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Inferences for multicomponent reliability is derived for a family of inverted exponentiated densities having common scale and different shape parameters.

Different estimates for multicomponent reliability is derived from frequentist viewpoint. Two bootstrap confidence intervals of this parametric function are also constructed.

Form a Monte-Carlo simulation study, the authors find that estimates obtained from maximum product spacing and Right-tail Anderson–Darling procedures provide better point and interval estimates of the reliability. Also the maximum likelihood estimate competes good with these estimates.

In literature several distributions are introduced and studied in lifetime analysis. Among others, exponentiated distributions have found wide applications in such studies. In this regard the authors obtain various frequentist estimates for the multicomponent reliability by considering inverted exponentiated distributions.

The purpose of this paper is to explore how the different dimensions of service quality influence customers’ behavioural intentions in the private and public sector banks, that is, in class and mass banking, respectively, and the implications for the service provider, consumer, society and consumer policy.

A contextually modified SERVQUAL instrument was used to capture customers’ perceptions of service quality followed by exploratory factor analysis to study the dimensionality of service quality in retail banking. Multiple regression was used to probe the influence of the dimensions of service quality on customers’ behavioural intentions.

The study revealed four dimensions of service quality in retail banking, namely, customer-orientedness, reliability, tangibles and convenience and showed that the service quality factor customer-orientedness comprising of the responsiveness and attitude of employees is most important in influencing customers’ behavioural intentions in the case of private sector banks and reliability of the service is most influential in the case of public sector banks.

Future research can focus on “service excellence” being extended beyond assessment of the quality of services, towards evaluation of the quality of life outcomes, to which public organizations contribute, appraisal of the quality of public governance processes and quality of performance in meeting social objectives.

Retail bank managers must realize the importance of employees providing competent, reliable service in the case of public sector banks and their responsiveness and behaviour towards customers in the case of private sector banks, as the keys to foster a culture of service excellence.

High-quality financial consumer policy must not only be able to increase customer satisfaction with financial services but also build security and trust in public administration through transparent processes and accountability. In this context, with public agencies being regarded as service providers and citizens as customers, the concept of quality must also visualize public agencies as catalysts of a responsible and active civic society.

This study explores the relationship between service quality and customers’ behavioural intentions in the private and public sector banks by linking both constructs at their dimensional level. It highlights major implications for the service provider, society, consumer and public policy based on the different needs, characteristics and requirements of customers of class and mass banking, that is, private and public sector banks.

As the retail banking institutions are becoming more customer centric, their focus on service quality is increasing. Established service quality frameworks such as SERVQUAL and SERVPERF have been applied in the banking sector. While these models are widely accepted, they are expensive because of the need for replication across bank branches. The purpose of this paper is to propose a novel, user friendly and cost effective approach by amalgamating the traditional concept of service quality in banks (marketing base) and sentiment analysis literature (information systems base).

In this study, the main objective is to analyze user reviews to better understand the correlation between RATER dimension sentiment scores as independent variables and user overall rating (customer satisfaction) grouping in “good” and “bad” as dependent variable through development of authors’ own logistic regression model using lexicon-based sentiment analysis. The model has been developed for three largest private banks in India pertaining to three banking product categories of loans, savings and current accounts and credit cards.

The results show that the responsiveness and tangibles dimensions significantly impact the user evaluation rating. Even though the three largest private banks in India are concentrating on the tangibles dimension, not all of them are sufficiently focused on the responsiveness dimension. Additionally, customers looking for loan products are more susceptible to negative perceptions on service quality.

This study has highlighted two types of scores whereby user provided overall evaluation scores help provide validation to the sentiment scores. The developed model can be used to assess performance of a bank in comparison to its peers and to generate in depth insights on point of parity (POP) and point of difference (POD) fronts.

In today’s world, with increased competition, service quality has become one of the most popular areas of academic investigation. The purpose of this paper is to examine the impact of various service quality variables on the overall satisfaction of customers and compare the private and public sector banks using a sample from India.

With the help of forward stepwise regression, the authors explain how a variety of variables are both negatively and positively influencing customer satisfaction. The authors collected data from 500 respondents in India; 250 of which were customers of private sector banks, and 250 of which were customers of public sector banks. The authors had a response rate of 65 percent.

In the case of private sector banks, knowledge of products, response to need, solving questions, fast service, quick connection to the right person, and efforts to reduce queuing time were found to be the factors that are positively associated with overall satisfaction. Assistance to the customer, appearance, and follow up are negatively associated with customer satisfaction. On the other hand, in the case of public sector banks, knowledge of the product and fast service are the factors which are associated positively and appearance is the only factor that is negatively associated.

The components of service quality that are positively associated are not the same in public sector banks as they are in private sector banks.

The study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.

