• Journal of Intelligence and Information Systems
• /
• v.6 no.1
• /
• pp.35-50
• /
• 2000

Diverse requirements of users on web-based model management force a system agent to develop user-adaptive building a model in reality and providing an adequate solution method of the model. The relationship between models is important knowledge for the agent to effectively build a new model to adaptively adjust an existing model under a problem and to efficiently connect the new model into an adequate solution method. Since the generating process of the inter-model relationship is more difficult than the building a new model however the process mostly depends on the knowledge of operation research experts. Without the adequate scheme of the inter-model relationship the burden of the management for the agent increases rapidly and the quality of the services may worsen. This study shows that meta-knowledge generated from relationship between models is important for the user to build a model in reality and to acquire the solver appropriate to the model. The relationship that consists of common and exclusive objects between models can be represented by frames. The system under development to implement the idea includes user-adaptive ability which identifies a model through forward chaining method and searches the solver appropriate to the model by using the meta knowledge. We illustrate the meta knowledge with an applied delivery system in supply chain management.

• The Journal of Information Systems
• /
• v.17 no.4
• /
• pp.181-206
• /
• 2008

This study aims to investigate the impacts of managerial and technical IT knowledges on firm's financial performance. Specifically, the study examines the following three effects between IT personnel knowledges and financial performance: (1) direct effect, (2) mediating effect of business process performance, and (3) moderating effect of firm size, between them. An empirical study resulted in the followings. First, both managerial and technical IT knowledges do not have direct influences on financial performance. Second, unlike technical IT knowledge, managerial IT knowledge indirectly affects financial performance through business process performance, confirming the mediating role of business process performance. Third, while technical IT knowledge produce no direct and indirect effect on financial performance regardless of firm size, managerial IT knowledge exerts significant impacts on financial performance although such effects represent some different patterns according to firm size. That is, in the smaller group, the association between managerial IT knowledge and financial performance is partially mediated by business process performance and in the larger group, that relationship fully mediated.

• Management & Information Systems Review
• /
• v.3
• /
• pp.179-199
• /
• 1999

Case-Based Reasoning(CBR) offers a new approach for developing knowledge based systems. In case-based approach the problem solving experience of the domain expert is encoded in the form of cases. CBR has successfully been applied to many kinds of problems such as design, planning, diagnosis and forecasting. In this paper, CBR was applied for forecasting default risk. The applied result was successful in spite of the small casebase. Generally, CBR requires large casebase. So, if the number of data was large, the result was better. But in this paper, what financial variable was more forecastable was not tested. Next, this should be tested.

• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.99-106
• /
• 2014

Generation and analysis methods have been proposed in recent years, such as using a natural language and formal language processing, artificial intelligence algorithms based knowledge model is effective meaning. its semantic based knowledge model has been used effective decision making tree and problem solving about specific context. and it was based on static generation and regression analysis, trend analysis with behavioral model, simulation support for macroeconomic forecasting mode on especially in a variety of complex systems and social network analysis. In this study, in this sense, integrating knowledge-based models, This paper propose a text mining derived from the inter-Topic model Integrated formal methods and Algorithms. First, a method for converting automatically knowledge map is derived from text mining keyword map and integrate it into the semantic knowledge model for this purpose. This paper propose an algorithm to derive a method of projecting a significant topic map from the map and the keyword semantically equivalent model. Integrated semantic-based knowledge model is available.

• Information Systems Review
• /
• v.10 no.2
• /
• pp.179-194
• /
• 2008

To ensure continued existence, an organization must develop ways to share the knowledge that is possessed within the organization with the people who need, or who will need, that knowledge. Improving the efficiency of knowledge sharing is a highly desirable goal, but the issue of how best to motivate individuals to share their most valuable knowledge is not yet completely resolved. This paper aims to provide a sharing model on job related knowledge. Also, it intends to look for the factors that facilitate knowledge sharing among individuals in an organization. The research model is based on the technology acceptance model and it includes the perceived usefulness, perceived ease of use, attitude and intention to share constructs. Also, two external variables namely organizational culture and system quality were added. However, the actual use was excluded. In the research model, all hypotheses were found to be significant except one, which is the hypothesis that perceived usefulness will positively affect the intention to share.

• International Journal of Knowledge Content Development & Technology
• /
• v.7 no.4
• /
• pp.71-84
• /
• 2017

The paper discusses the nature of Knowledge Organization Systems (KOSs) and shows how these can support digital library users. It demonstrates processes related to integration of KOS like the Dewey Decimal Classification, $22^{nd}$ edition (DDC22) in DSpace software (http://www.dspace.org/) for organizing and retrieving (browsing and searching) scholarly objects. An attempt has been made to use the DDC22 available in Bengali language and highlights the required mechanisms for system-level integration. It may help a repository administrator to build an IDR (Institutional Digital Repository) integrated with SKOS-enabled multilingual subject access systems for supporting subject descriptors based indexing (DC.Subject metadata element), structured navigation (browsing) and efficient searching.

• Journal of Intelligence and Information Systems
• /
• v.9 no.2
• /
• pp.87-100
• /
• 2003

In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user′s information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.32B no.12
• /
• pp.1687-1696
• /
• 1995

An integrated fault diagnosis system for heterogeneous manufacturing environments is developed. This system has a contrast with existing diagnosis systems in the respect that they are mostly for diagnosing faults on individual machines. In addition to the usual (e.g., audio, electrical) diagnostic signals, the characteristics of products from the machines are considered as the unifying diagnostic parameters among heterogeneous machines in the diagnosis. The system is composed of a knowledge representation scheme and a diagnostic query processing mechanism. Its knowledge representation scheme allows the diagnostic knowledges from heterogeneous unit diagnostic systems to be uniformly expressed in terms of the causal relations among relevant data items. It is flexible in the sense that causes for one relation can be effects for another may be reflected on our knowledge representation scheme. The diagnosis mechanism is based on a probabilistic inferencing method. This probablistic diagnosis mechanism provides more general diagnosis than existing ones in that it accommodates multiple causes and takes complication among causes into account. These scheme and mechanism are applied to a typical example to demonstrate how our system works.

• Management & Information Systems Review
• /
• v.26
• /
• pp.61-90
• /
• 2008

The purpose of this paper is to investigate the effects of anti-smoking advertising on attitude toward anti-smoking and behavioral intention to quit smoking in terms of audience's involvement with anti-smoking and knowledge on smoking. For this, a total of 10 hypothesis were established and statistically tested. According to the results, all but hypothesis 1-1(attitude toward anti-smoking is more favorable in the high involvement condition than in the low involvement condition) were unfortunately rejected. These results can be justified by theoretical explanations such as Hierarchy Effects Model or Elaboration Likelihood Model. In addition, some methodological reasons were provided as well.

• Asia pacific journal of information systems
• /
• v.30 no.2
• /
• pp.420-438
• /
• 2020

Recently, with the advance of the wireless Internet access via mobile devices, a myriad of game development companies have forayed into the mobile game market, leading to intense competition. To survive in this fierce competition, mobile game developers often try to get a grasp of the rapidly changing needs of their customers by operating their own official communities where game users freely leave their requests, suggestions, and ideas relevant to focal games. Based on the heuristic-systematic model (HSM) and the data quality (DQ) framework, this study derives key content, non-content, and hybrid cues that can be utilized when game developers accept suggested postings in these online communities. The results of hierarchical multiple regression analysis show that relevancy, timeliness, amount of writing, and the number of comments are positively associated with mobile game developers' knowledge adoption. In addition, title attractiveness mitigates the relationship between amount of writing/the number of comments and knowledge adoption.