Results 111 to 120 of about 2,333 (216)

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Evaluating Deep Learning and Machine Learning Models in Federated Learning for Credit Card Fraud Detection: A Comparative Study [PDF]

Database Systems Journal
This study evaluates machine learning and deep learning algorithms for credit card fraud detection within a federated learning framework. With digital banking’s rapid growth facilitating customer access yet exposing new fraud vectors, real-time detection
Sener ALI
doaj  

Fraud Detection for Random Walks.

Traditional fraud detection is often based on finding statistical anomalies in data sets and transaction histories. A sophisticated fraudster, aware of the exact kinds of tests being deployed, might be difficult or impossible to catch. We are interested in paradigms for fraud detection that are provably robust against any adversary, no matter how ...
Varsha Dani, Thomas P. Hayes, Seth Pettie, Jared Saia   +3 more
openaire   +3 more sources

The Impact of Economic Growth on Insurance (Growth)

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the impact of economic growth on insurance (growth), focusing on the outflow side of the insurance activity, as captured by benefits (including commissions and expenses). The findings provide evidence that economic growth does exert a positive, statistically significant impact on the benefit side of insurance (growth ...
Nicholas Apergis, Thomas Poufinas, Panagiotis Kimpouropoulos   +2 more
wiley   +1 more source

Developing a Z‐ESG Score Model for Assessing Corporate ESG Performance

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this study we develop a novel, unique ESG rating model that exploits the logic of the Z‐score by Altman (1968) to discriminate between ESG performing and non‐ESG performing firms using indicators of ESG performance for each of the three pillars (Environmental, Social, Governance) in place of financial ratios.
Edward I. Altman, Francesco Baldi, Claudia D'Ippolito, Antonio Salvi   +3 more
wiley   +1 more source

A Framework to Establish Diet and Nutrition Competencies for Oral Health Care Education

Journal of Dental Education, EarlyView.
ABSTRACT Objective: To prevent and manage oral disease, oral health care practitioners (OHCPs) must provide dietary counseling based on nutrition science. OHCPs are often ill‐equipped to provide such counseling due to fragmented and inadequate dietary education, which is typically attributed to limited curricular time or appropriately qualified faculty.
Teresa A. Marshall, Michael Crowe, Riva Touger‐Decker   +2 more
wiley   +1 more source

The effect of internal auditors’ critical thinking and emotional intelligence on fraud detection ability with the mediating role of reduced audit quality behaviors

حسابداری و شفافیت مالی
Purpose: Fraud detection represents a fundamental challenge in internal auditing that extends beyond internal auditors’ technical expertise and is increasingly influenced by their cognitive and emotional characteristics.
Seyed Reza Seyed Nezhad Fahim, Sadegh Yousef Nezhad   +1 more
doaj  

Impact of Anti-Fraud Awareness, Fraud Detection Procedures, and Technology to Fraud Detection Skill

, 2023
Emma Saur Nauli Sipayung, Harti Budi Yanti, Anggara Bayu Setya   +2 more
openaire   +1 more source

Contrasts or Carryover? Demands–Capabilities Fit and Task‐Level Intrinsic Motivation Across the Workday

Journal of Organizational Behavior, EarlyView.
ABSTRACT In the course of a workday, employees attend to various tasks whose challenge might be equal to, higher than, or lower than employees' present level of capabilities. Moreover, employees encounter these tasks sequentially throughout the day with different levels of prior motivation. Investigating carryover effects in motivation from one task to
Sherry (Qiang) Fu, Anna C. Lennard, Leslie Garza, Lindsey M. Greco, Nikolaos Dimotakis   +4 more
wiley   +1 more source

Avoiding Moral Divergence: A Self‐Verification Perspective on Why and When Team Ethical Conflict Inhibits Individual Ethical Voice

Journal of Organizational Behavior, EarlyView.
ABSTRACT Although contextual factors have been shown to facilitate ethical voice, research on team‐level antecedents that may inhibit it has been limited. Drawing on self‐verification theory, we develop a multilevel moderation–mediation model that examines how team ethical conflict inhibits individual ethical voice. Ethical self‐verification perception
Yilin Xiang, Lu Chen
wiley   +1 more source