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AHP 기법 기반 디지털 큐레이션 성숙도 모델·지표 가중치 연구: 한국과학기술정보연구원 디지털 큐레이션 성숙도 모델을 중심으로

A Study on Weighting for Digital Maturity Model & Indicators based on AHP Technique: Focusing on Digital Curation Maturity Model of Korea Institute of Science and Technology Information

  • 김성훈 (성균관대학교 문헌정보학과 ) ;
  • 박진호 (한성대학교 도서관정보문화트랙)
  • 투고 : 2023.05.20
  • 심사 : 2023.06.14
  • 발행 : 2023.06.30

초록

정보관리기관은 기관의 디지털 성숙도를 효과적으로 평가하고 개선 방향을 명확히 하여 급속도로 발전하는 정보기술 환경에 대응할 필요가 있다. 본 연구는 급변하는 정보환경 속에서 정보관리기관의 효과적인 평가 및 방향설정이 용이하도록 디지털 전환의 관점에서 KISTI가 개발한 디지털 큐레이션 성숙도 모델의 가중치를 도출하였다. AHP기법을 통해 모델의 대분류와 중분류에서 상대적 중요도를 가중치로서 도출하였다. 그 결과를 정리해 보면, 전체 모형의 대분류를 100점 기준으로 측정할 때 기술은 27점, 데이터는 24점, 전략은 19점, 조직(인력)은 16점, (사회적)영향력은 14점으로 계산 가능하였다. 그리고 각 대분류 내 중분류에 대해서도 세부항목 별 가중치를 각각 100점 만점을 기준으로 제시하였다. 본 연구에서 도출한 영역별 가중치를 디지털전환 성숙도 평가 모델에 적용함으로써 보다 객관적이고 합리적인 평가가 가능할 것으로 기대된다.

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.

키워드

과제정보

본 연구는 2022년도 한국과학기술정보연구원(KISTI) 기본사업 과제 "지능형 과학기술정보 큐레이션 체제 구축" (K-22-L01-C01-S01)으로 수행되었음.

참고문헌

  1. Choi, Min Cheol (2020). Evaluation of analytic hierarchy process method and development of a weight modified model. Management & Information Systems Review, 39(2), 145-162. http://doi.org/10.29214/damis.2020.39.2.009
  2. Heo, Myung-Sook & Cheon, Myun-Joong (2021). A study on the digital transformation readiness through developing and applying digital maturity diagnosis model: focused on the case of a S company in oil and chemical industry. Korean Management Review, 50(1), 81-114. http://doi.org/10.17287/kmr.2021.50.1.81
  3. Hong, Sung-Woo, Choi, Yun-Hee, & Gim, Gwang-Yong (2019). A study of development of digital transformation capacity. Jounal of The Korea Society of Information Technology Policy & Management, 11(5), 1371-1381.
  4. Kim, Sunghun, Do, Seulki, Han, Sangeun, Kim, Jayhoon, Lim, Seok-Jong, & Park, Jin Ho (2022). A study on development of digital curation maturity models and indicators: focusing on KISTI. Journal of the Korean Society for Information Management, 39(4), 269-306. http://doi.org/10.3743/KOSIM.2022.39.4.269
  5. Korea Education and Research Information Service (2021). A Plan to Establish Inclusive Future Education Governance in Response to Digital Transformation. Daegu: Korea Education and Research Information Service.
  6. Korea Institute of Public Administration (2021). Developing a Diagnostic Model for the Digital Transformation Level in the Public Sector. KIPA Report 2021-12.
  7. Korea Institute of Science and Technology Information (2022). Development of Digital Curation Maturity Model and Indicators. K-22-ID-01R-1. Daejeon: Korea Institute of Science and Technology Information.
  8. Lee, Seog-Jun, Park, Eun-Hue, Ra, Jong-Hei, & Choi, Young-Jin (2021). The case study of digital transformation determinants in industries. The Journal of Information Technology and Architecture, 18(4), 319-342. http://10.22865/jita.2021.18.4.319
  9. National Library of Korea (2021. 09. 28.). A national library leading the digital transformation. Available: https://www.nl.go.kr/NL/contents/N50603000000.do?schM=view&id=40107&sch Bcid=normal0302
  10. National Science and Technology Data Center Content Curation Center (2020). Establishment of Science and Technology Content Curation System. Daejeon: Korea Institute of Science and Technology Information.
  11. Park, Seong-Soon & Cho, Kwang-Seop (2021). The Successful Start of Digital Transformation. Samsung SDS Insight Report. Available: https://www.samsungsds.com/kr/insights/dta.html
  12. Roh, Tae Hyup (2022). Digital transformation and introduction of NFT in the art market. The Journal of the Convergence on Culture Technology, 8(1), 261-269. https://doi.org/10.17703/JCCT.2022.8.1.261
  13. Yu, Sungyeol (2012). A study on evaluation model of business process management systems based on analytical hierarchy process. Management & Information Systems Review, 31(4), 433-444. http://doi.org/10.29214/damis.2012.31.4.018
  14. International Institute for Management Development (n.d.). World Digital Competitiveness Ranking 2022. Available: https://www.imd.org/centers/wcc/world-competitiveness-center/rankings/world-digital-competitiveness-ranking/
  15. Organisation for Economic Co-operation and Development (2019). Measuring the Digital Transformation. OECD Publications Centre.
  16. Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. Virginia: McGraw-Hill International Book Company.