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The quality of haemodialysis process is a prime concern in renal care. This study, carried out at one of the leading Hospitals in Central India, providing kidney care and dialysis, aims to identify areas in the haemodialysis unit needing special attention, to improve process quality and ensure better patient welfare.

The failure mode and effects analysis (FMEA) approach included: deciding haemodialysis process requirements, identifying potential causes of process failure and quantifying associated risk with every cause. Suitable actions were then implemented to reduce the occurrence and improving the controls, thereby reducing risk. The study used primary data generated and monitored over the period: July‐December 2008.

Adopting proper checklists for work monitoring, providing training to enhance patient and staff awareness; led to reduced process errors, mitigating overall risks, eventually resulting in effective patient care.

The quantification of risk associated with every likely failure is subjective.

The findings have a great significance in relation to kidney patients' welfare. The process areas which may get compromised are highlighted so that they get due attention. Error proofing makes the process “robust”, reducing its vulnerability.

This study provides a microscopic error proofing approach to haemodialysis process using a proven engineering tool, FMEA, ensuring quality improvement. This approach can also be extended to cover other hospital activities.

The purpose of this paper is to cover an experimental investigation of the impulse response of the foam-mass system (FMS) to unveil some of the foam dynamic behavior features needed to optimize the impact comfort of seat-occupant system. The equation of motion of the studied system is modeled as a sum of a linear elastic, pneumatic damping and viscoelastic residual forces. An identification methodology based on two separated calibration processes of the viscoelastic parameters was developed.

The viscoelastic damping force representing the foam short memory effects was modeled through the hereditary formulation. Its parameters were predicted from the free vibrational response of the FMS using iterative Prony method for autoregressive–moving–average model. However, the viscoelastic residual force resulting in the long memory effects of the material was modeled with fractional derivative term and its derivative order was predicted from previous cyclic compression standards.

The coefficients of the motion law were determined using closed form solution approach. The predictions obtained from the simulations of the impulse and cyclic tests are reasonably accurate. The physical interpretations as well as the mathematical correlations between the system parameters were discussed in details.

The prediction model combines hereditary and fractional derivative formulations resulting in short and long physical memory effects, respectively. Simulation of impulse and cyclic behavior yields good correlation with experimental findings.

Hospitality businesses have been challenged to pick fitting electronic word-of-mouth (eWOM) management strategies, yet accurate return on investment assessments and contextual contingencies interpretation essential for leveraging eWOM power are largely absent. This study aims to fill these gaps and develop a tool aiming at more holistic and accurate eWOM management assessment.

An agent-based model is developed based on eWOM-related hospitality/business theories and empirical evidence on the NetLogo 6.0.2 platform, wherein a series of simulated experiments are conducted.

Simulation patterns suggest that conformity to the majority’s choice of eWOM usage can be beneficial for consumption satisfaction, yet conformity to a group’s eWOM posting choice can compromise satisfaction. Compared to the brief reputation-boosting benefit of exaggerated advertising, honesty in advertising is preferable given its compatibility with competing eWOM distribution and long-term reputation benefits.

A preliminary tool is developed for hospitality businesses that aids the clearer interpretation of and more accurate/cost-efficient assessment of effectiveness in managing eWOM distribution. Generic directions for improved eWOM management are also provided.

A prototype model is established that surpasses existing models in its ability to capture the complexity of eWOM management and more accurately assess management effectiveness. The authors also reveal emerging novel patterns concerning the interactive dynamics of eWOM behaviors and contextual influences. The research also adds to the scarce agent-based model applications in hospitality research/practices and recommends future potential applications.

In today's dynamic business environment and crisis and pandemic like situations, psychological capital has become very significant for sustainable competitive advantage. Due to its importance in organizational context, researchers are investigating it from various perspectives, making it a burgeoning research area. Hence, this study aims to review the literature, provide identity in terms of various patterns and trends, and build the intellectual structure (academic structure) of psychological capital research by presenting a big picture. It further provides the theories, characteristics, context and methodologies (TCCM) analysis and potential avenues for possible future research to facilitate the growth of the field.

This study compiles, evaluates and synthesizes the extant literature of psychological capital, consisting of 954 journal articles collected from Web of Science (WOS) database, using bibliometric techniques, content analysis, and TCCM analysis.

The study identifies various patterns and trends of psychological capital research and unfolds four major themes, namely psychological capital theoretical concept development, psychological capital relationship building with organizational variables, psychological capital as an underlying mechanism for linkage between organizational variables and psychological capital interventions. It also identifies TCCM outcome and potential avenues for possible future research. The study reveals that psychological capital research area is progressing and has enormous potential to advance in the future.

This study is pivotal to past–future orientation wherein past is being investigated for developing new pathways of psychological capital research. It has used research articles published in the WOS database, and future studies may further enhance the understanding of psychological research using other databases.

In addition to advance a comprehensive understanding of psychological capital research, this study will be a quick reference and notable and profound resource for researchers venturing into this marked research area. Further, it will facilitate to leaders and managers to look into various possible avenues to enhance psychological capital of their subordinates for greater organizational good.

To the best of authors' knowledge, this is first study to advance a comprehensive and systematic understanding of psychological capital by integrating bibliometric, TCCM and content analysis.

