Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice
The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility o...
Gespeichert in:
Veröffentlicht in: | Thunderbird international business review 2024-03, Vol.66 (2), p.185-200 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 200 |
---|---|
container_issue | 2 |
container_start_page | 185 |
container_title | Thunderbird international business review |
container_volume | 66 |
creator | Menzies, Jane Sabert, Bianka Hassan, Rohail Mensah, Prince Kofi |
description | The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies. |
doi_str_mv | 10.1002/tie.22370 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2938208630</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2938208630</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3890-e79cebcbaa2954d45c053390802cbc11eeb28ead51a1ab287246c8c2cf468e073</originalsourceid><addsrcrecordid>eNp1kE9LAzEQxRdRsFYPfoOAJ8FtJ9l_WW-lVC0UvNRzyE5n25Q1W5NdpN_etCt48jSPmR9vZl4U3XOYcAAx7QxNhEgKuIhGPBMQ57JIL4OGMo_TIhfX0Y33ewAOnGej6DhznakNGt0wYztqGrMli8Tq1p0bzurOtDaMq94bS94_s2XnWe_pieFONw3ZLfknpu2G-X4b9In3Z4O673pHzJEn7XB3Zg5OY2eQbqOrWjee7n7rOPp4Waznb_Hq_XU5n61iTGQJMRUlUoWV1qLM0k2aIWRJUoIEgRVyTlQJSXqTcc11kIVIc5QosE5zSVAk4-hh8D249qsP16l924evGq9EmUgBMk8gUI8Dha713lGtDs58andUHNQpWRWSVedkA8sGlrC1xv-RUmZJLrPitHQ6IN-moeP_Xmq9XAymP9odhtM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2938208630</pqid></control><display><type>article</type><title>Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice</title><source>PAIS Index</source><source>Access via Wiley Online Library</source><creator>Menzies, Jane ; Sabert, Bianka ; Hassan, Rohail ; Mensah, Prince Kofi</creator><creatorcontrib>Menzies, Jane ; Sabert, Bianka ; Hassan, Rohail ; Mensah, Prince Kofi</creatorcontrib><description>The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.</description><identifier>ISSN: 1096-4762</identifier><identifier>EISSN: 1520-6874</identifier><identifier>DOI: 10.1002/tie.22370</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Artificial intelligence ; Big Data ; challenges ; International business ; Markets ; practices ; Resource management ; strategies ; Workplaces</subject><ispartof>Thunderbird international business review, 2024-03, Vol.66 (2), p.185-200</ispartof><rights>2024 The Authors. published by Wiley Periodicals LLC.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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><citedby>FETCH-LOGICAL-c3890-e79cebcbaa2954d45c053390802cbc11eeb28ead51a1ab287246c8c2cf468e073</citedby><cites>FETCH-LOGICAL-c3890-e79cebcbaa2954d45c053390802cbc11eeb28ead51a1ab287246c8c2cf468e073</cites><orcidid>0000-0002-7685-8586 ; 0000-0002-7825-0283 ; 0009-0001-2942-7660</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Ftie.22370$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Ftie.22370$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27866,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Menzies, Jane</creatorcontrib><creatorcontrib>Sabert, Bianka</creatorcontrib><creatorcontrib>Hassan, Rohail</creatorcontrib><creatorcontrib>Mensah, Prince Kofi</creatorcontrib><title>Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice</title><title>Thunderbird international business review</title><description>The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.