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The current study immerses in the realm of bank mergers among prominent PSBs in India, focusing on the financial performance of six recently merged PSBs entities. Amidst the global impact of the COVID-19 pandemic on economies, the study aims to uncover the efficiency of these PSBs in navigating this unprecedented crisis.

The evaluation encompasses panel data on an annual basis spanning from 2020 to 2023. To assess the overall efficiency of merged PSBs, the advanced statistical technique like one-step system generalized method of moments has been applied to estimate its efficiency.

The study findings affirm that PSB mergers have bolstered financial metrics and efficiency. Enhanced return on equity (ROA) and net profit margin (NPM) signify improved profitability and efficiency. The consolidation also facilitates better asset management and utilization. Moreover, merged entities benefit from economies of scale, cost efficiencies, risk diversification, technological investments, and overall performance improvements.

The study's policy suggestions stress ongoing consolidation efforts to boost banking sector resilience, advocating for improved efficiency, governance, and asset quality management. These steps are crucial for successful bank mergers and fostering a robust, competitive banking landscape in India.

This study is a novel attempt to analyze Indian bank profitability and efficiency post PSB mergers amid COVID-19 pandemic. In a developing country like India, especially in PSBs has experienced significant structural changes over the previous 7 years just before pandemic, such a study necessitates a prompt empirical investigation.

This study aims to analyse the deployment of mandatory corporate social responsibility (CSR) expenditure incurred by Indian corporate sector, under various development heads as specified by CSR statutes in India.

The thematic distribution of mandatory CSR expenditure is calculated on a large sample of top 500 Bombay Stock Exchange-listed companies in India over a time span of seven years from 2014 to 2015 till 2020–2021. The money spent on each of the specified stakeholders is extracted from the annual reports of the sampled companies to calculate the average expenditure under each of the development heads.

The findings indicate that the distribution of CSR expenditure by Indian companies into various development heads is unbalanced. Some of the heads such as “Education”, “Healthcare”, “Development Projects”, “Employment” and “Environment” attract more CSR contributions, whereas some other equally important heads such as “Art & Culture”, “Sports”, “Armed Forces” and “Technology Incubators” have comparatively received much less contributions in all the years of assessment. However, during the times of COVID, Indian companies proactively contributed to combat the virus so much so that “COVID-19 Relief” received all-time high contributions among all the development indicators.

The institutionalised back up has replaced the randomness in stakeholders’ approach followed by Indian companies. To ensure the balanced development of the country, the disproportionate contribution into various development heads in all the years of mandatory CSR era calls for further assessment of CSR guidelines issued by the Ministry of Corporate Affairs (MOCA).

This study gives significantly novel insights into the CSR literature by comprehensively analysing the deployment of mandatory CSR funds into various development heads as specified by MOCA in India.

The study focuses on academic stress among the students due to insufficient efforts and intrapersonal conflicts amid the COVID-19 situation. The purpose of this study is to measure the mediating role of academic stress between life dissatisfaction and adequate steps and intrapersonal conflicts.

The researcher had surveyed 729 students from the two states, including Haryana and Punjab and 716 responses were used for analysis. These respondents were approached in April–May 2020 to explore the impact of COVID-19. The questionnaire was prepared with the help of Google form, including 29 questions. Confirmatory factor analysis and structural equation modeling (SEM) were used to validate the research model and for testing the hypothesis.

The findings indicate that intra-personal conflict and insufficient efforts have a significant positive relation with academic stress. Also, intrapersonal conflict and insufficient efforts have a significant positive relation with life dissatisfaction. It has been reported that academic stress mediates the relationship between life dissatisfaction and intra-personal conflict. The results also reveal that academic stress is positively and significantly associated with life dissatisfaction.

This is one of the few studies that explored the mediating role of academic stress between life dissatisfaction and insufficient efforts and intrapersonal conflicts.

This study aims to examine the pattern of corporate social responsibility expenditure (CSRE) incurred by Indian companies after the inception of Companies Act 2013. It also highlights the resultant change brought in the corporate social responsibility (CSR) spends of the companies because of COVID-19 pandemic.

The CSR index provided by the Ministry of Corporate Affairs under Companies (CSR Policy) Rules 2014, is adopted to measure the extent of CSRE made by top 30 Indian companies listed on Bombay Stock Exchange. To study the pattern of CSRE in various domains mentioned in the CSR index, the study is conducted over four points of time. Three alternative years since the commencement of the Companies Act 2013 i.e. 2014–2015, 2016–2017 and 2018–2019 have been taken up. Additionally, the financial year 2019–2020 is included as it marks the inception of the COVID-19 pandemic.

The findings show that the CSRE made by companies is increasing every year over all points of time taken in the study. In addition to this, Indian companies have voluntarily contributed a substantial amount towards COVID-19 relief over and above the required mandatory limits.

