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Artificial intelligence and family businesses: a systematic literature review
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References

  • 2006Using thematic analysis in psychology193,725 cited
  • 2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review15,354 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2017The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms1,865 cited
  • 2020The art of crafting a systematic literature review in entrepreneurship research1,317 cited
  • 2021Artificial intelligence for supply chain resilience: learning from Covid-19582 cited
  • 2019Application of Artificial Intelligence in Automation of Supply Chain Management292 cited
  • 2023Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience209 cited
  • 2022Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes191 cited
  • 2022The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness178 cited
  • 2019Dealing with revered past: Historical identity statements and strategic change in Japanese family firms169 cited
  • 2023BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS154 cited
  • 2022Family Business Adapting a New Digital-Based Economy: Opportunities and Challenges for Future Research

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145 cited
  • 2020Radical innovation in family firms: a systematic analysis and research agenda110 cited
  • 2022Assessing the AI-CRM technology capability for sustaining family businesses in times of crisis: the moderating role of strategic intent107 cited
  • 2023The Interplay of AI Adoption, IoT Edge, and Adaptive Resilience to Explain Digital Innovation: Evidence from German Family-Owned SMEs48 cited
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    • 2024Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots14 cited
    • 2026Artificial Intelligence in Literature Review Synthesis: A Step-by-Step Methodological Approach for Researchers and Academics9 cited