As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative study applies the Artificially Intelligent Device Use Acceptance (AIDUA) model to examine how job applicants perceive and respond to AI-driven hiring. Drawing on semi-structured interviews with 15 professionals, the study explores how social influence, anthropomorphism, and performance expectancy shape applicant acceptance, while concerns about transparency and fairness emerge as key barriers. Participants expressed a strong preference for hybrid AI-human hiring models, emphasizing the importance of explainability and human oversight. The study refines the AIDUA model in the recruitment context and offers practical recommendations for organizations seeking to implement AI ethically and effectively in selection processes.
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ABSTRACT This study investigates how perceptions of radicalisation and co-occurring mental health issues differ between mental health care and the security domain, and how these perceptions affect intersectoral collaboration. It is generally thought that intersectoral collaboration is a useful strategy for preventing radicalisation and terrorism, especially when it concerns radicalised persons with mental health issues. It is not clear, however, what perceptions professionals have of radicalisation and collaboration with other disciplines. Data was obtained from focus groups and individual interviews with practitioners and trainers from mental health care and the security domain in the Netherlands. The results show a lack of knowledge about radicalisation in mental health care, whereas in the security domain, there is little understanding of mental health issues. This leads to a mad-bad dichotomy which has a negative effect on collaboration and risk management. Improvement of the intersectoral collaboration by cross-domain familiarization, and strengthening of trust and mutual understanding, should begin with the basic training of professionals in both domains. The Care and Safety Houses in the Netherlands offer a sound base for intersectoral collaboration. Future professionals from different domains ought to be familiarized with each other’s possibilities, limitations, tasks, and roles.
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Introduction: Illness Perceptions (IPs) may play a role in the management of persistent low back pain. The mediation and/or moderation effect of IPs on primary outcomes in physiotherapy treatment is unknown. Methods: A multiple single-case experimental design, using a matched care physiotherapy intervention, with three phases (phases A-B-A’) was used including a 3 month follow up (phase A’). Primary outcomes: pain intensity, physical functioning and pain interference in daily life. Analyzes: linear mixed models, adjusted for fear of movement, catastrophizing, avoidance, sombreness and sleep. Results: Nine patients were included by six different primary care physiotherapists. Repeated measures on 196 data points showed that IPs Consequences, Personal control, Identity, Concern and Emotional response had a mediation effect on all three primary outcomes. The IP Personal control acted as a moderator for all primary outcomes, with clinically relevant improvements at 3 month follow up. Conclusion: Our study might indicate that some IPs have a mediating or a moderating effect on the outcome of a matched care physiotherapy treatment. Assessing Personal control at baseline, as a relevant moderator for the outcome prognosis of successful physiotherapy management of persistent low back pain, should be further eplored.
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