</description><subject>Artificial intelligence</subject><subject>Big Data</subject><subject>challenges</subject><subject>International business</subject><subject>Markets</subject><subject>practices</subject><subject>Resource management</subject><subject>strategies</subject><subject>Workplaces</subject><issn>1096-4762</issn><issn>1520-6874</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>7TQ</sourceid><recordid>eNp1kE9LAzEQxRdRsFYPfoOAJ8FtJ9l_WW-lVC0UvNRzyE5n25Q1W5NdpN_etCt48jSPmR9vZl4U3XOYcAAx7QxNhEgKuIhGPBMQ57JIL4OGMo_TIhfX0Y33ewAOnGej6DhznakNGt0wYztqGrMli8Tq1p0bzurOtDaMq94bS94_s2XnWe_pieFONw3ZLfknpu2G-X4b9In3Z4O673pHzJEn7XB3Zg5OY2eQbqOrWjee7n7rOPp4Waznb_Hq_XU5n61iTGQJMRUlUoWV1qLM0k2aIWRJUoIEgRVyTlQJSXqTcc11kIVIc5QosE5zSVAk4-hh8D249qsP16l924evGq9EmUgBMk8gUI8Dha713lGtDs58andUHNQpWRWSVedkA8sGlrC1xv-RUmZJLrPitHQ6IN-moeP_Xmq9XAymP9odhtM</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Menzies, Jane</creator><creator>Sabert, Bianka</creator><creator>Hassan, Rohail</creator><creator>Mensah, Prince Kofi</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley Periodicals Inc</general><scope>24P</scope><scope>WIN</scope><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope><orcidid>https://orcid.org/0000-0002-7685-8586</orcidid><orcidid>https://orcid.org/0000-0002-7825-0283</orcidid><orcidid>https://orcid.org/0009-0001-2942-7660</orcidid></search><sort><creationdate>202403</creationdate><title>Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice</title><author>Menzies, Jane ; Sabert, Bianka ; Hassan, Rohail ; Mensah, Prince Kofi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3890-e79cebcbaa2954d45c053390802cbc11eeb28ead51a1ab287246c8c2cf468e073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Big Data</topic><topic>challenges</topic><topic>International business</topic><topic>Markets</topic><topic>practices</topic><topic>Resource management</topic><topic>strategies</topic><topic>Workplaces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menzies, Jane</creatorcontrib><creatorcontrib>Sabert, Bianka</creatorcontrib><creatorcontrib>Hassan, Rohail</creatorcontrib><creatorcontrib>Mensah, Prince Kofi</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>ECONIS</collection><collection>CrossRef</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><jtitle>Thunderbird international business review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menzies, Jane</au><au>Sabert, Bianka</au><au>Hassan, Rohail</au><au>Mensah, Prince Kofi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice</atitle><jtitle>Thunderbird international business review</jtitle><date>2024-03</date><risdate>2024</risdate><volume>66</volume><issue>2</issue><spage>185</spage><epage>200</epage><pages>185-200</pages><issn>1096-4762</issn><eissn>1520-6874</eissn><abstract>The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><doi>10.1002/tie.22370</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-7685-8586</orcidid><orcidid>https://orcid.org/0000-0002-7825-0283</orcidid><orcidid>https://orcid.org/0009-0001-2942-7660</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1096-4762 |
ispartof | Thunderbird international business review, 2024-03, Vol.66 (2), p.185-200 |
issn | 1096-4762 1520-6874 |
language | eng |
recordid | cdi_proquest_journals_2938208630 |
source | PAIS Index; Access via Wiley Online Library |
subjects | Artificial intelligence Big Data challenges International business Markets practices Resource management strategies Workplaces |
title | Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T21%3A26%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artificial%20intelligence%20for%20international%20business:%20Its%20use,%20challenges,%20and%20suggestions%20for%20future%20research%20and%20practice&rft.jtitle=Thunderbird%20international%20business%20review&rft.au=Menzies,%20Jane&rft.date=2024-03&rft.volume=66&rft.issue=2&rft.spage=185&rft.epage=200&rft.pages=185-200&rft.issn=1096-4762&rft.eissn=1520-6874&rft_id=info:doi/10.1002/tie.22370&rft_dat=%3Cproquest_cross%3E2938208630%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2938208630&rft_id=info:pmid/&rfr_iscdi=true |