Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution
The performance of XYZ, a Government Higher Educational Institution (GHEI) in Indonesia is assessed through two unintegrated applications. The 2023 target performance was missed due to miscalculations outside applications while transforming large data amounts. Thus, business intelligence (BI) serves...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2024-12-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
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| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6005 |
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| author | Boy Sandi Kristian Sihombing Fatoumatta Binta Jallow Ghina Fitriya Dana Indra Sensuse Sofian Lusa Damayanti Elisabeth Nadya Safitri |
| author_facet | Boy Sandi Kristian Sihombing Fatoumatta Binta Jallow Ghina Fitriya Dana Indra Sensuse Sofian Lusa Damayanti Elisabeth Nadya Safitri |
| author_sort | Boy Sandi Kristian Sihombing |
| collection | DOAJ |
| description | The performance of XYZ, a Government Higher Educational Institution (GHEI) in Indonesia is assessed through two unintegrated applications. The 2023 target performance was missed due to miscalculations outside applications while transforming large data amounts. Thus, business intelligence (BI) serves as a knowledge management (KM) tool to integrate those applications to achieve XYZ's target. Because BI is costly and has a 70% failure rate of development plans, a research model was evaluated to look at the current XYZ innovation capability for successful BI adoption from the KM foundation and KM solution implementation. This study used a quantitative method, employing a questionnaire for 94 civil servants and the partial least squares-structural equation model (PLS-SEM) for data analysis. Results indicate in the KM foundation, organizational (O) negatively influences KM process application (KMP) (β = -0.292, Pv = 0.010) while KM infrastructure (I) and process (P) positively influence KMP, but KM technology (T) does not. In KM solutions, KMP is proven to be linked to innovation capability when KM systems are lacking. Hence, several activities are suggested to activate T through T, O, P, and I. The model validated 80% of the hypotheses, laying the groundwork for future studies into which aspects of T strengthen innovation capabilities in GHEI. |
| format | Article |
| id | doaj-art-5f5238dc149e4df587070a3312967ef9 |
| institution | Kabale University |
| issn | 2580-0760 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj-art-5f5238dc149e4df587070a3312967ef92025-01-13T03:30:32ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602024-12-018682883810.29207/resti.v8i6.60056005Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational InstitutionBoy Sandi Kristian Sihombing0Fatoumatta Binta Jallow1Ghina Fitriya2Dana Indra Sensuse3Sofian Lusa4Damayanti Elisabeth5Nadya Safitri6Universitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaUniversitas IndonesiaThe performance of XYZ, a Government Higher Educational Institution (GHEI) in Indonesia is assessed through two unintegrated applications. The 2023 target performance was missed due to miscalculations outside applications while transforming large data amounts. Thus, business intelligence (BI) serves as a knowledge management (KM) tool to integrate those applications to achieve XYZ's target. Because BI is costly and has a 70% failure rate of development plans, a research model was evaluated to look at the current XYZ innovation capability for successful BI adoption from the KM foundation and KM solution implementation. This study used a quantitative method, employing a questionnaire for 94 civil servants and the partial least squares-structural equation model (PLS-SEM) for data analysis. Results indicate in the KM foundation, organizational (O) negatively influences KM process application (KMP) (β = -0.292, Pv = 0.010) while KM infrastructure (I) and process (P) positively influence KMP, but KM technology (T) does not. In KM solutions, KMP is proven to be linked to innovation capability when KM systems are lacking. Hence, several activities are suggested to activate T through T, O, P, and I. The model validated 80% of the hypotheses, laying the groundwork for future studies into which aspects of T strengthen innovation capabilities in GHEI.https://jurnal.iaii.or.id/index.php/RESTI/article/view/6005business intelligencefoundationgovernment higher educational institutionknowledge managementpartial least squares-structural equation modelsolutions |
| spellingShingle | Boy Sandi Kristian Sihombing Fatoumatta Binta Jallow Ghina Fitriya Dana Indra Sensuse Sofian Lusa Damayanti Elisabeth Nadya Safitri Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) business intelligence foundation government higher educational institution knowledge management partial least squares-structural equation model solutions |
| title | Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution |
| title_full | Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution |
| title_fullStr | Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution |
| title_full_unstemmed | Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution |
| title_short | Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution |
| title_sort | knowledge management foundation and solutions implementation in indonesian government higher educational institution |
| topic | business intelligence foundation government higher educational institution knowledge management partial least squares-structural equation model solutions |
| url | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6005 |
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