Coronavirus disease 2019 (COVID-19) has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and organise themselves to fit into the “new normal” scenario. This global outbreak has established a volatile environment for supply chains; it has raised the question of survival in the market, forcing companies to rethink resilient strategies to be adopted for the post-pandemic situation to mitigate the long-term effects of this virus. This study explores the priorities for retail supply chains (RSCs) to align their business operations and strategies for the post-pandemic world.

This study has utilised integrated full consistency model (FUCOM) – best–worst method (BWM) for assessment of RSCs to enhance their business performance irrespective of pandemic disruptions. The FUCOM has been employed to identify the priorities of determinants enhancing business performance, whereas RSC strategies are evaluated using the BWM method.

The current study identifies “Collaboration Efficiency” as the main criterion for accelerating the performance of RSCs in a dynamic social environment. Also, the study concludes that “Order Fulfilment” and “Digital RSCs” are the most appropriate resilient business strategies to mitigate the long-term effects.

Supply-demand balancing is a challenging task at the moment, but highly significant for the future. The pandemic disruptions have placed intense pressure on retailers to deliver products as per consumers' changing behaviours towards the purchase of essentials and other products. Hence, “Order Fulfilment” and “Digital RSCs” should be adopted for meeting customer requirements and to ensure sustainability in the post-pandemic business world.

This work sets out a comprehensive framework which will be helpful for accelerating RSCs performance against pandemic disruption by adopting resilient strategies to mitigate the long-term effects.

The study aims to examine the influence of Sustainable Human Resource Management (SHRM) practices and Industry 4.0 Technologies (I4Te) adoption on the Employability Skills (ES) of the employees. The study has undertaken four major SHRM practices – Training (TR), Flexibility (FL), Employee Participation (EP) and Employee Empowerment (EE) to measure its impact on the ES along with I4Te.

A survey approach method was designed on the identified constructs from existing literature based on SHRM, I4Te and ES. The survey resulted into 198 valid responses. The study used confirmatory factor analysis (CFA) and structural equation modelling (SEM) using SPSS 25.0 and AMOS 25.0 for constructs validation and hypothesis testing.

The current study reveals that all the four SHRM practices (TR, FL, EP and EE) along with I4Te directly influence ES in the organisation. The I4Te along with the SHRM practices may bring enhancement in the skills and competencies of the employees that is the requirement of future organisations.

Considering the results, the SHRM practices aligned with I4Te may directly influence the employee's ES including core skills, IT skills and personal attributes. The SHRM practices in the organisation will enhance the opportunities for the employees and bring long-term association with the employees.

For the development of the economy and the individual, the SHRM practices need to conduct themselves in more socially responsible ways along with the I4Te to enhance the ES of the employees. The individual development will bring sustainable behavioural changes in the employees.

There has been no research conducted on exploring SHRM, I4Te and ES together. This is the pioneer in the HRM fields that explores the interrelationships and influence amongst the five constructs undertaken in the study.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

The purpose of this paper is to explore the sources of caffeine and its utilization in different food products, along with its impact on human health in terms of benefits and adverse effect.

The papers reviewed were selected based on the following key descriptors such as caffeine, sources, trends of consumption, utilization, benefits and adverse effects, regulation and labelling.

There are many physiological effects of caffeine on respiratory, cardiovascular, gastrointestinal, reproductive and central nervous system. It has a positive effect in reducing the risk of diabetes, Alzheimer’s disease, Parkinson’s disease and liver injury and, at the same time, in improving mood, psychomotor performance and immune response. On the other hand, the negative effects of caffeine include addiction, cancer, heart diseases, insomnia, gastrointestinal disturbances and intoxication. As caffeine, when taken in large amount, is harmful, therefore as per the regulatory bodies, its concentration should not exceed the set limit, and its presence needs to be listed on the label of that particular food product. In a nutshell, it can be said that caffeine acts as a boon as well as bane because it possesses both beneficial and adverse effects.

This is a unique and comprehensive review that will provide a brief overview of sources, utilization, healthful as well as harmful effect of caffeine to the readers.

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.

The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance (profit).

Primary data were collected from dairy entrepreneurs in India, covering nine states. A multinomial treatment effect model (controlling for selection bias and endogeneity) was used to evaluate the impact of the choice of the value chain on entrepreneurs' profit.

Dairy entrepreneurs operating in any recognized value chain other than the value chain driven by the consumer household realize a comparatively lesser profit. Dairy farmers have established direct linkages with customers in urban areas – who could pay premium prices for safe and quality milk. Food safety compliance is positively associated with profit and entrepreneurs (who have undergone formal training in dairying) preferred partnerships with a formal value chain. The prospects of starting a dairy enterprise are slightly higher in villages compared to urban areas.

Dairy entrepreneurs can make a shift in accordance with the study's findings and boost their profitability. It aids in comprehending how trainees (who obtained advice and training for raising dairy animals from R&D organizations) and non-trainee dairy farmers make value chain selections, which ultimately affect profitability. However, purposive sampling and a small sample size limit the universal implications of the study.

Developing entrepreneurial behavior and startup culture is at the center of policymaking in India. The findings imply that the emerging value chain not only enhances the profit of dairy farmers by resolving consumer concerns about food safety and the quality of milk and milk products but also builds consumer trust.

This paper offers insight into how the benefits of dairy entrepreneurs vary with their participation in the different value chains. The impact of skill development/training programs on value chain selection and farm profitability has not yet been fully understood. Here is an attempt to fill this gap. This paper through light on how trained and educated dairy entrepreneurs are able to establish a territorial market by approaching premium customers – this is an addition to the existing literature.