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This paper aims to explore inpatient staff experiences of seeking to meet the religious and cultural needs of Black, Asian and Minority Ethnic (BAME) inpatients on mental health wards.

Nine semi-structured interviews were undertaken with inpatient staff in one NHS Trust in England to explore their views and experiences of supporting BAME inpatients to meet their religious and cultural needs. Anonymised transcripts were analysed thematically.

Inpatient staff reported lacking the confidence and knowledge to identify and meet BAME inpatients’ religious and cultural needs, especially inpatients from smaller ethnic groups and newly emerging communities. There was no specific assessment used to identify religious and cultural needs and not all inpatient staff received training on meeting these needs. Concerns were raised about difficulties for staff in differentiating whether unusual beliefs and practices were expressions of religiosity or delusions. Staff identified the potential role of inpatients’ family members in identifying and meeting needs, explaining religious and cultural beliefs and practices, and psychoeducation to encourage treatment or medication adherence.

Potential ways to address this gap in the knowledge and confidence of inpatient staff to meet the religious and cultural needs of BAME patients include training for inpatient staff; the production and updating of a directory of common religious and cultural practices and needs; local resources which can help to support those needs; and religious and cultural practices and needs being documented by mental health practitioners in community teams such that this information is readily available for inpatient staff if a service user is admitted.

This is the first study to consider inpatient staff views on meeting the religious and cultural needs of BAME informal patients and patients detained under the Mental Health Act 1983.

Distancing people socially as a precautionary measure against the mushrooming of COVID-19’s health and economic crisis has deleteriously affected the performance of the eatery industry to a great extent. Many food outlets failed to cope up with crisis and opted to move out, and many still vie to survive through pandemic. It becomes vital for researchers to understand what factors influence the performance and survival of eateries during the pandemic? The study makes an attempt to fabricate new factors which affect the performance and contribute significantly towards the survival of eateries in this new COVID-19-prone world.

The present study is a cross-sectional analysis with the sample of 150 eateries from the walled city of Punjab (India), i.e. Amritsar. Factor analysis is employed to scrutinise the factors which influence the performance of eateries during the pandemic, and to analyse factors which contribute significantly for the survival of eateries, logistic regression is performed.

The empirical analysis reveals that at prior psychological factor, followed by turnover factor, external factor, financial factor and marketing factor influence the performance of eateries during the pandemic. Only three factors, namely turnover factor, external factor and financial factor, turned up to be significant towards the survival rate of an eatery. The marketing factor which is a crucial contributor for survival of business in literature has turned out to be insignificant during the times of pandemic.

With the arrival of pandemic, the preference of people has changed, and the business environment in which entities operate has turned more complex. The present study is one of the pioneer attempts to evaluate whether the factors responsible for performance or survival of an eatery during normal times is relevant during the pandemic as well. The study contributes to the literature of eatery industry by adding a new variable namely psychological factor, i.e. changes witnessed in customers’ preference to visit an eatery.

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

The present study is an intra-industry analysis, which aims to investigate whether the impact of COVID-19 on employment level, clientele rate, liquidity constraints and sustainability aspect of different food outlets is symmetric or asymmetric in nature.

With the help of well-structured questionnaire, the study has surveyed 80 food outlets in total by interviewing the managers and owners of these outlets. Food outlets have been classified into four categories namely international, national, local and street food outlets. Econometric techniques like MANOVA and Garret ranking have been employed to fulfil the objective of the study.

The results depict that the impact of COVID-19 on employment level and liquidity constraints is significantly asymmetric amongst different groups of food outlets, even though the decline in extent of clientele is somewhat same for all groups. The survival aspect of outlets also witnesses clear-cut asymmetry in results as big outlets have greater potential to survive for longer if lockdown happens again when compared to street food outlets as their financial availability and stability differ.

The sample size of study is restricted, mainly due to lesser number of national franchise's food outlets available in Amritsar, though other categories of eateries were sufficient in number. Further, the study is restricted only to one district of Punjab state, whereas for future research, inter-district comparison can be done.

The findings reveal that the street food outlets may gain by fostering its online functioning. Similarly national food outlets are encouraged to alter their business strategies to revive their sales against their competitors.

This study is one of the explorer studies to analyse the impact of COVID-19 by making an intra-industry comparison for the eatery industry – considering four different categories of eateries. The classification of eateries helps in analysing whether the employment level, clientele rate, liquidity constraints and survival perspective have been affected symmetrically for the whole eateries industry or does severity of being affected differ asymmetrically. The study makes a contribution by adding a new string of dimension to the existing load of literature in the domain of hospitality.

The study aims to discern the primary obstacles confronted by the implementing agencies in their efforts to foster financial inclusion through the “Pradhan Mantri MUDRA Yojana” (PMMY).

