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The purpose of this paper is twofold: first, to validate the global competitiveness project (GCP) framework in the Brazilian context; second, to describe the competitiveness levels on a sample of Brazilian firms, searching for heterogeneities of size, age and industry.

The study used the theoretical-empirical GCP framework, comprising the dimensions: human capital, product, domestic market, networks, technology, decision-making, competitive strategy, marketing, internationalization and online presence (Lafuente, Szerb and Rideg, 2016; Lafuente et al., 2019) and applied descriptive statistics, correlation analysis, confirmatory factor analysis and cluster analysis, on a survey data set of 55 Brazilian firms from different sizes, ages and industries.

The GCP framework was found robust, reliable and useful in emerging economies as the Brazilian. Three clusters of competitiveness were identified. Heterogeneities were detected in knowledge-intensive business services results. This work allows a better understanding of competitiveness through the identification and measurement of dimensions, which can help managers to identify/audit capacities to plan/improve firm performance.

Findings may support managers to identify, estimate and manage their competitiveness pillars, and thus increase their competitiveness levels with a focus on strategic long-term goals.

This paper contributes to knowledge production in two ways: to the validation of the framework in the Brazilian scenario and the understanding of the dynamics of competitiveness of firms.

The purpose of this paper is to examine the firm-level drivers of competitiveness of the Czech small- and medium-sized enterprises (SMEs) using the complex firm-level competitiveness index. The authors explored the relationship between firm competitiveness and firm characteristics such as size, age, industry affiliation and location.

The complex competitiveness index as a proxy for firm competitiveness was calculated from the survey data. In total, 132 complete questionnaires filled in by representatives of randomly selected Czech SMEs were collected in 2018. Additional firm characteristics (size, age, industry affiliation and location) considered as determinants of competitiveness were obtained from the commercial database Albertina and from the Czech Statistical Office. The determinants of competitiveness were tested econometrically by estimation of multivariate regression models.

The authors mainly found a significant relationship between the firm size and competitiveness of the Czech SMEs. The authors have also confirmed that the least competitive enterprises are those operating in the agricultural sector and that regional location plays an important role in the determination of firm competitiveness.

The identification of competitiveness drivers can provide entrepreneurs, managers and policymakers with important implications. It seems beneficial for the Czech SMEs to expand the scope of operations to achieve a larger company size, for example, by focussing on investment activities, direct marketing, improving entrepreneurial skills or by applying an aggressive sales strategy, especially towards markets with lower competition. Politicians may respond to these efforts by setting the appropriate policies that promote SMEs’ competitiveness, for example, through the hard and soft public support for financial and human resources.

Although many studies on competitiveness have been published, there is still a limited number of firm-level studies looking at competitiveness from multiple angles rather than from the study of profitability and productivity. In contrast, the study uses a complex firm-level competitiveness index based on ten competitiveness pillars (technology, human capital, products, domestic market, networks, international markets, online presence, marketing, decision making and strategy) to capture the contribution of different resources and capabilities to firm competitiveness.

Purpose: The paper aims to examine the link between the indicators of competitiveness of World Economic Forums (WEFs) in the area of higher education, on the one hand, and the Global Competitiveness Index 4.0 and ‘Future Orientation of Government’ sub-pillar, on the other.

Method: Consideration of the link between the mentioned link will be conducted on a sample that includes European Union member countries and potential members. The key information basis for conducting this research makes data from the Global Competitiveness Report 2019 of the WEF. The research was conducted by applying multiple regression analysis.

Findings: The results of the research show that there is a positive correlation between higher education, on the one hand, and the level of national competitiveness and sustainable development, on the other.

Practical Implications: The obtained results of empirical research can serve as a ‘global benchmark’ of future public policy in the field of higher education in the analyzed countries.

Originality/Value: The key contribution of this paper is reflected in providing a clearer insight into the competitiveness factors of the analyzed countries that are expressed in the field of sustainable development and higher education and pointing out the priority activities of competent state authorities to their improving and raising the level of national competitiveness.

The purpose of this paper is to examine the importance of websites and social media platforms to find out how they contribute to the improvement of business performance. A new automated data collection method is developed to determine the technology maturity level of websites. These website quality indicators are linked to and compared against small and medium enterprise (SME) competitiveness data set to find competency pillars having significant impacts on the online presence, and to identify most important factors for online digital transformation. In this way, periodic analysis of websites can signal early warnings if competitiveness data of an SME is worth to refresh. Continuous maturity monitoring of competitors’ websites provides useful benchmark information for an enterprise as well.

