Showing 20 of 614 academic articles
Robin Room, Thomas F. Babor, Jürgen T. Rehm • The Lancet
(2005)
OPENALEX
DOI: https://doi.org/10.1016/s0140-6736(05)17870-2
Alessio Faccia, Julie McDonald, Babu George • Computers
(2023)
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent. This study introduces a novel approach to detecting financial statement...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers13010005
Marcus D. Odom, Ramesh Sharda • International Joint Conference on Neural Networks (IJCNN)
(1990)
A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies. The same set of data is analyzed using a more traditional method of bankruptcy prediction, multivariate discrimi...
OPENALEX
DOI: https://doi.org/10.1109/ijcnn.1990.137710
Desmond Fletcher, Ernie Goss • Information & Management
(1993)
OPENALEX
DOI: https://doi.org/10.1016/0378-7206(93)90064-z
Jöerg Evermann, Jana-Rebecca Rehse, Peter Fettke • Decision Support Systems
(2017)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.dss.2017.04.003
Jeremy Bertomeu, Edwige Cheynel, Eric Floyd, Wenqiang Pan • Review of Accounting Studies
(2020)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/s11142-020-09563-8
Saqib Aziz, Michael Dowling • Palgrave studies in digital business & enabling technologies
(2018)
We explore how machine learning and artificial intelligence (AI) solutions are transforming risk management. A non-technical overview is first given of the main machine learning and AI techniques of benefit to risk managementRisk management...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1007/978-3-030-02330-0_3
Matthew Francis Dixon, Igor Halperin, Paul Bilokon • Springer eBooks
(2020)
OPENALEX
DOI: https://doi.org/10.1007/978-3-030-41068-1
Markus Leippold, Qian Wang, Wenyu Zhou • Journal of Financial Economics
(2021)
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for ...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.jfineco.2021.08.017
Keywan Christian Rasekhschaffe, Robert C. Jones • Financial Analysts Journal
(2019)
Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. Although machine learning algorithms can un...
OPENALEX
DOI: https://doi.org/10.1080/0015198x.2019.1596678
Flávio Barboza, Herbert Kimura, Edward I. Altman • Expert Systems with Applications
(2017)
OPENALEX
DOI: https://doi.org/10.1016/j.eswa.2017.04.006
Michael Gofman, Zhao Jin • The Journal of Finance
(2023)
ABSTRACT We document an unprecedented brain drain of Artificial Intelligence (AI) professors from universities from 2004 to 2018. We find that students from the affected universities establish fewer AI startups and raise less funding. The b...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1111/jofi.13302
Luke Tredinnick • Business Information Review
(2017)
2017 promises to be the year that artificial intelligence (AI) moves out of film and fiction and into the workplace. While automation has become commonplace in retail and services, from the ubiquitous uptake of automatic tills to the growin...
OPENALEX
DOI: https://doi.org/10.1177/0266382117692621
Ashwani Kumar Upadhyay, Komal Khandelwal • Strategic HR Review
(2018)
Purpose This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in t...
OPENALEX
DOI: https://doi.org/10.1108/shr-07-2018-0051
Julia Kokina, Thomas H. Davenport • Journal of Emerging Technologies in Accounting
(2017)
ABSTRACT This paper provides an overview of the emergence of artificial intelligence in accounting and auditing. We discuss the current capabilities of cognitive technologies and the implications these technologies will have on human audito...
OPENALEX
DOI: https://doi.org/10.2308/jeta-51730
Felipe A. Csaszar, Tom Steinberger • Academy of Management Annals
(2021)
A rarely acknowledged fact about organization theory (OT) is that many of its ideas stem from the field of artificial intelligence (AI). For example, key OT concepts such as problemistic search, he......
OPENALEX
Open Access
DOI: https://doi.org/10.5465/annals.2020.0192
Krystyna Jarek, Grzegorz Mazurek • Central European Business Review
(2019)
In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing. The aim of the paper is to research how deeply AI is appli...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.18267/j.cebr.213
Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie • Information Systems Frontiers
(2021)
Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order...
OPENALEX
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DOI: https://doi.org/10.1007/s10796-021-10186-w
suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية
(2025)
The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/cfdj.2024.326666.2065
Wenjuan Sun, Paolo Bocchini, Brian D. Davison • Natural Hazards
(2020)
OPENALEX
DOI: https://doi.org/10.1007/s11069-020-04124-3