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Based on a survey, this paper seeks to confirm that Indian corporates are already working on the guideline of the Global Compact.

The approach is theoretical with ample scope for application.

It is found that there should be a realisation that the real CSR leadership is not just putting one's own house in order, but advocating the right conditions to reward responsible practice.

A disadvantage is the paucity of literature for the survey.

The paper succeeds in confirming that Indian corporates are already working on the guideline of the Global Compact, because the Indian ethos and religious values teach these doctrines from a socio‐religious aspect.

This paper attempts at charting out a road‐map for signifying the importance of Corporate Social Responsibility (CSR) as a whole and in its attempts of doing so, the paper underlines the role of corporate giants operating in India by citing examples of different Indian Business Houses for providing a guidance to achieve a sacro‐civic society where the under‐ pinning lies in promoting overall human development.

This paper sets out to explore the trends of social responsibility of the corporate sector in India.

The methodology being followed in the paper is exploratory in nature as data are scanty. An analysis has been done on an overall score drawn from a structured questionnaire being administered.

Trends in socially responsible initiatives are both positive and crucial in nature in India.

The vastness of the corporate activities in a big country like India, on the one hand, and the scanty data availability, on the other, lead to issues being restricted in some sectors.

This research has a tremendous effect on society with respect to the CSR approach being conceived, adopted and initiated by UN Global Compact.

The paper has touched on the cutting‐edge research initiatives in the field of CSR.

Background: Insurance was discovered many centuries before Christ (BC). In the second and third millennia BC, Chinese and Babylonian traders traded risks. Insurance is now the backbone of the economy, but penetration is low in developing countries. Big data, internet of things (IoT), and InsurTech have recently ushered in the fourth industrial revolution in insurance.

Objective: This study examines the Indian challenges and solutions of using Big Data Analytics (BDA).

methodology: A SLR was used to extract themes/variables related to challenges and solutions in adopting BDA in the Indian insurance sector. Google Scholar was searched for relevant literature using keywords. Inclusion and exclusion criteria were used to filter the studies.

Findings: This study identified several barriers to BDA adoption in the Indian insurance industry. Policymakers could use the suggestions to improve insurance service delivery.

Practical implication: Insurers can understand the challenges, and accordingly, they can adopt the proposed solution in this study to enhance the insurance penetration in India.

The purpose of this paper is to show how an application of fractional two dimensional differential transformation method (DTM) obtained approximate analytical solution of time‐fraction modified equal width wave (MEW) equation.

The fractional derivative is described in the Caputo sense.

It is indicated that the solutions obtained by the two dimensional DTM are reliable and that this is an effective method for strongly nonlinear partial equations.

The paper shows that exact solutions can also be obtained from the known forms of the series solutions.

In this article, the aim is to obtain an approximate analytical solution of time‐fraction generalized Hirota‐Satsuma coupled KDV with the help of the two dimensional differential transformation method (DTM). Exact solutions can also be obtained from the known forms of the series solutions.

Two dimensional differential transformation method (DTM) is used.

In this paper, the fractional differential transformation method is implemented to the solution of time‐fraction generalized generalized Hirota‐Satsuma coupled KDV with a number of initial and boundary values has been proved. DTM can be applied to many complicated linear and strongly nonlinear partial differential equations and does not require linearization, discretization, restrictive assumptions or perturbation. The presented method is a numerical method based on the generalised Taylor series expansion which constructs an analytical solution in the form of a polynomial.

This is an original work in which the results indicate that the method is powerful and significant for solving time‐fraction generalized generalized Hirota‐Satsuma coupled KDV type differential equations.

The aim of this paper is to extend a conceptual understanding of business process outsourcing (BPO) and its prevailing practices in the background of the post‐liberalized economic scenario of India. Efforts have also been made to discuss the major work verticals of Indian ITES‐BPO industry, which further reveals the fact of its domain expertise and in‐time delivery of services in a pre‐determined standard with least possible cost that has made India a BPO hub. The later part of the study deals with an empirical SWOT‐analysis that highlights the key factors that have significant bearing to the very flourishment of this sunshine industry.

The data collected for the analysis are secondary in nature and include various journals, periodicals, survey reports and on‐line business reports/news. The techniques like trend analysis and SWOT analysis in particular have been implemented for the purpose of study.

The paper found that in addition to the growth of traditional industries, patronization of this emerging sector is also a high necessity, looking at its socio‐economic contribution to the society on one hand and considerable amount of employment creation and income generation capabilities for the bright mass of the country that restrict “brain drain”, on the other hand.

The paper describes, analyses and critiques the outsourcing industry in India with reference to a core theory base. It is expected to be helpful in stimulating the analytical mind of the researchers and industry practitioner of the area for scientific decision making and furthering the research on this particular aspect of business.