A conceptual model was developed for the examination of the online presence and its effect on the competitiveness of small- and medium-sized businesses. An innovative, automatically generated WebIX indicator was developed through technical and content analysis of websites of 958 SMEs’ included in the Global Competitiveness Project (GCP) network data set. A series of ANOVA analysis was used for both data sources to determine the relationships between Web quality and competitiveness levels to define the online presence maturity categories.

Both the existence and the quality of the websites proved to have positive impact on the SME’s competitiveness. Different online presence maturity categories contribute to different competitiveness pillars; therefore, key factors of online digital transformation were identified. According to the findings, company websites are more related to marketing functions than information technology from the point of competitiveness.

Competency relationships were identified between online activity and competitiveness. The foundations of automated competitiveness measures were developed. The traditional survey based subjective data collection was combined with objective data collection methodology in a reproducible way.

The purpose of this paper is to identify the differences between Hungarian family-owned businesses (FOBs) and non-family-owned businesses (NFOBs) concerning the elements of SME competitiveness and financial performance.

The research covers the Hungarian data set of the Global Competitiveness Project (GCP, www.sme-gcp.org) of 738 (data collection between 2018 and 2020) non-listed SMEs, of which 328 were FOBs. The study uses the comprehensive, multidimensional competitiveness measurement of the GCP built on the resource-based view (RBV) and the configuration theory. Financial performance was captured with two composite indicators: short-term and long-term financial performance (LTFP). The comparative analysis between FOBs and NFOBs was conducted using binary logistic regression.

The results show that FOBs are more prone to focusing on local niche markets with higher longevity and LTFP than NFOBs. However, FOBs have lower innovation intensity and less organised administrative procedures. The most contradicting finding is that the FOBs’ higher LTFP is accompanied by significantly lower competitiveness than in the case of NFOBs.

This study goes beyond other GCP studies by including composite financial performance measures among the variables examined. The combination of performance-causing (resources and capabilities) and performance-representing (financial performance) variables provides a better understanding of the non-listed SMEs in terms of family ownership. The results help academia to enrich the RBV-competitiveness, the non-listed SME management and finance literature, and policymakers to design business development and support schemes. They also show future entrepreneurs the impact of family ownership on entrepreneurial success.

Whereas in developed countries, sustainability primarily focuses on environmental topics, in developing countries the issues of poverty, development and equity are equally, if not more, important. The purpose of this paper is to apply measures of social and environmental sustainability to assess sustainable development for the period 2005–2015 across a sample of 94 countries for which relevant data are available. Countries include two groups: developed and developing countries.

Using the index-based approach introduced by the World Economic Forum in its Global Competitiveness Project, a range of indicators are collected for estimating trends in both social and environmental sustainability. For the panel of data identified, a dynamic panel data estimator method is applied to the data set constructed. This paper presents the empirical results identifying key competitiveness factors related to social and environmental sustainability (separately and combining both aspects in a comprehensive sustainability framework).

This study explores how sustainable competitiveness offers a comprehensive assessment of the inter-related dynamics of the social, the environmental and economic building blocks of sustainable development simultaneously. Performance impacts are found to differ substantially across two groups of countries depending on their development level. This highlights the challenges in shaping and achieving sustainable development goals.

To the best of the authors’ knowledge, this research is novel in examining the intersections between economic competitiveness and environmental and social sustainability addressing an identified research gap. In addition, the paper investigates the most important competitiveness pillars focusing on both strengths and weaknesses in sustainable competitiveness across developed and developing countries.

Building on the resource-based view and the configuration theory, the purpose of this study uses a systemic and multidimensional competitiveness index (CI) i.e. that incorporates system constraints among the 10 competitive pillars that form the index to assess the competitiveness level and the connection between competitiveness and economic performance [return on assets (ROA)] in family businesses (FBs).

For the empirical application, the use a unique primary data set drawn from the global competitiveness project (www.gcp.org) that includes information for 77 Colombian FBs for 2017. Cluster analysis is used to evaluate the potential relationship between competitiveness, the configuration of competitive pillars and economic performance (ROA).

