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This study aims to investigate the factors influencing Indian banks’ choice of green loan disclosure practices. The study analyzes the effect of financial and governance variables to understand the sustainable reporting (through green lending) behavior of Indian banks.

The data on green loan disclosure has been hand-collected from the annual reports using a content analysis approach. Using the data of 26 banks for 12 years (2012–2023), the study uses the panel regression method to control for cross-sectional heterogeneity and generalized methods of the moment to address potential endogeneity issues.

The empirical results depict that larger banks with sufficient risk capital and a strong corporate governance framework demonstrate greater disclosure of green loans. However, growth opportunities and higher market value impedes the reporting of green lending.

The findings of the study will enhance the extant literature on sustainability disclosure by integrating the financial sector companies in the context of an emerging economy. However, future research may include nonbanking finance companies as well.

Banks use societal deposits to invest in productive avenues, and therefore, it is paramount to understand their social and environmental consciousness while evaluating a financing proposal. This research provides a thorough understanding of the sustainable reporting of banks through the lens of green lending.

This research provides unique evidence on the bank-specific determinants of green loan disclosure in an emerging economy context as against the extant literature which primarily focused on sustainable reporting of nonfinancial companies.

This study investigates how employees' experience of resource-depleting workplace loneliness may steer them away from performance-enhancing work efforts as informed by their propensity to engage in negative work rumination. It also addresses whether and how religiosity might serve as a buffer of this harmful dynamic.

The hypotheses tests rely on three-round survey data collected among employees who work in various organizations in Pakistan – a relevant country context, considering the importance of people's religious faith for their professional functioning and its high-uncertainty avoidance and collectivism, which likely make workplace loneliness a particularly upsetting experience.

An important channel through which a sense of being abandoned at work compromises job performance is that employees cannot “switch off” and stop thinking about work, even after hours. The role of this explanatory mechanism is mitigated, however, when employees can draw from their religious beliefs.

For human resource (HR) managers, this study pinpoints a notable intrusion into the personal realm, namely, repetitive thinking about work-related issues, through which perceptions of work-related loneliness translate into a reluctance to contribute to organizational effectiveness with productive work activities. It also showcases how this translation can be subdued with personal resources that enable employees to contain the hardships they have experienced.

This study helps unpack the connection between workplace loneliness and job performance by detailing the unexplored roles of two important factors (negative work rumination and religiosity) in this connection.

Knowledge is the source of competitive advantage, but when shared at all levels. Unfortunately, there is a universal unruly present in the form of knowledge hiding at employees’ level, but the causes and remedies are still vague as past studies have rarely investigated the causes of daily knowledge hiding behavior. Against this backdrop, this study aims to entail a daily diary method investigation of the role of daily abusive supervision in daily employees’ knowledge hiding through the mediation of dehumanization and moderation of psychological capital.

The data for this study is collected using a daily diary method approach, which estimates the daily workplace events and their continuous influence on employees’ feelings (i.e. dehumanization) and actions (knowledge hiding). The daily responses of 279 respondents were considered useful for analysis purposes.

The findings of the study revealed that the daily events of abusive supervision have both direct and indirect (through dehumanization) influence on employees’ daily knowledge hiding behavior. Moreover, psychosocial capital has a significant conditional influence in the relationships of negative workplace treatments (abusive supervision and dehumanization) and their outcomes (i.e. knowledge hiding).

The study provides some theoretical and practical insights by providing the explanatory and coping mechanism between continuous abusive supervision and daily knowledge hiding behavior.

There is a dearth of literature that has focused on daily episodes of abusive supervision, dehumanization and knowledge hiding behavior. Furthermore, the moderating role of psychological capital has also been rarely investigated.

The present work investigated the effect of corporate social responsibility and top management support on employee ecological behaviour (EEB) with the mediating role of green culture and green commitment. Social identity theory (SIT) was used to describe the association between green culture, green commitment and EEB. Further, a conceptual model that summarises the interaction between perceived corporate social responsibility, top management support, green commitment, green culture and the adoption of ecological behaviour was developed.

The paper opted for a quantitative design using convenience sampling by collecting the data through a structured questionnaire gathered from 308 academics working in five Malaysian higher education institutions.

Corporate social responsibility and top management support positively influence green culture and commitment. Moreover, green commitment positively influenced EEB and fully mediated the relationship between corporate social responsibility and EEB and between top management support and EEB.

The academic staff of universities was the target population of this research. Nevertheless, universities have a diverse population with complex activities that can affect the implementation of a sustainable workplace within the campus. Future research should also examine non-academic staff, including administrative, technical and operational staff, due to different employees' perceptions.

As far as the authors know, this is the first study to assign the mediator role to green culture in a relationship between top management support and EEB amongst academic staff in the Malaysian context. Future research should consider other intervening variables that influence adopting ecological behaviour.

This study aims to examine the influence of corporate carbon emissions on the financial performance of select Indian companies. It further studies the moderating role of science-based target initiatives (SBTi) in this relationship.

The study is based on 57 Indian SBTi companies and 74 Bombay Stock Exchange-listed non-SBTi companies for the period of four years from 2019–2020 to 2022–2023. The panel data regression models are used to study this association. Furthermore, two-stage least square and generalized method of moments models are used to test the robustness of the results.

There is a negative relationship between corporate carbon emissions and financial performance. The findings support the “win-win” hypothesis and confirm that reducing carbon emissions can improve the financial performance of Indian firms. Furthermore, the SBTi moderate the carbon emission and firm performance nexus.

The findings of the study would provide insights to the policymakers, regulators and managers to mainstream climate change in their core business activities driving sustainability and profitable outcomes.

This study is a noble attempt to study the moderating role of science-based targets in the carbon emissions and firm performance nexus in an emerging market setting. Earlier studies have been conducted in a cross-country context.

