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The aim of this paper is to empirically investigate whether social contacts can mediate the way in which current unemployment impacts future unemployment.

We use 2006–2017 data from the Household Income and Labour Dynamics in Australia (HILDA) survey and a dynamic random-effects model to describe the evolution of individual unemployment status over time.

Once controlled for the local context where individuals live and create friendships, we find that above-average social contacts reduce unemployment persistence. However, social contacts seem to be slightly less effective in deprived neighborhoods. These findings are consistent with the idea that individuals obtain information about job opportunities through a network of social contacts, and unemployment may lead to a decay of social capital, making it more difficult to find employment in future periods. Our results also show that neighborhood deprivation increases individual unemployment risk, while above-average neighborhood cohesion reduces the probability of unemployment in deprived neighborhoods.

Although many studies have been published on unemployment persistence, to the best of the author's knowledge, this is the first study quantifying the impact of social contacts on unemployment persistence. The study also offers fresh empirical evidence on the impact of neighborhood characteristics on unemployment risk.

This study aims to investigate the institutional, macroeconomic and firm-specific determinants of financial leverage in Vietnam and provides new evidence from the dynamic panel fractional estimator.

This study uses a panel dataset of 859 Vietnamese firms from 2008 to 2022 and employs three estimators: Feasible Generalized Least Squares (FGLS), System Generalized Method of Moments (SysGMM) and Dynamic Panel Fractional (DPF), with DPF being particularly suitable for handling fractional dependent variables and the dynamic nature of financial leverage.

The results confirm the dynamic nature of the financial leverage model, with firm-specific factors, institutional factors and macroeconomic factors playing significant roles in shaping firms' financing decisions. The DPF estimator highlights the positive impact of stock market development on leverage. This study contributes to the literature by providing new evidence on the determinants of leverage in Vietnam, using the DPF estimator for more accurate estimation and revealing the significant impact of the size of the banking sector, the size of the stock market, the stock market development index, the financial development index and the corruption perception index on leverage.

This study contributes to the literature by providing new evidence on the dynamic nature of the financial leverage model and the impact of institutional, macroeconomic and firm-specific factors on financial leverage in the context of Vietnam. The use of the DPF estimator allows for a more accurate and reliable estimation of the determinants of leverage, considering the fractional nature of the dependent variable and the persistence of capital structure decisions over time.

The surge in internet usage has generated widespread speculation and optimism regarding its potential impact on the accessibility to financial services. The aim of this study is to investigate the effect of internet penetration on the accessibility of banking services in developed and developing countries.

Panel data regression methods are used to estimate the impact of internet penetration on accessibility to banking services in a sample of 74 countries from Global Findex survey waves of 2011, 2014, 2017 and 2021. To mitigate potential issues related to heteroscedasticity, autocorrelation and cross-sectional dependence, the study has implemented cluster robust standard errors testing. Furthermore, as a sensitivity check, the sample has been segregated into developed and developing country groups.

The study finds a significant positive correlation between internet penetration and banking access in full sample. Subsample analysis reveals that this relationship is statistically significant in developed countries, but not in developing ones, despite being positive. The research discusses the implications of these findings for both country groups.

Research to date has largely investigated the link between information and communication technology (ICT) and financial inclusion, often treating internet penetration as one component of ICT, which obscures its individual influence. This study, however, isolates internet penetration to specifically analyze its distinct effects on banking accessibility across developed and developing countries.

Despite India achieving many milestones under MGNREGA, the external and internal shocks result in below potential outcomes in employment demand and generation. This study examines how these shocks matter and how the migration-prone regions perform.

This study, employing district-level data from 2018 to 2021, investigates how climate change and COVID-19 have affected the employment demand and supply. We applied RE-GLS and IV-2SLS regressions to examine the effects of shocks on employment demand and generation, respectively. The difference in difference panel model is employed to test the spatial effects of the pandemic. Further, we used RE-GLS and extended regression model to examine how external shocks interacting with migration affect unemployment rates.

