• Asia pacific journal of information systems
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• v.4 no.1
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• pp.139-168
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• 1994

Many researchers and practitioners have paid much attention to identifying some critical factors for the successful implementation of the TPS, EDP and MIS. However, not much effort have been focused on the implementation issues of DSS which is different from TPS or MIS in terms of the scope of the system, evaluation criteria, decision types served, and level of users. Because of these differences, implemention of DSS should be planned and approached from different aspects of TPS, EDP and MIS. A conceptual model includes four characteristics as independent variables and three dependent variables such as system usage, user's satisfaction, and user's attitude. This paper is to empirically prove the usefulness of the model and to identify a model for the successful implementation of DSS in Korea. It will provide a better understanding of the variables associated with the successful DSS implementation.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.701-711
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• 2008

SCM(Supply Chain Management) is one of the important issues in internet-based business environment. This study intends to suggest a research model to investigate the influence of environmental, organizational, technical factors on successful SCM system implementation. The purpose of this study is to analyze the influence of the organizational characteristics of SCM adoption on successful implementation of SCM systems, including the moderating effects of competitiveness. 122 companies data were collected by survey. The results of hypothesis testing showed that project management is the most important determinants to influence successful SCM system implementation. In addition to that, top management support, IS maturity have positive influence to successful implementation of SCM systems in direct effect model. Also, the results of hypothesis testing in moderating effect model show that competitiveness has a positive impact to successful implementation of SCM systems.

• The Journal of Information Systems
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• v.17 no.1
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• pp.1-22
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• 2008

As National Education Information Systems (NEIS) is supposed to broadly introduced all over the country, we need to understand factors that would affect its successful use. Studies regarding the NEIS have been made in terms of a social issue according to its introduction and use, however there has been only little research made in terms of the use of the system so far. Therefore, this study aims to investigate the factors that would have effect on a successful use of the NEIS. A research model of the study is based on the extended DeLone and McLean's information systems success model with two characteristics of computer self-efficacy and perceived fairness. Based on the survey data from 168 subjects, the present study performs SEM analysis with PLS. The results show that perceived usefulness and computer self-efficacy improves the user satisfaction. However, the user' satisfaction does not cause system characteristics- system quality, information quality, service quality -and perceived fairness not effect. The study provides characteristics which can effectively and smoothly introduce the NEIS for its successful use on the upcoming full scale execution on the NEIS.

• Journal of Information Processing Systems
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• v.12 no.1
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• pp.169-181
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• 2016

Organizations in some industries are still hesitant to adopt the Enterprise Resource Planning (ERP) system due to its high risk of failures. This study examined how industry classification affects the successful implementation of the ERP system. To achieve this goal, we reinvestigated the existing ERP Success Model that was developed by Chung with the data from various industry sectors, since Chung validated the model only in the engineering and construction industries. In order to test to see if the Chung model can be applicable outside the engineering and construction industries, the relationships between the ERP success indicators and the critical success factors in the Chung model and those in the sample data collected from ten different industry sectors were compared and investigated. The ten industry sectors were selected based on the Global Industry Classification Standard (GICS). We found that the impact of success factors on the success of implementing an ERP system varied across industry sectors. This means that the success of ERP system implementation can be industry-specific. Thus, industry classification should be considered as another factor to help IT decision makers or top-management avoid ERP system failures when they plan to implement a new ERP system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.53-58
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• 2002

In the construction of successful fuzzy models for nonlinear systems, the identification of an optimal fuzzy model system is an important and difficult problem. Traditionally, sGA(simple genetic algorithm) has been used to identify structures and parameters of fuzzy model because it has the ability to search the optimal solution somewhat globally. But SGA optimization process may be the reason of the premature local convergence when the appearance of the superior individual at the population evolution. Therefore, in this paper we propose a new method that can yield a successful fuzzy model using VmGA(virus messy genetic algorithms). The proposed method not only can be the countermeasure of premature convergence through the local information changed in population, but also has more effective and adaptive structure with respect to using changeable length string. In order to demonstrate the superiority and generality of the fuzzy modeling using VmGA, we finally applied the proposed fuzzy modeling methodof a complex nonlinear system.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.255-277
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• 2011

