The Puzzle of Biometric Attendance in Remote Working Arrangements in Tanzanian Higher Education Institutions: Does It Enhance Academic Staff Job Satisfaction, Accountability, or Symbolic Compliance?

Abstract

The adoption of biometric attendance (BA) systems in Tanzanian higher education institutions has increased as a strategy to enhance accountability and monitor academic staff, particularly in the context of remote teaching and digital academic work. However, a key problem remains: whether biometric attendance in remote working arrangements in Tanzanian higher education institutions enhances genuine accountability and academic staff job satisfaction, or simply records presence and reinforces symbolic compliance. This study examines the influence of biometric attendance systems on job satisfaction, accountability, and symbolic compliance in remote academic environments. The study adopted a systematic literature review design guided by Participatory Governance Theory and Job Demands–Resources (JD–R) Theory, using the PRISMA framework to analyze 42 peer reviewed studies between 2020 and 2026. The findings revealed that biometric systems improve procedural accountability through better attendance tracking and reporting, but are limited in capturing substantive performance outcomes such as online teaching quality, research productivity, virtual supervision, and digital academic administration, suggesting that they are more appropriate for physical campus arrangements than for flexible remote working arrangements, where they may pose risks to job satisfaction. The results also showed that their effect on job satisfaction is mixed, with gains in fairness and transparency occurring alongside reduced autonomy and increased stress, especially in resource-constrained contexts. Furthermore, the study identifies the presence of symbolic compliance, where staff meet attendance requirements without meaningful engagement. The study concludes that biometric systems are insufficient as standalone tools and should be complemented with output-based and participatory approaches.