• The Journal of Information Systems
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• v.17 no.4
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• pp.51-77
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• 2008

Empirical studies on the implementation of data warehousing systems(DWS) are few while there exist a number of researches on the implementation of IS. This article intends to examine the factors affecting the implementation success. of DWS. It adopts the empirical analysis of a sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. When the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. The support of resources increases the implementation success of DWS in project aspects, while it is not significantly related to the implementation success of DWS in organizational aspects. The user involvement in systems implementation, however, affects the implementation success of DWS in organizational and project aspects. Prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding the requirements and the communication among project members increases also the implementation success of DWS. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support of consulting activities and technology transfers enhances the adherence to the project schedule, preventing the exceeding of the project budget and ensuring the implementation of the intended system functions.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.73-97
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• 2009

The IT implementation literature suggests that various implementation factors play critical roles in the success of an information system; however, there is little empirical research about the implementation of data warehousing systems has unique characteristics that may impact the importance of factors that apply to it. In this study, a cross-sectional survey investigated a model of data warehousing success. Data warehousing managers and data suppliers from 51 organizations completed paired mail questionnaires on implementation factors and the success of the warehouse. The purpose of this study is to identify which factors have a positive impact on the successful implementation of DW among organizational implementation success, project implementation success, and technical implementation success which are selected as implementation factors of DW. To do so, this study comprehensively analyze the previous studies on the success factors of the information system and DW to develop the study model and set the hypothesized. Then, it verified the hypothesis via the empirical analysis after collecting the materials through the survey. Finally, the discussion of the study's results, offered the implications of the findings, and the conclusions of the findings followed.

• Proceedings of the IEEK Conference
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• 2002.06b
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• pp.281-284
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• 2002

Rijndael algorithm is known to a new private key block cipher which is substitute for DES. Rijndael algorithm is adequate to both hardware and software implementation, so hardware implementation of Rijndael algorithm is applied to high speed data encryption and decryption. This paper describes three implementation methods of Rijndael S-box, which is important factor in performance of Rijndael coprocessor. It shows synthesis results of each S-box implementation in Xilinx FPGA. Tllc lilree S-box implementation methods are implementation using lookup table only, implementation using both lookup table and combinational logic, and implementation using combinational logic only.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.234-245
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• 2007

The empirical studies on the implementation of data warehousing systems (DWS) are lacking while there exist a number of studies on the implementation of IS. This study intends to examine the factors affecting the implementation success of DWS. The study adopts the empirical analysis of the sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. First, when the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. When the support from top management exists, users are more likely to be encouraged to use DWS, and organizational resistance to use DWS is well coped with increasing the possibility of implementation success of DWS. The support of resource increases the implementation success of DWS in project aspects while it is not significantly related to the implementation success of DWS in organizational aspects. The support of funds, human resources, and other efforts enhances the possibility of successful implementation of project; the project does not exceed the time and resource budgets and meet the functional requirements. The effect of resource support, however, is not significantly related to the organizational success. The user involvement in systems implementation affects the implementation success of DWS in organizational and project aspects. The success of DWS implementation is significantly related to the users' commitment to the project and the proactive involvement in the implementation tasks. users' task. The observation of the behaviors of competitors which possibly increases data quality does not affect the implementation success of DWS. This indicates that the quality of data such as data consistency and accuracy is not ensured through the understanding of the behaviors of competitors, and this does not affect the data integration and the successful implementation of DWS projects. The prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding requirements and the communication among project members increases the implementation success of DWS. Developing the prototypes for DWS ensures the acquirement of accurate or integrated data, the flexible processing of data, and the adaptation into new organizational conditions. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support for consulting activities and technology transfer enhances the adherence to the project schedule preventing the exceeding use of project budget and ensuring the implementation of intended system functions; this ultimately leads to the successful implementation of DWS projects. The research hypothesis that the capability of project teams affects the implementation success of DWS is rejected. The technical ability of team members and human relationship skills themselves do not affect the successful implementation of DWS projects. The quality of the system which provided data to DWS affects the implementation success of DWS in technical aspects. The standardization of data definition and the commitment to the technical standard increase the possibility of overcoming the technical problems of DWS. Further, the development technology of DWS affects the implementation success of DWS. The hardware, software, implementation methodology, and implementation tools contribute to effective integration and classification of data in various forms. In addition, the implementation success of DWS in organizational and project aspects increases the data quality and system quality of DWS while the implementation success of DWS in technical aspects does not affect the data quality and system quality of DWS. The data and systems quality increases the effective processing of individual tasks, and reduces the decision making times and efforts enhancing the perceived benefits of DWS.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.251-272
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• 2007

Although Enterprise Systems (ES) have promised major strategic benefits and process improvements from business and technology integration, their implementation has been plagued by a high failure rate and difficulty in realizing the promised benefits. For the purpose of understanding implementation failures, previous studies have focused on identifying critical success factors (CSFs) for information systems implementation. However, there has been little research on how these CSFs actually lead to successful results. In this study, based on process theory, we examined the process of ES implementation by explaining how the factors of ES implementation influence each other and how interaction among them produces results. Based on a failure case, we then developed a process model of ES implementation thus allowing us to explain the process of ES implementation. The proposed model facilitated an understanding of how repeating patterns of ES failure can be reversed. This model can be used for guiding new ES implementation projects.