In this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a valuable procedure to handle uncertainty. First, a new discrimination measure for SVNSs is introduced and discussed some elegant properties to determine the significance degree or weight values of criteria with the sustainabality perspectives. Second, an integrated approach is introduced based on the discrimination measure and the COPRAS method on SVNSs and named as SVN-COPRAS.

A case study of an STIP evaluation problem is used to confirm the practicality and effectiveness of the SVN-COPRAS framework. Lastly, comparative discussion and sensitivity investigation are illustrated to prove the strength and solidity of the proposed framework.

The SVNSs enrich the essence of linguistic information when a decision expert (DE) vacillates among different linguistic values (LVs) to measure a sustainable transport project alternative problem. The utilization of SVNSs provides a more stable procedure to describe DEs' evaluations. So, an elegant methodology is developed to incorporate the DEs' awareness and experience for electing the desired STIPs. The introduced methodology has higher operability than the single-valued neutrosophic set technique for order preference by similarity to an ideal solution (SVN-TOPSIS) procedure during the larger numbers of attribute(s) or option(s). For the SVN-COPRAS methodology, there is no need to estimate the single-valued neutrosophic ideal solution (SVN-IS) and single-valued neutrosophic anti-ideal solution (SVNA-IS). The outcomes are calculated with handling the realistic data, which elucidates that the introduced model can tackle more intricate and realistic multi-criteria decision-making issues.

In recent years, a number of researchers have attempted to make an integration of sustainability with supply chain risk management. These studies have led to valued insights into this issue, though there is still a lack of knowledge about the mechanisms by which sustainability-related issues are materialized as risks in the supply chain management.

The paper aims to provide a comprehensive framework to evaluate the sustainability risk in the supply chain management mechanism. To do so, a novel approach using the double normalization-based multiple aggregation (DNMA) approach under the intuitionistic fuzzy (IF) environment is extended to identify, rank and evaluate the sustainability risk factors in supply chain management.

To provide comprehensive sustainability risk factors, this study has conducted a survey using interview and literature review. In this regard, this study identified 36 sustainability risk factors in supply chain management of the manufacturing firms in five different groups of risk, including sustainable operational risk factors, economic risk factors, environmental risk factors, social risk factors, and sustainable distribution and recycling risk factors. The results of this paper found that the poor planning and scheduling was the important sustainability risk in supply chain management of the manufacturing firms, followed by the environmental accidents, production capacity risk, product design risk and exploitative hiring policies. In addition, the results of the study found that the extended approach was effective and efficient in evaluating the sustainability risk factors in supply chain management of the manufacturing firms.

Three aggregation methods based on the normalization techniques are discussed. A DNMA method is proposed under intuitionistic fuzzy sets (IFSs). To propose a broad procedure for identifying and classifying sustainability risk factors (ESFs) in supply chain management. To rank the sustainability risk factor, the authors utilize a procedure for evaluating the significance degree of the sustainability risk factor in supply chain management.

The purpose of this paper is to shed light on the paradoxical and dynamic nature of gender and leadership in India through a critical review of Indian film Mardaani.

The paper offers a critical review of an Indian film and relates the analysis to the context of gender and leadership in India.

The review shows that masculine stereotypes of leadership are simultaneously reinforced and shattered in the Indian context, and that despite all the odds, women’s role in organisations is characterised by dynamism and change. The paper situates this review in the broader context of gender, employment and leadership in India and offers a critical analysis.

The analysis has two implications. First, it indicates that women are equally capable of demonstrating worthy leadership. Second, it highlights that being a leader, or “mannish”, in the workplace does not mean that women are not responsible for the domestic and caring duties at home. In fact, female leaders in India continue to do the double shift by struggling to balance their roles in the workplace and their personal lives.

The paper offers an original analysis of a Bollywood film in the context of gender, culture and leadership.

Purpose: This chapter is based on risk management of the insurance sector with reinsurance as its linchpin. Such is the importance of the insurance sector that its risk management must be considered.

Need for the study: Risk management of various sectors is gaining much attention. The insurance sector, known to manage the risk of multiple sectors, also requires its own chance to be controlled with the same or even more intensity. Considering the importance of reinsurance coupled with the dependency of primary insurers on reinsurers and the absence of research on reinsurers, the need to conduct a comprehensive study on the topic is felt.

Methodology: It will be a conceptual chapter based on the rigorous literature on the topic integrated with the researcher’s insights to bring forth the framework of reinsurers for the readers.

Findings: It is found that insurers can themselves become the victims of the financial crisis in case they insure risks that surpass their economic boundaries. Not only this, the failure of insurance companies can have a ripple effect on the country’s economy. Therefore, insurers must possess financial resilience; to remain so, they need to have prudent management of the risk they are undertaking.

Practical implications: The study covers a relatively less researched area of reinsurance and hence has a vast scope of research in the future. The study would be helpful to stakeholders like regulators and primary insurers. It will unveil the paradigm of reinsurance and enlighten the stakeholders on how to use it effectively.