It was found that the pandemic increased employment demand and generation. This reflects the adverse effects of the pandemic and the swift action by the government. However, the responses were possibly different during climate shocks. The wage differential increased employment demand. However, demand decreased due to poor support from the support staff. The employment generation was higher in migration-prone districts, indicating that seasonal migration, being a lean-season phenomenon, continues to occur despite employment generation.

This study contributes to the literature in several ways. It captures spatial variations while examining the impact of climate change and COVID-19. It investigates the performance of MGNREGA in migration-prone areas. In effect, the findings provide policymakers with greater insight into the issues.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0132.

This research seeks to unveil an integrative perspective on talent management (TM) in small and medium-sized enterprises (SMEs), particularly through a multilevel approach and within the French context. Drawing on dynamic capability theory and focusing on French SMEs as a rich domain for multilevel studies, the research aims to elucidate how these enterprises operationalize TM while addressing and integrating their distinct capabilities and requirements, internal dynamics and challenges.

Through an integrative study based on a qualitative approach, we collect data from 15 French SMEs. In total, 20 semi-structured interviews with individuals from different levels, managing and working in SMEs, were conducted and analyzed thematically to identify patterns across all SMEs. Companies and interviewees represented a variety of sectors such as telecommunication, high-tech, circular economy, etc.

We present an integrative multilevel approach through TM in French SMEs, describing how SMEs operationalize TM. Across three main levels (organizational, collective and individual) and key SMEs’ capabilities, our results underscore the significance of top management commitment capabilities and SMEs' assessment capabilities, the involvement of line managers in facilitating strategic agility and cultivating the talent ecosystem and the outcomes of TM in driving SMEs' reconfiguration, extending beyond mere TM-level integrations and articulations. We address these findings for foreign SMEs intending to enter the French context and SMEs’ actors on the importance of contextual issues and level articulations while calling for future research focusing on group-level and managers’ roles in TM.

This article moves the TM research towards an integrative multilevel view in SMEs as a fertile ground for studying multilevel TM. As part of recent studies on TM in French SMEs within the broader European competitive context, it expands the integrative approach in SMEs by accommodating the unique requirements, the multilevel dynamics and the challenges that they encounter with TM, especially when compared to multinational enterprises (MNEs).

This study is based on the heuristic-systematic model (HSM) to dynamically examine the effect of review variance on sales and the boundary conditions that mitigate this effect.

Based on the theoretical domain of HSM, a conceptual model is proposed that analyzes the nonlinear relationship between review variance and sales and the interaction and motivation factors that moderate these relationships. Review data from websites targeting the film industry in the USA and South Korea (Korea) were collected to empirically analyze the authors' hypothesis, and panel regression analysis was used for confirmation.

Moderated by interactive and motivational factors, review variance exhibits an inverse-U-shaped relationship with review variance. Specifically, as an interaction factor, review valence and owned social media (OSM) resulted in positive interaction effects, and as a motivation factor, the number of alternatives exhibited a positive interaction effect with review variance. The effect of review variance was less pronounced in the USA than in Korea.

The study outcomes reveal a nonlinear relationship between review variance and sales, thus supporting the contradictory findings of previous studies. This study contributes to the literature by using the HSM as a theoretical framework to verify various HSM mechanisms using online review data. This exploratory study also contributes to the international marketing literature by showing that the effects of review variance vary across cultures.

The study aims to explore the moderation effect of renewable energy consumption (REC) on the relationship between foreign direct investment (FDI) inflows and carbon emission (CO₂). Furthermore, the study investigates the prevalence of rebound effect in energy efficiency for the top five FDI inbound destinations in the Asia-Pacific region.

The study uses a balanced panel data set spanning from 1995 to 2020 obtained from the World Bank Database. This paper used feasible generalized least squares (FGLS) as the primary method, and to ensure the robustness of the findings, this paper used the panels corrected standard errors (PCSE) model.

