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This paper aims to build upon the various studies conducted on the ecosystem and expands the understanding of the ecosystem of microfinance institutions (MFIs) in India. The discussions in this essay entail a literature review that analyzes the discourse on the ecosystem of MFIs, and based on this an attempt has been made to conceptually design a model for the ecosystem of MFIs in India.

The authors design the “Indian microfinance ecosystem model” based on the actors in the broader financial ecosystem (Bloom and Dees, 2008; Ledgerwood and Gibson, 2013) and the capital infrastructure and the context-setting factors of the social entrepreneurship ecosystem (Dees et al., 2008) that best describes the Indian MFI scenarios.

The ecosystem of MFIs in India is found to be very complicated. The interactions among numerous actors – who are core product or service providers, facilitators, client, beneficiaries, resource providers, competitors, complementary organizations, regulators, opponents and influential bystanders. The authors also observed that the capital infrastructure and context-setting factors such as policy, politics, media, economic and social conditions are equally crucial for the MFIs to survive and flourish. Moreover, the ecosystem is also dynamic and could change with the environmental conditions and entry of new entrants into the ecosystem.

Understanding the ecosystem of MFIs from the strategic perspective would also be of interest to stakeholders such as donors, investors, banks, government and so on. For MFIs, knowing their place in the ecosystem is an essential step in determining their strategy.

Understanding the elements of the ecosystem would help MFIs to assess whether they have achieved the minimum critical environmental conditions in the ecosystem for their business model to succeed.

Better understanding of the ecosystem will help create social benefits through better service delivery to the low-income population.

Expands the existing business ecosystem literature by extending it to the social policy, social entrepreneurship and more specifically to the microfinance sector. Fills a void in ecosystem literature by designing a comprehensive ecosystem model of MFIs in India. Understanding the ecosystem would help market system actors and facilitators to understand what they have to do to achieve their objectives of participating in the ecosystem. Knowing their place in the ecosystem is an essential step in determining what they should do and how they should do it. In addition to MFIs, it could have important implications for policymakers, particularly the government, that are trying to achieve financial inclusion.

South Asian region is a focal point owing to its vulnerabilities to climate-sensitive diseases, dependence on climate-sensitive livelihoods, projected levels of crop decline in the region, and high rates of poverty and malnutrition. Women are particularly vulnerable to climate change and this affects women disproportionately during different extreme events. The purpose of this paper is to understand the issue of climate change and its impact, and climate resilience among women in South Asia. Further, it also identifies the gaps and suggests future policy implications.

Climate change is increasingly being recognised as an alarming issue and the present review is important when South Asian countries are facing the brunt of climate change impacts. This paper tries to understand the issue by review of the literature and conceptual framework methodology. To understand women’s vulnerability due to climate change and its aftermath, the authors conducted both offline and online desk reviews for this study.

The findings of this study show a clear linkage between climate change and women’s vulnerabilities in South Asia. Climate change has significant socio-economic impacts on women, and it affects them disproportionately in various domains of agriculture, livelihood, food security, both physical and mental health, water and sanitation in the South Asia region.

The paper also highlights that the programmes that aim at combating the effects of climate change require a gender-sensitive approach so that climate change does not obstruct the development and reduction of poverty in the region.

The findings of this paper will add value in helping families to come out of poverty by undertaking adaptive measures with proactive assistance from the government and grassroots level organisations.

The present study also advocates for more gender- and climate-sensitive measures from governments, and implementation of intervention- and evidence-based research in the South Asian countries.

This study aims to examine the nexus among financial inclusion, legislative corporate social responsibility (CSR) and the financial performance of banking companies in India.

The study uses the fixed-effect model to measure the impact of financial inclusion on the financial performance of banks listed in the Bank Nifty Index from 2015 to 2022. Furthermore, it examines the interaction effect of legislative CSR and financial inclusion on the performance of banks.

The study shows that financial inclusion indicators positively affect financial performance, which is critical for banking institutions. Empirically, the study provides evidence that legislative CSR is a significant moderator that can influence the relationship between financial inclusion and the financial performance of banks.

The emerging nations may concentrate on implementing legislative CSR spending to achieve economic value for their firms and societal responsibility toward stakeholders.

As per the authors’ collective knowledge, this study is the one that extends the empirical evidence that the legislative CSR is a potential moderator which influences the relationship between financial inclusion and the performance of banks.

The primary purpose of this study is to investigate the impact of carbon productivity on firms' financial performance. Secondly, the study also examines the moderating effect of industry types and firm size in the relationship between productivity and firm performance.

The data used for the study includes 66 listed Indian firms over the period from 2015–2016 to 2019–2020. The data used in the study are collected from the published corporate annual reports and sustainability reports. The study uses a random effect model based on the results of the Hausman test and the Breusch-Pagan test to investigate its objectives.

Carbon productivity has a favorable impact on firms' financial performance in India, indicating that firms may gain competitive advantages by minimizing carbon emissions and improving carbon productivity. Small and high carbon-intensive firms reap greater benefits from the improvement in carbon productivity compared to their opposite counterparts. However, such differential impact is only observed for the market-based measure but not for the accounting-based measure of financial performance.

The results suggest that high carbon-intensive firms should focus more on improving carbon productivity. Small firms and firms belonging to high carbon-intensive industries can improve their market performance by improving carbon productivity.

