Financial Distress and Psychological Well-Being During the COVID-19 Pandemic. [PDF]
Borrescio-Higa F +2 more
europepmc +1 more source
ABSTRACT Although firms that integrate a sustainability orientation (SO) may experience a significant improvement in their resource efficiency, many, particularly small‐ and medium‐sized enterprises (SMEs), still struggle with the complexities of incorporating sustainability into their business models.
Michael Adu Kwarteng +3 more
wiley +1 more source
The 6-item InCharge financial distress/financial wellbeing (IFDFW-6) scale: Development and validation in pharmacy and epidemiology research. [PDF]
Sakr F +5 more
europepmc +1 more source
Do business strategies and environmental, social, and governance (ESG) performance mitigate the likelihood of financial distress? A multiple mediation model. [PDF]
Habib AM.
europepmc +1 more source
ABSTRACT This study investigates the relationship between financial constraints and a firm's sustainability performance. Our empirical analysis utilises a panel of 40,445 observations from 9466 listed non‐financial firms across 44 countries, spanning the period from 2002 to 2019.
Boying Xu +2 more
wiley +1 more source
Association of Financial Distress With Nonmedical Out-of-Pocket Expenses in Those With Critical Illness. [PDF]
Mahavadi VS +5 more
europepmc +1 more source
Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking. [PDF]
Bierut L, Biroli P, Galama TJ, Thom K.
europepmc +1 more source
ABSTRACT This study investigates the bi‐directional relationship between corporate sustainability and environmental uncertainty, focusing on key moderators that shape firms' strategic responses. Using fixed‐effects regressions with S&P 500 data (LSEG Refinitiv Workspace, 2005–2022), we present two key findings.
Felix Peter Thiesen, Rainer Lueg
wiley +1 more source
Rethinking financial distress in public healthcare: evidence from Greek hospitals' governance attributes. [PDF]
Karakolias S.
europepmc +1 more source
A novel method for financial distress prediction based on sparse neural networks with L 1 / 2 regularization. [PDF]
Chen Y, Guo J, Huang J, Lin B.
europepmc +1 more source

