Manajemen Pengetahuan Dalam Organisasi Global : Systematic Literature Review

Fathullah Fathullah, Mochammad Isa Anshori

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Penelitian ini mengulas secara sistematis literatur terkait manajemen pengetahuan dalamorganisasi global, dengan fokus pada tantangan, praktik, dan strategi efektif. Menggunakan pendekatan Systematic Literature Review (SLR) berdasarkan protokol PRISMA, sebanyak 99.424 artikel awal diidentifikasi melalui pencarian database, yang disaring menjadi 10 artikel relevan untuk analisis mendalam. Hasil menunjukkan bahwa manajemen pengetahuan di organisasi global menghadapi tantangan signifikan seperti perbedaan budaya, geografis, dan teknologi. Sistem berbasis teknologi informasi digunakan untuk mengatasi hambatan ini, memfasilitasi transfer pengetahuan eksplisit dan tacit antar cabang. Selain itu, penelitian ini mengidentifikasi enam kelompok motivasi akademisipraktis, bisnis, instrumental, pematuh, teoretis, dan fasilitator hubunganyang memengaruhi dinamika manajemen pengetahuan. Temuan menunjukkan perlunya kebijakan institusional yang mendukung beragam motivasi untuk menciptakan lingkungan kolaboratif dan produktif. Penelitian ini memberikan wawasan tentang bagaimana manajemen pengetahuan dapat meningkatkan kinerja, inovasi, dan adaptasi organisasi global dalam menghadapi perubahan lingkungan bisnis yang dinamis.

Kata Kunci : Manajemen pengetahuan, Organisasi global, Systematic literatur review


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Referensi


Bamford, D., Reid, I., Forrester, P., Dehe, B., Bamford, J., & Papalexi, M. (2024). An empirical investigation into UK university–industry collaboration: the development of an impact framework. Journal of Technology Transfer, 49(4), 1411–1443. https://doi.org/10.1007/s10961-023-10043-9

Bartlett, C. A., & Ghoshal, S. (1989). Managing across borders: The transnational solution. Harvard Business Press. 156-159 (4) https://dx.doi.org/10.2307/258620

Bocoya-Maline, J., Calvo-Mora, A., & Rey Moreno, M. (2024). Predictive and mediation model for decision-making in the context of dynamic capabilities and knowledge management. Management Decision, 62(7), 2164–2188. https://doi.org/10.1108/MD-06-2023-0956

Choi, C., & Kim, J. (2024). Outperforming the tutor: Expert-infused deep reinforcement learning for dynamic portfolio selection of diverse assets. Knowledge-Based Systems, 294. https://doi.org/10.1016/j.knosys.2024.111739

Davenport, T. H., & Prusak, L. (1998). Working Knowledge: How Organizations Manage What They Know. Harvard Business Press. https://dx.doi.org/10.1145/348772.348775

Fischer, C. (2024). Motivated to share? Development and validation of a domain-specific scale to measure knowledge-sharing motives. VINE Journal of Information and Knowledge Management Systems, 54(4), 861–895. https://doi.org/10.1108/VJIKMS-09-2021-0200

Gordienko, Y., Trochun, Y., & Stirenko, S. (2024). Multimodal Quanvolutional and Convolutional Neural Networks for Multi-Class Image Classification. Big Data and Cognitive Computing, 8(7). https://doi.org/10.3390/bdcc8070075

Grant, R. M. (1996). Toward a Knowledge-based Theory of the Firm. Strategic Management Journal, 17(S2), 109-122. http://dx.doi.org/10.1002/smj.4250171110

Hill, C. W. L. (2013). International Business: Competing in the Global Marketplace (9th ed.). McGraw-Hill Education. Vol. 24 No. 9. https://doi.org/10.1108/sd.2008.05624iae.001

Hitt, M. A., Ireland, R. D., & Hoskisson, R. E. (2017). Strategic Management: Concepts and Cases (12th ed.). Cengage Learning.

Hsieh, J.-K., Fang, Y.-H., & Liao, C. H. (2024). The power of choice: Examining how selection mechanisms shape decision-making in online community engagement. Decision Support Systems, 182. https://doi.org/10.1016/j.dss.2024.114250

Kapousizis, G., Sarker, R., Baran Ulak, M., & Geurs, K. (2024). User acceptance of smart e-bikes: What are the influential factors? A cross-country comparison of five European countries. Transportation Research Part A: Policy and Practice, 185. https://doi.org/10.1016/j.tra.2024.104106

Kotabe, M., & Helsen, K. (2017). Global Marketing (7th ed.). Wiley. Pages 329-331 https://doi.org/10.1080/08911760903022556

Mostofa, M., & Othman, R. (2024). User awareness of knowledge management practices of public university libraries in Bangladesh: A study. Record and Library Journal, 10(1), 76–92. https://doi.org/10.20473/rlj.V10-I1.2024.76-92

Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press. https://doi.org/10.1057/jibs.1996.13

Singh, N., Pandey, R., Gupta, R., Biswas, B., & Gupta, S. (2024). Reverse knowledge transfer: making sense of two decades of academic research. VINE Journal of Information and Knowledge Management Systems, 54(5), 1092–1123. https://doi.org/10.1108/VJIKMS-08-2021-0155

Vega, A., Gabbioneta, C., Osorio, C., & Cunningham, J. (2024). A micro-level study of research impact and motivational diversity. Journal of Technology Transfer, 49(4), 1303–1346. https://doi.org/10.1007/s10961-023-10040-y




DOI: https://doi.org/10.37531/yum.v8i1.7824

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