Purpose: The research is aimed at elaborating a model in which dynamic capabilities affect sustainable competitiveness via organisational sustainability practices and the mediating role of organisational ambidexterity.Design/methodology/approach: Emphasising the need for business sustainability in the face of technological breakthroughs, resource depletion and increasing expectations of stakeholders, it is necessary to reflect on a long-term organisational resilience that would enable sustainable competitiveness through dynamic capabilities. Hence, the paper provides insights on how an organisation can sustain its competitiveness by constantly balancing between the need for continuous improvement due to the pressure in economic, social and ecological environment, and the pursuit of continuous improvement of performance. The authors used structural equation modelling on data collected via a survey of 455 organisations from the Baltic region.Findings: The results confirm the relationships between sensing and reconfiguring capabilities and sustainability practices, but reject them for scanning capabilities. They also confirm the impact of sustainability practices on some of the pillars of sustainable competitiveness. The research disclosed that ambidexterity was a mediator between dynamic capabilities and sustainable competitiveness.Originality/value: The paper discloses the link between dynamic capabilities and sustainable competitive advantage by identifying the main characteristics of the constructs and revealing the linkage between them.

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

The purpose of this paper is to assess the efficiency of climate change competitiveness via a case study on EU regions by using the data envelopment analysis (DEA) model and Shannon entropy. First, on the same premise as similar composite indicators, we develop a DEA model to assess the relative performance of the regions in climate change competitiveness. Then, we extend our calculations with a DEA-like model and Shannon entropy to derive global estimates of a new competitiveness index by using common weights. Results show that the proposed DEA-Entropy model enables the construction of a regional climate change competitiveness index among all regions via a set of common weights. The proposed model’s common weight structure demonstrates more discriminative power compared to the weights obtained through pure DEA or DEA-like methods. In order to validate the proposed DEA-Entropy model, it was applied to 120 EU regions. The results are meaningful for the regions to improve their competitiveness.