Designing knowledge sharing system for statistical activities in bps-statistics indonesia

Dana Indra Sensuse, Viktor Suwiyanto, Sofian Lusa, Arfive Gandhi, Muhammad Mishbah, Damayanti Elisabeth

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Statistics of Indonesia’s (BPS) performance are not optimal since there is a lack of integration among business processes. This has resulted in unsynchronized data, unstandardized business processes, and inefficient IT investment. To encourage more qualified and integrated business processes, BPS should optimize the knowledge sharing process (KSP) among government employees in statistical areas. This study designed a Knowledge Sharing System (KSS) to facilitate KSP in BPS towards knowledge sharing improvement. The KSS manifested a hypothesis that the design of qualified knowledge management can facilitate an organization to overcome the lack of integration among business processes. Hence, BPS can avoid repetitive mistakes, improve work efficiency, and reduce the risk of failure. This study generated a business process-oriented KSS by combining soft system methodology with the B-KIDE (Business process-oriented Knowledge Infrastructure Development) Framework. It delivered research artifacts (a rich picture, CATWOE analysis (costumer, actor, transformation, weltanschauung, owner, environment), and conceptual model) to capture eight mechanisms of knowledge, map them into the knowledge process, and define the applicable technology. The KSS model has perceived a score of 0.40 using the Kappa formula that indicates the stakeholders’ acceptance. Therefore, BPS can leverage a qualified KSS towards the integrated business processes statistically while the hypothesis was accepted.

Original languageEnglish
Article number48
JournalData
Volume6
Issue number5
DOIs
Publication statusPublished - May 2021

Keywords

  • B-KIDE frame-work
  • Design science research
  • Knowledge management
  • Knowledge sharing
  • Soft system methodology

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