DATA MANAGEMENT SYSTEM ADOPTION: IDENTIFYING AND ADDRESSING ORGANISATIONAL CHALLEGES

Abstract

Data management system adoption presents multifaceted challenges that impede organisational digital transformation initiatives despite widespread recognition of strategic benefits. This research investigates barriers constraining effective adoption within Namibian financial institutions through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT). Employing a mixed-methods approach combining quantitative surveys (n=40) and qualitative interviews (n=10), findings reveal that technical complexity (75% agreement), infrastructure limitations (85% agreement), governance inadequacies (80% agreement), and financial constraints (57.5% agreement) constitute primary adoption impediments. Analysis organised according to UTAUT's four core constructs—Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions—demonstrates that while organisations recognise performance benefits, perceived system difficulty, inadequate enabling infrastructure, and organisational resistance create substantial friction undermining sustained usage. Results indicate that challenges operate interdependently rather than in isolation, with infrastructure deficiencies elevating perceived complexity while governance gaps undermine social influence mechanisms. The study provides evidence-based understanding of adoption barriers and offers strategic recommendations for organisations navigating data management implementation in resource-constrained environments.