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This commentary explores the challenges and themes enumerated by the associated article “Why am I still in hospital? Evaluation of delayed discharges from two learning disability assessment and treatment units in England”. This commentary broadens and outlines the research’s background, premise and potential impact. This paper aims to critically examine the evidence on this subject.

This commentary considers the attitudes to inpatient care for people with learning disabilities in the past decade and outlines a possible compact for the future.

Contrary to popular and emotive beliefs that using specialist inpatient psychiatric settings for people with learning disabilities is universally a poor practice, there are defined occasions when such settings are needed and imperative in the clinical pathway. If people with learning disabilities can access inpatient settings at the right time for the right reason, psychiatric outcomes could be improved. Timely discharge is imperative and currently lacking due to a lack of suitable engagement mechanisms between inpatient settings and the community. Thus, evidence-based outcome tools are essential to facilitate appropriate discharge.

There is an ongoing debate on the value and utility of specialist inpatient psychiatric units for people with learning disabilities. This commentary provides a balanced, evidence-based insight into this discussion.

There is increasing emphasis on caring for people with intellectual disabilities in the least restrictive, ideally community settings. Therefore, the purpose of this paper is to explore the risk factors considered by clinicians involved in discharging people from secure services.

The views of five senior clinicians were sought in semi structured interviews. Data were analysed thematically.

Themes related to risk assessment, risk management, and multidisciplinary and multiagency working. Illustrative quotes are used to evidence themes.

This study described the risk assessment and management factors considered during the discharge of patients from secure to community services, which are of direct relevance to multiple stakeholders post-Winterbourne.

Challenges when facilitating discharge were highlighted, such as ongoing risk management issues, or unexpected discharge from tribunals, and how these were addressed, via the development of extensive risk assessment and management processes, and interdisciplinary and interagency working.

Clinical risks can be contained through risk management initiatives, and can also be used to demonstrate effective clinical governance. The purpose of this paper is to outline a new risk assessment tool that monitors the risk factors of sudden unexpected death in epilepsy (SUDEP).

A systematic review of the literature was undertaken to determine the contributory risk factors of SUDEP. A total of 18 factors were identified, of which 11 were modifiable and therefore have the potential to influence the risk of SUDEP.

The factors identified from the literature review have been populated into a Microsoft Excel® spreadsheet with drop-down boxes for the responses to each factor. No attempt has been made to rank these risk factors. Neuropsychiatrists piloting the tool in clinical practice have found the tool simple and quick to use. A printout of the checklist is placed in the patient's medical notes as evidence. Where an overall SUDEP risk rating is increasing, the clinical team can intervene to mitigate the risks.

The checklist brings together factors identified in a systematic review of the literature in order to inform clinical practice in mental health. In parallel with using the checklist in practice, a broader team is undertaking an explorative retrospective case-control research study to determine whether it is possible to rank the risk factors; this will inform a more sophisticated risk assessment tool.

The purpose of the paper is to investigate the relationship between empowering leadership and the innovative work behavior of employees. Utilizing a moderated mediation mechanism, the study additionally uncovers the mediating impact of knowledge sharing and the moderating influence of role clarity in the proposed model.

Cross-sectional design was used in the study, and developed questionnaires were administered to 235 supervisor-subordinates dyads working in Indian organizations to test the proposed relationships. SPSS 20 and AMOS 20 were used for statistical analysis.

The hypothesized moderated mediation model was supported. Knowledge sharing mediated the relationship between empowering leadership and innovative work behavior. The moderating impact of role clarity between empowering leadership and knowledge sharing was supported. It was also observed that stronger role clarity strengthened the indirect relationship between empowering leadership and innovative work behavior. Overall, the study shows that empowering leaders creates a cultivating climate for innovative work behavior by encouraging knowledge sharing among the members subject to clear identification of employee roles.

Cross-sectional design of the study limits the authors from drawing definitive generalizations. Self-reported measures used in the study increase the chances of bias.

Findings of the study can be utilized by leaders for promoting innovative work behavior in the organization, which has been identified as a key to organizational growth and development.

The study attempts to address the under developed relationship between empowering leadership and innovative work behavior.

The cold chain has become an integral part of the supply chain of perishable items. Recent studies have shown a critical absence of a strong and dependable cold chain in developing economies. The purpose of this paper is to set out to identify and inter‐relate the inhibitors that significantly influence the efficiency of a cold chain in developing economies like India.

The synthesis and prioritization of inhibitors are done on the basis of an extensive literature review as well as consultation with academicians and industrial professionals. Using semi‐structured interviews and Fuzzy Interpretive Structure Modeling (FISM) approach, the research presents a hierarchy‐based model.

The end result is a model that establishes the relationships among the identified inhibitors with their respective dominance. The research shows that there exists a group of inhibitors having a high driving power and low dependence with strategic importance and requiring maximum attention and another group includes inhibitors that have high dependence and the consequential actions.

At the time when cold chain is the key domain for the food sector, these findings will be immensely helpful for industry professionals, Government, non‐government, academia and the community in developing strategies and impounding the root causes responsible for the inefficient and weak cold chain in India. The Indian situation echoes to the situation in most of the developing economies and similar solutions can apply there also. These findings will be truly useful for organizations that are planning to operate food chains in developing nations.

Presentation of inhibitors in hierarchy and their classification into driver and dependent categories with their respective dominance on the system is a unique effort in the area of cold chain management. This would help decision makers to better utilize the limited resources.