This study is a noble attempt to investigate the moderating effect of industry type and firm size while examining the impact of carbon productivity on firm performance in the context of an emerging economy.

This study aims to attempt to construct a new mathematical model of the generalized thermoelasiticity theory based on the memory-dependent derivative (MDD) considering three-phase-lag effects. The governing equations of the problem associated with kernel function and time delay are illustrated in the form of vector matrix differential equations. Implementing Laplace and Fourier transform tools, the problem is sorted out analytically by an eigenvalue approach method. The inversion of Laplace and Fourier transforms are executed, incorporating series expansion procedures. Displacement component, temperature and stress distributions are obtained numerically and illustrated graphically and compared with the existing literature.

This study is to analyze the influence of MDD of three-phase-lag heat conduction interaction in an isotropic semi-infinite medium. The current model has been connected to generalize two-dimensional (2D) thermoelasticity problem. The governing equations are shown in vector matrix form of differential equation concerning Laplace-transformed domain and solved by using the eigenvalue technique. The combined Laplace Fourier transform is applied to find the analytical interpretations of temperature, stresses, displacement for silicon material in a non-dimensional form. Inverse Laplace transform has been found by applying Fourier series expansion techniques introduced by Honig and Hirdes (1984) after performing the inverse Fourier transform.

The main conclusion of this current study is to demonstrate an innovative generalized concept for heat conducting Fourier’s law associated with moderation of time parameter, time delay variable and kernel function by applying the MDDs. However, an important role is played by the time delay parameter to characterize the behavioral patterns of the physical field variables. Further, a new categorization for materials may be created rendering to this new idea along MDD for the time delay variables to develop a new measure of its potential to regulate heat in the medium.

Generalized thermoelasticity is hastily undergoing modification day-by-day from basic thermoelasticity. It has been progressed to get over from the limitations of fundamental thermoelasticity, for instance, infinite velocity components of thermoelasticity interference, in the adequate thermoelastic response of a solid to short laser pulses and deprived illustrations of thermoelastic performance at low temperature. In the past few decades, the fractional calculus is used to change numerous existing models of physical procedure, and its applications are used in various fields of physics, continuum mechanics, fluid mechanics, biology, viscoelasticity, biophysics, signal and image processing, control theory, engineering fields, etc.

The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited.

Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations.

It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system.

This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.

This paper aims to consider a sustainable inventory model with price dependent demand, non-instantaneous deterioration rate, discount facility, partially backlogged shortages and advance and delay in payments for a two-warehouse system.

This model considered a non-instantaneous deterioration, which starts after a certain period with a constant rate. The deterioration rate in the rented warehouse is more compared to own warehouse. The proposed model focused on two things. The first one is to the benefits of the advance payments strategy and delayed payment for the retailer and supplier, where the two-warehouse system is available and the second one is using an appropriate discount facility on no of the installment to maximize the total profit. The classical optimization technique is used to solve the problem.

The combination of trade-credits and advance payments is initiated to provide more benefits to the retailer. The findings prove that advance payments, which are received from the retailer to the supplier are beneficial for the supplier, who can influence the demand increase because of higher lower selling prices. Decreasing the selling price is used as a catalyst to increase demand. It also extends the discount concept of Khan et al. (2019, 2019b).

This model is limited by the fact that it does not consider variable deterioration. Therefore, the proposed inventory model could be extended by considering variable deterioration, as well as fully backlogged shortages and time-dependent demand function.

The study simultaneously considers a non-instantaneous deterioration inventory model, advance-payment, trade-credit for a sustainable two-warehouse inventory system. From the literature search to the best of knowledge no researcher has undergone this sort of study.

The purpose of this paper is to examine the factors affecting decision-making at the BoP and propose a framework of the consumer decision-making process at the base of the pyramid (BoP).

The qualitative research design was adopted to collect primary data. Data collected through the in-depth semi-structured interviews of the 48 BoP consumers in Kolkata and Kharagpur (India) were subjected to grounded theory analysis for theory development.

This study reveals that consumer vulnerability affects the decision-making process and the transaction cost at BoP level. It was observed that the consumers at the BoP make constrained choices due to their vulnerability and try to minimise transaction cost while selecting the retails. The constrained retail choice leads to a limited selection of products and brands.

This study, for the first time, has investigated the decision-making process for BoP consumers in detail. As a pioneering attempt, it sheds light on some new factors including consumer vulnerability and transaction cost that have an impact on the consumer decision-making process.

The case highlights the initiatives that can be taken by the management of a large organization to bring more objectivity in promotion policies and to make the process of succession management more scientific. After completing the case, the following teaching objectives should be achieved. Students should be able to comprehend the industrial structure and the key challenges faced by oil and gas industry in an emerging economy – India; students should understand how a large organization can bring objectivity and transparency in its promotion policy by focussing on merit; students can analyse the challenges faced by a large organization in implementing changes in its promotion policy; and students should be able to understand the mechanism of alignment of assessment centres with the promotion policy.

The case deals with bringing change in the competency planning in a large organization. The focus of the case is to explain how a large organization can bring about a radical change in promotion policy especially for employees at the senior positions. The key issue highlighted in the case relates to building competency and linking rewards with merit. The case also highlights the kind of resistance by the stakeholders while enforcing the changes in the organization.

MBA and other similar programmes at the post-graduation level.

Teaching Notes are available for educators only.

CSS 6: Human resource management.