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Mixed-methods study examines wearable technology adoption in Zimbabwean universities, highlighting infrastructure challenges.
Wearable technologies are increasingly recognized as transformative tools for enhancing student wellness, academic performance, and institutional efficiency in higher education. Yet their adoption in Sub-Saharan African universities remains critically understudied, particularly in resource-constrained settings. This study examines wearable technology adoption readiness across five Zimbabwean universities using a sequential explanatory mixed-methods design. Data was collected from 405 participants through structured questionnaires and supplemented key universities staffs. Quantitative data was analyzed using descriptive statistics, chi-square tests, independent samples t-tests, ANOVA, and exploratory factor analysis, while qualitative data underwent reflexive thematic analysis. Findings document a statistically significant interest-knowledge asymmetry (χ2 = 84.32, p < 0.001, Cramér’s V = 0.46), where 70% of students and 66% of staff express strong interest in wearable technologies yet only 25–30% report actual familiarity. Cost emerges as the primary adoption barrier, followed by infrastructure deficits and training gaps, diverging markedly from patterns in well-resourced settings. Drawing on the Technology Acceptance Model, this study proposes infrastructure adequacy as a necessary antecedent condition preceding perceived usefulness and perceived ease of use, empirically supported through exploration factor analysis confirming a three-factor construct structure. A staged adoption prerequisites framework is proposed as a transferable conceptual contribution for comparable Sub-Saharan African settings. Despite favorable policy environments under Education 5.0 and the National Development Strategy 1, a persistent rhetoric-reality gap between policy ambitions and resource allocations remains a fundamental obstacle. Near-universal stakeholder support for public-private partnerships (82–84%) signals a viable pathway forward.
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Mlambo et al. (2026) studied this question.
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