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Investors who can transfer their savings to investments in a well-regulated market benefit not only themselves but also economic development. Hence, it is crucial for fund owners to evaluate their stock market investment decisions. The goal of the study is to understand which model determines the asset returns most efficiently. In this regard, the validity of single and multi-index asset pricing models (capital asset pricing model-CAPM and Fama–French models) has been examined in the Turkish Stock Exchange for 2009–2020, with the quantile regression (QR) approach.

On 18 portfolios comprised of quoted stocks in the Istanbul Stock Exchange 100 (ISE-100/BIST-100), we test the CAPM, the Fama and French three factor model (FF3) and the Fama and French five factor model (FF5). Empirical analyses have been carried out via QR approach regressing the portfolios' average weekly excess returns on risk premium/market factor (Rm-Rf), firm size, book value/market value (B/M), profitability and investments factors. QR estimation has been employed since QR is more effective and provides a better definition of the distribution’s tails.

Our empirical findings have revealed that the average excess weekly returns can be explained more strongly via CAPM. Moreover, Fama and French models are expected to give more reliable result with more data, whereas the market premium would give robust results for the Turkish Capital Market.

Individuals investing in financial assets must find the price model that best fits the market. The return can be approximated in the most appropriate manner using the right variables.

The study differs from other research by comparing the asset pricing models via examining the assets' weekly returns with QR in the Istanbul Stock Exchange 100 (ISE-100).

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.

This study analyzes the effect of content marketing on women's happiness through eudaimonia and hedonism factors and the final result on desires and actions taken.

A total of 227 valid questionnaires were collected from women respondents. The data analysis used partial least squares structural equation modeling (PLS-SEM) to clarify the relationships in the proposed model.

Content marketing turns out to be a crucial factor affecting both eudaimonia and hedonism. Moreover, while eudaimonia plays a particular role in women's behavior, hedonism works likewise on desires.

A crucial decision before developing content marketing is to consider if the final result is to produce desirability or feasibility in consumers. Content marketing addressing eudaimonia will impact feasibility; while the content aims to create desirability, the hedonic aspect of happiness should be emphasized.

Though content marketing and the effect of content marketing on brands' performance and consumer decision processes has been deeply analyzed in the literature, there is a lack of research into the effect of such content on consumers' well-being. Another contribution of this study is the focus on local brands and on women's eudaimonia and hedonism.

Artificial Intelligence (AI) is one of the newest technology that is quickly advancing and can be utilised to improve human resource competence in the age of rapid digital transformation. The present competitive scenario demands accurate data that need to be collected and analysed for organisational growth.

Purpose: The research examines the applications and usage of AI in performance management and further analyses the future of PM from the perspectives of AI.

Methodology: The study is conceptual and relies on secondary data from research papers, publications, HR blogs, survey reports and other sources. Employee performance and attitudes were monitored using digital technologies, big data analytics and AI. The quality of employee performance continues to increase with the integration of AI, enabling predictive analytics to increase employee performance.

Research Implication: In employee performance appraisal, a digital performance management system leads to openness and honesty with time, effort and sincerity. It is based on the performance management system’s practical usefulness.

Theoretical Implication: The study’s findings provide HR managers, academics, IT professionals and practitioners with an understanding of how AI may be used for performance management and its consequences on their operations. In addition, the connection between the HR devolution theory on performance management and AI is discussed.

This study explores what impact high-performance work practices (HPWP) – from the ability-motivation-opportunity (AMO) framework – might have on financial performance among family firms and examines the mediating role played by family-centered goals (FCGs).

The empirical approach is based on data collected from a sample of 339 Spanish small and medium-sized family enterprises operating in the industry and service sectors. To test the hypotheses, this paper applies a path analysis modeling tool to estimate both indirect and direct effects in mediator models.

The results indicate that the AMO framework has a significant impact on financial performance through the lens of FCGs. In addition, family businesses' keen concern to preserve family wealth influences the effectiveness of HPWPs, making firms more socioemotionally oriented at the expense of economic impact.

This paper underscores the importance of integrating family aspirations into strategic human resource management (HRM) design, emphasizing the significance of socioemotional wealth (SEW) preservation.

The findings offer practical insights for family managers, family owners and human resource (HR) practitioners, suggesting the need to align HR practices with family goals and to strategically balance socioemotional and financial wealth considerations. Family owners in key management positions must skillfully manage HR strategies in order to harmonize family and firm goals.

By examining the mediating effect of FCGs, this paper advances and extends SEW theory in the context of HRM by considering the relationships between HR practices and firm performance as a mixed gamble approach.

