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This study aims to examine whether and how the presence of co-opted directors (directors appointed after the incumbent CEO) influences corporate climate risk disclosure.

This study comprehensively analyses 2,975 firm-year observations of US-listed companies, using ordinary least squares with industry and year-fixed effects. To confirm the reliability of the study results, the authors used several techniques, including propensity score matching, to address potential issues with functional form misspecification, analysed a subset of companies where co-option persisted over two consecutive years to mitigate concerns regarding reverse causality and difference-in-differences estimation, using the cheif executive officer’s (CEO’s) sudden death as an exogenous shock to board co-option to mitigate endogeneity concerns.

The findings indicate that the presence of a large number of co-opted directors negatively influences corporate climate risk disclosure. Mediation analysis suggests that managerial risk-taking partially mediates this negative association. Moderation analyses show that the negative impact of co-opted directors on climate risk disclosure is more pronounced in firms with greater linguistic obfuscation, limited external monitoring and in environmentally sensitive industries. Moreover, co-opted directors intentionally withhold or obscure the disclosure of transition climate risks more than physical climate risks.

This research has important implications for policymakers, regulators and corporate governance practitioners in designing board structures by highlighting the adverse impact of co-opted directors in contexts with lax regulatory enforcement and managerial discretion. The authors caution against relying on such directors for providing climate-related risk disclosures, especially in companies with poor external monitors and based in environmental sensitivities, as their placement can significantly undermine transparency and accountability.

This study adds to the existing body of knowledge by highlighting the previously unexplored phenomenon of intentional obscurity in disclosing climate risks by co-opted directors. This research provides novel insights into the interplay between board composition, managerial risk-taking behaviour and climate risk disclosure. The findings of this study have significant implications for policymakers, regulators and corporate governance experts, and may prompt a re-evaluation of strategies for improving climate risk disclosure practices.

This study aims to examine whether the adoption of the International Integrated Reporting Council’s Integrated Reporting Framework (IIRC Framework) influences the extent of forward-looking disclosures provided by reporters.

This study captures forward-looking disclosures of Australian and New Zealand-based reporters by analysing integrated and annual reports over a period of 10 years from 2010 to 2019 using a machine learning algorithm. This study uses signalling theory to frame the analysis.

This study finds that the adoption of the IIRC Framework has a significant positive impact on the extent of forward-looking disclosures provided by reporting entities. The primary evidence suggests that while listing status alone negatively influences the extent of forward-looking disclosures, the additional analysis reveals that the acceptance of the IIRC Framework by listed entities is positively associated with an increase in forward-looking information. These results remain valid when subjected to a variety of robustness (alternative variables and country fixed effect) and endogeneity (system generalised method of moments and entropy balancing estimations) tests.

The findings have practical implications as regulatory agencies (including stock exchanges and standard setters), seeking to promote greater forward-looking disclosures, may want to encourage the adoption of the IIRC Framework.

The IIRC’s Framework promotes greater forward-looking disclosures benefiting stakeholders who gain a better understanding of the reporters’ future risks and opportunities (including social, economic and environmental risks) and how these are being managed/addressed.

This study provides novel evidence by highlighting the role played by the IIRC Framework in promoting forward-looking disclosures.

The purpose of this special issue (SI) lead paper is to examine the role of digital technologies in sustainability accounting, reporting and assurance; review the articles in this SI; and identify future research directions.

This paper draws on academic literature to explore the role of digital technologies in sustainability accounting, reporting and assurance.

Digital technologies can assist in setting disclosure scope and objectives (e-taxonomies); undertaking materiality assessments (digital communication, artificial intelligence and big data analytics); collecting and analysing data (Internet of Things and radio frequency identification); potentially revolutionizing sustainability assurance practices; and disseminating disclosures (interactive reports). Papers in this SI examine a range of digital technologies and issues. Future research can examine the impact of Industry 4.0, barriers to adoption (and overcoming these), use of alternative theories and methodologies, critical examination of the benefits of digitalization and impact of digital technologies on the sustainability reporting and sustainability assurance processes.

This paper seeks to set the agenda for contemporary and future research on sustainability accounting, reporting and assurance and digital technologies.

The findings from this study have implications for regulators, standard setters and practitioners (including sustainability reporting managers and sustainability assurance providers), highlighting the impact of digital technologies on sustainability accounting, reporting and assurance.

