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This study attempts to quantify the degree of independence of Central Bank of India from both legal and behavioural contexts over the period 1990–1991 to 2018–2019, a period encompassing major developments in the operation and regulation of Reserve Bank of India (RBI).

We followed Jasmine et al. (2019) to calculate the magnitude of de jure independence of RBI and for de facto independence, “turnover rate (TOR) of CB governor” as proposed by Cukierman et al. (1992) is applied.

The results report that the legal autonomy of RBI increased specifically after the reforms and post formulation of Monetary Policy Committee (MPC). However, the actual independence of RBI remains more or less in line within the critical threshold limit of 0.2.

The study proposes effective implementation of laws and procedures designed to promote the independence of Central Bank of India imperative for an effective monetary operation along with a coordinated fiscal policy.

Targeted study of a particular central bank on its “independence” aspect in general and of the Reserve Bank of India in particular has not been attempted as on date. It is to this end that the present study contributes.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0098.

This study aims to examine how employees’ perception of the ethical conduct of their leaders affects their level of green innovation and environmental performance. Therefore, this study investigated green innovation as a mediator between ethical leadership and environmental performance, specifically within the context of Pakistani restaurants.

Data was collected from the frontline employees using a convenience sampling method having a sample size of 213 respondents. The hypothesized model was analyzed through structural equation modeling using SmartPLS v3 software.

This study shows a (i) positive relationship between ethical leadership and environmental performance, (ii) positive association between ethical leadership and green innovation, (iii) positive relationship between green innovation and environmental performance and (iv) green innovation mediates between ethical leadership and environmental performance.

This research suggests that top management of the restaurants needs to focus on exhibiting ethical leadership behavior, thereby fostering green innovation practices that will improve the environmental performance of Pakistani restaurants.

The current study is novel as it investigates the association between ethical leadership, green innovation and environmental performance, specifically within the context of Pakistani restaurants.

This paper aims to examine the extent to which the presence of women in governance and top management positions is likely to affect corporate environmental, social and governance (ESG) performance. This study also examines the interaction effect between female leadership and cultural leadership in the boardroom.

The empirical quantitative paper covers a sample of French-listed non-financial companies from 2018 to 2022 (925 firm-year observations). France is the European Union pioneer of non-financial reporting and gender equality policies. A fixed-effect panel regression analysis was estimated to unveil the links between the presence of women in governance and top management positions and ESG performance.

Results show that appointing more women on the board of directors and executive team is conducive to higher ESG performance. Nevertheless, the interaction effect between female and cultural leadership does not impact ESG performance.

This study contributes to the accounting and corporate governance literature on gender diversity and ESG performance by investigating female leadership in both directorship and top executive roles.

This study examines the impact of board co-option on environmental innovation and the moderating effect of firms’ industrial context, ESG compensation and environmental policy stringency (EPS) on this relationship. Finally, we examine the implications of the board co-option and eco-innovation nexus on the market value of firms.

This study employs the system generalized method of moments (GMM) estimator on a longitudinal panel dataset of the US-listed firms to test the proposed hypotheses. The system GMM findings are substantiated using the entropy balancing method and difference-in-differences (DiD) estimations to better establish causality while addressing endogeneity concerns.

The findings provide evidence that board co-option has a negatively significant relationship with environmental innovation. Further analyses imply that the impact of board co-option on environmental innovation is positively significant among firms operating in environmentally sensitive industries, with ESG compensation for executives, and those operating in environments characterized by high environmental policy stringency. Taken together, these results suggest that industrial context, ESG compensation and environmental policy stringency moderate the impact of board co-option on environmental innovation. The results also reveal that more environmentally innovative firms attain greater market valuation when the board is co-opted.

This study is a novel attempt to contribute to the debate on board composition and its impact on corporate environmental innovation. It complements the existing literature on sustainability governance and accounting by providing an understanding of the impact of board co-option on corporate environmental innovation and highlights the role of regulatory pressure, industrial context and executive compensation structure in shaping this relationship. The findings offer valuable insights for academics, senior management and policymakers.

This study aims to explore the associations between leadership styles (i.e. transformational and ethical) and innovative work behavior within higher education institutions (HEIs), additionally investigating the mediating role of work engagement and the moderating role of psychological empowerment.

The basis of this study rested upon adopting a cross-sectional research framework. The data were acquired from a sample comprising 825 academic staff and 275 leaders across 226 HEIs in China. Employing a quantitative methodology, the researchers used AMOS version 26.0 and SPSS version 22.0 for statistical analysis.

The results indicated that leadership styles (i.e. transformational and ethical) positively affected innovative work behavior, both directly and indirectly (via work engagement). Also, psychological empowerment moderated the linkage between leadership styles and innovative work behavior but not the association between work engagement and innovative work behavior.

Despite some existing literature having discussed the correlation between leadership styles and innovative work behavior, there appears to be a conspicuous dearth of research endeavoring to explore the mediator (i.e. work engagement) and the moderator (i.e. psychological empowerment) within the above nexus, especially in the context of HEIs. Thus, this study can be considered original, introducing novel perspectives and substantial contributions to the management literature on HEIs. In addition, it offers insights for organizational managers.

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.

