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Working capital efficiency (WCE) is crucial for the sustainability of both large and small firms. This study aims to use the sample of micro, small and medium-sized enterprises (MSMEs) in India and tries to understand the critical determinants of WCE.

Using a fixed effect panel data model on a sample of 578 MSMEs (59 micro, 226 medium and 296 small firms), this study explores the relationship between the predictors of WCE. Additionally, the study adopted two metrics for measuring WCE among each type of firm (micro, small and medium).

Several firm-specific variables, including leverage (lever), firm age (AGE), firm size (Fsiz), profitability (Prof), extended payment terms (EPT), human capital (HCap), asset turnover ratio (ATR), reverse factoring (RF) and firm growth (FG), have a significant effect on working capital management efficiency (WCE). In contrast, tangibility (Tangib) and salary expenses (Sal) had an insignificant effect on working capital management efficiency.

The study is based on secondary data. Future studies may incorporate some primary data, which will facilitate qualitative analysis.

The studies explore the relationship between WCE and expenses in HCap, EPT, RF and Sal as the predictors for WCE, which was not studied earlier in MSMEs scenario, especially in case of developing nation.

This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN).

A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME.

Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME.

The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively.

Acceptance of remanufactured products by the consumers is highly essential for the success of closed loop supply chain and for achieving the goal of circular economy. However, the literature shows that consumers are reluctant to purchase remanufactured products. Therefore, the study of attitude and purchase intention (PI) of the consumers toward remanufactured products becomes inevitable for popularizing these products. The paper aims to discuss this issue.

This research proposes a conceptual model to examine the critical factors influencing the PI of Indian consumers toward remanufactured products. Further, this model is empirically tested, using structural equation modeling technique, based on the data obtained from 1,534 respondents.

The findings of this research suggest that PI of consumers is influenced by attitude, personal benefits, remanufactured product knowledge, risk perception, subjective norm and market strategy. However, perceived behavior control and green awareness have a non-significant impact on the PI of Indian consumers.

The proposed conceptual model is tested only against the data received from the students of Indian universities who possess electronic gadgets.

The circular economy can be realized through remanufacturing if the attitude of consumers is shaped positively toward remanufactured products through the dissemination of comprehensive product information.

This research is the first attempt to assess the PI of Indian consumers by developing and testing the conceptual model. Further, this research provides guidelines to remanufacturing firms for attracting the consumers toward the purchase of remanufactured products.

As the COVID-19 epidemic ravages the world in the fourth industrial revolution era, the manufacturing sector faces its worst situation in a century. Lean philosophy, renowned as a “warrior philosophy,” can be an able rescuer to these industries. This study aims to identify the hurdles to lean strategy implementation and conduct an analysis to provide cognizance to policymakers, practitioners and decision-makers.

This study aims to identify the obstacles that obstruct lean implementation into seven primary barriers/components, with the fuzzy DEMATEL approach being used to evaluate the critical factors as well as the cause and effect factors among them. Expert opinions are sought to obtain the relevant data for evaluation purposes.

The results reveal that a firm should focus on firm cultural conflict scenario, resources–responses incapability, improve on suppliers’ attitude and execute a proper planning and logistics equation to alleviate the hindrances of implementing lean. As these causal factors influence the effect factors, namely, top management vision, management–employee relationship and human resource building, focusing on them automatically improves the effect factors; thus, the surge to overcome resistance to lean implementation is alleviated.

This research aids in identifying and analyzing lean implementation issues in the manufacturing and industrial sectors. The observations, results and insights drawn can act as a guiding force to rupture the resistance envelope covering the domain of lean implementation and possibly reinstating industries to survive and excel in the business post-COVID era.

This research introduces barriers to lean implementation in a unique way, as it articulates all sections of an industry and group the barriers based on the classification. It further prioritizes the barriers for their importance in the Indian industrial scenario. This would help the industry professionals and managers access the barriers and generate insight on how and where to start implementing lean.

Safety in construction projects is essential and requires more attention towards minimizing the accident rate. Problems concerning awareness of safety risks, procedures and practices still exist in the industry, which indicate a shortfall in diffusion of safety-related knowledge in construction industry. Also, there is dearth of studies on knowledge management strategies to prevent reoccurrence of accidents and thereby improve safety culture in construction industry. This study attempts to unveil aspects of knowledge management that are ignored in considering safety culture and discern the differences in the perception of key stakeholders of construction industry. Therefore, the objective of this study is to identify and measure knowledge-based safety culture elements.