Sustainability accounting, reporting and assurance concepts, techniques and practices play a key role in promoting transparency and organizational accountability to stakeholders on sustainability. Understanding how digital technologies can be leveraged to enhance sustainability accounting, reporting and assurance offers benefits to stakeholders and society.

This research offers a holistic view of the entire spectrum of sustainability accounting, reporting and assurance concepts, technologies and practices and the potential role digital technologies can play in them. It also offers insights for future research in a contemporary area.

The Dissolved Oxygen (DO) level of the rivers is a unique indicator of aquatic health. Decrease of DO values will adversely impact the biotic community sustained by the aquatic ecosystems. We analysed the DO level at six sites of the River Ganges adjacent to the megacity of Kolkata during the COVID-19 induced lockdown period in April 2020 and compared it with data collected from 2015 to 2019 without altering the sampling and monitoring protocols. The normal decreasing trend of DO during the time phase of 2015–2019 suddenly exhibited a sharp spike during the COVID-19 lockdown phase. The DO values hiked significantly during COVID-19 lockdown phase in all the stations with the spatial trend Botanical Garden (6.44 mg/l) > Ramkrishna Ghat (6.32 mg/l) > Shibpur Ghat (6.21 mg/l) > 2nd Hooghly Bridge (6.19 mg/l) > Princep Ghat (6.09 mg/l) > Babughat (5.79 mg/l). The data pattern confirms a straightforward improvement of water quality during the lockdown phase in the context of the DO level, which is congenial for aquatic biodiversity of the River Ganges at the local scale.

Despite recent economic progress, Bangladesh still faces significant challenges from natural disasters that impact food security and employment. In 2017, a severe flash flood caused by excessive rain and onrush from India devastated the haor-based Sunamganj district. The study explores the impacts of the flash flood on food security, employment and the overall well-being of the affected population, as well as evaluates government and NGO initiatives taken to alleviate the crisis using a mixed-methods approach, incorporating qualitative and quantitative data collection techniques such as in-depth interviews, focus group discussions (FGDs), key informant interviews and surveys from the flash flood-affected people residing in the five affected villages. The study observes that the flash flood caused severe damage to the agricultural sector, with almost every farmer in the affected area losing their single-season high-yielding Boro paddy, resulting in year-long food insecurity and unemployment. The government responded to the situation by providing year-long food and monetary aid through various social safety net programmes, although some accusations of nepotism and embezzlement were reported. The study found that the majority of the people were reliant on government aid for survival throughout the year. Moreover, some NGOs also played a crucial role by providing food and other support. The research suggests that transparency and accountability must be prioritized to ensure fairness, and positive lessons learned from the government's efforts during this flash flood might be helpful in reducing vulnerability and distributing relief more effectively.

Financial market sustainability is gaining attention as investors and stakeholders become more aware of environmental, social and governance issues, pushing demand for responsible and ethical investment practices. Therefore, this study aims to investigate the impact of carbon (CO2) emissions from three sources, oil, gas and coal, on the stock market sustainability via effective government policies.

The eight countries belong to two different regions of world: Asian economies such as Pakistan, India, Malaysia and China, and OECD economies such as Germany, France, the UK and the USA are selected as a sample of the study. The 22-year data from 2000 to 2022 are collected from the DataStream and the World Bank data portal for the specified countries. The generalized methods of movement (GMM) and wavelet are used as the econometric tool for the analysis.

Our findings show that the CO2 emission from coal and gas significantly negatively impacts stock market sustainability, but CO2 emission from oil positively impacts stock market sustainability. Moreover, all the emerging Asian economies’ CO2 emissions from coal and gas have a much greater significant negative impact on the stock market sustainability than the OECD countries due to the critical situation. However, the government’s effective policies have a positive significant moderating impact between them, reducing the effect of CO2 emission on the stock market.

This study advocated strong implications for policymakers, governments and investors.

Effective government policies can protect the environment and make business operations suitable, leading to market financial stability. This study advocated strong implications for policymakers, governments and investors.

This study provides fresh evidence of the government’s effective role to control the carbon environment that provide the sustainability to the organizations with respect to OECD and emerging economy.

This paper aims to examine the impact of corruption on bank stability and bank profitability separately for Islamic banks as well as conventional banks. Moreover, it also investigates whether the existence of Islamicity and corruption in the environment can moderate the Islamic banks-stability and Islamic banks-profitability relationships.

Sample of the study consists 136 banks comprising 70 Islamic and 66 conventional banks over the period 2015–2021 from nine countries with dual banking systems. Panel data fixed effect estimator with year effects is used to estimate the results.

