Educational Data Processing Centers; Determinants of Security Innovations at Higher Education Institutions

Abstract

Higher education institutions are facing unprecedented security challenges due to the increasing recognition of the importance of integrating technology into the core business of teaching and learning. This study sought to investigate the determinants of security innovation for data processing centers of higher educational institutions. Studies related to security innovation of higher educational institutions are limited considering the vast amount of data processing centers deployed for academic operations. In all, 300 respondents were selected from higher education institutions to participate in a survey to test the proposed model by using multinomial logistic regression. The study found out that four predictor variables; relative advantage, complexity, board approval, and IT competencies were significant and hence the model was suitable for studying security innovation at the organizational level.