Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets
In recent years, artificial intelligence has increasingly been interesting for its role in improving accounting practices. This research investigates whether there is a significant difference in value-added tax (VAT) reporting quality between traditional methods and those assisted by artificial inte...
Gespeichert in:
Veröffentlicht in: | Journal of risk and financial management 2024-11, Vol.17 (11), p.477 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 11 |
container_start_page | 477 |
container_title | Journal of risk and financial management |
container_volume | 17 |
creator | Al Najjar, Moustafa Mahboub, Rasha Nakhal, Bilal Gaber Ghanem, Mohamed |
description | In recent years, artificial intelligence has increasingly been interesting for its role in improving accounting practices. This research investigates whether there is a significant difference in value-added tax (VAT) reporting quality between traditional methods and those assisted by artificial intelligence (AI) in emerging markets. The experiment introduces an AI intervention using ChatGPT-4 to analyze data for accounting errors. The results demonstrate that AI-assisted reporting significantly improves reporting quality, as the AI effectively identified accounting errors that were missed in traditional reporting. This study makes a valuable contribution by providing novel, practical insights into the role and capabilities of AI in tax reporting, employing a rarely used experimental methodology to explore this topic. |
doi_str_mv | 10.3390/jrfm17110477 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_3133057087</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A818334406</galeid><sourcerecordid>A818334406</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1047-b89a252d45b69af89ac10395bbec6121c6901c6681c5ccc07632e78b4eeba0a43</originalsourceid><addsrcrecordid>eNpNkMFOwzAMhiMEEtPYjQeIxJUOp2mblFs1DZg0hBiDa5Vm7uhom5GmiL09qcZhshTH9v8ltgm5ZjDlPIW7nS0bJhiDSIgzMmIpY4EEEZ2f3C_JpOt2AMDAM1yOiJ7_7mtjq3ZL3SfSlamRmpJmC1q1dNHsrfkZah_Zmq5wb6wbotde1ZU73FMPo60abJ2q6ZvrN4cBmzdot4PuWdkvdN0VuShV3eHk34_J-8N8PXsKli-Pi1m2DPTQdFDIVIVxuIniIklV6SOf52lcFKgTFjKdpOCPRDIda61BJDxEIYsIsVCgIj4mN8d3fdffPXYu35netv7LnDPOIRYghVdNj6qtqjGv2tI4q7S3DTaVNi2Wlc9nkknOowgSD9weAW1N11ks872fWdlDziAfVp-frp7_AUzadb4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3133057087</pqid></control><display><type>article</type><title>Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Al Najjar, Moustafa ; Mahboub, Rasha ; Nakhal, Bilal ; Gaber Ghanem, Mohamed</creator><creatorcontrib>Al Najjar, Moustafa ; Mahboub, Rasha ; Nakhal, Bilal ; Gaber Ghanem, Mohamed</creatorcontrib><description>In recent years, artificial intelligence has increasingly been interesting for its role in improving accounting practices. This research investigates whether there is a significant difference in value-added tax (VAT) reporting quality between traditional methods and those assisted by artificial intelligence (AI) in emerging markets. The experiment introduces an AI intervention using ChatGPT-4 to analyze data for accounting errors. The results demonstrate that AI-assisted reporting significantly improves reporting quality, as the AI effectively identified accounting errors that were missed in traditional reporting. This study makes a valuable contribution by providing novel, practical insights into the role and capabilities of AI in tax reporting, employing a rarely used experimental methodology to explore this topic.</description><identifier>ISSN: 1911-8074</identifier><identifier>ISSN: 1911-8066</identifier><identifier>EISSN: 1911-8074</identifier><identifier>DOI: 10.3390/jrfm17110477</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accounting ; Accounting firms ; Accounting procedures ; Accounting systems ; Artificial intelligence ; Automation ; Chatbots ; Data analysis ; Efficiency ; Emerging markets ; Human error ; Macroeconomics ; Modernization ; Software ; Technique ; Technology Acceptance Model ; Technology adoption ; Value-added tax</subject><ispartof>Journal of risk and financial management, 2024-11, Vol.17 (11), p.477</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1047-b89a252d45b69af89ac10395bbec6121c6901c6681c5ccc07632e78b4eeba0a43</cites><orcidid>0009-0000-3601-8948 ; 0000-0002-4446-1891</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Al Najjar, Moustafa</creatorcontrib><creatorcontrib>Mahboub, Rasha</creatorcontrib><creatorcontrib>Nakhal, Bilal</creatorcontrib><creatorcontrib>Gaber Ghanem, Mohamed</creatorcontrib><title>Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets</title><title>Journal of risk and financial management</title><description>In recent years, artificial intelligence has increasingly been interesting for its role in improving accounting practices. This research investigates whether there is a significant difference in value-added tax (VAT) reporting quality between traditional methods and those assisted by artificial intelligence (AI) in emerging markets. The experiment introduces an AI intervention using ChatGPT-4 to analyze data for accounting errors. The results demonstrate that AI-assisted reporting significantly improves reporting quality, as the AI effectively identified accounting errors that were missed in traditional reporting. This study makes a valuable contribution by providing novel, practical insights into the role and capabilities of AI in tax reporting, employing a rarely used experimental methodology to explore this topic.