Attendance Information System Success in Mandatory Use Contexts: An Integrated TAM–DeLone and McLean–TPB Framework in Higher Education
Year: 2026
Type: article
Study design: Observational Study
Abstract: Mandatory information systems present a fundamental challenge to IS success theory: institutional enforcement guarantees usage but not acceptance, rendering conventional adoption metrics inadequate in non-voluntary contexts. This study examines the determinants of success of a mandatory mobile attendance application at a single higher education institution, investigating how technical quality dimensions and behavioral factors jointly produce user satisfaction and perceived organizational benefit. An integrated TAM–DeLone and McLean–TPB framework was tested using PLS-SEM on data collected from 140 university lecturers through an online survey. All eight hypotheses were empirically tested; seven were supported. Service quality was the strongest predictor of perceived usefulness (β = 0.399), followed by system quality (β = 0.317) and information quality (β = 0.149). Perceived usefulness (β = 0.592) and social influence (β = 0.368) significantly shaped attitude, while perceived behavioral control exerted no significant effect (β = −0.073, p = 0.299). Attitude strongly predicted user satisfaction (β = 0.825), which in turn predicted perceived net benefits (β = 0.731). This study contributes an empirically tested integrated TAM–DeLone and McLean–TPB model within a mandatory-use IS context. The findings suggest that IS success is mediated principally through psychological mechanisms rather than technical attributes alone, and that user attitude is the ultimate gateway to perceived organizational benefit. Future research may extend this framework to multi-institutional and longitudinal settings, incorporating privacy concern and perceived surveillance as additional constructs.
Authors: Sri Handayaningsih, Ardiansyah
Institution: Universitas Ahmad Dahlan
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $32
OpenAlex ID: W7223449569