Mitigating liabilities of foreignness in migrant entrepreneurship: The role of AI in building virtual embeddedness

IF 13.3 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-08-15 DOI:10.1016/j.techfore.2025.124323

Stoyan Stoyanov , Veselina Stoyanova

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Abstract

This study explores how Generative Pretrained Transformer (GPT) Artificial Intelligence (AI) aids migrant entrepreneurs (MEs) in overcoming the social interactions' impact liabilities of foreignness has on their embeddedness and collaboration prospects within host business environments. Drawing upon a qualitative interpretivist approach, semi-structured interviews were conducted with 20 Bulgarian MEs in the UK actively using this technology. Thematic analysis of the collected data revealed that GPT AI serves as a critical tool for establishing virtual embeddedness, consequently reducing liabilities of foreignness in the host country.

Addressing this issue from a micro-foundation’ perspective, the study reveals the systematic socio-structural mechanisms and the micro foundations they entail, emerging from MEs' use of GPT AI over three phases – calibrating, coordinating, and consolidating social interactions. By proposing a micro-foundations framework to explain the socio-interactional dynamics of MEs using GPT AI for virtual embeddedness, we respond to call for a deeper understanding of the modern factors (i.e., use of AI technology) influencing social embeddedness – particularly virtual such.

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减轻移民创业中的外国人责任：人工智能在构建虚拟嵌入中的作用

本研究探讨了生成式预训练转换器（GPT）人工智能（AI）如何帮助移民企业家（MEs）克服社会互动中的外来性负债对他们在东道国商业环境中的嵌入性和合作前景的影响。利用定性解释主义方法，我们对英国20名积极使用该技术的保加利亚中小企业进行了半结构化访谈。对所收集数据的专题分析表明，GPT人工智能是建立虚拟嵌入性的关键工具，从而减少东道国的外国人责任。该研究从微观基础的角度解决了这一问题，揭示了系统的社会结构机制及其所需要的微观基础，这些机制来自于中小企业对GPT人工智能的使用，分三个阶段——校准、协调和巩固社会互动。通过提出一个微观基础框架来解释使用GPT人工智能进行虚拟嵌入的中小企业的社会互动动态，我们回应了对影响社会嵌入的现代因素（即人工智能技术的使用）的更深入理解的呼吁-特别是虚拟的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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