AI-driven sustainability brand activism for family businesses: a future-proofing perspective article
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Journal of Family Business Management
Abstract
Purpose – Artificial intelligence (AI) and sustainable business represent the irrefutable future of all forward
looking businesses in the world today. In this perspective article, the authors explore the confluence of these
important topics by highlighting the role of family businesses in advancing sustainable brand activism aligned
with the United Nations Sustainable Development Goals (UNSDGs), like SDG 1, which emphasises poverty
eradication. The authors fall on the transformative potential of artificial intelligence (AI) and online brand
communities in family businesses as an anchor for promoting sustainability practices that align with UNSDGs.
Design/methodology/approach –Using literature review, the authors fall on the transformative potential of
AI and online brand communities in family businesses as an anchor for promoting sustainability practices that
align with UNSDGs.
Findings – Scholarly research on AI-driven sustainability brand activism in family businesses is either limited
or nonexistent. Family businesses have a unique opportunity to use AI for eco-friendly operations, personalised
brand engagement, eco-friendly product development, global collaborations and education and advocacy in
support of the UNSDGs. Future research could look at how family businesses align their values, their long-term
effects, how they work across generations, how resilient and flexible they are and how they compare to non family businesses when it comes to using AI and brand activism as long-term strategies for sustainability and
survival.
Originality/value – The authors call for family businesses, governments and stakeholders to take theoretical
and practical actions in promoting AI-driven sustainability brand activism aligned with the UNSDGs. It
underscores the distinctive role of family businesses in driving sustainability and fostering brand activism
through AI in a digital age.
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Research Article