Arroyabe, Marta F. ORCID: https://orcid.org/0000-0003-3223-0268 and F.A. Arranz, Carlos ORCID: https://orcid.org/0000-0002-6866-0684 (2025) Social innovation in SMEs: examining the role of artificial intelligence and social and environmental sustainability. Journal of Environmental Management, 398:128439. ISSN 0301-4797 (doi:10.1016/j.jenvman.2025.128439)

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Abstract

This study examines how environmental sustainability, social sustainability, and artificial intelligence (AI) interact to foster social innovation in small and medium-sized enterprises (SMEs). Drawing on Resource-Based Theory (RBT) and Institutional Theory, it explores how internal resources, and external pressures jointly shape social innovation outcomes. Using a large dataset of more than 12,000 European SMEs, the study investigates the individual and combined effects of these practices. The findings reveal differential impacts among the three drivers. Social sustainability emerges as the most significant predictor of social innovation, highlighting its central role in generating social value and promoting equity and inclusion. Environmental sustainability also exerts a positive influence, contributing to the development of innovations that address both ecological and social challenges. In contrast, AI plays a more indirect role by enhancing efficiency, resource optimisation, and the implementation of sustainability strategies. Theoretically, the study advances understanding of social innovation in SMEs by integrating internal (RBT) and external (institutional theory) perspectives. It shows that innovation arises from the alignment of firm capabilities with institutional expectations. Practically, it offers guidance for SMEs and policymakers on how to integrate AI and sustainability to improve competitiveness while contributing to societal well-being.

Item Type:	Article
Uncontrolled Keywords:	social innovation, small and medium-sized enterprises, smes, artificial intelligence, ai adoption, social sustainability, environmental sustainability, sustainability practices, digital transformation, resource-based view, institutional theory, european smes, eurobarometer data, firm capabilities, institutional pressures, sustainability-driven innovation
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Networks and Urban Systems Centre (NUSC) Greenwich Business School > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group (CCRG) Greenwich Business School > School of Business, Operations and Strategy
Last Modified:	14 Jan 2026 09:05
URI:	https://gala.gre.ac.uk/id/eprint/52278

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