To collect primary data, a semi-structured questionnaire was developed. Around 120 loan officers from the implementing agencies (Scheduled Commercial Banks (SCBs), Regional Rural Banks (RRBs), Small Finance Banks (SFBs), Non-Banking Financial Companies (NBFCs) and Micro- Finance Institutions (MFIs)) of Haryana were randomly selected to fulfill the objectives. To categorize the perceived problems into discrete factors, the “factor analysis” technique was employed. The scales were then regressed on factors linked to the demographic characteristics of the loan officers to validate the hypotheses.

The study highlighted the primary obstacles impeding the advancement of financial inclusion, which encompass a range of factors. These include challenges in management, infrastructure, politics, finance and technology. Furthermore, the study established the association of the explanatory variables, namely gender, age, educational qualification, location and experience of the officers, with the extracted constraints. Notably, the experience of loan officers emerged as the most influential variable contributing to the promotion of financial inclusion through the scheme.

The current body of literature lacks any empirical investigation focusing on the perspectives of the implementing agencies regarding the challenges they encounter in advancing FI. Given the significance of FI in India, where access to formal financial services remains a critical issue, this research adds value by addressing the gaps in understanding the problems encountered.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0462

The purpose of this paper is to develop a framework and key performance indicators (KPIs) to assess the sustainability of the manufacturing organizations along the integrated supply chain.

A systematic literature review of existing peer-reviewed articles has been carried out to understand the strengths and weaknesses of current frameworks. A sustainability assessment framework has been proposed for the manufacturing sector. KPIs to assess sustainability performance of manufacturing organizations are identified. An empirical study is carried out for the cement industry to test the proposed framework and KPIs.

The existing frameworks on sustainability assessment lacks an integrated assessment consisting product life cycle, resources, critical factors (product, process and policy), KPIs and their interrelationship with sustainability dimensions. In total, 121 KPIs are identified for sustainability assessment of manufacturing organizations. The empirical study of the Indian cement industry identifies 52 KPIs (17 social, 15 economic and 20 environmental), which are classified into 13 factors using exploratory factor analysis.

The proposed framework is tested for the cement sector. More studies are required to validate and refine the framework to make it generalized for the manufacturing sector.

This study has developed for the first time a close interrelation among life cycle engineering, resources, critical factors, KPIs and sustainability dimensions.

Creating visibility in the supply chain (SC) helps in making it resilient. Integrating the SC with Industry 4.0 key enabling technologies creates visibility and sustainability in SCs. It also fosters intelligent decision-making, thereby making a SC smart. However, how Industry 4.0 technologies affect key performance indicators (KPIs) of a resilient SC and may help achieve sustainability is rarely studied.

Sixteen KPIs were identified from the literature review and analyzed using fuzzy analytic hierarchy process (FAHP) using expert opinions. Further, a sensitivity analysis was conducted for the KPIs by varying the weightage of the criteria. Later, KPIs results were analyzed, and (1) how and which Industry 4.0 technology helps improve the KPI? (2) Resilience relationship with sustainability? were discussed.

The analyses show that the time-oriented (TO) is an essential criterion and organizational (OR) is the less important comparatively. Lead time, time to market and risk assessment frequency are the top KPIs that need a focus. Blockchain, Big Data and Cyber-physical systems enhance KPI's value and, in turn, foster economic, environmental and social sustainability of the SC and help in better decision making in terms of smart contracts, better forecasting and enhanced real-time information sharing.

Identification of the KPIs, the impact of Industry 4.0 technologies and the impact on sustainability; this kind of interplay is rarely evident in the literature. Understanding the findings of this research will help managers develop smart systems that may work intelligently to overcome risks associated and enhance sustainability. Academicians can use the findings and conduct future research that can overcome the limitations of this research.

The concept of green supply chain management (GSCM) is evolving rapidly due to the environmental concerns and gaining popularity in the research community. This study critically analyze the literature of GSCM pressure, practice and performance for manufacturing enterprises based on the results of bibliometric, network and frequency analyses.

Scopus database is used for literature search. Bibliometric network and frequency analysis are used to critically review the evolution of identified constructs and measures of GSCM pressure, practice and performance.

This study has identified that the selected topic is in growing stage through the collaborative effort of the worldwide researchers. This study also shows the diffusion of influence in developing countries and there are enormous opportunities of research in these regions. The study finds evaluation of GSCM constructs and measures with time and shift in focus areas by the researchers. The study suggests more focus on the measurement of informative pressures, reverse logistics practices and negative impact on economic performance due to the adoption of GSCM practices. There is a need of simultaneous analysis of GSCM pressures, practices and performance to identify the cascading effect in different regions and industrial sectors and developed a conceptual framework to identify this effect. This study also observes the need of more quantitative measures-based case studies and suggests the use of life cycle assessment for the quantification of environmental performance.

This study for the first time has analyzed a specific topic of GSCM pressure, practice and performance through bibliometric and network analyses. This study critically reviews the constructs and measures of GSCM pressure, practice and performance and identified the future research directions.