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This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).

Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.

The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.

This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.

This paper aims to explore the impact of cycle superposition on bank liquidity risk under different levels of financial openness so that banks can better manage their liquidity risk. Meanwhile, it can also provide some ideas for banks in other emerging economies to better cope with the shocks of the global financial cycle.

Employing the monthly data of 16 commercial banks in China from 2005 to 2021 and based on the time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) model, the authors first examine whether the cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. Subsequently, the authors investigate the impact of different levels of financial openness on cycle superposition amplification. Finally, the shock of the financial cycle of the world's major economies on the liquidity risk of Chinese banks is also empirically analyzed.

Cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. However, there are significant differences under different levels of financial openness. Compared with low financial openness, in the period of high financial openness, the magnifying effect of cycle superposition is strengthened in the short term but obviously weakened in the long run. In addition, the authors' findings also demonstrate that although the United States is the main shock country, the influence of other developed economies, such as Japan and Eurozone countries, cannot be ignored.

Firstly, the cycle superposition index is constructed. Secondly, the authors supplement the literature by providing evidence that the association between cycle superposition and bank liquidity risk also depends on financial openness. Finally, the dominant countries of the global financial cycle have been rejudged.

The purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the unified-form of generalized fully-coupled saturated thermo-poro-elastic systems in the axisymmetric cylindrical coordinate via cell-adaptive Kurganov-Tadmor (KT) central high-resolution scheme using the UNO limiters.

(1) The spectral features of the UNO limiter are improved by compression-adaptive MINMOD (MM) limiters, achieved by blending different types of MM limiters to achieve less numerical dissipation and dispersion. These blended MM limiters preserve the total variation diminishing (TVD) feature over non-uniform non-centered cells. Also, the spectral features of the central schemes using the UNO limiters are investigated. (2) For the thermo-poro-elastic problem, corresponding first-order hyperbolic system is provided, including flux, source, diffusion and nonlinear terms. Where, there are different interacting components in the source and flux terms. The nonlinear terms are also considered by the Picard-like linearization concept.

Compression-adaptive UNO limiters would be stable over adapted cells with centered and non-centered cells. The benchmarks confirm that both spectral features and numerical accuracy are improved. For the generalized thermo-poro-elastic problem, corresponding responses including the shock waves can properly be captured.

Studying heat effects (e.g. hot fluid or freezing) and explosions on tunnels. Also, the UNO limiters could be used for simulations of various systems of conservation laws.

The role played by corporate governance mechanisms on corporate deleveraging policies has not been clarified. Empirical evidence is confined to developed economies, even with conflicting and inconclusive results. This paper aims to examine the role of corporate governance mechanisms, such as ownership structure, board composition and CEO dominance, in explaining corporate deleveraging policies.

Using a sample of listed Pakistani firms between 2010 and 2022, this study resorts to binary response models to examine the effects of governance mechanisms on firms’ decision to go debt-free.

A greater ownership concentration, institutional ownership and family ownership increase the propensity for zero leverage. Board gender diversity decreases the propensity for deleveraging policies, which seems to indicate that the presence of females reinforces the monitoring function of the board. Finally, lower managerial ownership or CEO dominance decreases the propensity toward zero leverage (interest convergence hypothesis), but higher managerial ownership or CEO dominance increases the propensity toward zero leverage (managerial entrenchment hypothesis).

Risk-averse managers who prefer to control a firm using little or no debt will find it easier to implement these financing policies in firms with greater ownership concentration and where institutional holders have a substantial stake. For shareholders, this study suggests that investing in firms with females on board reduces the risk of corporate deleveraging policies being adopted for entrenched reasons.

The presence of females on board seems to decrease the propensity of managers to adopt opportunistic actions and may also contribute to enhancing human welfare and society in developing countries.

To the best of the authors’ knowledge, this is the first study considering the effect of board diversity on zero leverage. Another singularity is that this study exhibits a nonlinear relationship between managerial ownership and corporate deleveraging policy.

This study strives to examine the relationship between bank capital and bank liquidity level considering the joint determination of both variables pointed out in the related literature. The evidence is from the Gulf Cooperation Council (GCC) countries: Saudi Arabia, Kuwait, the United Arab Emirates, Qatar, Bahrain and Oman. The theory of banking postulates that bank capital and bank liquidity are interrelated through various links. The study conjectures that large GCC banks do not have a concern with respect to liquidity due to the implicit guarantee of GCC wealthy governments to bank deposits.

The study sample is comprised of all chartered GCC conventional and Islamic banks. The study employs several on-balance sheet ratios to proxy for bank capital and liquidity as defined in the banking literature. It also employs a related econometric model that considers the simultaneity issue pointed out in the related literature.

The results of the study reveal that GCC banks react positively when facing illiquidity by strengthening their capital ratio. Further analysis reveals that only small GCC banks (conventional and Islamic) tend to increase their capital levels when facing a liquidity shortage, which confirms the study conjecture that larger GCC banks have no credible concern about their liquidity position. Employing an alternative measure of liquidity does not change the results. This finding supports the financial fragility structure and the crowding out of deposits hypotheses.

The study contributes to the literature by employing a novel estimation approach to explore the difference in results as the sample banks represent two banking regimes, the conventional banks as well as the Islamic banks. Also, the study implicitly suggests that further research in this area could support the need to impose minimum and globally uninformed liquidity standards on banks.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.

