{"title":"Analysis of the benefits of artificial intelligence and human personality study on online fraud detection","authors":"Kapil Bansal, Aseem Chandra Paliwal, Arun Kumar Singh","doi":"10.1108/ijlma-08-2023-0198","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.</p><!--/ Abstract__block -->","PeriodicalId":46125,"journal":{"name":"International Journal of Law and Management","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Law and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijlma-08-2023-0198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.
Design/methodology/approach
The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.
Findings
There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).
Originality/value
This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.
期刊介绍:
The International Journal of Law and Management is a leading journal addressing all aspects of regulation and law as they impact on organisational development, operations and leadership. Organisations and their leaders operate in an increasingly complex world of emerging regulation across national and international boundaries. The International Journal of Law and Management seeks to acknowledge the dynamics of that environment and provide a platform for articles and contributions to stimulate scholarly debate in the development of law and practice. The International Journal of Law and Management seeks to present the latest research on policy, practice and theoretical perspectives and their impact on the development and leadership of organisations. Contributions of a multi-disciplinary nature are welcome. Coverage includes, but is not limited to: -Employment and industrial law- Corporate governance and social responsibility- Intellectual property- Corporate law and finance- Insolvency- Commercial law and consumer protection- Environmental law- Taxation- Competition law- Regulatory theory