Dr Terfa Swem & Prof Basil A. Akuegwu
Abstract
This study examined the relationship between the management of security variables and academic staff productivity in public universities in Cross River State, Nigeria. Guided by two research questions and two null hypotheses, the study adopted a predictive survey research design. The population comprised 3,248 academic staff from the University of Calabar and the University of Cross River State. A stratified random sample of 336 respondents was drawn using the Taro Yamane formula. A structured questionnaire using a four-point Likert scale served as the data collection instrument. Validity was established through expert review, and reliability was confirmed via Cronbach’s alpha (α = 0.84). Data were analysed using mean, standard deviation, and linear regression at the 0.05 level of significance. Findings revealed that surveillance and monitoring systems significantly predict research output (β = 0.483, p < .05), and that access control measures significantly predict teaching effectiveness (β = 0.417, p < .05) among academic staff. The study concludes that effective security management enhances academic staff productivity. It is recommended that university management should invest in modern surveillance technologies and institutionalise comprehensive access control frameworks to sustain a secure and productive academic environment in all public universities in Cross River State, Nigeria.