts proposed by the Workflow Management Coalition (WfMC). QA system is based on the principles of T2R3. T2R3 Workflow was used to standardize and restructure the business and/or work process in the industry or organization. The WfMC has identified five functional interfaces to a workflow service as part of its standardization program. They are composed of process definition interface, worklist handler, application program interface, interface between workflows, and system management. The task flow and QA program were defined based on the workflow ideas. QA procedures for the R&D results of radiation disoposal were analyzed following the reference model of workflow. In addition, six program run list were created and implemented. The creation, revision, and approval of the test data were designed to be inplemented on the web environment. Through this system, R&D procedures such as planning, research, documentation, internal review and future independent peer review processes could be well organized and stored more systematically on the database and knowledge base. This will encourage the usage and data sharing between interested parties through it's clear and transparent workflow standards.

• Nuclear Engineering and Technology
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• v.55 no.8
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• pp.3054-3070
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• 2023

Nuclear Power Plants (NPP) are widely utilized around the globe from different base forms as it is one of the most dependable renewable resources that technological advancements have offered. However, different perceptions of the usage of NPPs emerged from different generations. The purpose of this study was to investigate the acceptance of nuclear energy as an alternative source of energy among Generation Z in the Philippines by utilizing an extended Theory of Planned Behavior (TPB) approach. An online questionnaire which consisted of 31 items was distributed using a purposive sampling approach and 450 respondents of Generation Z voluntarily answered. Structural Equation Modeling (SEM) showed that the knowledge regarding NPP had significant effects on risk perception and benefit perception which subsequently led to subjective norms. In addition, perceived behavioral control and subjective norms had significant effects on behavioral intention which led to nuclear acceptance. Interestingly, the respondents perceived the benefit of NPP as slightly higher than the perceived risk. With these, it was clear that the commissioning Nuclear Power Plant must consider as an alternative source of electric energy in the Philippines. Moreover, this study is one of the first studies that investigated the acceptance of NPP among Generation Z. Lastly, the model could be a basis to strengthen the acceptance strategy of opening NPP among Generation Z, particularly in developing countries.

• Asia Marketing Journal
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• v.17 no.4
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• pp.63-88
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• 2016

K-Pop is hugely promoted offline/online in East Asia, while efforts to promote it elsewhere are kept to a minimum. Whilst addressing the role of digital marketing in the promotion of K-Pop in the Brazilian music industry this study aims to demonstrate that K-pop will provide its audience with a unique and engaging experience if it thinks globally and acts locally in its marketing and communication strategies. A survey of K-Pop's world fan base was carried out online with 1,074 fans to determine the validity of the hypothesis. The results have demonstrated the need to adapt global and intercultural strategies to local markets with increasing brand awareness through utilizing digital marketing. For example, to increase K-Pop's popularity and market share in Brazil, it is not required to sing in Brazilian Portuguese, contrary to what might be perceived but fully singing in English would help breaking into the market dominated by domestic music as songs would have a higher probability to be included in the international soundtrack of a Brazilian telenovela and promote the K-Pop artist not only across Brazil but also give the artist exposure in all the markets the Brazilian telenovela is exported to, opening an entry door to those markets. K-Pop audience segmentation and psychographic profiling is crucial to the understanding of each market's consumer's preferences, likes, dislikes and their buying habits as it was proven through Brazil's digital media, social media, digital music market and K-Pop market analysis within the global context of the study. It should be also considered that brand extensions are not standard everywhere and that there are cultures where different product categories are not directly associated with its main corporate owner which requires extensive local market knowledge to succeed. The primary and secondary data research that we conducted for this study intended to demonstrate that K-Pop can be successful in Brazil and in Latin America and increase their local and regional market share if digital marketing and communication strategies are tailored to each individual market.