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Green entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.

The study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.

Results indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.

The study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.

This study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.

In recent years, there has been a growing emphasis on competency-based systems as a means of assessing employee performance. These systems assess the degree to which the competencies of employees align with the requirements of their employment positions. This study aims to identify, prioritize, and make contextual interrelationships of the competency dimensions that are relevant for evaluating employees in the context of Indian manufacturing MSMEs.

These dimensions were identified through an extensive literature review and interviews with industry experts. Further, a mixed-methods approach, including the “Bayesian Best-Worst Method” (BBWM), is applied for prioritizing important dimensions, whereas for making mutual relationships, the “Interpretive Structural Modeling” (ISM) method is utilized. “Matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) is also known as “cross-impact matrix multiplication applied to classification” is used for clustering competency dimensions based on their “driving power” and “dependence power”.

The findings reveal that among the primary dimensions, “creative performance,” and among the sub-dimensions, “innovative behaviors,” are the most critical competency dimensions for an employee assessment. The study also found that “smart working”, “factual and theoretical knowledge”, “empathy at work”, “understanding of specific knowledge”, and “engagement ideas and activities” are the main dimensions driving employees' competency.

This paper provides contribution to the competence literature by identifying and evaluating competency dimensions for assessing employees' performance within manufacturing MSMEs in an emerging economy such as India. The study also assesses the rank and contextual relationship between the identified dimensions as no past research focused on the same by using BBWM and ISM in the Indian manufacturing MSMEs context.

In recent years, “Corporate Social Responsibility” (CSR) has gained significant traction as a strategic concept embraced by business managers. However, there remains a dearth of comprehensive research exploring the impact of CSR on “Green Entrepreneurial Orientation” (GEO), a firm’s sustainability performance, and their interplay with other influential factors. Therefore, this study aims to explore how CSR, “Policy Awareness” (PA), and “Personal Innovativeness” (PI) influence GEO and “Sustainable Performance” (SP). The research also delves into understanding the mediating role of GEO and how this mediation is moderated by “Green Innovation” (GI).

Drawing from the “natural resource-based view” (NRBV) theory and employing “partial least square structural equation modeling” (PLS-SEM), the study analyzed a sample of 137 Indian manufacturing “micro, small, and medium enterprises” (MSMEs).

The results underscore the positive associations of CSR and PA with both GEO and SP. Additionally, the findings highlight the moderating effects of GI in enhancing firms' sustainability performance. The moderated mediation analysis reveals that CSR significantly contributes to SP by fostering the adoption of GEO.

These study outcomes offer valuable insights for policymakers, managers, and entrepreneurs, emphasizing the importance of crafting effective CSR strategies intertwined with innovativeness to cultivate a conducive green entrepreneurial ecosystem in businesses aligned with sustainable development goals.

There is a paucity of research on the determinants of GEO within the context of manufacturing MSMEs, especially in developing and underdeveloped nations. Furthermore, no previous study has delved into the factors that underlie GEO using a moderated mediation framework, particularly within the Indian manufacturing MSMEs landscape.

The purpose of this investigation is to determine the nature of the flow field, temperature distribution and heat and mass transfer in a triangular solar collector enclosure with a corrugated bottom wall in the unsteady condition numerically.

Non-linear governing partial differential equations (i.e. mass, momentum, energy and concentration equations) are transformed into a system of integral equations by applying the Galerkin weighted residual method. The integration involved in each of these terms is performed using Gauss’ quadrature method. The resulting non-linear algebraic equations are modified by the imposition of boundary conditions. Finally, Newton’s method is used to modify non-linear equations into the linear algebraic equations.

Both the buoyancy ratio and thermal Rayleigh number play an important role in controlling the mode of heat transfer and mass transfer.

Calculations are performed for various thermal Rayleigh numbers, buoyancy ratios and time periods. For each specific condition, streamline contours, isotherm contours and iso-concentration contours are obtained, and the variation in the overall Nusselt and Sherwood numbers is identified for different parameter combinations.

Migration appears to be a determinant in health-care utilisation, particularly among the elderly in India. Ageing and migration are essential socio-demographic phenomena in the 21st century for developing and developed countries to establish better public health-care policies. This study aims to focus on the status and determinants of health-care utilisation among elderly migrants who have migrated after attaining the age of 45 and above.

This study used the data from the first wave of the longitudinal ageing study in India (LASI) in 2017–2018. Two outcome variables were used to examine the health-care utilisation, including in-patient and out-patient care. Binary logistic regression was used to explore the predictors of healthcare utilisation in terms of in-patient and out-patient care among the elderly migrant population.

A total of 82.9% of elderly migrants had visited out-patient care when they were sick, whereas 15.3% have used in-patient care. Enabling factors, such as wealth quintile and health insurance, and need factor, such as chronic disease and self-rated health, were more significant factors influencing the health-care utilisation.

This study contributes to our understanding of older migrants’ health-care utilisation. Focussing on this study’s outcome, policymakers and decision makers may consider improving older migrants’ access to health-care by raising their income level, offering local health insurance and health awareness programs.

The economic development of Bangladesh is heavily reliant on the banking industry, yet it faces numerous hurdles, including liquidity issues, capital shortages, non-performing loans, inefficiencies and so on. Therefore, this study investigated the performance and efficiency of scheduled banks (state-owned, private commercial, foreign commercial and specialized banks) operating in Bangladesh.

The research was conducted using secondary data from annual reports of banks. The CAMELS rating system and Data Envelopment Analysis (DEA) methods were employed to measure the performance and efficiency of banks, respectively.

In the overall bank rankings, results revealed that foreign commercial Standard Chartered Bank and state-owned Sonali Bank Limited came in first and last position, respectively. Among the four categories of banks, foreign commercial banks were the best performer, while state-owned banks were the worst. Only two banks, i.e. Citibank NA and HSBC Bank, were scale efficient while the remaining banks were inefficient. In terms of performance and efficiency, state-owned and specialized banks were deemed wanting.

This study proposes recommendations to the policymakers that could lead to more effective tactics for improving the banking industry's performance and efficiency.

As far as the authors are concerned, this study presents empirical evidence on the performance and efficiency of different types of banks and explores comparisons among them, which has never been done to this extent in the country before.