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The study aims at examining the relationship between the forms of misclassification practices, namely expense shifting and revenue shifting. In particular, the study aims at identifying the form of shifting that has been preferred by firms to meet the industry average profitability.

Core earnings and operating revenue expectation models are used to measure expense shifting and revenue shifting, respectively. The panel fixed-effects models are used to control for unobserved heterogeneity across industries and time.

Based on a sample of Bombay Stock Exchange-listed firms, the author finds that firms prefer expense shifting over revenue shifting to meet industry average profitability, implying that firms choose the shifting tool based on the relative advantage. Further, the findings deduced from the empirical results demonstrate that firm life cycle and mandatory adoption of International Financial Reporting Standards (IFRS) moderates the relationship between shifting forms and industry average profitability. However, the negative impact of IFRS on shifting practices is found to be less pronounced among BigN audit firms.

The study is among the pioneering attempt to document the substitution relationship between shifting forms. It is the first study that examines a form of classification shifting, where gross profit and core earnings both change as an effect of misclassification.

The study aims to investigates which form of classification shifting is preferred by firms to avoid the violation of debt covenants and whether the higher-audit quality constraints the shifting practices of firms incentivized to avoid covenant violations or not.

A sample of 1,644 Bombay Stock Exchange (BSE)-listed firms during the period 2009–2021 has been used in this study and tested through panel data regression models. Two forms of classification shifting, namely expense shifting and revenue shifting have been taken into account. The findings are validated through the propensity-score matching technique.

The findings deduced from the empirical evidence demonstrate that firms prefer revenue shifting over expense shifting to avoid covenant violations, consistent with the notion of the ease-need-advantage-based shifting framework, where firms are found to prefer a shifting tool with greater relative advantage. Further, the author finds that superior audit quality has a constraining effect on expense shifting, but not on revenue shifting, indicating the partial effectiveness of high-quality auditors in curbing the corporate misfeasance of classification shifting. These results are robust to the problem of endogeneity and self-selection bias.

The paper provides new evidence on debt market incentives behind classification shifting, where firms are found to substitute classification shifting forms to avoid covenant violations. Further, the study is among pioneering attempts to investigate the impact of audit quality on revenue shifting and document the non-constraining effect.

This paper undertakes an extensive and systematic review of the literature on earnings management (EM) over the past three decades (1992–2022). Furthermore, the study identifies emerging research themes and proposes future avenues for further investigation in the realm of EM.

For this study, a comprehensive collection of 2,775 articles on EM published between 1992 and 2022 was extracted from the Scopus database. The author employed various tools, including Microsoft Excel, R studio, Gephi and visualization of similarities viewer, to conduct bibliometric, content, thematic and cluster analyses. Additionally, the study examined the literature across three distinct periods: prior to the enactment of the Sarbanes-Oxley Act (1992–2001), subsequent to the implementation of the Sarbanes-Oxley Act (2002–2012), and after the adoption of International Financial Reporting Standards (2013–2022) to draw more inferences and insights on EM research.

The study identifies three major themes, namely the operationalization of EM constructs, the trade-off between EM tools (accrual EM, real EM and classification shifting) and the role of corporate governance in mitigating EM in emerging markets. Existing literature in these areas presents mixed and inconclusive findings, suggesting the need for further theoretical development. Further, the study findings observe a shift in research focus over time: initially, understanding manipulation techniques, then evaluating regulatory measures, and more recently, investigating the impact of global accounting standards. Several emerging research themes (technology advancements, cross-cultural and cross-national studies, sustainability, behavioral aspects and non-financial indicators of EM) have been identified. This study subsequent analysis reveals an evolving EM landscape, with researchers from disciplines like data science, computer science and engineering applying their analytical expertise to detect EM anomalies. Furthermore, this study offers significant insights into sophisticated EM techniques such as neural networks, machine learning techniques and hidden Markov models, among others, as well as relevant theories including dynamic capabilities theory, learning curve theory, psychological contract theory and normative institutional theory. These techniques and theories demonstrate the need for further advancement in the field of EM. Lastly, the findings shed light on prominent EM journals, authors and countries.

This study conducts quantitative bibliometric and thematic analyses of the existing literature on EM while identifying areas that require further development to advance EM research.

To report inflated operating performance indicators, such as operating revenue and operating profit, managers vertically reposition revenue and expense items inside the income statement. This study aims to investigate the relationship between credit market incentives and these practices.

This study examined a sample of 1,592 Bombay Stock Exchange-listed companies from 2009 to 2021 and tested them using panel data regression models. The propensity score matching method and different measurements of classification shifting practices are used to validate the results.

The conclusions drawn from the empirical data show that firms prefer revenue shifting over expense shifting to prevent debt covenant violations. It shows that the firm’s classification-shifting practices are driven by credit market incentives. This finding is consistent with the notion of positive accounting theory that firms engage in classification shifting (earnings management) to avoid violation of debt covenants. Further, the firm’s preference for revenue shifting is in line with the ease-need-advantage-based shifting framework where firms choose the shifting tool based on costs and constraints associated with each tool.

The finding suggests that if managers heavily rely on revenue shifting to avoid debt covenant violations, the firm may end up breaking these covenants based on its actual operating performance. Managers may use aggressive accounting techniques to prevent covenant violations, which can be a warning indicator of financial difficulties or operational problems. It highlights the necessity for creditors and investors to carefully evaluate a company’s financial stability outside of the financial statements that are publicly disclosed. Authorities should create separate forensic accounting standards for auditors to check revenue items and stop the corporate misfeasance of revenue shifting.

