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Women Empowerment means boosting the social, economic, political, and legal strength of women to secure equal right and make them confident to claim their rights. India has focused on women's empowerment to reduce domestic abuse and gender violence in recent decades. The study analyzes the relationship between women's empowerment and gender-based violence, employing a non-linear regression model using the National Family Health Survey (NFHS) 5, 2019–20 data. In the present study gender-based violence is measured on the basis of spousal violence and women's empowerment is represented by women who are currently married and usually take part in three household decisions, women who worked in the past year and were paid in cash, women who own a house or land (alone or with others), women who use their own bank or savings account, and women who use their own cell phone for each state. Analysis of the result shows a link between women's empowerment and gender-based violence and a large disparity among states.

This study aims to assess the impact of participation in self-help group (SHG) on the psychological empowerment of rural tribal women.

Primary data was collected using multistage random sampling from the rural women of Jharkhand, India. The propensity score matching method was adopted using the psmatch2 command in STATA.

The results show a significant positive change in women’s self-esteem, self-confidence, self-efficacy, autonomy, knowledge and skills, reduction in agony and quality of life after participation in SHG. This reveals that participation in SHG has a significant positive impact on the psychological empowerment of rural tribal women.

Despite the numerous studies on rural women’s empowerment, there is little evidence of literature focusing on the impact of participation in SHG on psychological empowerment, specifically in the tribal context. This study primarily focuses on women belonging to the scheduled tribe category of Jharkhand, one of the poorest states of India.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

This study aims to report business preferences for achieving net-zero power production emissions in Saskatchewan, Canada as well as business perceptions of the most preferable power production sources, barriers to change and suggestions for improvement. Mixed methods included focus groups and a survey with experimental design. This research demonstrates that this method of advancing academic and business knowledge systems can engender a paradigmatic shift to decarbonization.

The study is a mixed-methods study using five focus groups and a survey which included a 15-min information video providing more information on power production sources (small modular reactors and biomass). Participants requested more information on these topics in the initial three focus groups.

There is a significant gap in Canadian Government targets for net-zero emissions by 2050 and businesses’ plans. Communications, knowledge and capacity gaps identified include lack of regulatory requirements, institutional barriers (including a capacity charge in the event a business chooses to self-generate with a cleaner source) and multi-level governance dissonance. More cooperation between provincial governments and the federal government was identified by participants as a requirement for achieving targets. Providing information to survey respondents increased support for clean and renewable sources, but gender and knowledge are still important characteristics contributing to support for different power production sources. Scientists and teachers were the most trusted sources of information. Power generated from small modular nuclear reactors was identified as the primary future source of power production followed by solar, wind and natural gas. Research results also confirmed the high level of support for hydropower generated in Saskatchewan versus import from Manitoba based on high values of energy solidarity and security within the province.

This study is original, as it concerns upstream system power production portfolios and not failed projects; the mixed-method research design including a focus group and an experimental survey is novel. This research partially addresses a gap in knowledge surrounding which knowledge systems advance paradigmatic shifts and how and whether involving business people in upstream power production decisions can inform decarbonization.

In this chapter, we examine how the media in India constructed the lives, needs, and desires of disabled children in India during the tumultuous pandemic.

Through critical discourse analysis, we address how children's bodies and needs have been explicitly discursively constructed as “excessive,” while implicitly drawing upon neoliberal, ableist logics of loss and productivity.

We foreground how the framing of COVID-19 as a disaster in the Indian context obscures state neglect, suggesting that inequality has been the result of the pandemic rather than the limits of state care under neoliberal ableism. Despite the recognition of gaps in the care received by disabled children, neoliberal, entrepreneurial solutions have emerged as a new, widely touted form of care during the pandemic.

Through our analysis, we highlight how disabled children have been neglected by the state and constructed as burdensome and vulnerable. We argue that this occurs when disabled children's bodyminds do not conform to an ideal of the self-reliant, independent citizen under the logics of neoliberal ableism. Our work demonstrates how children with disabilities are discursively rendered absent from conceptualizations of normate citizenship, unless seen as contributing to current or future aspirations for state productivity and growth.

Different pollutants emission due to the conventional energy consumption process is of major concern owed to its significant effect on human health vis-à-vis regional climate. The purpose of this paper is to develop mitigation strategies to reduce the pollutant concentrations in the rural households conducted in a pristine rural village of Indian Sunderban area.

During winter, 2014, 20 households which were using traditional biomass cookstove for cooking and kerosene-lamp for lighting (KIT-TRD) were randomly selected. Specific type of improved forced draft biomass cookstove and solar lantern were used in ten of the selected households (KIT-IMP). Real time concentrations of particulate matter (PM) (PM_2.5, PM₁₀) and carbon monoxide (CO) during day and evening time cooking period were measured in KIT-IMP and KIT-TRD. A simulation model was established to evaluate most potential factor to control the level of pollutants inside the kitchen.

Conventional processes of energy consumption in the households, along with the outdoor concentration of pollutants influence the indoor concentration of measured pollutants. The concentration of PM and CO was significantly lower in the KIT-IMP than the other. In the KIT-TRD households, the daytime concentration of PM and CO was significantly higher compared to the evening. The simulated output overestimated the concentration of PM10 and CO in the KIT-TRD.

The concentration of PM_2.5, PM₁₀ and CO significantly reduces in the indoor environment with the introduction of improved cookstove and solar lantern; however, further research is required to develop optimum sizes of window and door in the rural households to reduce the concentrations of different pollutants inside the kitchen.