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This paper aims to develop a new 3-level implicit numerical method of order 2 in time and 4 in space based on half-step cubic polynomial approximations for the solution of 1D quasi-linear hyperbolic partial differential equations. The method is derived directly from the consistency condition of spline function which is fourth-order accurate. The method is directly applied to hyperbolic equations, irrespective of coordinate system, and fourth-order nonlinear hyperbolic equation, which is main advantage of the work.

In this method, three grid points for the unknown function w(x,t) and two half-step points for the known variable x in spatial direction are used. The methodology followed in this paper is construction of a cubic spline polynomial and using its continuity properties to obtain fourth-order consistency condition. The proposed method, when applied to a linear equation is shown to be unconditionally stable. The technique is extended to solve system of quasi-linear hyperbolic equations. To assess the validity and accuracy, the method is applied to solve several benchmark problems, and numerical results are provided to demonstrate the usefulness of the method.

The paper provides a fourth-order numerical scheme obtained directly from fourth-order consistency condition. In earlier methods, consistency conditions were only second-order accurate. This brings an edge over other past methods. In addition, the method is directly applicable to physical problems involving singular coefficients. Therefore, no modification in the method is required at singular points. This saves CPU time, as well as computational costs.

There are no limitations. Obtaining a fourth-order method directly from consistency condition is a new work. In addition, being an implicit method, this method is unconditionally stable for a linear test equation.

Physical problems with singular and nonsingular coefficients are directly solved by this method.

The paper develops a new fourth-order implicit method which is original and has substantial value because many benchmark problems of physical significance are solved in this method.

This paper aims to develop a new high accuracy numerical method based on off-step non-polynomial spline in tension approximations for the solution of Burgers-Fisher and coupled nonlinear Burgers’ equations on a graded mesh. The spline method reported here is third order accurate in space and second order accurate in time. The proposed spline method involves only two off-step points and a central point on a graded mesh. The method is two-level implicit in nature and directly derived from the continuity condition of the first order space derivative of the non-polynomial tension spline function. The linear stability analysis of the proposed method has been examined and it is shown that the proposed two-level method is unconditionally stable for a linear model problem. The method is directly applicable to problems in polar systems. To demonstrate the strength and utility of the proposed method, the authors have solved the generalized Burgers-Huxley equation, generalized Burgers-Fisher equation, coupled Burgers-equations and parabolic equation in polar coordinates. The authors show that the proposed method enables us to obtain the high accurate solution for high Reynolds number.

In this method, the authors use only two-level in time-direction, and at each time-level, the authors use three grid points for the unknown function u(x,t) and two off-step points for the known variable x in spatial direction. The methodology followed in this paper is the construction of a non-polynomial spline function and using its continuity properties to obtain consistency condition, which is third order accurate on a graded mesh and fourth order accurate on a uniform mesh. From this consistency condition, the authors derive the proposed numerical method. The proposed method, when applied to a linear equation is shown to be unconditionally stable. To assess the validity and accuracy, the method is applied to solve several benchmark problems, and numerical results are provided to demonstrate the usefulness of the proposed method.

The paper provides a third order numerical scheme on a graded mesh and fourth order spline method on a uniform mesh obtained directly from the consistency condition. In earlier methods, consistency conditions were only second order accurate. This brings an edge over other past methods. Also, the method is directly applicable to physical problems involving singular coefficients. So no modification in the method is required at singular points. This saves CPU time and computational costs.

There are no limitations. Obtaining a high accuracy spline method directly from the consistency condition is a new work. Also being an implicit method, this method is unconditionally stable.

Physical problems with singular and non-singular coefficients are directly solved by this method.

The paper develops a new method based on non-polynomial spline approximations of order two in time and three (four) in space, which is original and has lot of value because many benchmark problems of physical significance are solved in this method.

This paper aims to analyse the fiscal performance of non-special category states of India.

This study applied a global Malmquist productivity index (GMPI) to measure the state fiscal performance, using eight fiscal indicators to measure the fiscal stance of 17 non-special category states of India over the period 2000–2020.

The findings reveal significant inter-state variations in all the fiscal indicators over the period. Goa, Haryana, Kerala, Chhattisgarh, Odisha and Jharkhand have been the best fiscal performers in recent years. The states Chhattisgarh, Jharkhand and Odisha present an interesting case; their fiscal performance index (productivity) score increased more than 1% during the sample period as compared to other states. This improvement is primarily associated with revenue efficiency, expenditure quality and size of capital outlay.

The conventional Malmquist productivity index uses a geometric mean form of two contemporaneous measures of productivity change and this index faces a potential linear programming infeasibility problem in measuring cross-period directional distance functions. Therefore, productivity growth measured using indexes should be interpreted with caution. Therefore, the results obtained based on the GMPI might be missing the sensitive check.

This study is a pioneering initiative in India, constructing a fiscal performance index to measure and rank the non-special category states of the country based on GMPI, thus addressing limitations in previous studies on index formation techniques and selecting fiscal indicators.

Despite India achieving many milestones under MGNREGA, the external and internal shocks result in below potential outcomes in employment demand and generation. This study examines how these shocks matter and how the migration-prone regions perform.

This study, employing district-level data from 2018 to 2021, investigates how climate change and COVID-19 have affected the employment demand and supply. We applied RE-GLS and IV-2SLS regressions to examine the effects of shocks on employment demand and generation, respectively. The difference in difference panel model is employed to test the spatial effects of the pandemic. Further, we used RE-GLS and extended regression model to examine how external shocks interacting with migration affect unemployment rates.