The study is among the earlier attempts to provide empirical evidence on credit market incentives behind classification shifting practices. It is the first study that documents the substitution relationship between classification shifting forms for avoiding violation of debt covenants.

The study examines the impact of a recent mandate (Section 149 of the Indian Companies Act, 2013, where firms of a certain size are mandated to appoint at least one woman director on the board) on the earnings quality of firms. The study also examines the role of financial expertise and the presence of a woman director in the audit committee on the association between mandate and earnings quality.

Taking leverage of a quasi-natural experiment in India, the authors employ the ‘Difference-in-Difference’ (DiD) technique. DiD enables the author to filter out the impact of concurrent exogenous shocks while examining the issue. The propensity score matching and entropy balancing techniques have been employed to overcome the problem of endogeneity and self-selection bias.

Based on the sample of 538 Bombay Stock Exchange (BSE) listed firms, the author finds that magnitude of discretionary accruals has decreased among test firms (firms mandated to comply with Section 149) relative to benchmark marks (firms not mandated to comply with Section 149) during the post-legislation period, indicating the improved earning quality after the mandate. This finding is consistent with the notion of social role theory that women are less likely to be engaged in risky activities such as earnings management. Further, the author find that the financial expertise of the woman and presence of the woman on the audit committee strengthen the positive impact of the mandate on earnings quality. These results are robust to alternative measurements of discretionary accruals.

The study is among the pioneering attempts to make use of a quasi-natural experiment and investigate the impact of a woman director on earnings quality. The study is also one of the few studies to focus on a developing country like India having a culture dominated by men.

This study aims at investigating banks’ compliance with the disclosure requirements of Basel III in two emerging market economies, namely, the United Arab Emirates (UAE) and India. This study also examines the impact of economic factors on the extent of disclosures.

The authors compare the Basel disclosure practices between UAE and Indian listed banks and have used panel data regression models to investigate the compliance and level of reporting based on three market variables, namely, size, leverage and profitability of listed banks.

After examining Basel reporting for each of three categories of independent factors, size was found to be the predominant factor influencing the Basel disclosures, followed by profitability and degree of financial leverage. It is prudent for all the banks irrespective of size to capitalize on themselves with an intent to tide over the frequent economic crises and prevent every economic crisis from becoming a full-blown financial crisis.

The findings suggest that there is an urgent need for a high level of concerted action in the context of listed banks in the selected emerging market nations to direct more resources to ensure full compliance with Basel III. The findings inform practitioners in emerging countries of compliance and plan expanded future applications. Investors should consider the BASEL compliance level of Banks before parking their funds in the bank’s stocks. The banks having a higher degree of compliance are expected to be safer than their counterparts having lower Basel compliance.

Many previous studies have examined the implementation of Basel III in general. This study is specific in assessing the compliance with disclosure requirements as prescribed by Pillar III of the Basel norms. To the best of the authors’ knowledge, this is the first research to compare market discipline in emerging markets. Existing studies have either assessed the level of compliance in one individual or similar types of markets. However, this study made a pioneering attempt to compare two different countries in the same category (emerging markets).

This study aims to examine the value relevance of earnings in terms of predicting the value variables such as cash flow, capital investment (CI), dividend and stock return under the Indian institutional settings.

The study used panel Granger causality tests to examine causality relationships among variables and panel data regression models to check the statistical associations between earnings and value variables.

Based on a data set of 7,280 Bombay Stock Exchange-listed firm-years spanning over ten years from March 2009 to March 2018, the results show higher sensitivity of earnings toward cash flows, CI, divided and stock return and vice-versa. Further, the findings deduced from the empirical results demonstrate that earnings are positively related to value variables. Overall, the results established that earnings are value-relevant and have predictive ability to forecast the value variables that facilitate investors in portfolio valuation. The results are consistent with the predictive view of the value relevance of earnings. Several robustness checks confirm these results.

This study brings new empirical evidence from a distinct capital market, India, and provides a new facet to the value relevance debate in terms of its prediction view. The study is among earlier attempts that jointly measure the ability of earnings in forecasting different value variables by taking a uniform sample of firms at the same period. Hence, the study provides a comprehensive view of the predictive ability of reported earnings.

The current study aims at examining the impact of upward and downward earnings management on the cross-sections of stock return. The study also examines the moderating role of cross-sectional effects on the association between earnings management and stock returns.

The study employed univariate and bivariate-sorted portfolio-level analysis to investigate the issue. Fama–Macbeth cross-sectional regression is used to analyze the moderating role of different cross-sectional effects. The study used a sample of 3085 Bombay Stock Exchange (BSE) listed stocks spanning over 20 years from January 2000 to December 2019.

The findings suggest that investors have different perceptions toward different forms of earnings management. In other words, results exhibit that investors perceive downward earnings management as an element of risk; hence, they discount the returns at a higher rate. On the contrary, results show that upward earnings management is positively perceived by the investors; hence, they hold the stocks even at a lower rate of return. This relation is found to be consistent even after controlling the impact of marker effect, size effect, value effect and momentum effect.

This study is among pioneering studies that consider the direction of earnings management while examining its impact on the stock return. This study is also among the earlier attempts to examine the moderating role of four different cross-sectional effects by taking a uniform sample of stocks over the same period.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.