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The purpose of this article is to explore the phenomena of board gender diversity and its consequences for sustainability performance, as measured by the environment, social and governance (ESG) disclosure score, in the Indian context.

The positivist paradigm influenced the research design for this study. The relationship between firm's ESG performance and female participation on the corporate boards was explored using panel data regression with a fixed effect approach. A total of 712 data points covering the Nifty 100 companies of the National Stock Exchange (NSE) were included in the data set. To add robustness to the findings and to overcome endogeneity bias, authors employed the Dynamic Generalized Method of Moments (GMM).

The results showed that, a relatively small, percentage of women directors has little impact on ESG performance, but when at least three women directors are in place, these relationships become more favourable. Despite the fact that Indian firms trail behind many developed and developing countries in promoting board gender equality, authors conclude that critical mass theory partially applies in the Indian context.

This study contributes to the field of corporate governance in the twenty-first century by investigating the subject of women's participation on boards in the context of a rising market and its potential influence on sustainability performance. The use of critical mass theory adds a fresh perspective to the literature.

This paper aims to examine the relationship between the implementation of soft lean practices and organizational resilience development in the service sector.

A mixed-methods explanatory design that relied on two sequential and complementary phases was adopted. In the first phase, a quantitative analysis was performed based on data collected from practitioners from service organizations, allowing the identification of the significance of this relationship. In the second phase, the authors used semi-structured interviews with experts to qualitatively assess how this relationship occurs.

Findings indicated that soft lean practices are positively associated with organizational resilience, although the extent of their relationships varies depending on the resilience ability under analysis. Interviews with experts also provided specific details on how such relationships occur, adding insights to the numerical results.

This study provides a deeper understanding of the implications of lean management, specifically concerning the support of soft lean practices to develop organizational resilience. Additionally, the identification of this relationship (and how it occurs) allows service organizations to deploy human-related strategies to promote broader adoption of certain soft lean practices. As socio-cultural changes are usually time-consuming, anticipating these organizational resilience needs may result in competitive advantages in the face of disruptive events.

This study aims to examine the transitions in hiring criteria by recruiting companies in top ten Quacquarelli Symonds ranked business schools in India during the pandemic.

Using an exploratory lens, an in-depth semistructured interview was conducted with 20 recruiting companies across industries and roles.

Content analysis suggests the changing preferences in hiring criteria and identifies six themes that have assumed importance during the pandemic period.

This study has implications for business school participants who need to change their preparation strategy during the placement season.

There is an opportunity for business schools to focus on these two soft skills, namely, self-management with self-discipline and oral and written communication across the platform. However, in the depth and diversity of soft skills training, there is often a shallow coverage of multiple skills. The rather focused approach to developing these two skills may go a long way in preparing work-delivery graduates who could hit the proverbial ground running as the first step into their careers.

This study contributes to hiring managers by suggesting the traits that may assume importance in the new normal where remote or hybrid working context is a necessity.

This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved Net Promoter Score for Indian digital banks.

This study used an online survey method to gather data from a sample of 485 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using partial least squares structural equation modelling to further investigate the research hypotheses.

The main factors determining digital banks’ OCE were perceived customer centrality, perceived value and perceived usability. Additionally, relevant constructs were evaluated using importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking services; therefore, the outcome may be generalized to a limited extent. To further strengthen digital banking, it would be valuable to imitate studies in other countries.

There is a lack of research on digital banking and OCE in India; thus, this study will help rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between online customer satisfaction, loyalty, trust and the bottom line of financial institutions using these factors as dependent variables instead of traditional measures.

This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives.

This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses.

The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further.

There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

Blockchain technology (BCT) has emerged as a powerful tool for enhancing transparency and trust. However, the relationship between the benefits of BCT and agri-food supply chain performance (AFSCperf) remains underexplored. Therefore, the current study investigates the influence of BCT on AFSCperf and sustainability issues.

Through a comprehensive literature review, various benefits of BCT are identified. Subsequently, a research framework is proposed based on data collected from questionnaire surveys and personal visits to professionals in the agri-food industry. The proposed framework is validated using partial least square structural equation modelling (PLS-SEM).

The findings reveal that BCT positively impacts AFSCperf by improving traceability, transparency, food safety and quality, immutability and trust. Additionally, BCT adoption enhances stakeholder collaboration, provides a decentralised network, improves data accessibility and yields a better return on investment, resulting in the overall improvement in AFSCperf and socio-economic sustainability.

This study offers valuable practical insights for practitioners and academicians, establishing empirical links between the benefits of BCT and AFSCperf and providing a deeper understanding of BCT adoption.

Stakeholders, managers, policymakers and technology providers can leverage these findings to optimise the benefits of BCT in enhancing AFSCperf. Moreover, it utilises rigorous theoretical and empirical approaches, drawing on a multidisciplinary perspective encompassing food operations and supply chain literature, public policy, information technology, strategy, organisational theory and sustainability.

