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This study proposes a model of the effect of financial and non-financial performance measures on nonprofit organizations’ (NPOs’) effectiveness where internal stakeholders' trust play an intervening role in the aforementioned relationships.

Data were collected from 218 employees working at the largest Palestinian NPOs. The perceptions of these employees were used to measure the variables, and structural equation modeling was used to examine the hypotheses.

Results suggest that the use of financial and non-financial performance measures was positively related to NPOs' effectiveness. Internal stakeholders' trust showed a significant mediating effect between the use of performance measures and NPOs' effectiveness.

This study may be of value for NPOs' managers due to the positive effects performance measurement (PM) can have on NPO effectiveness. Managers and boards should seek to enhance their internal stakeholders' trust to achieve higher levels of effectiveness.

This study has three main contributions. First, it is one of the very few papers which empirically examines the links between PM and NPOs' effectiveness, rather than providing conceptual lens. Second, the paper investigates the role of stakeholders' trust as a mediating mechanism in the proposed model, a topic that has been neglected by NPOs governance researchers. Finally, the study uses data from the Palestinian context, contributing to the PM literature by providing evidence on the relationship between performance measures and NPOs' effectiveness from a non-Western context.

In Ghana, legal and illegal artisanal small-scale mining (ASM) activities have attracted the attention of the general populace and academia with varied opinions. This study examined how adopting the coping strategies for ASM operations affected the welfare of farm households.

Primary data were solicited from respondents using a semi-structured questionnaire. This paper used the endogenous treatment effect model to quantitatively estimate whether or not farmers who adopt coping strategies for activities of ASM have improved or deteriorated welfare.

The results revealed that households adopted coping strategies such as diversification, social networking, land reclamation, borrowing, dependence on the market for food and resettlement in other communities. The endogenous treatment effect model results show that households that adopted land reclamation and social networking had improved welfare regarding consumption expenditure and food security compared to non-adopters. Conversely, diversification was associated with lower consumption expenditures and high food insecurity among adopters.

This paper recommends that farm households in mining communities form cooperatives and farmer-based organizations to ensure improved access to joint resources for enhanced capacity to cope with ASM-induced shocks. There is a need for government and civil society organizations to encourage and support land reclamation measures.

This paper covers a broader perspective and deploys more than one welfare proxy, which has not been considered before in previous studies.

This article introduces the Special Issue on Sustainable Management of Heritage Buildings in long-term perspective.

It starts by reviewing the gaps in knowledge and practice which led to the creation and implementation of the research project SyMBoL—Sustainable Management of Heritage Buildings in long-term perspective funded by the Norwegian Research Council over the 2018–2022 period. The SyMBoL project is the motivation at the base of this special issue.

The editorial paper briefly presents the main outcomes of SyMBoL. It then reviews the contributions to the Special Issue, focussing on the connection or differentiation with SyMBoL and on multidisciplinary findings that address some of the initial referred gaps.

The article shortly summarizes topics related to sustainable preservation of heritage buildings in time of reduced resources, energy crisis and impacts of natural hazards and global warming. Finally, it highlights future research directions targeted to overcome, or partially mitigate, the above-mentioned challenges, for example, taking advantage of no sestructive techniques interoperability, heritage building information modelling and digital twin models, and machine learning and risk assessment algorithms.