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This paper aims to develop a framework that aids in achieving the desired state of financial performance for corporate enterprises based on distinct configurations of corporate governance (CG) practices.

This study uses a fuzzy-based system to arrive at a definitive configuration of CG practices that lead to a specific level of firm’s performance.

This analysis of the panel data of 92 National Stock Exchange–listed companies conducted for RONW on selected CG variables shows that eight fuzzy configurations lead to a particular state of RONW. The authors compare the results with the conventional regression-based scoring models.

Corporate enterprises can use the derived bundles of CG practices leading to a specific set of financial performance (RONW) to aid the decision-making process in defining and implementing their governance structures. The regulators can modify or customize the law-mandated CG practices to reduce redundancies and promote the national agenda of economic efficiency.

The purpose of this paper is to examine the risk perception of project sponsors in financing of public–private partnership (PPP) infrastructure projects in India.

The methodology used is survey questionnaire that seeks the perception of risk managers in PPP projects. Rating and relative ranking of risk at various phases of PPP project have been analyzed and supplemented by unstructured interviews.

This paper shows that the perception of project sponsors for various levels of project risk categories differ significantly in PPP infrastructure projects. The practices of assessing risk and handling differ among the financing institutions. The ranking of risks shows a disagreement among respondents for relative importance. The project financiers that include major banks and financial institutions funding for the PPP infrastructure projects perceive risks differently, and their disagreement on the relative importance of risks may create a sub-optimality in risk management, and the essence of project sponsorship may be lost.

This paper examines the perceptions of the various risks involved in PPP infrastructure project financing. The authors emphasize on the infrastructure projects in the transportation and energy sector that are undertaken in the PPPs. This research can further be extended to the other infrastructure sectors such as roads, shipping and communication.

Experiences reveal that risk perception profoundly influence the implementation of infrastructure projects involving PPPs. To ensure smooth implementation and success of PPP infrastructure projects, the project sponsors must align, synchronize and develop consensus on the various funding and non-funding risks into the project curriculum.

The PPP infrastructure projects carry huge investment and are of strategic importance to the nation and society. In order that the provision of infrastructure which can be most economically and efficiently delivered through PPPs, the risk concordance assumes crucial importance.

The authors believe that this research may provide new direction to the visible and invisible misbalances in risk postures of project partners, which has been a cause of concern to the government and policymakers in India in the recent times.

Milling is a flexible creation process for the manufacturing of dies and aeronautical parts. While machining thin-walled parts, heat generation during machining essentially affects the accuracy. The workpiece temperature (WT), as well as the responses like material removal rate (MRR) and surface roughness (SR) for input parameters like cutting speed (CS), feed rate (F), depth-of-cut (DOC), step over (SO) and tool diameter (TD), becomes critical for sustaining the accuracy of the thin walls.

Response surface methodology was used to make 46 tests. To convert the multi-character problem into a single-character problem, the weightage was assessed using the entropy approach and the grey relational coefficient (GRC) was determined. To investigate the connection among input parameters and single-objective (GRC), a fuzzy mathematical modelling technique was used. The optimal performance of process parameters was estimated by grey relational entropy grade (GREG)-fuzzy and genetic algorithm (GA) optimization.

SR was found to be a significant process parameter, with CS, feed and DOC, respectively. Similarly, F, DOC and TD were found to be significant process parameters with MRR, respectively, and F, DOC, SO and TD were found to be significant process parameters with WT, respectively. GREG-fuzzy-GA found more suitable for minimizing the WT with the constraint s of SR and MRR and provide maximum desirability of 0.665. The projected and experimental values have a good agreement, with a standard error of 5.85%, and so the responses predicted by the suggested method are better optimized.

The GREG-fuzzy-GA is a new hybrid technique for analysing Inconel625 behaviour during machining in a 2.5D milling process.

The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.

We used machine learning techniques with convolutional neural network.

Detecting COVID-19 symptoms from patient CT scan images.

This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.

This study examines the effect of housing environment on residents’ satisfaction and happiness using the data collected from selected residents of Gurugram, an urban locality in India.

Using the convenience-cum-judgmental sampling technique, data was collected from 321 residents of 17 gated private housing estates and tested by performing factor analysis and partial least squares – structural equation modeling.

The results revealed that maintenance service at housing estates significantly influences residents’ satisfaction followed by social infrastructure, dwelling attributes and residential amenities, whereas the accessibility aspect has no significant impact on residents’ satisfaction and happiness. Results also show a significant impact of social infrastructure on residents’ happiness, and most notably, residents’ satisfaction has a significant influence on their happiness.

The findings of this study are likely to provide valuable insight into housing stakeholders (government officials; real estate developers; property and construction professionals, i.e. planners, architects and maintenance managers) to improve the attributes in urban housing setting and neighborhood facilities to upsurge the residents’ satisfaction and happiness level toward the housing estates and townships, which leads to quality and happiness in residents’ life.

According to the authors’ knowledge, the present study is the first to provide an inclusive way toward showcasing the key antecedents of residents’ satisfaction and happiness in the Indian urban housing context. Authors anticipate that future researchers will find present research as a valuable contribution to the residents’ satisfaction and happiness in urban housing planning and revitalization of urban locations.

The purpose of this paper is to investigate the relationship between dividend policy and the life cycle of firms in India. In addition, this study intends to examine the variation in dividend behaviour over the life cycle of a firm. The study anticipates that a firm's dividend behaviour varies over its life cycle.