This study aims to determine how the attitudes toward artificial intelligence (AI) of religious tourists affect their AI self-efficacy and their engagement in AI. This study specifically intends to investigate the mediating role of AI self-efficacy in the relationship between attitudes toward AI and the engagement in AI of religious tourists. This study also seeks to identify the role of AI assistant use as a moderator in the relationship between attitudes toward AI and AI self-efficacy.

The data used in this study was gathered from a sample of 282 religious tourists who had just visited Karbala, central Iraq. Purposive sampling, which comprises a focused and systematic approach to data collection, was used after carefully assessing the distinctive characteristics and properties of the research population.

The results showed that attitudes to AI had a noticeable impact on AI self-efficacy, which, in turn, exerted a positive impact on engagement with AI. In addition, the use of AI assistants acted to positively moderate AI self-efficacy in terms of mediating the link between attitudes to AI and AI engagement.

The distinctive focus on religious tourists adds an original perspective to the existing literature, shedding light on how their attitudes towards AI impact not only their self-efficacy but also their engagement in dealing with AI. In addition, this study delves into the moderating role of AI assistant use, introducing a unique factor in understanding the complex interplay between attitudes, self-efficacy, and engagement in the context of religious tourism. The selection of Karbala, central Iraq, as this study site further adds originality, providing insights into a specific religious and cultural context.

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

The purpose of this study is to delve into the complex interplay between earnings management (EM), the International Financial Reporting Standards (IFRS) implementation and the reporting lag (RL) within the specific context of the Gulf Cooperation Council (GCC) region, with a particular emphasis on the Saudi context, offering insights into their influence on financial reporting practices.

Using a panel data set of 135 Saudi companies over an eight-year period, covering four years before and after the mandatory adoption of IFRS in 2017, this study investigates the Saudi financial reporting landscape. It uses interaction moderation analysis to explore variable effects and includes robustness analyses to validate the findings.

The findings reveal three key outcomes. First, they challenge conventional expectations by showing no significant impact of discretionary accruals (DACC) on RL, contrary to established accounting theories. This deviation is attributed to unique market characteristics within the GCC region, including family-owned businesses, government involvement and distinct regulations, with specific insights relevant to Saudi Arabia. Second, an unexpected positive association between IFRS adoption and RL in Saudi Arabia emerged. Several contextual factors contribute, including transition costs, compliance expenses, institutional dynamics and reconciling IFRS with local Shariah principles. Most importantly, IFRS adoption significantly reduced RL, especially for companies with high DACC levels. This highlights IFRS’s transformative role, emphasizes aligning EM with international standards for investor confidence and mitigating nonconformity risks in the GCC region’s business landscape.

The research findings carry significant practical implications for companies operating within the GCC region, accentuating the strategic imperative of timely financial reporting to bolster credibility, align with international standards and fortify investor confidence. Moreover, regulators and policymakers are urged to consider tailoring accounting regulations to accommodate the distinctive GCC context, thereby adeptly addressing the intricacies stemming from the interplay of EM, IFRS adoption and RL dynamics in the region.

This study adds to the current body of literature by highlighting the significant moderating influence of IFRS transition on the nexus between DACC and RL. It underscores the crucial role of this global accounting framework in reshaping financial reporting practices.

This study investigates the impact of corporate governance on FinTech disclosure levels in Jordanian conventional and Islamic banks. It aims to determine whether governance mechanisms affect disclosure practices in the FinTech sector, exploring the interplay between governance and transparency in financial innovations.

The research methodology entails a thorough analysis of data from all 15 Jordanian conventional and Islamic banks listed on the Amman Stock Exchange, covering the period from 2015 to 2022. This study uses manual content analysis using a custom FinTech Disclosure Index (FDI) and quantitative analysis with a two-way clustered error regression model.

The findings show that corporate governance mechanisms, particularly board size, board meetings and “Big4” audit firms, are crucial in enhancing FinTech disclosure across conventional and Islamic banks. However, Islamic banks consistently show higher disclosure levels than their conventional counterparts, attributed to their distinct governance structures that emphasize ethical governance and transparency. These results indicate an awareness among decision-makers about the importance of business model transformation toward FinTech.

This study pioneers the introduction of FDI, using it for a novel comparative analysis of FinTech disclosure levels between Islamic and conventional banks. By exploring how various governance structures influence FinTech disclosure, this research provides fresh insights into the interplay between corporate governance and financial technologies in the banking sector.

Globally, the landscape of corporate carbon disclosures (CCD) is continually evolving as societal, environmental and regulatory expectations change over time. The goal of this study is to examine the challenges faced by Indian firms’ corporate carbon reporting (CCR). The literature recognized the hurdles to reaching net zero emissions and decarbonization, which are equally applicable to carbon disclosure (CD).

The scope 3 emission disclosure barriers (S3EDBs) identified from the literature were ranked, and their relationships were discovered using the “Grey-based decision-making trial and evaluation laboratory” (Grey- DEMATEL) technique.

The key findings are the S3EDBs, the most prominent barriers, their interrelationships and important insights for managers of organizations in prioritizing the action area for scope 3 CD. Eight S3EDBs were categorized in terms of cause and effect, threshold value is calculated as 0.78. “Quality, and reliability of data,” “Government policies and statutory requirement on emission disclosure” and “Traceability and managing supply chain partners” are the most prominent S3EDBs.

The results will help industry people in countries with emerging economies that have significant scope 3 carbon footprints. The managers can plan to deal with top S3EDBs as a step towards decarbonization and ultimately fighting climate change (CC).

This study is one of the first to rank these barriers to CD so that industry practitioners can prioritize their actions. The core contribution of this research is to detect the most significant S3EDBs and their interdependencies.