Artificial intelligence and family businesses: a systematic literature review

IF 3.6 Q2 MANAGEMENT
Deepak Kumar, Vanessa Ratten
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引用次数: 0

Abstract

Purpose

This paper examines the integration of artificial intelligence (AI) within family businesses, focusing on how AI can enhance their competitiveness, resilience and sustainability. The study seeks to provide insights into AI’s application in family business contexts, addressing the unique strengths and challenges these businesses face.

Design/methodology/approach

A systematic literature review was conducted to synthesize existing research on the adoption and integration of AI in family businesses. The review involved a comprehensive analysis of relevant academic literature to identify key trends, opportunities, challenges and factors influencing AI adoption in family-owned enterprises.

Findings

The review highlights the significant potential of AI for family businesses, particularly in improving operations, decision-making and customer engagement. It identifies opportunities such as analysing customer data, enhancing brand building, streamlining operations and improving customer experiences through technologies like Generative AI, Machine Learning, AI Chatbots and NLP. However, challenges like resource constraints, inadequate infrastructure, low customization and AI knowledge gaps inhibit AI adoption in family firms. The study proposes an AI adoption roadmap tailored for family businesses and outlines future research directions based on emerging themes in AI use within these enterprises.

Originality/value

This paper addresses the underexplored area of AI integration in family businesses, contributing to the academic understanding of the intersection between AI and family-owned enterprises. The study offers a comprehensive synthesis of existing research, providing valuable insights and practical recommendations for enhancing the competitiveness and sustainability of family businesses through AI adoption.

人工智能与家族企业:系统文献综述
目的 本文探讨了人工智能(AI)与家族企业的融合,重点关注人工智能如何增强家族企业的竞争力、适应力和可持续性。本研究旨在深入探讨人工智能在家族企业中的应用,解决这些企业所面临的独特优势和挑战。设计/方法/途径进行了系统的文献综述,以归纳有关家族企业采用和整合人工智能的现有研究。综述对相关学术文献进行了全面分析,以确定影响家族企业采用人工智能的主要趋势、机遇、挑战和因素。综述强调了人工智能对家族企业的巨大潜力,特别是在改善运营、决策和客户参与方面。它指出了一些机遇,如通过生成式人工智能、机器学习、人工智能聊天机器人和 NLP 等技术分析客户数据、加强品牌建设、简化运营和改善客户体验。然而,资源限制、基础设施不足、定制化程度低和人工智能知识差距等挑战阻碍了人工智能在家族企业中的应用。本研究提出了为家族企业量身定制的人工智能应用路线图,并根据这些企业中人工智能应用的新兴主题概述了未来的研究方向。 原创性/价值 本文探讨了家族企业中人工智能整合这一尚未充分探索的领域,有助于学术界了解人工智能与家族企业之间的交叉点。本研究对现有研究进行了全面综合,为通过采用人工智能提高家族企业的竞争力和可持续性提供了有价值的见解和实用建议。
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
CiteScore
5.50
自引率
33.30%
发文量
51
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