The application of steel fiber reinforced concrete (SFRC) beams is limited in practice, partially due to the lack of accurate shear strength prediction models. This study aims to develop a reliable shear strength prediction model for SFRC beams.

In this study, an artificial neural network was employed to predict the shear strength of SFRC beams, utilizing a comprehensive database of 562 experimental studies. Multiple neural networks were established with varying hyperparameters, and their performance was evaluated using statistical parameters.

The neural network with 11 neurons showed superior results than other networks. The performance evaluation, efficiency and accuracy of the selected neural network were examined using margin of deviation, k-fold cross-validation, Shapley analysis, sensitivity analysis and parametric analysis. The proposed artificial neural network model accurately predicts the shear strength and outperforms other existing equations.

This research contributes to overcoming the limitations of existing prediction models for shear strength of SFRC beams without stirrups by developing a highly accurate model based on ANN. Utilizing a comprehensive database and rigorous evaluation techniques enhances the reliability and applicability of the proposed model in practical engineering applications.

The heat transport phenomenon in which energy transfers due to temperature differences is an important topic of interest for scientists in recent times. It is because of its wide range of applications in numerous domains such as electronics, heat dispersion, thermoregulation, cooling mechanism, the managing temperature in automotive mobile engines, climate engineering, magnetoresistance devices, etc. On account of such considerations, the magnetohydrodynamic (MHD) entropy rate for nanomaterial (CoFe₂O₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is analyzed. The Darcy–Forchheimer relation is utilized to describe the impact of a porous medium on a stretched sheet. Two nanoparticles molybdenum (MoS₄) and cobalt ferrite (CoFe₂O₄) are combined to make hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂). Heat flux corresponds to the Cattaneo–Christov model executed through heat transfer analysis. The influence of dissipation and heat absorption/generation on energy expression for nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is described.

Nonlinear partial differential expressions have been exchanged into dimensionless ordinary differential expressions using relevant transformations. Newton’s built-in shooting method is employed to achieve the required results.

Concepts of fluid flow, energy transport and entropy optimization are discussed. Computational analysis of local skin friction and Nusselt number against sundry parameters for nanomaterial (CoFe₂O₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is engrossed. Larger magnetic field parameters decay fluid flow and entropy generation, while an opposite behavior is observed for temperature. Variation in magnetic field variables and volume fractions causes the resistive force to boost up. Intensification in entropy generation can be seen for higher porosity parameters, whereas a reverse trend follows for fluid flow. Heat and local Nusselt numbers rise with an increase in thermal relaxation time parameters.

No such work is yet published in the literature.

The advent of a dynamic and uncertain environment has shifted organizational focus from reactive to proactive approaches to develop resilience against disruptions. Organizations can strengthen their supply chain networks through strategic changes in structure and processes. In this connection, this study explores the extant literature on supply chain resilience (SCRE) concerning soft organizational factors (leadership, organizational culture and knowledge management) to analyse recent trends in this domain and propose future research directions.

It is a bibliometric analysis and systematic literature review of research articles from 2004 to 2024, collected from ISI Web of Science with keywords searches such as “knowledge management and supply chain resilience,” “leadership and supply chain resilience” and “organizational culture and supply chain resilience.” “VOS viewer” and “ATLAS.ti” were utilized for the co-occurrence and co-authorship analysis of the articles along with focusing on aspects such as theoretical and practical implications, the collaboration institutions and the countries involved in relation to the topic of interest.

The review shows that the development of studies on SCRE was slow from 2004 to 2015 but grew significantly from 2015 onwards and rose exponentially after 2020. Most studies were published in 2023. Results reveal the development of proactive strategies for SCRE in the recent literature by focusing on organizational factors. The study highlights exploring the contextual interplay between environmental, social and governance (ESG) and soft organizational factors for mitigation of supply chain risk and resilience in large-scale projects.

The COVID-19 pandemic became the precursor to highlighting the antecedents of SCRE, but the study of soft organizational drivers is still an ongoing area of research. There is a need to map the nascent literature on the link between organizational soft drivers and SCRE.

This study aims to explore the determinants of green electronics purchase intention in Malaysia by extending existing knowledge on green consumer behavior and contributing to the field of sustainable consumption.

A quantitative research approach was adopted, with data collected from 250 Malaysian consumers. The proposed model was tested using partial least squares structural equation modeling to assess the relationships between various determinants and green purchase intention.

The results demonstrate that perceived consumer effectiveness, green advertising and monetary cost positively affect environmental attitudes, which subsequently influence green purchase intention. The study also identifies that brand image and information quality significantly enhance green brand trust (GBT), leading to stronger intentions to engage in green purchasing. Additionally, it finds that environmental knowledge and environmental concern shape perceived behavioral control, which further impacts green purchasing intention.

The study focuses on Malaysian consumers, which may limit the generalizability of the findings to other cultural contexts. Future research could expand the scope to include cross-cultural comparisons to validate the model in different settings.

By providing insights into the key factors driving consumers’ intention to purchase green electronics, the study offers valuable guidance for marketers and manufacturers to develop targeted strategies that promote sustainable consumption and capitalize on the growing demand for green products in Malaysia.

This study is unique in measuring the influence of green attitude, GBT and perceived behavioral control on green purchase intention specifically within the electronics sector, offering a novel contribution to the literature on sustainable consumer behavior.