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The purpose of this paper is to introduce engaged scholarship as a method for addressing the “wicked problem” of High Street change through successful collaboration and co-production of knowledge between academics, practitioners, citizens and other place stakeholders.

The first part of this paper introduces engaged scholarship as a participatory form of research and situates it within the context of the High Street. The second part presents the case of High Street UK 2020 (HSUK2020) via Van de Ven’s diamond model of engaged scholarship as a guide.

Engaged scholarship’s focus on knowledge production and on collaboration between the research team and the community enabled us to improve the understanding of factors affecting High Streets amongst a diverse group of stakeholders and focus on what works for the towns. The ongoing impact of HSUK2020 on the project towns’ action plans and on this current research is testament to how engaged scholarship research can drive the agendas for both academics and communities.

The paper presents engaged scholarship as an alternative collaborative method of conducting research on the High Street, one that is more in line with the current trends in retailing and works as a motivating factor for community engagement.

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.