Knowledge Management Strategies in EdTech Startups
A Systematic Literature Review From 2011-2024
DOI:
https://doi.org/10.53893/asic.v2i1.495Keywords:
Knowledge Management, EdTech Startups, Systematic Literature Review, Tacit Knowledge, InnovationAbstract
The Educational Technology (EdTech) industry has grown rapidly in the post-COVID-19 era, driven by increasing demand for online learning and competency-based education, making organizational knowledge a critical asset for startup innovation and scalability. This study employs a Systematic Literature Review (SLR), following the PRISMA protocol, to examine Knowledge Management (KM) strategies in EdTech startups during 2019–2024, drawing on international and national academic databases. The findings indicate that hybrid KM strategies combining personalization practices (e.g., mentoring and social learning) with codification mechanisms (e.g., digital repositories and standardized documentation) are most effective in addressing the dynamic and resource-constrained nature of EdTech startups, while emerging technologies such as artificial intelligence and cloud-based systems further enhance KM scalability when aligned with organizational culture and leadership support, offering both theoretical and practical contributions to sustainable KM implementation in EdTech startups.
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