Results of the study show that Islamicity is positively and corruption is negatively related to bank stability as well as bank profitability. Further, it is found that the effect of corruption is significantly different between Islamic and conventional banks, wherein conventional banks are more adversely affected than Islamic banks. However, an insignificant difference between Islamic and conventional banks is observed in the case of Islamicity.

The study provides theoretical and practical implications. On theoretical side, the study presents Islamicity as more reliable measure of religiosity based on Islamic values that can help in control of corruption by moderating corruption-bank stability nexus especially in dual banking economies which have high share of Muslim population. On practical side, the study recommends policy and operational measures for mitigating corruption aiming bank stability.

The results of this study contribute to the corruption-finance, religion-finance and dual banking literature. This study suggests that regulators and bank management must consider corruption and Islamicity while formulating their policies for better bank performance/stability.

The purpose of the paper is to investigate the association between corporate social responsibility (CSR) and investment efficiency (INE) in Bangladeshi pharmaceutical companies and to explore the moderating role of corporate reputation in this relationship.

The paper employs a two-step method, with stage 1 involving the development of a theoretical model using the literature's strategic framework and stage 2 using structural equation modelling (SEM) to investigate the relationships between variables. The data set used in the analysis includes 296 responses from senior executives/managers and subordinates at Bangladeshi pharmaceutical firms.

The study finds that CSR activities that focus on customers, employees and the community significantly affect INE, as well as the extended stakeholders, and that company reputation moderates this relationship. The effect of CSR on INE differs between well-established companies and business firms with favourable reputations.

The paper contributes to understanding the relationship between CSR and INE in a developing country context and highlights the importance of corporate reputation in this relationship. The findings suggest that companies can enhance their INE through CSR initiatives and that a positive reputation can strengthen this relationship further.

The study adds to the limited literature on CSR and INE in developing countries and provides new insights into the moderating role of corporate reputation in this relationship.

There is a compelling need for developing constructs in management science rather than adapting the constructs that have been developed in other domains. Having emerged in the 1950s, quality of work-life (QWL) measures have proved to be ineffective due to the lack of conceptual clarity and theoretical support. The article analyses the QWL measures highlights their coherence and verifies them for being used in specific contexts.

The study includes three stages to develop a QWL Measurement Scale. Fourteen questions were developed based on QWL concepts. They were validated using exploratory factor analysis (EFA) which split the dimensions into five factors. A survey was conducted on 375 medical residents. Finally, confirmatory factor analysis (CFA), convergence and validity were tested along the five dimensions.

Results extend the QWL concept and provide theoretical support for the same. Five dimensions were developed to measure QWL namely: pay and benefits, supervision, intra-group relations, working conditions and training.

The study may offer an overview of evaluation strategies to researchers and organizations that aim to improve employee QWL while they enhance its effectiveness through reliable instruments.

The scale developed in this study contributes to the body of QWL literature in the healthcare arena. It may be beneficial to carry out further research in this domain.

Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise drones for parcel delivery however, the intention to use drones among online shoppers was not fully explored. The study attempts to investigate the factors influencing the intention to use drones for last-mile delivery.

A total of 292 data were gathered via an online survey among online shoppers applying a snowball sampling method. Since the study operationalised the measures as composites, a combination of reflective and formative measurement, and the study focusses on predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed based on the stimulus-organism-response model.

The analysis found that all the direct hypotheses were found supported. Moreover, Green support, green desire and pro-environmental behaviour positively and sequentially mediated future orientation and intention, whereas technology anxiety and perceived safety moderated the relationship between pro-environmental behaviour and intention.

The respondents only limit to the online shoppers in Malaysia which based on purposive sampling method, thus the findings cannot be generalized to another countries.

Besides enriching the literature on drone studies, the findings provided practical insights to online platforms and drone operators to develop an effective strategy to encourage online shoppers to shift from conventional delivery to drone delivery.

The study developed a new model for drone delivery studies using the S-O-R model in introducing orientation towards the future and green support as the stimulus, green desire as an organism and pro-environmental behaviour and usage intention as a response. The study introduced multiple sequential mediators, also contributing to the S-O-R model to predict online shoppers' behaviour towards drones as a tool for last-mile delivery. Another important contribution, technology anxiety and perceived safety were confirmed to have a moderation effect for the relationship between pro-environmental behaviour and intention to use drones for last-mile delivery.