Knowledge Management Model for Smart Campus in Indonesia

Deden Sumirat Hidayat and Dana Indra Sensuse
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Deden Sumirat Hidayat: National Research and Innovation Agency (BRIN), Central Jakarta 10340, Indonesia
Dana Indra Sensuse: E-Government & E-Business Laboratory, Faculty of Computer Science, University of Indonesia, Depok 16424, Indonesia

Data, 2022, vol. 7, issue 1, 1-42

Abstract: The application of smart campuses (SC), especially at higher education institutions (HEI) in Indonesia, is very diverse, and does not yet have standards. As a result, SC practice is spread across various areas in an unstructured and uneven manner. KM is one of the critical components of SC. However, the use of KM to support SC is less clearly discussed. Most implementations and assumptions still consider the latest IT application as the SC component. As such, this study aims to identify the components of the KM model for SC. This study used a systematic literature review (SLR) technique with PRISMA procedures, an analytical hierarchy process, and expert interviews. SLR is used to identify the components of the conceptual model, and AHP is used for model priority component analysis. Interviews were used for validation and model development. The results show that KM, IoT, and big data have the highest trends. Governance, people, and smart education have the highest trends. IT is the highest priority component. The KM model for SC has five main layers grouped in phases of the system cycle. This cycle describes the organization’s intellectual ability to adapt in achieving SC indicators. The knowledge cycle at HEIs focuses on education, research, and community service.

Keywords: knowledge management; model; smart campus; higher education institution (HEI); systematic literature review (SLR); preferred reporting items for systematic reviews and meta-analyses (PRISMA); analytic hierarchy process (AHP) (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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