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The purpose of this paper is to comprehensively review a large and heterogeneous body of academic literature on investors' feedback trading, one of the most popular trading patterns observed historically in financial markets. Specifically, the authors aim to synthesize the diverse theoretical approaches to feedback trading in order to provide a detailed discussion of its various determinants, and to systematically review the empirical literature across various asset classes to gauge whether their feedback trading entails discernible patterns and the determinants that motivate them.

Given the high degree of heterogeneity of both theoretical and empirical approaches, the authors adopt a semi-systematic type of approach to review the feedback trading literature, inspired by the RAMESES protocol for meta-narrative reviews. The final sample consists of 243 papers covering diverse asset classes, investor types and geographies.

The authors find feedback trading to be very widely observed over time and across markets internationally. Institutional investors engage in feedback trading in a herd-like manner, and most noticeably in small domestic stocks and emerging markets. Regulatory changes and financial crises affect the intensity of their feedback trades. Retail investors are mostly contrarian and underperform their institutional counterparts, while the latter's trades can be often motivated by market sentiment.

The authors provide a detailed overview of various possible theoretical determinants, both behavioural and non-behavioural, of feedback trading, as well as a comprehensive overview and synthesis of the empirical literature. The authors also propose a series of possible directions for future research.

Innovation in fintech presents great opportunities and huge challenges for accounting practices around the world. This paper aims to examine the impact of Fintech on accounting practices including financial reporting, performance management, budgeting, auditing, risk and fraud management. Fintech is proxied by the adoption of AI and big data analysis in accounting practices.

We chose African countries as our focus countries and surveyed chartered and qualified accountants in both Ghana and Nigeria. With 201 questionnaires qualified for our final analyses, we adopted the structural equation modelling to analyse the impact of Fintech on accounting practices.

The empirical results show that the impact of AI and big data on accounting practices is positive and significant, indicating that fintech could potentially mitigate the agency problem in accounting practices and lead to better accounting practices. Interestingly, we find that, in general, the impact of AI is larger than that of big data.

Our results provide significant insights to regulators, policymakers and managers about the future development of adopting fintech in the regulation and governance framework at both macro and micro levels for accounting practice.

This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.

A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.

The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.

The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.

This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.

This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

This chapter presents both main arguments of dividend policy theories and their empirical evidence. According to Miller and Modigliani (1961), dividend decisions are not relevant to firm value in a perfect capital market. Nevertheless, there are several market frictions in the real world (e.g., information asymmetry, agency problems, transaction costs, firm maturity, catering incentives and taxes). Therefore, academics use them to develop theories which help them explain corporate dividend decisions. Particularly, signaling theory considers dividend payments as a signal about firms' future prospects since outside investors face information disadvantage. “Bird-in-hand” theory argues that investors prefer dividends to capital gains since the former have lower risk than the latter. Agency theory is developed from the conflict of interest between corporate managers and shareholders. Corporate managers have high incentives to restrict dividend payments. Furthermore, transaction cost theory and pecking order theory posit that firms prefer internal to external funds. This drives firms to hold more cash and pay less dividends. Life cycle theory explains dividend policy by firm maturity. Mature firms have fewer investment opportunities, and thus, they tend to pay more dividends. Catering theory states that dividend decisions are based on investors' demand. Firms pay more dividends since investors prefer dividends and assign higher value to dividend payers. Tax clientele theory argues that firms that have corporate dividend policy rely on the comparative income tax rates for dividends and capital gains. Under the tax discriminations against dividends, firms tend to restrict their dividends in order to increase their stock prices.

Organizational wrongdoing researchers often look to past cases to empirically develop and support theoretical understanding. Their research is therefore conducted at a temporal distance to focal events and frequently relies on retrospective accounts and surviving documentary evidence. These methodological circumstances define historical research practice, and we demonstrate in this paper the valuable insights that historical approaches can provide organizational wrongdoing research. Specifically, we draw on a range of practices from history and the social sciences to introduce four historically informed approaches: narrative history, analytically structured history, historical process study, short-term process study. We differentiate these based on their particular affordances and treatment of two key methodological considerations: historical evidence and temporality. We demonstrate the specific value these approaches represent to organizational wrongdoing research with several exemplars showing how they have been used in related fields of research.

This paper aims to examine the impact of corruption on firm performance considering the interventional role of cash policy in the emerging market of Greece.

The current study utilizes a sample of 142,079 firm-year observations for the period 2006–2014. Descriptive statistics, multiple regression analyses and robustness checks are used to test the study's hypotheses.

The results reveal that firm performance is positively related to the control of institutional corruption, implying that firms perform better when operating in a low-corruption environment. All other things being equal, we also find that firm cash holding strengthens the positive association between control of corruption and corporate financial performance.

This research paper takes a more holistic approach by considering institutional factors in conjunction with corporate financial policies and outcomes. In a pervasive corrupt environment, the article illustrates how firm-level mechanisms can preclude political rent-seeking to improve corporate performance. The study's main limitation is that it focuses exclusively on a single country setting, based on the extreme-critical case's logic.

The findings might be useful for business executives and regulators seeking a better understanding of the planning and implementation of firms' asset allocation strategies and anti-corruption policies.

The study augments the relevant literature on the firm-level implications of corruption by providing empirical evidence for the interventional role of cash management in the relation between corruption and firm performance, in the context of an emerging economy.

This study investigates the effects of elements of corporate governance along with firm specific variables on the financial leverage of listed Indian firms in the context of agency conflicts and new governance laws.

