Modelling End Users’ Continuance Intention to Use Information Systems in Academic Settings: Expectation-Confirmation and Stress Perspective

Aim/Purpose: The main aim of this study is to identify the factors that influence continuance intention use innovative systems by non-academic employees a private university and associated academic institutions in Bangladesh. Background: targeted have introduced many new online services aimed at improving students’ access information services, including library, ERP or forum, jobs-tracking system (JTS). This research focused only on JTS for two reasons. First, it one most crucial Daffodil Family, as enables efficient working across institutes spread country abroad. Second, employed wide variety organisational institutes, not just university. aims discover negative lead decrease users’ intentions continue using system. ultimate goal improve motivation among administrative staff technology-related innovation reducing eliminating problems. Methodology: G* power analysis was determine expected sample size. A questionnaire survey conducted 211 users job tracking from Bangladesh, collect data testing suggested model. analysed structural equation technique, which powerful multivariate mechanism. Contribution: contributes body literature helps better understand post-implementation phase JTS. It complements micro-level examinations IT, building our understanding phenomenon individual level. Specifically, examines role technostress where organisations invest IT make their more comfortable with technologies like Findings: develops theoretical advancement expectation-confirmation theory, implications managers senior management dealing IT-related behaviour. All proposed hypotheses were supported. predictors exhaustion – work overload, work–life balance, ambiguity are significant. core satisfaction, perceived usefulness, confirmation, also found be Finally, satisfaction significantly intention, both positive ways. Recommendations Practitioners: gives an idea about some difficulties people face when implementing particularly academia offers insights into strategies may want follow technology suggests increase reduce enhance support change. Recommendation Researchers: Methodologically, provides researchers technique reduces threat common method bias. created psychological separation between criterion predictor variables. variance actively controlled modelling latent factor marker variables can work. Researchers extend model integrating other theories. Impact Society: findings indicate conflict, create tiredness, leading lower user Perceived usefulness confirmation increasingly similar effect subsequent intention. These tell administrators what measures they should take technology. Future Research: studies could conceptualise five-factor personality personal perspective users. extended dimensions absorptive capacity, i.e., dynamic capabilities Absorptive capacity understanding, assimilating, applying might user’s perception