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.

Recently, disruptive technologies (DTs) have proposed several innovative applications in managing logistics and promise to transform the entire logistics sector drastically. Often, this transformation is not successful due to the existence of adoption barriers to DTs. This study aims to identify the significant barriers that impede the successful adoption of DTs in the logistics sector and examine the interrelationships amongst them.

Initially, 12 critical barriers were identified through an extensive literature review on disruptive logistics management, and the barriers were screened to ten relevant barriers with the help of Fuzzy Delphi Method (FDM). Further, an Interpretive Structural Modelling (ISM) approach was built with the inputs from logistics experts working in the various departments of warehouses, inventory control, transportation, freight management and customer service management. ISM approach was then used to generate and examine the interrelationships amongst the critical barriers. Matrics d’Impacts Croises-Multiplication Applique a Classement (MICMAC) analysed the barriers based on the barriers' driving and dependence power.

Results from the ISM-based technique reveal that the lack of top management support (B6) was a critical barrier that can influence the adoption of DTs. Other significant barriers, such as legal and regulatory frameworks (B1), infrastructure (B3) and resistance to change (B2), were identified as the driving barriers, and industries need to pay more attention to them for the successful adoption of DTs in logistics. The MICMAC analysis shows that the legal and regulatory framework and lack of top management support have the highest driving powers. In contrast, lack of trust, reliability and privacy/security emerge as barriers with high dependence powers.

The authors' study has several implications in the light of DT substitution. First, this study successfully analyses the seven DTs using Adner and Kapoor's framework (2016a, b) and the Theory of Disruptive Innovation (Christensen, 1997; Christensen et al., 2011) based on the two parameters as follows: emergence challenge of new technology and extension opportunity of old technology. Second, this study categorises these seven DTs into four quadrants from the framework. Third, this study proposes the recommended paths that DTs might want to follow to be adopted quickly.

The authors' study has several managerial implications in light of the adoption of DTs. First, the authors' study identified no autonomous barriers to adopting DTs. Second, other barriers belonging to any lower level of the ISM model can influence the dependent barriers. Third, the linkage barriers are unstable, and any preventive action involving linkage barriers would subsequently affect linkage barriers and other barriers. Fourth, the independent barriers have high influencing powers over other barriers.

The contributions of this study are four-fold. First, the study identifies the different DTs in the logistics sector. Second, the study applies the theory of disruptive innovations and the ecosystems framework to rationalise the choice of these seven DTs. Third, the study identifies and critically assesses the barriers to the successful adoption of these DTs through a strategic evaluation procedure with the help of a framework built with inputs from logistics experts. Fourth, the study recognises DTs adoption barriers in logistics management and provides a foundation for future research to eliminate those barriers.

The purpose of this paper is to assess steady, two-dimensional natural convection flow of a viscoelastic, incompressible, electrically conducting and optically thick heat-radiating nanofluid over a linearly stretching sheet in the presence of uniform transverse magnetic field taking Dufour and Soret effects into account.

The governing boundary layer equations are transformed into a set of highly non-linear ordinary differential equations using suitable similarity transforms. Finite element method is used to solve this boundary value problem. Effects of pertinent flow parameters on the velocity, temperature, solutal concentration and nanoparticle concentration are described graphically. Also, effects of pertinent flow parameters on the shear stress, rate of heat transfer, rate of solutal concentration and rate of nanoparticle concentration at the sheet are discussed with the help of numerical values presented in graphical form. All numerical results for mono-diffusive nanofluid are compared with those of double-diffusive nanofluid.

Numerical results obtained in this paper are compared with earlier published results and are found to be in excellent agreement. Viscoelasticity, magnetic field and nanoparticle buoyancy parameter tend to enhance the wall velocity gradient, whereas thermal buoyancy force has a reverse effect on it. Radiation, Brownian and thermophoretic diffusions tend to reduce wall temperature gradient, whereas viscoelasticity has a reverse effect on it. Nanofluid Lewis number tends to enhance wall nanoparticle concentration gradient.

Study of this problem may find applications in engineering and biomedical sciences,e.g. in cooling and process industries and in cancer therapy.

Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors affecting practical implacability of artificial intelligence and its impact on consumers’ online purchase intention.

This paper has used a technology-based model as the base to explore the different factors affecting consumers’ purchase intention towards e-retailing. This study has formulated a model that demonstrates the integration of artificial intelligence in retailing by the business organizations so as to understand the needs of customers and help them accept technology. This study has further explored faith, subjective norms and consciousness as constructs which enhance the implacability of artificial intelligence.

This study shows that artificial intelligence positively influences consumers’ buying behaviour. This study through a model also shows that integration of artificial intelligence enhances consumers’ purchase intention.

The study has been focusing on a portion of target population. So there is scope to include the whole set of the population to get closer-to-accurate results.

The study offers useful inputs for academicians as well as marketers for predicting buying behaviour of consumers. Marketing managers can use artificial intelligence–embedded technology to enhance online purchase intention.

The study shows that an increase in consciousness towards e-retailing has made consumers keenly analyse and purchase products on the basis of merit and usefulness of the products.

The contribution has been made with the best of knowledge in formulating an integrated artificial intelligence model for consumers’ purchase intention in e-retailing.

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.

The theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.

The results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.

Further research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.

This study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.

The outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.