</description><subject>Accounting</subject><subject>Accounting firms</subject><subject>Accounting procedures</subject><subject>Accounting systems</subject><subject>Artificial intelligence</subject><subject>Automation</subject><subject>Chatbots</subject><subject>Data analysis</subject><subject>Efficiency</subject><subject>Emerging markets</subject><subject>Human error</subject><subject>Macroeconomics</subject><subject>Modernization</subject><subject>Software</subject><subject>Technique</subject><subject>Technology Acceptance Model</subject><subject>Technology adoption</subject><subject>Value-added tax</subject><issn>1911-8074</issn><issn>1911-8066</issn><issn>1911-8074</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkMFOwzAMhiMEEtPYjQeIxJUOp2mblFs1DZg0hBiDa5Vm7uhom5GmiL09qcZhshTH9v8ltgm5ZjDlPIW7nS0bJhiDSIgzMmIpY4EEEZ2f3C_JpOt2AMDAM1yOiJ7_7mtjq3ZL3SfSlamRmpJmC1q1dNHsrfkZah_Zmq5wb6wbotde1ZU73FMPo60abJ2q6ZvrN4cBmzdot4PuWdkvdN0VuShV3eHk34_J-8N8PXsKli-Pi1m2DPTQdFDIVIVxuIniIklV6SOf52lcFKgTFjKdpOCPRDIda61BJDxEIYsIsVCgIj4mN8d3fdffPXYu35netv7LnDPOIRYghVdNj6qtqjGv2tI4q7S3DTaVNi2Wlc9nkknOowgSD9weAW1N11ks872fWdlDziAfVp-frp7_AUzadb4</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Al Najjar, Moustafa</creator><creator>Mahboub, Rasha</creator><creator>Nakhal, Bilal</creator><creator>Gaber Ghanem, Mohamed</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X5</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0009-0000-3601-8948</orcidid><orcidid>https://orcid.org/0000-0002-4446-1891</orcidid></search><sort><creationdate>20241101</creationdate><title>Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets</title><author>Al Najjar, Moustafa ; Mahboub, Rasha ; Nakhal, Bilal ; Gaber Ghanem, Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1047-b89a252d45b69af89ac10395bbec6121c6901c6681c5ccc07632e78b4eeba0a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accounting</topic><topic>Accounting firms</topic><topic>Accounting procedures</topic><topic>Accounting systems</topic><topic>Artificial intelligence</topic><topic>Automation</topic><topic>Chatbots</topic><topic>Data analysis</topic><topic>Efficiency</topic><topic>Emerging markets</topic><topic>Human error</topic><topic>Macroeconomics</topic><topic>Modernization</topic><topic>Software</topic><topic>Technique</topic><topic>Technology Acceptance Model</topic><topic>Technology adoption</topic><topic>Value-added tax</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al Najjar, Moustafa</creatorcontrib><creatorcontrib>Mahboub, Rasha</creatorcontrib><creatorcontrib>Nakhal, Bilal</creatorcontrib><creatorcontrib>Gaber Ghanem, Mohamed</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of risk and financial management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al Najjar, Moustafa</au><au>Mahboub, Rasha</au><au>Nakhal, Bilal</au><au>Gaber Ghanem, Mohamed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets</atitle><jtitle>Journal of risk and financial management</jtitle><date>2024-11-01</date><risdate>2024</risdate><volume>17</volume><issue>11</issue><spage>477</spage><pages>477-</pages><issn>1911-8074</issn><issn>1911-8066</issn><eissn>1911-8074</eissn><abstract>In recent years, artificial intelligence has increasingly been interesting for its role in improving accounting practices. This research investigates whether there is a significant difference in value-added tax (VAT) reporting quality between traditional methods and those assisted by artificial intelligence (AI) in emerging markets. The experiment introduces an AI intervention using ChatGPT-4 to analyze data for accounting errors. The results demonstrate that AI-assisted reporting significantly improves reporting quality, as the AI effectively identified accounting errors that were missed in traditional reporting. This study makes a valuable contribution by providing novel, practical insights into the role and capabilities of AI in tax reporting, employing a rarely used experimental methodology to explore this topic.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/jrfm17110477</doi><orcidid>https://orcid.org/0009-0000-3601-8948</orcidid><orcidid>https://orcid.org/0000-0002-4446-1891</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1911-8074 |
ispartof | Journal of risk and financial management, 2024-11, Vol.17 (11), p.477 |
issn | 1911-8074 1911-8066 1911-8074 |
language | eng |
recordid | cdi_proquest_journals_3133057087 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute |
subjects | Accounting Accounting firms Accounting procedures Accounting systems Artificial intelligence Automation Chatbots Data analysis Efficiency Emerging markets Human error Macroeconomics Modernization Software Technique Technology Acceptance Model Technology adoption Value-added tax |
title | Exploring the Role of AI in Improving VAT Reporting Quality: Experimental Study in Emerging Markets |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T02%3A29%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20the%20Role%20of%20AI%20in%20Improving%20VAT%20Reporting%20Quality:%20Experimental%20Study%20in%20Emerging%20Markets&rft.jtitle=Journal%20of%20risk%20and%20financial%20management&rft.au=Al%20Najjar,%20Moustafa&rft.date=2024-11-01&rft.volume=17&rft.issue=11&rft.spage=477&rft.pages=477-&rft.issn=1911-8074&rft.eissn=1911-8074&rft_id=info:doi/10.3390/jrfm17110477&rft_dat=%3Cgale_proqu%3EA818334406%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3133057087&rft_id=info:pmid/&rft_galeid=A818334406&rfr_iscdi=true |