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The purpose of this study is to examine a mobile delivery system as a working ubiquitous decision support system (UDSS) and determine whether it would improve decision quality.

Ubiquitous mobility and context awareness are the two core functions of the UDSS. Hence the authors examined how they might influence individual absorptive capacity and perceived usefulness. Moreover the authors investigated how individual absorptive capacity and perceived usefulness might be related to decision quality. A total of 174 completed questionnaires were collected from delivery workers, and a financial incentive was provided to participants. To test the hypotheses the research model was analysed with the partial least square method.

The results reveal that all paths are statistically valid. Individual absorptive capacity and perceived usefulness were positively influenced by ubiquitous mobility and context awareness. In addition individual absorptive capacity and perceived usefulness have positive effects on decision quality.

This research model did not consider all the capabilities enabled by the UDSS. Future study should pay attention to nomadicity, proactiveness, invisibility, and portability as relevant antecedents within the model.

In the field of IS studies the impact of the UDSS on users' decision quality has remained unclear to date. The authors adopted a mobile delivery system as a working UDSS and applied it in their study. Thereby the authors found the mediating effects of perceived usefulness and absorptive capacity under a ubiquitous environment.

This study aims to examine the effects of system and information characteristics in developing users' perceptions towards ubiquitous decision support systems (UDSS).

The research model is empirically examined with survey data from 218 mobile users who have adopted a UDSS, i.e. mobile Dianping.com. A structural equation modelling approach is employed to assess the hypotheses.

The findings demonstrate that system characteristics of wireless networks, mobile devices and mobile applications significantly predicted system quality, which in turn determined system usefulness. Localisation, immediacy and customisation of mobile word‐of‐mouth were the major predictors of information quality, which in turn determined information usefulness.

This study contributes to our current understanding of ubiquitous commerce, especially mobile word‐of‐mouth, by presenting an integrated research framework, identifying system and information characteristics that are specific to the ubiquitous era, extending system quality and system usefulness from a single system to a combination of systems, and empirically examining the crossover effects between system and information factors.

This paper briefly describes an approach to determine the optimum magnetic circuit parameters to minimize low speed torque ripple for switched reluctance (SR) motors. For prediction of the torque ripple, normalized data obtained from field solution and a neural network approach is used. Comparison of experimental results with computations illustrates the accuracy of the method. The optimization method is briefly described and some results are presented.

The use of drug detection (sniffer) dogs in psychiatric settings divides opinion among clinicians and service users alike. This paper provides an overview of the use of these dogs within a Medium Secure Unit (MSU). The approach described seeks to challenge preconceptions and suggests that dog searching should be one component of a wider therapeutic approach to working with patients with co‐existing mental health and substance misuse problems.

The paper reflects on ten years' experience of using drug detection dogs in MSUs.

A model is presented to promote a more therapeutic and recovery‐orientated use of dogs. This incorporates: using readily accessible dogs; carrying out proactive, rather than reactive, searches; operating in an informal and relaxed manner; being motivated by the information gained rather than the drugs found; responding differently to suppliers/dealers and users; and aiming to build therapeutic relationships with patients.

A scale is presented which categorises the severity of substance misuse within a service. Drug dogs can be used therapeutically on psychiatric wards to promote a drug‐free environment, but this practice should form part of a wider strategy to promote recovery. Investment in proactive searching may produce reductions in substance misuse.

The paper will be of value to clinicians and service/security managers involved in the management of substance misuse on inpatient wards (particularly MSUs) where there is a drive to integrate drug detection dogs within a recovery‐oriented framework.

The purpose of this study is to identify the significant demographic and socio-economic characteristics of individuals who are likely to invest in a fraudulent investment scheme. It also quantifies the extent to which financial literacy helps in reducing the odds of investments in such schemes. Based on these findings, it provides policy recommendations to regulators and governments.

This study uses nationally representative data from the “India Assessment of Financial Capability 2018” survey. It further uses logistic regression with a binary outcome variable to assess the individual-level odds of investments in fraudulent investment schemes.

This study concludes that males between 40 and 59 years of age, who are well-educated (are at least graduates), score low in financial literacy, belong to the middle-income group, and SEC A3 households are most vulnerable to victimization by financial fraudulent investment schemes. It finds that financial literacy significantly reduces the odds of investment into fraudulent schemes to the extent of 39.118%.

This study quantifies the extent to which financial literacy helps in reducing the odds of individual investments in a fraudulent investment scheme. As financial literacy has a significant and negative relationship with the likelihood of investment in such schemes, this study provides policy interventions and recommendations to regulators and governments to safeguard the interest of individual investors.