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The Impact of Artificial Intelligence (AI) for Transforming Tourism Marketing on the USA Industry Practices Abid, Raghib; Saha, Palash; Islam, Md. Mominul
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1016

Abstract

This study explores the transformative role of Artificial Intelligence (AI) in tourism marketing, highlighting its ability to enhance personalization, operational efficiency, and consumer engagement. The objective is to bridge the gap between theoretical capabilities and practical applications of AI in the USA tourism marketing. The methodology employs a PRISMA-based approach, focusing on recent studies from 2020 onward to analyze AI’s impact on marketing practices. A thorough examination of 389 publications obtained from databases like Scopus, Google Scholar, and Scimago for detailed qualitative analysis. The key contribution of this paper lies in its structural approach, which discuss the potential of various AI tools such as tailored recommendations and AI chatbots etc., offering fresh insights on their influence on the American Tourism Marketing sector. The report presents a framework for assessing the impact of AI on customer satisfaction and productivity, providing pragmatic solutions for tourism enterprises. In near future AI will develop enhancing human critical thinking and converting human cognition capabilities.
Applications of Forensic Accounting in Detecting and Preventing Financial Crimes Saha, Palash; Dey , Kripa Nath; Chowdhury, Mohammad Shofiqul Islam; Das, Ripon Chandra; khan, Md Miraj Hossen; Tanvir, Md Tasnin; Halimuzzaman, Md.
International Journal of Finance Research Vol. 6 No. 2 (2025): International Journal of Finance Research
Publisher : Training & Research Institute - Jeramba Ilmu Sukses (TRI-JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/ijfr.v6i2.2692

Abstract

Financial crimes, including fraud, misuse, and money laundering, present considerable risks to Bangladesh's economic stability and public confidence in financial institutions. This paper examines the application of forensic accounting in identifying and mitigating such crimes, evaluating its efficacy, identifying obstacles, and exploring possible legislative measures. A quantitative poll involving 400 respondents from industries such as banking, accounting, auditing, and regulatory organizations indicated that 82% perceived financial crimes as prevalent, whereas 89% asserted that forensic accounting could substantially improve fraud detection. The study revealed multiple obstacles to adoption, including insufficient forensic knowledge (68%), technological constraints (56%), and inadequate regulatory enforcement (63%). Participants endorsed the incorporation of global best practices, including as AI-driven fraud detection and real-time transaction monitoring, while underscoring the necessity for policy reforms, training initiatives, and technical investments to enhance the accessibility and efficacy of forensic accounting. The results suggest that by overcoming these obstacles, Bangladesh can improve its financial crime prevention framework, promote organizational transparency, and establish a more robust financial system.