Product Service System(PSS), which is an integrated combination of product and service, provides new value to customer and makes companies sustainable as well. The objective of this paper draws Critical Successful Factors(CSF) of PSS through multiple case study. First, we review various concepts and types in PSS and Platform business literature currently available on this topic. Second, after investigating various cases with the characteristics of PSS and platform business, we select four cases of 'iPod of Apple', 'Kindle of Amazon', 'Zune of Microsoft', and 'e-book reader of Sony'. Then, the four cases are categorized as successful and failed cases according to criteria of case selection and PSS classification. We consider two methodologies for the case selection, i.e., 'Strategies for the Selection of Samples and Cases' proposed by Bent(2006) and the seven case selection procedures proposed by Jason and John(2008). For case selection, 'Stratified sample and Paradigmatic cases' is adopted as one of several options for sampling. Then, we use the seven case selection procedures such as 'typical', 'diverse', 'extreme', 'deviant', 'influential', 'most-similar', and 'mostdifferent' and among them only three procedures of 'diverse', 'most?similar', and 'most-different' are applied for the case selection. For PSS classification, the eight PSS types, suggested by Tukker(2004), of 'product related', 'advice and consulancy', 'product lease', 'product renting/sharing', 'product pooling', 'activity management', 'pay per service unit', 'functional result' are utilized. We categorize the four selected cases as a product oriented group because the cases not only sell a product, but also offer service needed during the use phase of the product. Then, we analyze the four cases by using cross-case pattern that Eisenhardt(1991) suggested. Eisenhardt(1991) argued that three processes are required for avoiding reaching premature or even false conclusion. The fist step includes selecting categories of dimensions and finding within-group similarities coupled with intergroup difference. In the second process, pairs of cases are selected and listed. The second step forces researchers to find the subtle similarities and differences between cases. The third process is to divide the data by data source. The result of cross-case pattern indicates that the similarities of iPod and Kindle as successful cases are convenient user interface, successful plarform strategy, and rich contents. The differences between the successful cases are that, wheares iPod has been recognized as the culture code, Kindle has implemented a low price as its main strategy. Meanwhile, the similarities of Zune and PRS series as failed cases are lack of sufficient applications and contents. The differences between the failed cases are that, wheares Zune adopted an undifferentiated strategy, PRS series conducted high-price strategy. From the analysis of the cases, we generate three hypotheses. The first hypothesis assumes that a successful PSS system requires convenient user interface. The second hypothesis assumes that a successful PSS system requires a reciprocal(win/win) business model. The third hypothesis assumes that a successful PSS system requires sufficient quantities of applications and contents. To verify the hypotheses, we uses the cross-matching (or pattern matching) methodology. The methodology matches three key words (user interface, reciprocal business model, contents) of the hypotheses to the previous papers related to PSS, digital contents, and Information System (IS). Finally, this paper suggests the three implications from analyzed results. A successful PSS system needs to provide differentiated value for customers such as convenient user interface, e.g., the simple design of iTunes (iPod) and the provision of connection to Kindle Store without any charge. A successful PSS system also requires a mutually benefitable business model as Apple and Amazon implement a policy that provides a reasonable proft sharing for third party. A successful PSS system requires sufficient quantities of applications and contents.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.141-152
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• 2015

Our agriculture and rural villages have faced negative conditions in many reasons. To overcome this situation, a new change is needed by the 6th industrialization. Many agriculture and rural villages in Korea are pursuing the 6th industrialization through the convergence of the primary, secondary, and tertiary industries to vitalize agriculture and rural villages. But there are several problems with the 6th industrialization. There is a limit to the capacity building of the members of the rural organization and Korean agricultural base primary, secondary, and tertiary industries are weak all. In addition, it has been insufficient research for value chain management of the region as a whole; there has been no study of information sharing across the region for the 6th industrialization. This study is about value chain management model for successful the 6th industry with Quick Response System and the big data technology. In this study to provide the efficiency of 6th industry value chain management with customer's needs analysis using big data and research for the information share between the industries in the region through the information pipeline theory of the QR System. We hope that our study is helped to proceed successfully on the 6th industrialization in Korea.

• Journal of Information Technology Services
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• v.9 no.1
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• pp.1-25
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• 2010

Many organizations are facing larger and more frequent changes in the current economic and managerial environment. And what is more, change is supposed to be a business as usual. Considering the importance of change management process and the organizational competency to rapidly and successfully change, in this study the components of change management maturity(CMM) was selected such as the leadership, communication, resistance, people culture factor, methodology, functional group, and change review. And information system performance affected by CMM is confined to the efficiency and effectiveness of information systems. Some results from the verification of research hypotheses and the analysis of the most appropriate model was drawn out. The result of this study can be applied to all organizations which plan to manage more successful change and implement more effective information systems.

• The Journal of Society for e-Business Studies
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• v.7 no.2
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• pp.55-68
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• 2002

Internet group buying systems have been widely used recently. In those systems, because the reserve price is provided by the buyer, the success rate can be decreased if the reserve price is set too low compared with the normal price. Otherwise, an unsuitable successful bid can be made if the reserve price is set too high based on inaccurate information. Likewise, the seller's providing too high a bid price can deteriorate his/her own successful bid rate, whereas a successful bid with too low a price may make no profit in the sale. Therefore, pricing agents that recommend adequate prices based on the past buying and selling history data can be helpful. In this paper, we propose two kinds of agents. One suggests reserve prices to buyers based on the past buying history database of the system. The other recommends bid prices to a seller based on the past bidding history data of the company using the cost accounting theory. Through performance experiments, we show that the successful bid rate can increase by preventing buyers from making unreasonable reserve prices. Also, we show that, for the seller, the rate of successful bids with appropriate profits can increase. Using the pricing agents, we design and implement an XML-based group buying system.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.11a
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• pp.339-348
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• 2004

There were few empirical researches on the ERP system in spite of increasing interest on ERP system recently Therefore, the purpose of this study is to develop an framework for the marketing performance based on evaluation of ERP system used by the theoretical model for evaluation of information system and the empirical data of Korean firms. This study was empirically examined an effect of ERP system and its information quality on the use of information from ERP system. And another effect of information use from ERP system on marketing performances survey on MIS was conducted for the marketing strategy. In this study, the structural equation model was established for verifying the relationship of above variables. And several hypotheses were established and examined empirically from that structural equation model. In conclusion, the effectiveness of ERP system must be evaluated within structural relationship among ERP system and its information quality, the use of information from ERP, and marketing performances. Additionally, the result of this research has founded the fact that ERP system and its information quality are important as elements of successful ERP system.