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous research suggests those at higher risk for experiencing the detrimental effects of climate change have higher climate-related concerns. Additionally, research demonstrates variation in trust in institutions and perceptions of environmental justice along racial lines, which can influence concern for access to resources. Informed by this research, the authors ask two questions: how do Oklahomans’ trust in institutions, environmental justice perceptions and global climate change risk perceptions differ based on race, and how do these factors influence concern for water and electrical infrastructure? The purpose of this study is to better understand Oklahomans’ trust in information from institutions, environmental justice perceptions, global climate change risk perceptions and concern for water and electrical infrastructure.

This study uses a series of nested regression models to analyze the survey responses of 2,687 Oklahoman adults. The data were pulled from Wave 3 of the Oklahoma Meso-scale Integrated Socio-geographic Network survey, which is part of the National Science Foundation EPSCoR S3OK project.

The findings demonstrate the complex interplay of riskscapes – or risk landscapes – that encompass institutional trust, perceptions of environmental justice, climate change and infrastructure in Oklahoma. The authors find evidence that education and income are better predictors of institutional trust and environmental justice than race among our respondents. Political ideology emerges as a significant predictor across all hypotheses.

This study contributes to the understanding of complex dynamics involving race, perceptions of environmental justice, trust in information from institutions, risk perceptions of climate change and concerns for water and electrical infrastructure in Oklahoma.

This paper aims to investigate how the extant literature on sustainable supply chain management (SSCM) empirically explores the perspective of emerging economy suppliers operating in global supply chains (GSCs). It thereby explains the role of emerging economy suppliers in determining the success of SSCM.

A systematic literature review of 41 empirical papers (published between 2007 and 2021) was conducted, involving both descriptive and thematic analyses.

The findings demonstrate that emerging economy suppliers have a key role in SSCM, given their use of positive feedback loops to proactively create remedies to surpass barriers using their collaboration mechanisms, and exploit authentic sustainability outcomes as reinforcements to drive further sustainability initiatives. The authors also demonstrate that suppliers are particularly focused on the cultural and institutional dimensions of sustainability. Finally, the authors provide an explanatory analytical framework to reduce the institutional distance between buyers and their global suppliers.

This review identifies avenues for future research on the role of emerging economy suppliers in SSCM.

Recognising remedies to surpass barriers and reinforcements to drive new actions can aid SSCM in GSCs and improve understanding between buyers and suppliers.

The valorisation of cultural and institutional issues can lead to more responsible supplier interactions and improved sustainability outcomes in emerging economies.

This review only analyses the viewpoint of emerging economy suppliers, whereas prior SSCM reviews have focused on the buyer perspective. Thus, the authors reduce supplier invisibility and institutional distance between GSC participants.

Although the literature on corporate governance and firm innovation finds that board independence is important, this paper proposes that the presence of independent directors alone is not enough to explain their impact on firm innovation. This study analyses if diversity among independent directors may affect the relationship between board independence and firm innovation.

A panel data on a sample of 124 Spanish listed companies for the period 2008–2019 used to test the hypotheses.

Results suggest that independent directors have a negative effect on firm innovation, measured as number of patents, but when there are high levels of gender and nationality diversity among such directors, this negative effect may be mitigated.

Considering that firm innovation is a complex process associated with decision-making and that board independence itself may be not enough, this study goes a step further and delves deeper into the characteristics of independent directors. As far as is known, this paper is the first theoretical and empirical study that considers that independent director diversity as a moderating variable between board independence and firm innovation. Besides, this research contributes to the debate on the role of independent directors in firm innovation and the results may also serve as a guideline for policy makers and firms for structuring boards that are pro-innovation.

Personal remittance and ready-made garments (RMG) export incomes have emerged as the largest source of foreign income for Bangladesh's economy. The study investigates their impact on income inequality and gross domestic product (GDP) as a control variable, using time-series yearly data from 1983 to 2018.

It employs the Autoregressive Distributed Lag (ARDL) estimation and the Toda-Yamamoto (T-Y) causality approach. The ARDL estimation outcomes confirm a long-run association among the above variables and validate the autoregressive characteristic of the model.

Personal remittances positively contribute to reducing the income gap among the people of the society and declining income inequality. In contrast, RMG export income and economic growth contribute to further income inequality. The T-Y causality analysis follows the ARDL estimation outcomes and authenticates their robustness. It reveals a feedback relationship between remittance inflow and the Gini coefficient, unidirectional causalities from RMG export income to income inequality and economic growth to income inequality.

The finding has important policy implications to limit the income gaps between low and high-income groups by channeling incremental income to the lower-income group people. The policymakers may facilitate further international migration to attract further remittances and may upgrade the minimum wage of the RMG workers.

The study is original. As far as the authors' knowledge goes, this is a maiden attempt to investigate the impact of personal remittances and RMG export income on income disparity in the case of Bangladesh.