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The increasing relevance of environmental, social and governance (ESG) engagement has attracted interest in its drivers and effects on business outcomes under different organizational settings. By focusing on family firms (FFs), we deepen both the role of business ethics as a predictor of enhanced ESG engagement and the link with improved corporate financial performance (CFP). In this way, we aim to provide new insights into the impact of business ethics and ESG engagement on FFs competitiveness.

Based on a worldwide panel of 335 FFs covering the 2002–2020 time horizon, this study adopts a two-stage Heckman model (1979) to empirically address two research questions: (RQ1) Do business ethics predict greater ESG engagement in FFs? (RQ2) Does ESG engagement positively affect the corporate financial performance (CFP) of FFs?

The results of the current study are twofold. First, we demonstrate that an ethical approach to business drives greater ESG engagement. Second, we show that higher levels of ESG engagement lead to improved financial performance in FFs.

Our study contributes to filling the knowledge gaps regarding the drivers and effects of ESG engagement in FFs. On the one hand, we demonstrate the positive connection between dimensions that have their own identity, such as business ethics and ESG constructs. On the other hand, by shedding light on the impact of ESG engagement on improved CFP, we contribute to solving the trade-off between economic and noneconomic FF goals.

Artificial intelligence (AI) is poised to reshape mental health practices, policies and research in the coming decade. Simultaneously, mental health inequalities persist globally, imposing considerable costs on individuals, communities and economies. This study aims to investigate the impact of AI technologies on future citizenship for individuals with mental health challenges (MHCs).

This research used a community-based participatory approach, engaging peer researchers to explore the perspectives of adults with MHCs from a peer-led mental health organisation. This study evaluated potential threats and opportunities presented by AI technologies for future citizenship through a co-created film, depicting a news broadcast set in 2042. Data were gathered via semi-structured interviews and focus groups and were analysed using a reflexive thematic approach.

The analysis identified four key themes: Who holds the power? The divide, What it means to be human, and Having a voice. The findings indicate that adults with living experiences of MHCs are eager to influence the development of AI technologies that affect their lives. Participants emphasised the importance of activism and co-production while expressing concerns about further marginalisation.

This study provides new insights into the intersection of AI, technology and citizenship, highlighting the critical need for inclusive practices in technological advancement. By incorporating the perspectives of individuals with living experiences, this study advocates for participatory approaches in shaping AI technologies in mental health. This includes the co-creation of machine learning algorithms and fostering citizen engagement to ensure that advancements are equitable and empowering for people with MHCs.