Blockchain-Based Innovation and Its Impact on Sustainable Institutional Performance in Libyan Universities
DOI:
https://doi.org/10.34125/jerit.v3i1.71Keywords:
Blockchain Technology, Blockchain-Enabled Innovation, Sustainable Institutional Performance, Libyan Universities, Digital Transformation, Partial Least Squares Structural Equation Modeling (PLS-SEM)Abstract
This study aimed to assess the impact of blockchain-enabled innovation (dimensions: processes, services, and business models) on sustainable institutional performance (dimensions: economic, social, and environmental) in Libyan public universities, The study adopted a quantitative methodology with a deductive approach, grounded in the Dynamic Capabilities View (DCV) and Service-Dominant Logic (S-D logic). Primary data were collected through an electronic questionnaire distributed to a sample of academic and administrative leaders, faculty members, and IT specialists. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed using SmartPLS v4 to analyze the data and test the hypotheses. The findings revealed high measurement model quality in terms of reliability, internal consistency, and convergent and discriminant validity. The structural model assessment indicated a strong, positive, and statistically significant effect of blockchain-enabled innovation on sustainable institutional performance (β = 0.865, t = 33.055, p < 0.001). Furthermore, the model demonstrated substantial explanatory power, with blockchain-enabled innovation accounting for 74.9% of the variance in sustainable performance (R² = 0.749), alongside a large effect size (f² = 2.983). The PLSpredict results confirmed strong out-of-sample predictive relevance, with positive Q² values across all dimensions. The study concludes that integrating blockchain as a strategic pillar in university transformation plans is essential, along with implementing smart contracts and micro-credentials to enhance governance reliability and support the transition toward a sustainable green campus.
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