Strategic Sensitivity and Academic Staff Productivity: Evidence from Bamidele Olumilua University, Ikere-Ekiti, Nigeria
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Abstract
This study examined the influence of strategic sensitivity on academic staff productivity at Bamidele Olumilua University, Ikere Ekiti (BOUESTI), Nigeria. A quantitative cross-sectional survey design was employed, targeting a population of 523 full-time academic staff, with 232 valid responses obtained through stratified random sampling. Data were collected using a structured questionnaire measuring strategic agility as environmental scanning, strategic foresight, and strategic responsiveness, and productivity as teaching effectiveness, research output, and institutional service. Descriptive statistics, Pearson correlation, and multiple regression analyses were conducted using SPSS. Findings revealed that academic staff reported moderate to high levels of strategic sensitivity (Mean = 3.71, SD = 0.68) and productivity (Mean = 3.74, SD = 0.65). Pearson correlation showed significant positive associations between all dimensions of strategic sensitivity and productivity (r = 0.41–0.52, p < 0.01). Multiple regression analysis indicated that strategic sensitivity significantly predicts academic staff productivity (F = 42.87, p < 0.001, R² = 0.46). Environmental scanning (β = 0.31, p < 0.001) and strategic foresight (β = 0.28, p < 0.001) were the strongest predictors, while strategic responsiveness also had a moderate but significant effect (β = 0.19, p = 0.008). The study concludes that strategic sensitivity is a key determinant of academic staff productivity, with environmental scanning and foresight playing particularly important roles. Findings support Dynamic Capability Theory, highlighting that faculty ability to sense, anticipate, and respond to environmental changes enhances performance in teaching, research, and institutional service. The study recommends that universities implement professional development programs, provide access to resources, and encourage faculty involvement in strategic decision-making to optimize productivity outcomes.
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References
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