Using Knowledge Management System: A Taxonomy of SME Strategies
DOI:
https://doi.org/10.61841/t8ccpx10Keywords:
Knowledge management, Taxonomy,, SME strategiesAbstract
Research on the implementation of knowledge management systems (KMS) in an organization has been written in many scientific articles. This topic has been widely discussed since experts recognize that knowledge is a resource that can provide a competitive advantage for organizations. One interesting scientific article compiled by Roberto Cerchione and Emilio Esposito that identifies in full the taxonomy of KMS used by SME, because the use of KMS can create new opportunities for SME that cause lower- cost weight, more user-friendly and more effective. The identification results in the article clearly help SME to realize their position regarding the diffusion level and the intensity of KMS usage. Unfortunately, in this article, Roberto Cerchione and Emilio Esposito are not sufficiently clear in their method of measuring the intensity of the use of KMS (KM-Tools and KM-Practice) so that readers find it difficult to interpret the main point of the article.
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1. Cerchione, R., & Esposito, E. (2017). Using knowledge management systems: A taxonomy of SME strategies. International Journal of Information Management, 37(z), 1551-1562.
2. Córdova, F. M., & Gutiérrez, F. A. (2018). Knowledge Management System in Service Companies.
Procedia Computer Science, 139(1), 392-400.
3. Nawawi, I., & Fatkhurrozi, B. (n.d.). Studi komparasi kendali motor dc dengan logika fuzzy metode mamdani dan sugeno [Comparative Study of dc motor control with fuzzy logic between the methods of mamdani and sugeno]. 35-44.
4. Primartha, R., & Fathiyah, N. (2013). Sistem pakar fuzzy untuk diagnosis kanker payudara [Fuzzy exert system to diagnose breast cancer]. Generic, 8(1), 190-197.
5. Sunoto, I., & Nulhakim, A. L. (2017). Mengukur tingkat partisipasi pemuda dalam program karang taruna dengan pendekatan metode fuzzy inference system mamdani [Measuring Youth Participation Level in Karang Taruna Program with Fuzzy Method Approach System of Mamdani]. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 8(2), 711
6. K. Gopalakrishnan R. Lakshmanan V. Naveen S. TamilKumaran and S. Venkatesh. "Digital Signature Manager." International Journal of Communication and Computer Technologies 5 (2017), 53-57.
7. Fracasso, C.Paving a new frontier: Near-death experiences and the unspoken aspect of what researchers have faced, and continue to face (2012) NeuroQuantology, 10 (2), pp. 210-215.
8. Geuna, S., Raimondo, S., Fornaro, M., Robecchi, M.G.Morpho-quantitative stereological analysis of peripheral and optic nerve fibers (2012) NeuroQuantology, 10 (1), pp. 76-86.
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