It was found that the pandemic increased employment demand and generation. This reflects the adverse effects of the pandemic and the swift action by the government. However, the responses were possibly different during climate shocks. The wage differential increased employment demand. However, demand decreased due to poor support from the support staff. The employment generation was higher in migration-prone districts, indicating that seasonal migration, being a lean-season phenomenon, continues to occur despite employment generation.

This study contributes to the literature in several ways. It captures spatial variations while examining the impact of climate change and COVID-19. It investigates the performance of MGNREGA in migration-prone areas. In effect, the findings provide policymakers with greater insight into the issues.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0132.

The purpose of this study was to create a theoretical model by combining the technology acceptance model (TAM) with the theory of technology readiness (TR) and then empirically test it to identify the key factors influencing older citizens’ intention to adopt and use mobile health (m-health), which has emerged as a tool to facilitate health-care rights for all.

The convenience sampling method was used to collect data from 465 respondents aged 60 and up from the Delhi-National capital region of India using a questionnaire survey method. The data collected for this study were analyzed using partial least squares structural equation modeling using SmartPLS 3.0.

The study’s findings indicate that all TR components influence perceived usefulness (PU) and ease of use. The exception is discomfort, which does not affect perceived ease of use (PEOU). Furthermore, PU and PEOU influenced the older citizen’s attitude toward m-health, and attitude influenced their intention to use m-health applications.

To the best of the authors’ knowledge, this is the first study to apply the TAM in combination with TR index to examine the acceptability of m-health consulting by the older citizen in an emerging economy like India.

The apex planning body of India, NITI Aayog launched an Aspirational District Programme (ADP) in January 2018. The programme aimed to the quick and effective transformation of 112 (14%) districts of the country. This programme is considered as world's biggest result-based governance initiative having reached up to 250 million people. It is based on a ranking that is done on monthly basis. This ranking is based on 49 KPIs across six broad socio-economic themes.

The study attempts to inquire and assess the progress made by 112 Aspirational Districts under Financial Inclusion, Skill Development and Basic Infrastructure theme from the inception of the programme to June 2022 (i.e. 54 months). Instead of ranking districts with delta rank or composite scores, the study divorce from NITI Aayog's methodology of monthly delta ranking. The study explores 8 indicators under the basic infrastructure theme and 16 indicators under the financial inclusion and skill development themes. For this purpose, the study explores the availability of individual household latrines, drinking water, electricity and road connectivity. Districts are also tracked for the number of Internet-connected Gram Panchayats, and panchayats with Common Services. Every district is provided with the target as per national development priority, the study makes an effort to grasp the distance of each district from the national target. This allows researchers to develop a scale Very Far, Far, Near, Very Near, Achieved with descriptive statistics techniques. Juxtaposing the scale with timelines results in a pattern of progress made by these 112 districts.

This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.

A well-structured questionnaire was designed; a survey was conducted among potential investors using convenience sampling, and 200 valid responses were collected. The research work uses multiple regression and discriminant function analysis to evaluate the influence of cognitive factors on the financial decision-making of investors.

Recency and familiarity bias are proven to have the highest significant impact on the financial decisions of investors followed by confirmation bias. Overconfidence bias had a negligible effect on the decision-making process of the respondents and found insignificant.

Covid-19 is a temporary phase that may lead to changes in financial behavior and investors’ decisions in the near future.

The paper will help academicians, scholars, analysts, practitioners, policymakers and firms dealing with capital markets to execute their job responsibilities with respect to the cognitive bias in terms of taking financial decisions.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from literature on the chosen subject that no study has been undertaken to evaluate the impact of cognitive biases on financial behavior of investors during Covid-19.

The purpose of this paper is to understand disparities in child immunization and nutritional status among children by migration status in urban India.

The study utilized third round of National Family Health Survey (NFHS, 2005-2006) data, which is the Indian version of Demographic and Health Survey. Descriptive statistics and binary logistic regression models were used to study the levels and factors associated with child nutrition and immunization by migration status.

Results suggest that malnutrition and no immunization are very high among children of rural-urban migrants and full immunization is lower than urban non-migrants and urban-urban migrants. More than half of the children from marginalized households suffer from the problem of undernutrition among rural-urban migrants. Multivariate results show economic status, age of the mother, education, caste and media exposure are negatively associated with malnutrition and positively associated with immunization. Children from south, north-east and east are found to have lesser chance of being malnourished than north region of India.

The challenges experienced by rural-urban migrants are reflected over their children and needs a greater attention among policy makers in India.

The finding of this study that children of the rural-urban migrants are in a disadvantageous position in terms of nutrition and immunization. This reflects the precarious condition of rural-urban migrants who initially settles in poor neighbourhoods, which are characterized by lack of adequate sanitation and clean water, poor housing and overcrowding, and difficulty in access to modern health services brought out by many researchers.

The purpose of this paper is to examine the impact of knowledge of inventory management practices (KIMP) on operational performance (OP) and business performance (BP). This study emphasized understanding the mediational effect of OPs among KIMP and BP in manufacturing firms of Indian small- and medium-sized enterprises (SMEs).

This study analysed the above relationship from the data collected from 351 key officials of 170 Indian SMEs. The detailed analysis, including reliability, validity and testing hypothesis, was done in advanced SmartPLS-SEM 3.3.3 software.

The findings show that KIMP directly influences OP; thus, a company's OP significantly impacts the overall BP. The KIMP has no significant effect on BP. In line with this, the study findings demonstrate a significant, high mediation effect of OPs between KIMP and BP.

The KIMP on OP has been sparsely studied earlier, and neither have they conceptualized in understanding its impact on BP. In such tumultuous times, key manufacturing executives should stress the importance of KIMP as a comprehensive perspective.