# Perceived Usefulness of a Mandatory Information System
## 2 Literature Review
A systematic review of educational technology adoption revealed that the technology acceptance model (TAM) and its extensions are widely used, with self-efficacy and subjective norms as common predictors [38]. Another review focused on AI-infused systems, emphasizing the importance of transparency and compatibility [39]. In nursing education, constructivist theories are frequently employed to inform technology-enhanced learning interventions [40]. This concept is further explored in the study by [41], which categorizes user responses to new IT systems in the workplace as engaged, compliant, reluctant, or deviant. Using a coping theoretic approach and drawing from interviews with physicians, the study provides insights into user behavior in mandatory IT environments and strategies for managing organizational change. The study on the adoption of e-learning by Taiwanese nurses explores how factors such as system quality, information quality, service quality, and user-interface design influence acceptance [42]. It highlights that effective content, design, and support are crucial for enhancing e-learning acceptance and emphasizes the need to balance practicality with enjoyment in learning. However, the focus on Taiwan and the cross-sectional approach indicate the need for further research on cultural influences and evolving trends in e-learning adoption [42]. Recent studies have explored technology acceptance in various contexts, including virtual reality in construction safety training [43], mandatory digital learning in higher education [27], and e-learning platforms [34]. Meta-analyses have provided comprehensive overviews of factors influencing technology acceptance [11; 30]. Research has also examined the acceptance of intelligent information technology [9] and AI-infused systems [39], highlighting the importance of psychological, technological, and risk perception factors. In the context of smart cities, studies have focused on individual-based explicit technologies, with perceived usefulness and ease of use remaining relevant predictors of acceptance [44]. Refs. [3; 45] further examine the interplay between user attitudes and technology acceptance in mandatory systems. Their studies underscore the strong relationship between motivation, perceived usefulness, ease of use, and employee performance, with a particular emphasis on perceived ease of use driving satisfaction and acceptance. Lastly, ref. [46] addresses the gap in research on emergency management information systems. By adapting existing technology acceptance models, they explore factors influencing the acceptance of emergency operations center information systems. In summary, this literature review underscores the evolving nature of technology acceptance, especially in mandatory use environments. It points to the necessity of ongoing research to adapt existing models for diverse contexts and to explore the multitude of factors influencing technology acceptance and adoption, including user attitudes, system quality, and the environment of use. These studies collectively highlight the importance of considering diverse factors across different applications and user groups to develop more comprehensive technology acceptance models.