• Journal of Information Technology Services
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• v.8 no.4
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• pp.141-150
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• 2009

There are no objective standards for selection and improvement of SLA evaluation metrics for IT service. In this study, we analyze the current IT maturity models for selection and improvement of the metrics and then we derive them according to the maturity levels and propose the redesigned maturity model. To verify whether the model is applicable, we execute a case study based on the D company. We apply the proposed evaluation metrics of the maturity models to the D company and evaluate the metrics. We select a proper level of the D company and an improvement line after measuring evaluation metrics in the maturity level 2. We propose improvement guidelines of evaluation metrics which score is less than the improvement line's and derive SLA evaluation metrics. By using the SLA evaluation metrics for a year, we prove that the way of selection and improvement is useful.

• Journal of Information Technology Applications and Management
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• v.22 no.4
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• pp.77-94
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• 2015

This research aims to develope a maturity evaluation model on the technology management competence (MEMTMC) and to investigate the relationship between technology management competencies and maturity evaluation level in Korean firms. After research framework building through literature review and field study focusing on interview process, a maturity evaluation model was suggested, including technology management competency factors such as vision and strategy, leadership, resources, projects, performance management, and systematic procedures. Through the empirical study on the 111 Korean firms, the MEMTMC model was tested and some hypotheses were examined. As a result of the research, we found that the MEMTMC is significant statistically to evaluate the technology management competencies of firms from a practical point of view. Additionally, these findings suggest that firms can build up their technology management competencies, including the vision and strategy, leadership, resources, projects, performance management, and systematic procedures in order to raise their maturity level of technology management competencies. But this research has some limitations such as this MEMTMC has not considered separately the variety of industry, not enough survey respondents and 5 level group firms etc.

• Journal of KIISE:Software and Applications
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• v.36 no.9
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• pp.718-731
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• 2009

Software Maintenance needs to continually improve from corrective maintenance to operational management and service improvement. In this study, we propose a software maintenance maturity model and its evaluation criteria based on 4 maintenance projects of K organization. For the proposal, we derive 13 process areas and 64 evaluation criteria based on some references such as SMMM, ITSMM, ITIL. We evaluate the criteria using 5-point scale, and then establish the maturity model of K organization classified by levels of the maturity model based on the evaluation result. And, to verify and improve the maturity model of K organization, we propose improvements for evaluation criteria. In addition, we apply the maturity model to the 4 projects, evaluate the projects, and propose improvements for the projects based on the evaluation result to identify how the model shows software maintenance improvement.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.213-231
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• 2023

The purpose of this study is to develop and present a model that can evaluate the data maturity of library. To achieve this goal, library data maturity model can be applied to library was designed by analyzing previous studies related to data maturity. As a result of this study, proposed data maturity model consisting of 19 evaluation factors in 5 areas was designed, and the maturity level was set to 5 levels. In the future, it will be possible to measure the data maturity of libraries participating in the library big data project using the data maturity evaluation model, and it can be expected that in the long term, it will be possible to present a direction for data-based library operation and data utilization development.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.243-262
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• 2023

In the rapidly developing information technology environment, information management organizations need to effectively evaluate their digital maturity and clarify the direction of improvement to effectively respond to rapidly changing environments. This study derived weights for the digital curation maturity model developed by KISTI from the perspective of digital transformation to facilitate effective evaluation and direction setting of information management organizations. Relative importance was derived as a weight in the major and middle categories of the model through the AHP technique. Summarizing the results, when the major categories of the entire model are measured on the basis of 100 points, technology is 27 points, data is 24 points, strategy is 19 points, organization (manpower) is 16 points, and (social) influence is calculated as 14 points. In addition, weights for each subcategory were presented for each major classification based on a perfect score of 100 points. It is expected that a more objective and reasonable evaluation will be possible by applying the weights for each area derived from this study to the digital transformation maturity evaluation model.

• Journal of KIISE:Software and Applications
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• v.35 no.2
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• pp.105-117
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• 2008

Generally, project audit provides the service which accomplishes a project successfully by checking the management activity of information system project, indicating a controversial point and reflecting the improvement issues based on project audit check list. In addition, the projects are managed by using the project management maturity model based on process. However, the effect is not big as we except projects performance of real world. In this paper. to solve these problems, the project management maturity evaluation model which is connected with project audit check list and organizational maturity model survey items is designed. Thus, we propose the model which can improve the project performance through the project evaluation of customer's project and development part and the evaluation of organization level as we design that it is possible to not only audit the project but also evaluate it before and after the project.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.148-154
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• 2003

An Evaluation System of Personal Information Competency was developed to evaluate individual Information competency and maturity levels in the enterprises of the information environment. The Evaluation System measures the requirements of information knowledge, skills, and mindset with the evaluation indices of personal information maturity. The indices are customized to four types of business departments - strategy Planning, development/maintenance, business applications, and administration support. Also, a maturity model of personal information competency is defined for interpretation of the evaluation results. The system was applied to assessment of actual human resources, 124 workers in an enterprise, to testify to its practical value. The case evaluation procedures include a series of questionnaires, written tests and application tests.

• ETRI Journal
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• v.28 no.2
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• pp.191-204
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• 2006

Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.59-71
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• 2009

Korean government has operated EA by the act on efficient introduction of information system and operation. etc. But the utilization and the evaluation system for EA don't prepare well. In this study. we analyzed characteristics and advantages of EA maturity models that is developed by some domestic and foreign government departments in logical view. and then we derive evaluation scopes and factors of the models. Also. we applied the models to EA maturity for the B organization and measured maturity levels. We identify similarity and difference between the models. We propose evaluation scopes, levels and factors between the models and solutions for evaluation ambiguity by evaluators and maturity improvement through the identified results.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.251-254
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• 2005

소프트웨어 품질의 중요성이 커짐에 따라, 기업들은 품질을 높이기 위해 테스트에 많은 노력을 기울이고 있다. 최근에는 테스트 성과를 높이기 위한 방법중의 하나로 테스트 프로세스 개선이 주목 받고 있다. 이를 위해 기업들은 SW-CMM(Capability Maturity Model for Software), CMMI(Capability Maturity Model Integration)와 같은 일반적인 프로세스 개선 모델들이나, TMM (Test Maturity Model), TPI (Test Process Improvement Model), TCMM (Testing Capability Maturity Model)과 같은 테스트 프로세스 개선 모델들을 적용하고 있다. 그러나 일반적인 프로세스 개선 모델들은 테스트 관련 이슈를 충분히 다루고 있지 않고, 테스트 프로세스 개선 모델들은 구조가 불완전하거나 내용이 충분하지 않아 적용 시 많은 어려움이 있다. 이에 본 논문에서는 TMM 과 CMMI 를 기반으로 조직들의 테스트 프로세스 확립이나 개선을 지원할 수 있는 새로운 테스트 프로세스 성숙도 모델인 TPMM(Test Process Maturity Model)을 연구, 개발하였다. 개발된 TPMM 을 통해 조직에서 테스트 프로세스를 개선하고, 심사하는 것을 지원할 수 있을 것으로 기대된다.