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The European Innovation Scoreboard is an important indicator of innovation performance across European Member States. Despite its wide application, the indicator fails to highlight the interlinkages that exist among innovation measures and focuses primarily on the linear relationship between the individual measures and the predicted outcome. This study aims to address this gap by applying a novel technique, the fuzzy-set qualitative comparative analysis (fsQCA), to shed light on these interlinkages and highlight the complexity of the determinants underlying innovation performance.

The authors adopted a configurational approach based on fsQCA that is implemented on innovation performance data from European Member States for the period 2011–2018. The approach is based on non-linearity and allows for the analysis of interlinkages based on equifinality, that is, the model recognises that there are different potential paths of high and low innovation performance. In addition, the approach allows for asymmetric relations, where a low innovation outcome is not the exact inverse of that which leads to high innovation outcome.

The results clearly indicate that innovation outcomes are not based on simple linear relations. Thus, to reap the desired effects from investments in innovation inputs, the complex set of indicators on which innovation performance is based should be taken into consideration. The results clearly indicate the elements of equifinality and asymmetric relations. Different paths lead to high innovation performance and low innovation performance.

The method applied to investigate the determinants of innovation performance is the prime original factor of this study. Thus, the study contributes to literature by highlighting the complexity involved in understanding innovation. By recognising and attempting to detangle this complexity, this study will assist not just academics but also policymakers in designing the necessary measures required to reach this important outcome for a country’s competitive edge.

This study aims to analyze the effect of female top management and female dominant owner on whether firms experience obstacles to obtaining external finance in 136 medium- and low-income countries during 2006–2019. The analysis controls for the role of corporate governance and other firm-specific characteristics, as well as for the impact of national institutions.

The analysis elucidates the economic and non-economic factors driving female corporate leadership. Further, in order to capture the causal effect, the analysis uses univariate tests, multivariate regression analysis, disaggregation testing, sensitivity and endogeneity analysis to confirm the quality of the estimates. The analysis controls for various additional country-level factors.

The results show that female top management and female ownership are broadly significant determinants of firms' access to external finance, especially in relatively larger and more developed countries. The role of controlling shareholders is significant and mediates the gender effect. The latter appears more pronounced in smaller and medium-size firms, operating in the manufacturing and services sectors as well as in the countries with higher levels of development. This also varies with the countries' macroeconomic conditions and institutions governing gender development and equality as well as institutional governance effectiveness.

The results suggest that firms wishing to improve the firms' access to external finance should consider the role of gender in both top management and corporate ownership coupled with the effect of the specific characteristics of firms and the conditioning role of national institutions.

The study examines the gender effects of top management and dominant ownership for the external financing decisions of firms in low- and middle-income countries, which are underresearched. These gender effects are mitigated in various ways by the specific characteristics of firms and especially on national institutions.

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.