The gradual increase in CSR contributions even above the mandated amount and voluntary contribution towards COVID-19 relief by Indian companies implies that the nature of CSR in India is still philanthropic.

The study contributes to the CSR literature after the implementation of the mandatory CSR provisions in India and in the wake of the global pandemic caused by COVID-19 as so far there is no such study available in the extant literature.

The current study tries to better understand the resistance toward food delivery applications (FDAs). This study has adapted the existing criteria to measure different consumer barriers toward FDAs. It also examined the relationships between various consumer barriers, intention to use FDAs and word-of-mouth (WOM).

This study utilized the innovation resistance theory (IRT) and a mixed-method approach comprised of qualitative essays submitted by 125 respondents and primary surveys (N = 366) of FDA users.

Tradition barrier (trust) shared a negative association with use intention, while image barrier (poor customer service) shared a negative association with WOM. The intention to use was positively associated with WOM. Additionally, the study results reveal that image barrier (poor customer experience) and value barrier (poor quality control) were, in fact, positively related to WOM. This study also discusses the managerial and theoretical implications of these findings and the scope for further research on FDAs.

FDAs have revolutionized the food delivery industry and made it more comfortable and convenient for the consumers. However, FDA service providers are facing challenges from both customers and restaurants. Although scholars investigated customer behavior toward FDAs, no prior study has focused on consumer barriers toward FDA usage.

The study aims to enhance the detection and classification of conjunctival eye diseases' severity through the development of ConjunctiveNet, an innovative deep learning framework. This model incorporates advanced preprocessing techniques and utilizes a modified Otsu’s method for improved image segmentation, aiming to improve diagnostic accuracy and efficiency in healthcare settings.

ConjunctiveNet employs a convolutional neural network (CNN) enhanced through transfer learning. The methodology integrates rescaling, normalization, Gaussian blur filtering and contrast-limited adaptive histogram equalization (CLAHE) for preprocessing. The segmentation employs a novel modified Otsu’s method. The framework’s effectiveness is compared against five pretrained CNN architectures including AlexNet, ResNet-50, ResNet-152, VGG-19 and DenseNet-201.

The study finds that ConjunctiveNet significantly outperforms existing models in accuracy for detecting various severity stages of conjunctival eye conditions. The model demonstrated superior performance in classifying four distinct severity stages – initial, moderate, high, severe and a healthy stage – offering a reliable tool for enhancing screening and diagnosis processes in ophthalmology.

ConjunctiveNet represents a significant advancement in the automated diagnosis of eye diseases, particularly conjunctivitis. Its originality lies in the integration of modified Otsu’s method for segmentation and its comprehensive preprocessing approach, which collectively enhance its diagnostic capabilities. This framework offers substantial value to the field by improving the accuracy and efficiency of conjunctival disease severity classification, thus aiding in better healthcare delivery.

The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs) and private sector’s banks in the study. The authors have taken all the banks that are registered on the Bombay stock exchange (BSE) in the sample. This paper also intends to identify the association between the net profit margin (PM) and return on assets (ROA) with the several other independent variables of the Indian banking sector including private banks and public banks over the past six years starting from April 1, 2012 to March 31, 2017. Therefore, a sample of 39 listed banking companies and total 195 balanced observations are selected for the analysis purpose.

The authors have used profitability as a dependent variable represented by net PM, ROA and several financial ratios as independent variables. Financial statement and income statement of all listed banks were obtained from BSE and particular company’s website. Panel data regression has been analyzed with both the descriptive research techniques, i.e., fixed effects and random effects. The authors also verified both panel techniques with Hausman’s specification test, which is a widely used procedure for selecting a panel effect. The authors applied PP – Fisher χ², PP – Choi Z-statistics and Hadri to testing whether the data set is free from unit root problem and data set is a stationary series.

Results imply that interest expended interest earned (IEIE) and credit deposit ratio (CRDR) reduced the profitability of private banks in India. IEIE, CRDR and quick ratio (QR) reduced the profitability of public banks in India, while cash deposit ratio (CDR) and Advances to Loan Funds (ALF) increased the effectiveness of public banks. Under the total banks IEIE, CRDR reduced the profitability, on the other side, CDR, ALF and Total Debt to Owners Fund (TDOF) increased the profitability of total banks in India. Under the dependency of ROA, CRDR and TDOF reduced the return of private banks in India, while CDR, ALF and QR enhanced the profitability of private banks.

No variables found significant under public banks while taking ROA as a dependent variable. Under the overall banking data, CRDR reduced the profitability. On the other side, capital adequacy ratio and ALF increased the profitability of total banks in India. The findings of this study will support policy creators, financial executives and investors in constructing investment decisions.

This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.