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4.1 IntroductionThe use of coercive measures generally has negative effects on patients. To help prevent its use, professionals need insight into what nurses believe about coercion and which staff determinants may influence its application. There is need for an integrated review on both attitude and influence of nurses on the use of coercion.4.2 AimTo summarize literature concerning attitude of nurses towards coercive measures and the influence of staff characteristics on the use of coercive measures.4.3 MethodSystematic review.4.4 ResultsThe attitude of nurses changed during the last two decades from a therapeutic to a safety paradigm. Nurses currently view coercive measures as undesirable, but necessary to deal with aggression. Nurses express the need for less intrusive interventions, although familiarity probably influences its perceived intrusiveness. Literature on the relation between staff characteristics and coercive measures is inconclusive.4.5 DiscussionNurses perceive coercive measures as unwanted but still necessary to maintain safety on psychiatric wards. Focussing on the determinants of perception of safety might be a promising direction for future research.4.6 Implications for practiceMental health care could improve the focus on the constructs of perceived safety and familiarity with alternative interventions to protect patients from unnecessary use of coercive interventions.
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Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. Our motivation stems from the need for aviation organisations to develop decision support systems for operational aviation settings, able to feed-in in the organisations’ fatigue risk management efforts. Key criteria to this end are the need for the least possible intrusiveness and the added information value for a safety system. Departing from the problems in compliance-focused fatigue risk management and the intrusive nature of clinical studies, we report a neuroscientific methodology able to yield markers that can be easily integrated in a decision support system at the operational level. Reporting the preliminary phase of our live project, we evaluate the tools suitable for the development of a system that tracks subtle pilot states, such as drowsiness and micro-sleep episodes.
Smartphone apps allow retailers to track the location of their customers and provide the opportunity to reach them with location-based mobile ads. However, the efficacy of these ads often suffers from consumers’ feelings of intrusiveness. Little research has investigated how location-based mobile messages should be designed to maximize their effectiveness and avoid undesired outcomes such as feelings of intrusiveness. The present study tested the effect of openness in ad design, in interaction with location congruency of mobile advertising, using a virtual reality supermarket setting. A process of moderated serial mediation demonstrates indirect positive effects of ad openness on brand choice (via intrusiveness and Aad), moderated by location congruency. Specifically, openness in mobile ad design lowers perceived ad intrusiveness, which positively affects consumers’ brand choice (via Aad). This effect is stronger for ads that are presented in a location-congruent situation than for location-incongruent ads.
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PurposeThis study aims to develop an understanding of how customers of a physical retail store valuate receiving location-based mobile phone messages when they are in proximity of the store. It proposes and tests a model relating two benefits (personalization and location congruency) and two sacrifices (privacy concern and intrusiveness) to message value perceptions and store visit attitudes.Design/methodology/approachThe study uses a vignette-based survey to collect data from a sample of 1,225 customers of a fashion retailer. The postulated research model is estimated using SmartPLS 3.0 with the consistent-PLS algorithm and further validated via a post-hoc test.FindingsThe empirical testing confirms the predictive validity and robustness of the model and reveals that location congruency and intrusiveness are the location-based message characteristics with the strongest effects on message value and store visit attitude.Originality/valueThe paper adds to the underexplored field of store entry research and extends previous location-based messaging studies by integrating personalization, location congruency, privacy concern and intrusiveness into one validated model.
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