Exploring the Soft System Methodology in Development of Knowledge Management Conceptual Model a Sytematic Literature Review

  • Dana Indra Sensuse Faculty of Computer Science, Universitas Indonesia, Depok
  • Arfive Gandhi Faculty of Computer Science, Universitas Indonesia, Depok
  • Yudho Giri Sucahyo Faculty of Computer Science, Universitas Indonesia, Depok
Keywords: knowledge management, Soft system methodology, Conceptual model, Systematic literature review, SSM, KM conceptual model

Abstract

Soft System Methodology (SSM) is common guidance to conceptualise Knowledge Management (KM) model since its benefit to handle complex situations. This study highlights SSM implementation on KM conceptual model using Systematic Literature Review (SLR) to produce insights about current implementation and promising chances in the future. This study also concerns on KM conceptual models as created without certain features in many case studies. Many various interpretation can arise to understand how system should work. This situation affected more spending time to validate KM conceptual model with stakeholders. Using SLR, this study criticises the importance of features as provided in eligible articles. Out of 144 articles from 2009 until 2019 as delivered from Scopus query, this study selected 12 articles about SSM on KM. It classified them into several criteria: published year, sector, and related KM life cycle. By mapping them to solve research questions, this study promoted actors, activities, and sequential order of activities as recommended features. By implementing them, KM conceptual model creation can be faster and accepted by stakeholders.

Author Biographies

Dana Indra Sensuse, Faculty of Computer Science, Universitas Indonesia, Depok

Dr Dana Indra Sensuse, is Ph.D. and currently a Head of e-Government and e-Business Laboratory in Faculty of Computer Science, Universitas Indonesia. He received his ph.D. from University of Toronto in 2004 after finished Master and Bachelor Degree from Dalhousie University and Bogor Agriculture University respectively. His current research interests include knowledge management, information systems, smart city, electronic government, and IT governance

Arfive Gandhi, Faculty of Computer Science, Universitas Indonesia, Depok

Mr Arfive Gandhi, is currently pursuing the ph.D. degree in Faculty of Computer Science, Universitas Indonesia. His current research interests include digital business, information security, electronic government, and user experience. Since 2018, he has managed a research team to explore gig economy ecosystem as trending phenomenon in Indonesian landscape.

Yudho Giri Sucahyo, Faculty of Computer Science, Universitas Indonesia, Depok

Dr Yudho Giri Sucahyo, is Ph.D. and currently Associate Professor in Faculty of Computer Science, Universitas Indonesia. He received his Ph.D. and Master degree from Curtin University, Australia after finished bachelor degree in Universitas Indonesia. His current research interests include digital business, risk management, information security, IT governance, electronic government, and data mining.

Published
2019-09-12
How to Cite
Sensuse, D., Gandhi, A., & Sucahyo, Y. (2019). Exploring the Soft System Methodology in Development of Knowledge Management Conceptual Model a Sytematic Literature Review. DESIDOC Journal of Library & Information Technology, 39(5), 259-266. https://doi.org/10.14429/djlit.39.5.14698
Section
Review Paper