• Journal of Families and Better Life
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• v.20 no.3
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• pp.125-138
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• 2002

The first purpose of this study is to inquire into the effect of new generation housewives'etiquette awareness on their etiquette implementation. For this purpose, this study will search the levels of new generation housewives'etiquette awareness and etiquette implementation, how the etiquette awareness and etiquette implementation vary according to their background variables, and the effect of new generation housewives'etiquette awareness as well as the background variables on their etiquette implementation. The major findings are as follows . First, the level of etiquette awareness was somewhat higher than that of etiquette implementation. Second, generally, their etiquette awareness didn't show a significant difference by the socio-demographic variables, but showed a significant difference by the psychological variables including communication level and humanism/materialism value orientation. Third, new generation housewives'etiquette implementation showed a significant difference only by monthly income like etiquette awareness. Meanwhile, as the psychological variables, etiquette implementation showed a significant difference by all Psychological variables except sex-role attitude. fourth, according to result of looking into relative influence of socio-demographic variables, psychological variables, and etiquette awareness about etiquette implementation, etiquette awareness was a significant variable which affects etiquette implementation.

• Korean Management Science Review
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• v.17 no.2
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• pp.1-12
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• 2000

In this study, we deals with the implementation of an optimal basis identification procedure for interior point methods. Our implementation is based on Megiddo’s strongly polynomial algorithm applied to Andersen and Ye’s approximate LP construction. Several techniques are explained such as the use of effective indicator for obtaining optimal partition when constructing the approximate LP, the efficient implementation of the problem reduction technique proposed by Andersen, the crashing procedure needed for fast dual phase of Megiddo’s algorithm and the construction of the stable initial basis. By experimental comparison, we show that our implementation is superior to the crossover scheme implementation.

• Asia pacific journal of information systems
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• v.11 no.1
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• pp.25-43
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• 2001

The evolution of EDI has opened the flexible and efficient way for business to conduct a greater portion of the routine buyer-seller business activities online. This study focuses on the role of factors that change the innovation characteristics for implementation success of EDI. Three factors promotional efforts, proactive implementation strategy, and provision of technical expertise are proposed to affect EDI implementation success, as these factors directly influence three general and most important attributes of innovation relative advantage, compatibility, and complexity respectively. Hypotheses indicate that promotional efforts, proactive implementation strategy, and provision of technical expertise directly affect EDI implementation success that is represented by three variables volume, depth, and diversity. A structural equation modeling approach(LISREL) is used to analyze data from EDI adopters. The results show that proactive implementation strategy and provision of technical expertise positively affect implementation success of EDI. Given the significant impact of the wide spread use of the EDI system, this study offers quite useful insights on the factors facilitating innovation characteristics under which EDI can be successfully diffused in organizations.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.1
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• pp.59-77
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• 1999

Since information technologies have become critical to business success as a tool for organizational Innovation, successful implementation of IT Innovation is viewed as one of the most crucial tasks for many organizations. This paper examines the fit between the relevant variables and the implementation types and its impact on the success of implementation. We clarify the concept of IT innovation by distinguishing between IT innovation object and IT innovation process. Four types of IT innovation implementation were classified according to the dimensions of implementation scope and implementation pace. We developed a set of relevant prepositions and examined them through multiple case studios following the Yin's case study methodology.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.149-156
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• 2009

Enterprise Resource Planning (ERP) system is one of key information technology to shape doing business. ERP adoption characteristics like IS planning and change management before ERP implementation are rising in importance, because of gaining competitive advantage. The purpose of this study is to analyze the impact of the characteristics of ERP adoption on ERP implementation success. From previous researches on ERP adoption and implementation, two characteristics of ERP adoption such as IS planning and change management, and 2 dependent variables such as process innovation and business performance, are identified. From data collection processes, 122 samples are collected. The results of hypothesis testing show that organizations with IS plan have higher implementation performance than organizations without IS plan. Also, organizations with the process of change management have higher implementation performance than organizations without the process of change management. Also, The interaction effect between IS planning and change management shows bigger impact in ERP implementation success.