Strategic Decision-Making in Higher Education Learning Management System Adoption using hybrid intuitionistic fuzzy Method

In the context of higher education institutions, the adoption of learning management systems (LMS) represents a critical strategic decision, influenced by complex factors and evolving pedagogical practices. As the digitalization of education accelerates, administrators face the challenge of selecting the most suitable LMS solution amidst a plethora of options. This paper proposes a novel approach to address this challenge, leveraging the intuitionistic fuzzy (IF) criteria importance through intercriteria correlation (CRITIC)This work suggests a novel ranking order strategy that combines the IF criteria importance through intercriteria correlation (CRITIC) -alternative ranking order method accounting for two-step normalization (AROMAN) Method. This technique aims to overcome this hurdle. Method. Drawing upon insights from multi-criteria decision-making (MCDM), this methodology offers a systematic framework for evaluating LMS alternatives while accounting for the inherent uncertainties and subjectivities in the decision-making process.The AROMAN technique—which conducts two-step normalization in an IFenvironment is coupled with the CRITIC paradigm, which examines intercriteria correlations, to improve complicated and uncertain decision-making. The advantages of the suggested approach are shown via an LMS case study. This case study shows how the suggested approach advances open decision-making, consistency, and strategic alignment. The study offers a strong basis for decision-making addressing problems with the use of LMS in higher education. This gift facilitates the digitization of learning surroundings.