A series of panel ordinary least squares as well as fixed/random effects regression models of book and market value of financial leverage on variables of corporate governance (board size, board composition, board meeting, board attendance and board gender) along with a set of control variables (asset tangibility, firm size, growth, liquidity and profitability) were estimated by employing 113 listed Indian firms during 2010–2021. Dynamic panel generalized method of moments models were also estimated to check the robustness of empirical results. Further, the full sample of firms was divided into small and large board sized companies using the median approach to investigate differences between small and large board characteristics on financial leverage.

The evidence predominantly suggested that the governance variables have significant impact on leverage ratios of selected firms. Governance variables such as board size, composition, attendance and gender are significantly found to be reducing the financial leverage of firms indicating that in general these attributes in a way, through monitoring managers, put pressure on them to pursue lower financial leverage. Board meeting is found to be positive and significantly related with financial leverage suggesting that the frequency of meetings signals its monitoring ability that may influence lenders' risk assessment lowering borrowing cost. The results on small and large board sized companies indicate that firms with small boards relatively issue more debt compared to firms with large boards suggesting that small boards adopt high debt policy.

The main policy implication of the study is that elements of internal corporate governance is a significant governance tool that has the potential to reduce agency conflict between the managers and agents through monitoring and decision making that has tangible effects on critical corporate decisions such as capital structure choices.

This paper contributes to the existing literature by bringing new evidence relating to agency conflicts and capital structure decisions in an emerging market like India post adoption of new regulations related to corporate governance specified in Clause 49 of Securities and Exchange Board of India and Companies Act, 2013 as there is significant dearth of such empirical work.

Education is a key institution of modern society, long recognized for its central role in the reproduction of inequities and with the potential to challenge them. Schools behave as their systems are designed. Achieving equity and excellence is not possible through attempts to fix “the school” or educators. Principles of systemic design that incorporate equity and excellence are needed to increase the likelihood of desirable outcomes.

Using the social contract as a design principle, this paper systematically builds an empirical model of school provision aimed at equitable excellence.

Equitable excellence in school provision is possible if choice is available across geolocation and socio-educational (dis)advantage, schools have autonomy over fiscal, personnel and curricular matters, public accountability is linked to academic outcomes and social impact, all moderated by the quality of teaching.

Data-driven empirical modelling is particularly attractive to policy makers, systemic authorities and researchers when theory (of all varieties) does not yield the necessary insights to support the functionality and effectiveness of systems to deliver equitable outcomes at scale. Empirical examples can be used to test the explanatory power of the novel model – and refine it when necessary.

The empirical model and threshold question are the genesis of a common language for assessing relevant costs and benefits of initiatives for government and system designers. Significantly, establishing a threshold question and tests of legitimacy and strength to accompany the novel model provides a more principled way of prioritizing the competing demands on public investment in education.

Establishing a threshold question and tests for legitimacy and strength to accompany the novel model provides a more principled way of prioritizing the competing demands to accompany.

Sustainability is essential to the ongoing operations of banks, though it is much less clear how Islamic corporate governance (ICG) promotes economic sustainability (ES) and thereby prevents bankruptcy. To explore the unexplored, this study aims to examine the efficacy of ICG in preventing bankruptcy and enhancing the ES of Islamic banks operating in Pakistan.

The current study measures ES through Altman's Z-score to analyze the level of the industry's stability and consequently examines the effect of ICG on the ES of Islamic banks in Pakistan for the post-financial-crises period. Using the country-level data, this study utilized a fixed-effect model and two-stage least squares (2SLS) techniques on balanced panel data spanning from 2009 to 2020 to provide empirical evidence.

The empirical results unveiled that board size and meetings have a significant positive influence on the ES while managerial ownership demonstrated an unfavorable effect on ES. Interestingly, the insignificant effect of women directors became significant with the inclusion of controlled variables. Overall, the findings indicate that ICG is an efficient tool for promoting ES in Islamic banks and preventing them from the negative effects of emerging crises.

The findings provide concrete insights for policymakers, regulators and other concerned stakeholders to execute a sturdy corporate governance system that not only oversees the economic, social and ethical aspects but also provides measures to alleviate the impacts of potential risks like the COVID-19 pandemic.

Examining the role of ICG in alleviating bankruptcy risk is an informative and useful endeavor for all social actors.

To the best of the authors’ knowledge, this study is one of the first efforts to provide evidence-based insights on the role of ICG in preventing bankruptcy and offers a potential research direction for ES.

Despite the existing conceptual analysis on the impact of trade unions on employees' welfare and the wider economy, the mediating effect of political party orientation (i.e., right, centre and left) on income inequality remains under researched. In this paper, the authors empirically explore the relationship between the nature of political party orientation, trade unions and income inequality.

The authors use three different measures of income inequality and dummy variables that capture government party orientation with respect to economic policy for a panel of 17 OECD economies over the period 2000–2016. The authors employ a panel fixed effects approach and the Driscoll and Kraay's (1998) nonparametric covariance matrix estimator.

The empirical evidence indicates that strong unions and, to some extent, left party governance, are fundamental institutional elements to combat rising levels of income inequality whilst countries dominated by right-wing political parties appear to exacerbate income inequality. The results pertaining to the impact of centrist parties on income inequality are ambiguous suggesting that a potential fragmentation may exist in their political approach.

The evidence generated can have significant policy ramifications in alleviating rising levels of income inequality as well in relation to the declining unionization rates observed across advanced economies.