Search results

This paper aim to analyse the motives behind the commitment of nurses to their profession despite their intense job duties during the COVID-19 pandemic.

The empirical sample comprises of 35 semi-structured interviews with public sector hospital nurses in under-researched contexts of Egypt and Peru.

Three types of motives were found to play a critical role in nurses’ commitment to their profession despite the difficulties associated with extreme work conditions. These factors include cultural (religious values, governmental coercion), contextual (limited education, organisational support) and personal (good nurse identity, submissive nature) dimensions.

This paper is one of the pioneering works to link existing literature streams on career commitment, extreme jobs, extreme context and management under disruptions (particularly COVID-19) by analysing these aspects in the under-researched Peruvian and Egyptian contexts.

This study examines the relation between pay inequalities in top management teams and how efficiently firms convey valuation-relevant information to investors. Given that reward comparisons with reference groups create feelings of inequity, top management team pay inequalities can impair the information environment. This manifests into lengthier or less readable financial reports.

This paper employs an ordinary least squares (OLS) regression model to test whether and how the pay distribution in the top management team is associated with the readability of the annual report. It also employs a two-stage least squares (2SLS) regression model to further address the endogeneity concern. Lastly, it conducts cross-sectional analyses to examine heterogeneity in the observed relation.

Using the intra-firm pay gap as a proxy for pay inequality and file size, Bog Index and Fog Index of the 10-K filings as a proxy for financial report readability, the author finds that firms with larger pay gaps exhibit lengthier or less readable 10-K filings. The main findings are robust to the use of an instrumental variable approach. She finds some evidence that the relation is less pronounced when pay gaps are justified by explicit legal authority of CEOs or high ability of CEOs. The main results are robust to considerations of alternative explanations.

This paper adds a new dimension to the debate on pay inequality by studying pay gaps in the top management team and financial report readability. The author's findings have important implications for executive compensation policies and for corporate disclosure policies.

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.