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The strategic role of Artificial Intelligence in attracting foreign institutional investors: A comparative analysis of new and old firms

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dc.title The strategic role of Artificial Intelligence in attracting foreign institutional investors: A comparative analysis of new and old firms en
dc.contributor.author Khan, Talat Mehmood
dc.contributor.author Khan, Muhammad Awais
dc.contributor.author Popesko, Boris
dc.relation.ispartof Technology in Society
dc.identifier.issn 0160-791X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1879-3274 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2026
utb.relation.volume 86
dc.type article
dc.language.iso en
dc.publisher Elsevier Ltd
dc.identifier.doi 10.1016/j.techsoc.2026.103293
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0160791X26000825
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0160791X26000825/pdfft?md5=a25c67d7c821e45c418392bf64c1392f&pid=1-s2.0-S0160791X26000825-main.pdf
dc.subject artificial intelligence en
dc.subject foreign institutional investors en
dc.subject firm performance en
dc.subject firm age en
dc.description.abstract The rapid advancements in artificial intelligence (AI) and its deployment by firms are important factors in attracting investors. By using the data of A-share Chinese listed firms from 2016 to 2022, this study attempts to estimate the possible linkage of AI adoption by firms in appealing the Foreign Institutional Investors (Foreign II's). The study findings indicate the following: (1) AI is positively linked to Foreign II's. (2) The heterogeneity analysis shows that this linkage is stronger in new firms. (3) Firm performance significantly improves the relationship between AI and Foreign II's. (4) In contrast, firm age negatively influences this relationship. After employing several robustness tests, the study findings remain validated. Overall, we provide important insights and actionable references to support the strategic incorporation of AI into organizational operations, aiming to attract foreign investments. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012835
utb.identifier.scopus 2-s2.0-105032846615
utb.identifier.wok 001720150300001
utb.source j-scopus
dc.date.accessioned 2026-07-24T14:23:16Z
dc.date.available 2026-07-24T14:23:16Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Department of Industrial Engineering and Information Systems
utb.contributor.internalauthor Khan, Talat Mehmood
utb.contributor.internalauthor Popesko, Boris
utb.fulltext.sponsorship -
utb.fulltext.projects -
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International