An Anti-Fraud Policy:A Theoretical Framework for a Prosperity Tripod of Massive Data,Blockchain,and AI  

作　　者：Reza G.Hamzaee Maryam Salimi 

机构地区：[1]Missouri Western State University,St.Joseph,USA [2]RMD Hamzaee Econometrics International Consultants,Overland Park,USA [3]Soureh University,Tehran,Iran

出　　处：《Management Studies》2024年第2期102-123,共22页管理研究（英文版）

摘　　要：The authors’aspiration was to learn-and focus on policy against fraud-leading to the sustainably growing societal illnesses of dishonesty,fraud,pessimism,and divisive issues.The appropriate venue,within the currently evolving laws and regulations,is proposed to be a three-tier combination of massive data,including data accumulation,transformation,organization,stratification,estimations,data analysis,and blockchain technology,predicted to revolutionize competition and efficiency,which are further suggested to be prerequisites for a more successful creation and implementation of the third element,AI.A currently evolving prosperity tripod is hinging on the three technological legs of the massive data control/management,blockchain tech,and a rapidly growing AI.While briefly incorporating some analysis of the blockchain application,we have analytically focused on the rest-the data and AI-of what we deem to be the prospective prosperity tripod for businesses,markets,and societies,in general,despite the challenges and risks involved in each.Instead of h ypothesizing a predetermined economic model,we are proposing a data-based Vector Autoregression(VAR)methodology for the AI with an application to the fraud and anti-fraud structure and policymaking.Hopefully,the entire attempt would portend some tangible prospective contribution in an achievable positive societal change.

关 键 词：FRAUD AI data VAR 

分 类 号：C93[经济管理—管理学]