This study aims to explore the sources of synergy gains in European mergers and acquisitions (M&A) from 2010 to 2021, focusing on both traditional and emerging synergies. Empirically validate novel types of synergies, including relational, network and nonmarket synergies, alongside operational, financial and market power synergies. Examine the impact of firm characteristics, governance structures and market conditions on the magnitude and success of synergy gains postacquisition.

The research uses a quantitative approach, analyzing a sample of 342 European M&A transactions from 2010 to 2021. Synergy gains are evaluated through econometric modeling, examining the effects of various firm and transaction characteristics on value creation.

The study reveals that operational synergies, primarily driven by cost reductions and investment savings, are the most significant contributors to value creation in European M&A. Financial synergies, while present, have a more limited impact. Additionally, relational and network synergies emerge as crucial, enhancing firms’ positions within business networks. However, nonmarket synergies did not yield significant results, highlighting the challenges of quantifying intangible benefits. Firm characteristics such as board diversity and independence are found to positively influence the realization of these synergies.

For practitioners, the findings emphasize the importance of considering both traditional and emerging sources of synergies in M&A evaluations. Decision-makers should focus not only on operational efficiency but also on enhancing relational and network positioning to maximize postacquisition value. The study also highlights the role of strong governance, particularly board diversity and independence, in ensuring successful integration and synergy realization.

This study contributes to the existing literature by empirically validating previously unexplored synergies, particularly relational, network and nonmarket synergies, in the context of European M&A. By integrating network-based perspectives, it expands the scope of traditional synergy analysis and offers a more holistic view of value creation postacquisition. The research also provides practical insights by identifying key governance factors that influence the realization of these synergies, making it a valuable resource for both academics and practitioners.

This study aims to analyze both technical efficiency and allocative efficiency per input within the banking sector, focusing on the interplay among Islamic banks, conventional banks and conventional banks offering Islamic Banking Services (CBIBS). It also investigates the impact of competition on these efficiencies.

Using data from 37 Islamic banks, 38 CBIBS and 126 conventional banks across 14 countries in the MENA region and Southeast Asia over the period 2002–2022, the authors applied a stochastic frontier production model with first-order conditions, a two-step system generalized method of moments estimator and the Tobit model for robustness checks.

The findings indicate that Islamic banks demonstrate the highest technical efficiency, whereas CBIBS exhibit the lowest. Despite this, Islamic banks encounter significant challenges in allocative inefficiency, particularly in managing financial capital, which adversely affects their cost efficiency. Interestingly, competition enhances the allocative efficiency of financial capital in conventional banks and CBIBS but diminishes it in Islamic banks. Furthermore, control variables show varied impacts on efficiencies across different banking categories.

These findings emphasize the need for collaboration between regulators and researchers to develop an efficiency measurement method that integrates financial, ethical and social aspects. It also highlights the importance of aligning banking with ethical financing practices and innovating products that optimize resource allocation, thereby enhancing both financial and ethical performance.

To the best of the authors’ knowledge, this paper is the first to analyze the allocative efficiency per input for the three categories of banks: Islamic, conventional and CBIBS, while highlighting the variety of competition effects.

This paper empirically analyses climate change effects in Chad.

Using temperature and precipitation averages, we analyse the effects of climate variations on production, income and consumption.

Estimating a simultaneous equation model with the Zellner’s Seemingly Unrelated Regression (SUR) estimator, the results show a statistically zero temperature effect while precipitations show a statistically significant effect. Precipitations are positively related to production and income but inversely to consumption. These conclusions confirm existing findings on negative effects of climate change. Furthermore, they confirm on the one hand, the difficulty of analysing climate change effects and highlight the need to carry out country-specific analysis. On the other hand, it is evidence of the existence of climatic issues in Chad. The findings are relevant in improving approaches of climate adaptation and mitigation, both at local and global levels.

The study complements the extant literature by assessing how climate change affects income and production in Chad.

High surface area-to-volume ratios make nanoparticles ideal for cancer heat therapy and targeted medication delivery. Moreover, ternary nanofluids (TNFs) may possess superior thermophysical properties compared to mono- and hybrid nanofluids due to their synergistic effects. In light of this information, the objective of this article is to examine the blood-based TNF flow within convergent/divergent channels under velocity slip and temperature jump.

Leading partial differential equations corresponding to the problem are transformed into a system of nonlinear ordinary differential equations by using similarity variables. The bvp4c code that uses the finite difference method is used to obtain a numerical solution.

The effect of nanoparticles may change depending on the characteristics of flow near the wall. The properties and proportions of the used nanoparticles become important to control the flow. When TNF was used, an increase in the Nusselt number between 4.75% and 6.10% was observed at low Reynolds numbers. At high Reynolds numbers, nanoparticles reduce the Nusselt number and skin friction coefficient values under some special flow conditions. Importantly, the effects of second-order slip on engineering parameters were also investigated. Furthermore, the Nusselt number increases with increasing shape factor.

Obtained results of the study can be beneficial in both nature and engineering, especially blood flow in veins.

The main innovations of this study are the usage of blood-based TNF and the examination of the effect of shape factor in convergent/divergent channels with second-order velocity slip.