Corporate Financial Crises and Fraud Detection

Dear Colleagues,

Our financial landscape is undergoing rapid changes that have been catalyzed, in part, by the COVID-19 pandemic, market volatility and uncertainty, and the digital transformations brought about by leading internet technologies and Industry 4.0 applications, to name but a few forces. Despite these advancements, financial and accounting crime continues to pose a systemic risk for financial and non-financial firms, as well as our global economy. With technology and the increasing complexity of our financial system, crimes and fraudulent activities are difficult to detect. In their Global Economic Crime and Fraud Survey, PricewaterhouseCoopers (PwC) found that at least 51% of the surveyed organizations said they experienced some form of fraud in the last two years (source: https://www.pwc.com/gx/en/services/forensics/economic-crime-survey.html). PwC reported that fraudsters often find cracks in platforms and technologies in order to carry out their crimes. To broaden our understanding of some of these issues, this call for papers invites papers from a variety disciplines that are both theoretical and/or empirical in nature. Topics of interest include, but are not limited to:

• Financial and accounting misconduct;
• Financial statement analysis tools for fraud detection and/or manipulation;
• Fraud detection using qualitative and/or quantitative methods;
• Machine learning and AI as tools in financial accounting for fraud mitigation;
• Business privacy management systems;
• Platform economics and its relationship to financial crises and/or corporate fraud;
• Cryptocurrencies, blockchain technology, and smart contracts, and their relationship to financial crises and/or corporate fraud;
• Cybercrime markets;
• Firm audit management practices in mitigating/detecting crimes and/or fraud;
• Institutional culture and financial accounting misconduct;
• Legal frameworks around the world and their role in mitigating financial accounting crimes/fraud;
• ESG and ESG-linked assets, and their relationship to financial crises and/or corporate fraud;
• Due diligence procedures for mitigating financial accounting crimes/fraud;
• Entrepreneurship, crowdfunding, and the protection of investors from market misconduct.

Related research questions on these overall topics, as well as topics tangential to these, are welcome.

Please let either of us know if you have any questions.

Dr. Dimitrios Koutmos
Dr. Larry Crumbley
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• financial and accounting misconduct
• financial statement analysis tools for fraud detection and/or manipulation
• fraud detection using qualitative and/or quantitative methods