Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice

被引:1
|
作者
Menzies, Jane [1 ,5 ]
Sabert, Bianka [1 ]
Hassan, Rohail [2 ,3 ]
Mensah, Prince Kofi [4 ]
机构
[1] Univ Sunshine Coast, Sch Business & Creat Ind, Sippy Downs, Qld, Australia
[2] Univ Utara Malaysia, Othman Yeop Abdullah Grad Sch Business OYAGSB, Kuala Lumpur, Malaysia
[3] Univ Econ & Human Sci Warsaw, Warsaw, Poland
[4] Univ Ghana, Business Sch, Accra, Ghana
[5] Univ Sunshine Coast, Sch Business & Creat Ind, Sippy Downs, Qld 4556, Australia
关键词
artificial intelligence; challenges; international business; practices; strategies; MANAGEMENT; IMPACT; FRAMEWORK; ADOPTION;
D O I
10.1002/tie.22370
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:185 / 200
页数:16
相关论文
共 50 条
  • [41] Accounting for the future: practice, Artificial Intelligence and regulation
    Opera, Octavian
    Hoinaru, Razvan
    Pacuraru-Ionescu, Catalin-Paul
    Neamtu, Daniela
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BUSINESS EXCELLENCE, 2022, 16 (01): : 817 - 826
  • [42] Artificial intelligence in the practice of pulmonology: The future is now
    Chauhan, Nishant Kumar
    Asfahan, Shahir
    Dutt, Naveen
    Jalandra, Ram Niwas
    [J]. LUNG INDIA, 2022, 39 (01) : 1 - 2
  • [43] Future of Pediatric Practice — Artificial Intelligence Beckoning?
    Remesh Kumar R
    [J]. Indian Pediatrics, 2022, 59 : 443 - 444
  • [44] Future of Pediatric Practice - Artificial Intelligence Beckoning?
    Kumar, Remesh R.
    [J]. INDIAN PEDIATRICS, 2022, 59 (06) : 443 - 444
  • [45] Artificial intelligence and decision-making in government functions: opportunities, challenges and future research
    Alshahrani, Albandari
    Griva, Anastasia
    Dennehy, Denis
    Mantymaki, Matti
    [J]. TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY, 2024,
  • [46] Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
    Chiu T.K.F.
    Xia Q.
    Zhou X.
    Chai C.S.
    Cheng M.
    [J]. Computers and Education: Artificial Intelligence, 2023, 4
  • [47] Cosmopolitan Confucian cultures: suggestions for future research and practice
    Sor-hoon Tan
    [J]. International Communication of Chinese Culture, 2015, 2 (3) : 159 - 180
  • [48] Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions
    Han, Runyue
    Lam, Hugo K. S.
    Zhan, Yuanzhu
    Wang, Yichuan
    Dwivedi, Yogesh K.
    Tan, Kim Hua
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2021, 121 (12) : 2467 - 2497
  • [49] Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
    Kusters, Remy
    Misevic, Dusan
    Berry, Hugues
    Cully, Antoine
    Le Cunff, Yann
    Dandoy, Loic
    Diaz-Rodriguez, Natalia
    Ficher, Marion
    Grizou, Jonathan
    Othmani, Alice
    Palpanas, Themis
    Komorowski, Matthieu
    Loiseau, Patrick
    Frier, Clement Moulin
    Nanini, Santino
    Quercia, Daniele
    Sebag, Michele
    Fogelman, Francoise Soulie
    Taleb, Sofiane
    Tupikina, Liubov
    Sahu, Vaibhav
    Vie, Jill-Jenn
    Wehbi, Fatima
    [J]. FRONTIERS IN BIG DATA, 2020, 3
  • [50] Challenges and obstacles of artificial intelligence in health research
    Leon-Gomez, Brenda Biaani
    Moreno-Gabriel, Eduard
    Carrasco-Ribelles, Lucia A.
    Fors, Concepcio Violan
    Liutsko, Liudmila
    [J]. GACETA SANITARIA, 2023, 37