logo
ResearchBunny Logo
Abstract
This study investigates the generation mechanism of behavioral risk among decision-makers in financial institutions. It examines organizational and human errors in decision-making, defines behavioral risk types, identifies necessary conditions for its emergence, and constructs an analysis model. Motivation and utility functions are developed, and a case study of the China Everbright Group (CEG) is analyzed. The study finds that behavioral risk stems from conflicts between organizational and individual interests, failures of contextual constraints, and lacking auditing/feedback mechanisms. Measures to mitigate risk through scientific decision-making are proposed.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Sep 13, 2024
Authors
Lijun Liang, Tongxin Dai, Mengwan Zhang
Tags
behavioral risk
decision-making
financial institutions
organizational errors
audit mechanisms

Related Publications

Explore these studies to deepen your understanding of the subject.

Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG)
Medicine and Health

Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG)

A. J. M. Aabakke, T. G. Petersen, et al.

Basis for fulfilling responsibilities, behavior, and professionalism of government agencies and effectiveness in public–public collaboration for food safety risk management
Food Science and Technology

Basis for fulfilling responsibilities, behavior, and professionalism of government agencies and effectiveness in public–public collaboration for food safety risk management

L. Wu, L. Zhang, et al.

Impact of artificial intelligence on human loss in decision making, laziness and safety in education
Education

Impact of artificial intelligence on human loss in decision making, laziness and safety in education

S. F. Ahmad, H. Han, et al.

Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma
Medicine and Health

Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma

A. Medina, N. Puig, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny