• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.1-21
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• 2001

The purpose of this stuffy is to derive critical success factors for ERP system implementation by integrating managerial, technical. human resource and organizational culture factors welch have been proposed as influencing factors for the performance of ERP system implementation in previous studios. Especially, this stuffy divides ERP system implementation process into preparation stave, implement stage and settle-down and stabilization stave, and then derives critical success factors in each stage. The data for empirical analysis of the research model are collected from 64 companies and the respondents for questionnaire consist of ERP system implementation project managers and user department managers in companies which have already operated it after ERP system installation. The main results of this study are as follows. First, it derives 27 success factors through comprehensive review of various factors which may affect ERP system implementation performance, and categorizes them into one of three stapes preparation stave, implement stage, and settle-down and stabilization stage. Second, the relationship between many success factors at each stave (preparation stave, implement stage, and settle-down and stabilization stave) and performance variables is tested. As a result, the significant correlations between many success factors at each stage and ERP system implementation performance are found, and the difference among success factors in the degree of influencing the system performance is significantly shown. finally, the relationship between process-oriented performance variables and result-oriented performance ones is tested. As a result, it is found that there is significant correlation between process-oriented performance variables except for one variable-project resource management appropriateness - and result-oriented performance ones. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing ERP system project from the system deve1opment life cycle perspective, and empirically test it through field survey with a wide range of data collection. And, the practical implication of this study is to present the desirable guidelines for performing ERP system implementation project successfully.

• Knowledge Management Research
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• v.11 no.4
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• pp.21-39
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• 2010

Recommender system is a core component of e-commerce. Correspondingly, metrics to evaluate the system performance have been developed and applied. However, even though we have lots of applications that have tried to adopt recommender systems, the dearth of successfully installed recommender systems for more than a decade leads us to a skeptical thinking that current metrics do not sufficiently indicate the recommender system success in business viability point of view. Hence, the purpose of this paper is to reconfigure measures for recommender system success. Adopting DeLone and McLean's amended model of information system success as the underlying framework, content analysis with intellectual properties on recommender systems was conducted to modify the currently used metrics. Then a model of recommender system success is proposed based on the newly identified metrics are compared with traditional metrics.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.205-221
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• 2001

The previous BPR success factor research assumes that a success factor is responsible for both the success and failure of the BPR implementation. This paper proposes that a BPR success factor is not necessarily a failure factor, i.e., success and failure of BPR implementation are two distinct phenomena that possess different sets of causal factors. The paper also proposes that the factors are different in terms of the degree and type of influence they exert on the BPR implementation. An empirical research was conducted to validate the propositions. The research results indicate that the BPR success and failure have different causal factor sets, and that the factor influence manifests in different realms and domains. The implications of the research are discussed at the end.

• Journal of Distribution Science
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• v.15 no.10
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• pp.65-80
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• 2017

Purpose - The purpose of the present study is to discover success factors for small and medium-sized exporting enterprises and to derive factors that can positively influence the export of small and medium-sized enterprises. The ultimate goal is to contribute to the problem solution mentioned above. Research design, data, and methodology - A total of 258 filled-in questionnaires were collected; afterwards, frequency and cross tabulation analyses were conducted. The PPML analytic technique was applied to the core factors analyzed in Stages 1 and 2 to conduct regression analysis (cause and effect analysis and estimation method), thereby deriving success factors. Result - Based on detailed factors, a total of 15 success factors directly/indirectly involved in the success of export in small and medium-sized enterprises comprising 9 success factors, three positive effect factors for export, and three governments support policy factors were identified. Conclusions - The present paper is a rare empirical study paper that found and presented three detailed factors that positively influence on export and three government support policy factors, in addition to the above factors. Therefore, the results can be used by small and medium-sized enterprises that require not only previous studies, but also actual export success factor.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.309-320
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• 2015

This study is an empirical study on the relationships among success factors of six sigma(support of top management, education and training, performance-based reward, customer and quality focused thought), job satisfaction, and quality performance. In particular, mediating effect of job satisfaction on the relationship between success factors of six sigma and quality performance is empirically analysed to find causes and impacts among these variables. A survey was conducted on the employees working in 'H' company which is applying six sigma at Ulsan City. The survey questionnaires were sent to 300 people and 216 of them were returned. Data obtained was analyzed with SPSS 18.0. The study results are as follows: First, there were positive relationships between critical success factors of six sigma(except support of top management) and job satisfaction. Second, there was also a positive relationship between job satisfaction and quality performance. Third, there were also positive relationships between critical success factors of six sigma(except support of top management) and quality performance. Finally, job satisfaction were full mediating effects on the relationship between critical success factors of six sigma(education and training, performance-based reward) and quality performance. Critical success factors of six sigma(customer and quality focused thought) had a partial mediating effect on quality performance. On the other hand, support of top management had no mediating effect on quality performance.

• The Journal of Information Systems
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• v.20 no.2
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• pp.109-134
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• 2011

The purpose of this paper is to present an overview of the characteristics of the e-sports business at a crucial point in the era of information and knowledge. That is, an investigation was conducted surrounding the key success factors of e-sports as a newly growing industry, and the relationship between the key success factors and the usage effect. In order to do this, the key success factors were extracted from interviews with e-sports experts in conjunction with a survey that was conducted to gather empirical data. The key points of the statistical analysis of the survey are as follows. First, the success factors of a policy do not have a significant effect on the usage. Second, some administrative success factors of the e-sports business include the distribution of e-sports in the form of franchise chain, the establishment of policies to prevent the excellent members of e-sports from seceding, making a good impression as a high-class sport, the frequent notice of the break-even point, and educating people on how to use the e-sports machine. Third, the development and distribution of excellent e-sports software was analyzed as a technical success factor of the e-sports business. Finally, there is no doubt that results of this study can be used to facilitate the growth of the e-sports business as a new industry related to the IT industry.

• Journal of Construction Engineering and Project Management
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• v.6 no.4
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• pp.7-14
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• 2016

While the idea of the existence of a set of key factors for success in planning, designing and construction of projects is not new, it remains one of the most important issues in the field of construction management. This is due to project success factors are inputs to project management practice which can lead directly or indirectly to project success. This study identifies the success factors which can be used for improving the highway projects performance in Egypt during the project pre-construction and construction phases. Through a detailed literature review 35 success factors are identified. Furthermore, the AHP is adopted to prioritize the studied factors through the application of questionnaire survey. The study establishes that implementing an effective quality control and assurance systems, allow sufficient time for feasibility studies, design, drawing and tender preparation, effective cost control system and frequency of project budget updates, preparing adequate designs and drawings and determining sufficient time to implement the desired scope of work are the most important success factors for enhancing the highway projects performance in Egypt.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.383-393
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• 2008

In this thesis, We analyzed success enterprise case which is well worked by knowledge and is gained effect results. We searched key factor for success knowledge management and found problem which is able to happen when is introduced by success enterprise in knowledge management. We applied to in franchise real field with key factor found above results and experimented others real fields.

• 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 Digital Convergence
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• v.1 no.1
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• pp.45-67
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• 2003

Developing user success metric will make it possible to evaluate the effectiveness of different electronic government systems and will help produce empirical data relating user success to task performance in electronic government environments. The purpose of this study is that combining output-oriented and interaction-oriented variables together into a single model might explain more of the variance in the dependent variable user success in a electronic government than either type of variable could have explained alone. The hypothesized reason is that user success is the result of the reciprocal effects of the properties of the information system and several facets of psychological functioning. Thus, the complex interplay between the system and the user in certain situational contorts may produce different degrees of user success with electronic governments.