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This paper aims to verify whether the integration of sustainability in executive compensation positively affects firms’ non-financial performance and whether corporate governance characteristics enhance the relationship between sustainability compensation and firms’ non-financial performance and to expand the domain of the impact of sustainability on non-financial performance.

This analysis is based on a sample of companies listed on the Milan Italian Stock Exchange from the Financial Times Milan Stock Exchange Index over the 2016–2020 period. Regression analysis was used by using data retrieved from the Refinitiv Eikon database and the sample firms’ remuneration reports.

The findings of this paper show that embedding sustainability in executive compensation positively affects firms’ non-financial performance. The results of this paper also reveal that specific corporate governance features can improve the impact of sustainability on non-financial performance.

This analysis is limited to Italian firms included in the Financial Times Milan Stock Exchange Index; however, the findings are highly significant.

The findings provide regulators with useful insights for considering the integration of sustainability goals into executive remuneration. Another implication is that policymakers should require – at least – listed firms to fulfil specific corporate governance structural requirements. Finally, the findings can provide investors and financial analysts with a greater awareness of the role played by executive remuneration in the long-term value-creation process.

This paper contributes to addressing the relationship among sustainability, remuneration and non-financial disclosure, drawing on the stakeholder–agency theoretical framework and focusing on Italian firms. This issue has received limited attention with controversial results in the literature.

There is a mental health crisis, particularly among young people. Despite many young people living in urban settings, reviews about the association between exposure to green or natural environments and mental health tend to focus on either children or adults. The aim of this review is to examine the scope of the global literature for this age group, to inform a systematic review on the role of exposure to green space in preventing anxiety and depression amongst young people aged 14–24 years.

Seven databases were searched for quantitative and qualitative sources published from January 2000 to June 2020. This identified 201 sources and their characteristics are described here. Gaps in the literature are also highlighted.

The number of relevant studies published per year has increased over time. Most studies are set in North America (28%) or Europe (39%). The most common study designs were observational (34%) or experimental (28%). A wide range of exposures and interventions are described.

This review included literature from predominantly high-income countries and has shown the under-representation of low-middle income countries and lack of ethnic diversity in study populations. It has also highlighted the lack of clinical measures of anxiety and depression as outcomes.

This inter-disciplinary review has contributed to the field by describing the geographic distribution of the literature and the broad range of exposures to green spaces being reported. Unlike previous scoping reviews, this review focused specifically on young people and on measures of anxiety and depression and their pre-cursers.

A major source of failure for new ventures is the entrepreneurs℉ misunderstanding of the product-market fit. Recently, researchers have suggested that to get a better understanding of the product-market fit, entrepreneurs should “get out of the building” and interview many customers. This approach, while advantageous, is not without drawbacks. This article presents a conceptual model that incorporates the characteristics of “getting out of the building” to conduct customer interviews, and the biases that can arise to influence the entrepreneurs℉ misjudgment of the product-market fit. We provide recommendations to overcome these biases.