In this paper, the focus is on the application of a reliable, valid and sensitive knowledge-based safety culture assessment tool on key stakeholders operational in construction industry. Research method adopted is a questionnaire-based survey to seek responses from industry professionals. A total of 199 responses were obtained from 106 different companies operational in Indian construction industry. Statistical analyses including ranking analysis, t-test, correlation analysis, and ANOVA test are utilized for comparing and identifying the differences in view of stakeholder's perceptions concerning workplace safety.

This study helps to identify and rank critical knowledge-based safety culture elements from the perspective of key stakeholders of construction industry. This contributes in identifying the most critical and neglected variables among the key stakeholders regarding aspects of safety culture. Also, the study shows the importance of knowledge dimension in developing overall safety culture in construction industry.

Results of this study offer valuable insight in enabling key stakeholders of construction industry to examine and enhance their safety performance. The implications of this study contribute new knowledge in assessing conditions that will improve worker safety in the construction industry. The paper should be of interest to researchers and practitioners in the area of occupational health and safety management.

In the present competitive scenario in the Indian banking industry, service quality has become one of the most important facets of interest to academic researchers. The purpose of this paper is to determine the dimensions of perceived service quality and investigate their impact on customer satisfaction in the Indian banking context, with special reference to selected public sector banks in India.

On the basis of the empirical study, the authors validate a measurement model using structural equation modeling for investigating the impact of perceived service quality dimensions on customer satisfaction. The study sample consists of 480 respondents in the National Capital Region (NCR) of India; the data were collected through a structured questionnaire utilizing a seven-point Likert scale while implementing a purposive sampling technique.

The perceived service quality dimensions identified were tangibility, reliability, assurance, responsiveness, empathy, and image. The empirical findings revealed that “responsiveness” was found to be the most significant predictor of customer satisfaction. On the other hand, “image” (corporate image) has a positive but the least significant relationship with customer satisfaction followed by all other constructs. The exception is “reliability,” which is insignificantly related to customer satisfaction in Indian public sector banks.

The study cannot be generalized in the context of Indian banking sectors, as it only focused on the public sector. The findings of this study suggest that the six dimensions of perceived service quality model are a suitable instrument for evaluating bank service quality for public banks in India. Therefore, bank managers can use this model to assess the bank service quality in the context of Indian public sector banks.

There is dearth of research focusing on corporate image as a dimension of perceived service quality and its effect on customer satisfaction in the Indian banking context. Furthermore, similar studies were rarely found in the Indian context, especially within the public banking sector. Hence, this paper attempts to accomplish the research gap by empirically testing the satisfaction level of a large sample of the population in NCR toward six dimensions of perceived service quality rendered by selected public sector banks in India.

India is a rapidly urbanizing developing country with a population of 1.4 Billion. Indian governments have invested USD 50 Billion) in metro rail projects in 18 cities. Metro constructions are multi-stakeholder mega-projects and are prone to a variety of risks. The purpose of this paper is to analyze the risks involved in metro rail construction projects in a densely populated developing country for two types of systems and from two perspectives. Current literature lacks an understanding of similarities and differences in the risks involved in underground and elevated metro projects from clients' and contractors' perspectives, which the paper highlights.

A total of twenty-five risks were identified, categorized and assessed through experts' opinions about the impact and probability of occurrence of the risks through a questionnaire-based survey. The survey respondents included experts in metro rail construction from client and contractor sides. Paper uses a Fuzzy Inference System to calibrate risk magnitude from occurrence probability and impact.

A notable difference was observed in the views of clients and contractors, except for certain common risks. Both stakeholders had different risk perceptions for the underground and elevated metro rail systems.

This study contributes to the risk assessment for different types of metro systems. This research can help policymakers as well as consultants in prioritizing their risk management strategies in developing countries like India.

Highlighting the critical aspects of risks in metro projects in a developing country, this paper also provides system-based and stakeholder-based comparative aspects of risk analysis.

This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.

This study performs an extensive literature review and covers the several aspects of green energy management operations.

The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.

The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.