The findings reveal a negative relationship between FDI and CO₂ emissions and REC and CO₂ emissions. However, the moderation effect of REC on the relationship between FDI inflows and CO₂ emissions is positive, suggesting that when both FDI and REC increase simultaneously, carbon emissions also increase. This study attributes the observed positive moderation effect to the phenomenon known as the rebound effect.

FDI fosters environmental sustainability. Regions’ FDI policies can be guidelines for other nations aiming for similar outcomes. REC reduces CO₂ emissions, underlining renewable energy’s efficacy. However, positive moderation effect of REC on the relationship between FDI and CO₂ emissions highlights the necessity for balanced policies to prevent unintended consequences like the rebound effect.

The originality of this study lies in examining the prevalence of rebound effect in energy efficiency. Prior empirical studies have explored the relationship between REC and carbon emission and established that increased efficiency in renewable energy creates positive environmental and climate externalities. However, it is constrained by rebound effects and this has been ignored by previous studies.

Narrative disclosures offer further elucidation of a company's financial performance beyond what is presented in numerical format. This can assist stakeholders in gaining a deeper comprehension of the elements that impact reported earnings, thereby improving the quality of financial information. The current research explores the impact of narrative disclosure on the earnings quality of firms listed on the Amman Stock Exchange (ASE).

Appropriating an index to measure the narrative disclosure level in the research sample firms, the research utilizes an analysis of the textual content of nonfinancial reports and statements issued by the management of the ASE-listed nonfinancial firms between 2013 and 2022. The financial statements issued in the annual financial reports are also adopted to extract data on earnings quality and the controlling variables. The analysis of the data and attainment of the findings necessitate using the panel data.

It is indicated that narrative disclosure affects earnings quality. To be precise, the greater the narrative disclosure, the lower the absolute value of the voluntary discretionary accruals and thus the higher the quality of accounting earnings.

The findings contribute to new research on disclosure issues, particularly narrative disclosure, which enhances reader confidence in financial and nonfinancial reports and prevents misleading and manipulated information.

This research helps decision-makers understand the relationship between reports, statements and earnings quality in a firm. It's unique in exploring this relationship, especially in developing countries. The study is the first of its kind in Jordan, known for its economic stability and strategic location in the Middle East, making its findings applicable to similar environments.

In Jamaican context, it is imperative to understand both the knowledge and the experiential gaps related to the wellbeing of middle leaders at the college level. Using qualitative, semi-structured interviews, this chapter explores the views of six middle leaders (in various roles) at two teacher training colleges in Jamaica to understand what initiatives, if any, existed in their institution to address faculty wellbeing practices and how they believed that their institution’s leaders could better address their wellbeing at work. The study’s findings pointed out that middle leaders attributed some initiatives as targeted to their wellbeing, but these were mostly linked to professional development endeavors aimed at bolstering their content discipline knowledge and instructional competence, whereas their struggle with unrealistic job expectations, heavy workloads, token remuneration for their senior posts, and lack of validation from the top executive leadership core have largely been unattended.

The escalating instances of financial distress (FD) in corporate houses across the globe, call for immediate attention from policymakers, practitioners and academics equally. This study aims to examine how board gender diversity (GD) and information disclosures (ID) interact with each other to drive FD.

The authors apply dynamic panel data analysis on a sample of 255 Indian-listed firms from 2016 to 2023 to arrive at the econometric results.

The main findings indicate that while ID exacerbates distress, GD reduces it. In addition, GD also interacts with ID to curtail the adverse effects of disclosures on FD. Therefore, GD acts like a stone that kills two birds simultaneously, first by reducing the distress directly and second by limiting the negative effects of disclosures on distress.

This study extends the understanding of the implications of GD and complements existing research by investigating its direct and indirect impact on FD. It builds on the analysis to propose that GD can foster resilience against adverse FD situations. The findings should apply to other emerging nations after careful consideration of country-specific factors.