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The purpose of this paper is to analyse the relationship between the three components of intellectual capital (IC) (human, structural, and relational), and contextual factors relating to organisational climate (OC) and innovation culture, together with their influence on business performance (BP).

This empirical research is based on an online questionnaire, which collected data from a non-probability quota sample consisting of 253 Croatian SMEs. The scales for IC, OC, and innovation culture were constructed to test the relationship between these dimensions and assess the BP of the SMEs.

Based on a survey on 253 SMEs in Croatia, the analysis shows that the key dimensions of IC, innovation culture, and OC are vital to a company’s success and are strongly inter-correlated. Higher BP is positively related to higher levels of both IC and innovation culture.

The main limitation of the research is the subjective aspect of the study. The data used in the study were self-reported where respondents in a survey gave their assessment of firm performance. Although this was necessary because of the absence of other data, it is an issue that must be taken into account when interpreting the findings in the study.

Understanding the role of IC, OC, and innovation culture in relation to BP, particularly in former transition countries, can have important implications for managers and enterprise owners, as well as policy makers and the academic community.

The findings emphasise the important role of tacit knowledge in the innovation process, of which IC and OC are good examples.

This empirical study brings evidence from the understudied country of Croatia. Croatia is a post-transitional country and the last accessed member of the EU, on the dividing line between a modest and a moderate innovator. This is the first empirical study conducted in Croatia that explores the association between three concepts that are typically investigated separately (IC, OC, and innovation culture).

The main purpose of this research is to analyse the efficiency of the main European monitoring frameworks to estimate the transition of the countries within the European Union (EU) towards circular economy (CE) using the example of Croatia.

Assessment methods with reliable data and appropriate indicators are essential when it comes to measuring transition and progress towards CE. The methodology employed in this research is a systematic and critical analysis of the seven European measurement frameworks employed to assess Croatia's progress towards CE.

The analysis revealed how EU's monitoring frameworks have developed over time and how useful they are in evaluating country's progress towards CE. The measurement tools and indicators proved, in the case of Croatia, insufficient for clarifying and understanding its progress towards CE. Selection of indicators within monitoring frameworks is arbitrary while their interpretation is highly contextual, dependent on policy targets and local conditions. These results can be extrapolated to other EU member states.

Policy recommendations for more efficient CE transitions are provided.

This research sheds light on the CE development in Croatia – an understudied European country in this context – and discusses the country's goals towards sustainability. The limited success of developed CE indicators is discussed.

This study, an exploratory one, aims to empirically investigate the association of national intellectual capital (NIC) with the national digital transformation readiness of the European Union's (EU’s) member states. Apart from building the conceptual model of NIC, this study explores the role of NIC dimensions in the digital divide between European countries.

Based on the literature review and the available EU statistical data and indexes, the theoretical framework and conceptual model for NIC were developed. The model explores the relation of NIC and its dimensions (human, social, structural, relational and renewable/development capital) on the readiness of European countries for digital transformation and the digital divide. Significant differences between EU countries in NIC and digital readiness were tested. Multiple linear regression was used to explore the association of each NIC dimension with digital transformation and digital divide within the EU.

Despite a positive association between all dimensions of NIC and digital transformation readiness, the proposed model of NIC was not confirmed in full. Regression analysis proved social capital and working skills, a dimension of human capital, to be the predictors of digital transformation at a national level, able to detect certain elements of digital divide between EU member states. Structural capital, knowledge and education, as dimensions of human capital, were predictors of the digital divide in terms of the integration of digital media in companies.

This research has a limited propensity for generalisation due to the lack of common measurement models in the field of NIC exploration.

This research offers policy makers an indication of the relationships between NIC and digital transformation, pointing out which dimensions of NIC should be strengthened to allow the EU to meet the challenges of digital economy and to overcome the digital divide between EU member states.

The use of digital technologies is key in creating active and informed citizens in the public sphere and productive companies and economic growth in the business sphere.

This study provides an original theoretical framework and conceptual model through which to analyse the relationship between NIC and digital transformation, which has thus far not been explored at the level of the EU. This research makes an original contribution to the empirical exploration of NIC and produces new insights in the fields of digital transformation and intellectual capital.