The Impact of Cybercrime Incidents and Artificial Intelligence Adoption on Organizational Performance: A Mediatied Moderation Model

Financial fraud, intellectual property theft, and domains undergo high threats due to cybercrime, increasing the threat to businesses, especially financial markets. Such dirty activities hit various organizations, whether banks, financial institutions, corporations, or individuals, and jeopardize those activities that depend on financial support. Technology has brought many changes with its integration into the financial sector. Although technology has made it easier to handle business tasks day in and day out, the ease of using technology has also given rise to cyberattacks. The arrival of artificial intelligence has brought in new models to combat these cyber threats and also assess them. People must become smart about AI so that they don't get duped. This research aims to expand upon the fraud diamond framework by identifying risk factors leading organisations toward fraudulent behaviour. It focuses on the relationship between artificial intelligence, cybercrime incidents and organizational performance. It is proposed that fraud cases can act as mediators, while cyber threats may serve as moderators, impacting organizational performance. Descriptive research, useful for unbiased data collection that accurately reflects behaviour and trends, was applied. Data was collected from bank managers, operations managers, assistant vice presidents, and executive leaders through a convenience sampling method, a non-probability approach. 550 questionnaires were distributed via Google Forms, yielding an adequate response rate. Partial Least Squares Structural Equation Modeling (PLS-SEM) software was used for data analysis. The findings underscore the need for international cooperation among governments, regulators, law enforcement, and financial institutions to address the global nature of cyber threats. Such cooperation is crucial for effectively managing, responding to, and mitigating the risks posed by these incidents.

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Publication Details

Journal
Journal of excellence in social sciences.
Published
2024-08-29
DOI
https://doi.org/10.69565/jess.v3i3.379
Citations
4
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
3.12
Controls
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article

The Impact of Cybercrime Incidents and Artificial Intelligence Adoption on Organizational Performance: A Mediatied Moderation Model

Shahzadi Sattar, Munaza Bukhari, Sajjad Saleem, Aquib Ali Khan et al.
4 citations
Journal of excellence in social sciences.
Cybercrime and Law Enforcement Studies
3.12
article

The Impact of Cybercrime Incidents and Artificial Intelligence Adoption on Organizational Performance: A Mediatied Moderation Model

Shahzadi Sattar, Munaza Bukhari, Sajjad Saleem, Aquib Ali Khan, Khan Zaman Khan
article en
4 citations

Abstract

Financial fraud, intellectual property theft, and domains undergo high threats due to cybercrime, increasing the threat to businesses, especially financial markets. Such dirty activities hit various organizations, whether banks, financial institutions, corporations, or individuals, and jeopardize those activities that depend on financial support. Technology has brought many changes with its integration into the financial sector. Although technology has made it easier to handle business tasks day in and day out, the ease of using technology has also given rise to cyberattacks. The arrival of artificial intelligence has brought in new models to combat these cyber threats and also assess them. People must become smart about AI so that they don't get duped. This research aims to expand upon the fraud diamond framework by identifying risk factors leading organisations toward fraudulent behaviour. It focuses on the relationship between artificial intelligence, cybercrime incidents and organizational performance. It is proposed that fraud cases can act as mediators, while cyber threats may serve as moderators, impacting organizational performance. Descriptive research, useful for unbiased data collection that accurately reflects behaviour and trends, was applied. Data was collected from bank managers, operations managers, assistant vice presidents, and executive leaders through a convenience sampling method, a non-probability approach. 550 questionnaires were distributed via Google Forms, yielding an adequate response rate. Partial Least Squares Structural Equation Modeling (PLS-SEM) software was used for data analysis. The findings underscore the need for international cooperation among governments, regulators, law enforcement, and financial institutions to address the global nature of cyber threats. Such cooperation is crucial for effectively managing, responding to, and mitigating the risks posed by these incidents.

Journal of excellence in social sciences.Vol. 3(3)
University of Sargodha (PK), University of Washington (US), Khawaja Farid Social Security Hospital (PK), National College of Business Administration and Economics (PK), Northern University of Malaysia (MY)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Cybercrime and Law Enforcement Studies
3.12
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