In this introduction to the special issue, ‘Marxist Thought in South Asia’, we detail the long history of Marxist politics and theorizing in South Asia and highlight the unique contributions and perspectives of South Asian Marxists to global Marxism. Three contributions we find particularly significant are (1) South Asian Marxists' approach to thinking about questions of capitalism, colonialism and imperialism, (2) the treatment of agrarian and feudal continuities in Marxist theories from South Asia and (3) unique South Asian contributions to theorizing caste from a Marxist perspective.

This qualitative study aims to examine bankers’ perspectives regarding financial inclusion, the challenges it faces and the scope for improvement. This research proposes a financial inclusion model, considering the inputs received by bankers. Financial exclusion of different sections is an issue common to emerging countries.

Data for qualitative research were collected through interviews with bank officials. The information was gathered from 32 bankers from India’s several zones (North, South, West and East). The data were collected from bankers from different public and private sector banks. Thematic analysis was performed up to the point of saturation to study the response received from bankers.

Bank-related issues such as frequent computer problems, network connectivity problems, costs, a shortage of bank branches, fewer transactions through automated teller machines and a shortage of banking staff affect customers’ confidence in formal banking. Banking services are disrupted by a lack of trust in banking correspondents (BCs), as they are not regular employees of banks. Limits on daily transactions discourage high-value customers from using BCs and kiosks. The time spent on administrative formalities impacts customers. Financial inclusion is affected by availability, accessibility, usage and affordability. Digital financial literacy is essential for ease of transaction, but awareness about financial products helps protect customers from cyber scams. The findings of this research would benefit financial institutions globally in developing their businesses and helping to achieve financial inclusion and the United Nation’s sustainable development goals (SDGs).

This research paper undertakes a qualitative analysis of the views collected from bankers. Bankers are crucial stakeholders in the successful implementation of the National Financial Inclusion Policy of the Government of India. Bankers’ perspectives will be important not only for India and its researchers but also in the global context, as the UN’s SDGs focus on leaving no one behind.

This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.

Due to herbs and plants’ therapeutic properties and simplicity of availability in nature, humans have used them to treat a variety of maladies and diseases since ancient times. Later, as technology advanced, these plants and herbs gained significant relevance in some industries due to their suitable chemical composition, abundant availability and ease of access. Aegle marmelos is a species of plant that may be found in nature. Yet, little or very little literature was located on the coloration behavior of this plant’s leaves. This study aims to focus on the effect of different parameters on the extraction of colorant from Aegle marmelos leaves.

Some factors that affected on the extraction processes were examined and found to have significant impacts on the textile dyeing such as the initial dye concentration, extracted temperature, extracted bath pH and extracted time were all changed to see how they affected color extraction. The authors report a direct comparison between three heating methods, namely, microwave irradiation (MWI), ultrasonic waves (USW) and conventional heating (CH). The two kinetic models have been designed (pseudo-first and pseudo-second orders) in the context of these experiments to investigate the mechanism of the dyeing processes for fabrics under study. Also, the experimental data were analyzed according to the Langmuir and Freundlich isotherms.

From the result, it was discovered these characteristics were found to have a substantial effect on extraction efficiency. Temperature 90°C and 80°C when using CH and USW, respectively, while at 90% watt when using MWI, period 120 min when using CH as well as USW waves, while 40 min when using MWI, and pH 4, 5 and 10 for polyamide, wool and cotton, respectively, were the optimal extraction conditions. Also, the authors can say that wool gives a higher absorption than the other fabric. Additionally, MWI provided the best color strength (K/S) value, and homogeneity, at low temperatures reducing the energy and time consumed. The coloring follows the order: MWI > USW > CH. The adsorption isotherm of wool could be well fitted by Freundlich isotherm when applying CH and USW as a heating source, while it is well fitted by the Langmuir equation in the case of MWI. In the study, it was observed that the pseudo-first-order kinetic model fits better the experimental results of CH with a constant rate K₁ = −0.000171417 mg/g.min, while the pseudo-second-order kinetic model fits better the experimental results of absorption of both MWI (K2 = 38.14022572 mg/g.min) and USW (K₂ = 12.45343554 mg/g.min).

There is no research limitation for this work. Dye was extracted from Aegle marmelos leaves by applying three different heating sources (MWI, ultrasonic waves [USWW] and CH).

This work has practical applications for the textile industry. It is concluded that using Aegle marmelose leaves can be a possible alternative to extract dye from natural resource by applying new technology to save energy and time and can make the process greener.

Socially, it has a good impact on the ecosystem and global community because the extracted dye does not contain any carcinogenic materials.

The work is original and contains value-added products for the textile industry and other confederate fields.