Results 291 to 300 of about 180,143 (369)
Analyzing risk contagion and volatility spillover across multi-market capital flow using EVT theory and C-vine Copula. [PDF]
Afzal F, Pan H, Afzal F, Gul RF.
europepmc +1 more source
Abstract In this study, we examine the reflexivity modes of information systems (IS) professionals and integrate the IS context—including structural, technological, and social properties—with IS professionals' biographical, inner dialogues to theorise about the role of reflexivity modes in their experiences of psychological empowerment.
Riitta Hekkala, Emma Nordbäck
wiley +1 more source
Measuring the Risk Spillover Effect of RCEP Stock Markets: Evidence from the TVP-VAR Model and Transfer Entropy. [PDF]
Zou Y, Chen Q, Han J, Xiao M.
europepmc +1 more source
Analysis of the Impact of Investor Sentiment on Stock Price Crash Risk
Haonan Yu
openalex +2 more sources
Abstract Aims To identify facilitators and barriers and tailor implementation strategies to optimize emergency clinician's use of adult and paediatric sepsis pathways. Design A qualitative descriptive study using focus group methodology. Methods Twenty‐two emergency nurses and ten emergency medical officers from four Australian EDs participated in ...
Belinda Munroe+9 more
wiley +1 more source
Controlling shareholders' share pledge and share repurchase notices of listed companies. [PDF]
Cao L, Zhu X, Xie J.
europepmc +1 more source
Abstract Aim To explore the barriers and facilitators influencing emergency department clinicians' adherence to the Australian Peripheral Intravenous Catheter (PIVC) Clinical Care Standard, using the Behaviour Change Wheel (BCW). Background Suboptimal PIVC practices are frequently linked to a range of patient‐important adverse outcomes.
Hui Xu+7 more
wiley +1 more source
Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs. [PDF]
Nguyen APN+3 more
europepmc +1 more source
Broomean(ish) Algorithmic Fairness?
ABSTRACT Recently, there has been much discussion of ‘fair machine learning’: fairness in data‐driven decision‐making systems (which are often, though not always, made with assistance from machine learning systems). Notorious impossibility results show that we cannot have everything we want here.
Clinton Castro
wiley +1 more source
Cartelization and Expected Crash Risk: Evidence From Global Leniency Laws
ABSTRACT Exploiting the staggered passage of leniency laws in foreign countries to which United States (US) firms are exposed that exogenously renders cartelization less feasible, we show that firms’ expected crash risk significantly increases following the passage of foreign leniency laws.
Dongyue Wang+3 more
wiley +1 more source