To scrutinize the validity of the proposition, the authors classify 1968 non-financial industrial firms listed at Bombay Stock Exchange (BSE) into growth, mature and stagnant firms over the period 2000–20. Additionally, to check the robustness of the results, they use an array of techniques such as analysis of variance, pooled ordinary least squares, fixed effects models and random effects models.

The empirical findings suggest that dividend behaviour varies over a firm's life cycle. Specifically, stagnant firms are paying significantly higher dividends than growth firms. Mature firms are paying significantly higher dividends than growth firms. The results are consistent after controlling the effects of firm's size, profitability, leverage, operating risk, systematic risk and growth opportunities.

The findings are useful for corporate decision makers in establishing an appropriate dividend policy conditional on firms' life cycle stage and for shareholders in making investment decisions.

The relation between dividend policy and firm life cycle has not been examined before in the context of Indian stock market. Thus, this research bridges this gap in the literature.

The purpose of this paper is to study the role of psychosocial safety climate (PSC) on job satisfaction and emotional exhaustion among employees and to examine the mediating role of effort–reward imbalance (ERI) in this relationship.

This study investigated a mediation model with ERI explaining the relationship between PSC and the outcome variables using a sample of 441 employees of information technology (IT) organizations in India. The data were analyzed using structural equation modeling (SEM) techniques with LISREL (linear structural relations) 8.72 software.

The results suggest that PSC significantly influences the employees' experiences of job satisfaction and emotional exhaustion. Also, ERI was demonstrated as a significant intervening construct with full mediation of the PSC–emotional exhaustion relationship and partial mediation of the PSC–job satisfaction relationship.

The study provides substantial results and arguments to encourage organizational-level commitment for psychosocial risk management through distributive fairness and reciprocity in the form of ERI to foster positive attitudes and prevent negative health and psychological outcomes. The cross-sectional nature of the study limits generalizability but contributes to the literature on work stress in a developing country's context.

The study demonstrates how employee outcomes like job satisfaction and emotional exhaustion often result from their perceptions of inequity and imbalance at the workplace. Further, the study builds a strong case for helping organizations contribute to the United Nations (UN) 2030 sustainability goals by empirically establishing the crucial role of top management's commitment and prioritization of employee psychosocial health and safety for designing primary stress-management initiatives for sustainable psychosocial risk prevention and management.

The paper aims to focus on underpinning the moderating role of work meaningfulness in alleviating the impact of general job demands on burnout directly and via work–family conflict by drawing on the conservation of resources theory.

Survey methodology was used for this study, using standardized instruments to assess general job demands, meaningfulness, work–family conflict and burnout. The survey was administered to school teachers (n = 800), and the data set was analyzed through SmartPLS 4.0.

This study ascertained that work meaningfulness moderated the relationship between general job demands and burnout. This study also found that general job demands under conditions of low work meaningfulness positively affected burnout through work–family conflict, thereby validating the moderated mediation model.

While several studies have established the relationship between general job demands, work–family conflict and burnout, to the best of the authors’ knowledge, this is the first study that examined the moderating role of work meaningfulness in the relationship, where work meaningfulness has emerged as a suitable moderator in lowering the impact of job demands on burnout via a work–family conflict. This study contributes to the extant literature on work meaningfulness and adds utility to practice.

The purpose of this paper is to take a micro-foundational perspective to identify the effective leadership style and employee work behavior in achieving the goals of sustainability. It also aims to identify the mechanism through which leaders influence employees’ performance.

The study draws on existing literature for model creation and proposition development to understand the leadership style and employee behavior that would be effective in achieving sustainability goals.

In achieving the multifaceted goals of sustainability, servant leadership style is effective in mobilizing the resources and implementing the sustainability strategies among stakeholders. By enhancing interpersonal trust and psychological empowerment, servant leaders positively influence the work role behavior of the employees. Furthermore, the work performance of employees helps in achieving sustainable development.

This study draws on the theory of micro-foundations to establish how individual-level factors help in realizing the macro goal of sustainability. It throws light on the growing need to cultivate micro-level leadership skills and employee behaviors to have effective organizational sustainability performance. It is imperative for the organizations to be socially responsible along with achieving the business goals.

This study responds to the call of studying micro-level actions in the context of sustainable development. It extends the current knowledge by developing a causal model linking leadership and employee performance through interpersonal trust and psychological empowerment. Moreover, it presents testable propositions linking interpersonal trust and psychological empowerment.

The purpose of this paper is to examine the two alternative theoretical explanations of disengagement at work. Following the job demands-resources (JD-R) perspective, the relationship between job complexity and disengagement is tested. In accordance with the process model of burnout, the association between exhaustion and disengagement is examined. The paper also examines conservation of resources (COR) as an integrative framework as far as the moderating role of resilience in both these relationships is concerned.

Survey-based quantitative methodology was followed. A total of 138 employees of an agro-processing unit in North India were surveyed, and 119 usable responses were obtained. Besides the constructs of interest, the questionnaire also sought responses on the relevant demographic variables.

Both job complexity and exhaustion predicted disengagement at work. However, contrary to a negatively hypothesized relationship between job complexity and disengagement, a positive association was found. Resilience was found to be negatively moderating exhaustion-disengagement relationship. No influence of resilience was found on the complexity-disengagement association.

The findings could be specific to the sample and to India. Caution should be exercised while generalizing. Future researchers should validate the findings across contexts.

The results suggest that complexity may not necessarily be perceived as a resource. Hence organizations must invest in training and skill development programs for their workers. Further, managers should assess resilience as an important component while selecting workers.

Contrary findings vis-à-vis job complexity and disengagement could have implications for the JD-R perspective. Further, this research integrates alternative explanations of disengagement employing the COR framework.