The results for the CI show that the main competitive strengths of the analysed firms are related to the introduction of product innovations and networks (suppliers and customers), while the limited use of technologies in their operations and the low online presence are the main competitive weaknesses of these firms. Additionally, the findings of the cluster analysis reveal that different configurations of competitiveness pillars are associated with different performance levels. Therefore, the results contribute to identifying how specific strategies aimed at improving different resources or capabilities contribute to enhance business competitiveness, and ultimately, performance.

By using an index number that takes into account the multiple interactions between resources and capabilities, the proposed analysis not only sheds light on the drivers of competitiveness i.e. resources and capabilities, and its connection to performance but also contributes to understanding the boundaries of the businesses’ competitiveness system, as well as the strategies that can potentially enhance competitiveness, and subsequently, business performance.

Competitiveness is a multidimensional construct, related to a number of external and internal company factors. This paper aims to provide empirical evidence on the relationship between the application of small- and medium-sized enterprises’ (SMEs) compensation incentives as an index/element of human system development and competitiveness.

A unique primary data set drawn from the Global Competitiveness Project on SMEs’ competitiveness was analysed, using cross-sectional data of 784 firms. First, descriptive statistics were used to show the data set peculiarities. Second, a forward logistic regression was applied to show the effects on the application of compensation incentives. A 25.1% of explanatory power was found by targeting the application of compensation systems by 7 firm-level principal factors and 30 control variables.

The findings suggest that there is a higher chance of the application of compensation incentives in cases when the employees possess a more substantial tacit knowledge and formal and informal relationship networks. It is also positively impacted by the higher level of intra-company manifestation of knowledge.

The research was conducted among SMEs from eight countries, based on a unique questionnaire designed for small enterprises. The respective countries are from Europe and Latin America, which serve as a reference category for Hungary. Also, there is a high level of 0 answers for the involved variables. The binary logistic regression methodology is suitable for filtering out some of these; nevertheless, the proportion of uncertain factors remains high as it is indicated by the explanatory power.

The majority of the literature is dealing with large companies in the topic of competitiveness, whereas in this data set, a deeper analysis was carried out among SMEs from eight countries, comparing their results to the Hungarian ones. The findings can be used as reference points for future studies, and the understanding of the HR cycle within SMEs.

This study evaluates the relationship between the entrepreneurial ecosystem and business competitiveness in four different contexts (i.e. France, Spain, Hungary and Costa Rica).

The study uses a sample of 348 manufacturing and knowledge-intensive business service firms operating in four countries with different entrepreneurial ecosystems (France, Spain, Costa Rica and Hungary) for 2019. Firm competitiveness is computed via the “benefit-of-the-doubt” (BOD) method, and a multilevel model is employed to assess the connection between the entrepreneurial ecosystem and firm competitiveness.

The results of the multilevel model indicate that the entrepreneurial ecosystem is related to firm competitiveness, while the BOD results suggest that firms operating in settings with a more consolidated entrepreneurial ecosystem are better able to realize the outcomes of strategic choices linked to the exploitation of key resources and capabilities. Country-specific results suggest that “human capital” is the most relevant competitive pillar prioritized by all sampled businesses.

The proposed analysis of the connection between the entrepreneurial ecosystem and business competitiveness in different contexts contributes to the development of the entrepreneurial ecosystem frame by offering insights into how the properties of the entrepreneurial ecosystem (i.e. interactions among individuals, organizations and institutions) can produce economically meaningful effects on business performance.

Highlighting the important role of managerial action in resource orchestration, the purpose of this paper is to explore how differences in managerial perceptions about the strategic relevance of resources and capabilities influences the resource configurations in SMEs from an emerging economy context.

Using a survey-based instrument that was developed by the Global Competitive project (www.gcp.org), the authors identify 62 Mexican SMEs and perform a cluster analysis based on firm size and age and estimate the competitiveness of the SMEs in each cluster.

The results of our cluster analysis indeed suggest the existence of four configurations of SMEs based on the managerial perceptions of the value creating potential of the different resources and capabilities at the firms' disposal. The authors find evidence that managerial perception of the strategic relevance of resources and capabilities at a firm's disposal could influence firm-level competitiveness. Managers of firms that perceive high value or importance to the resources and capabilities, considered the ten resource pillars for competitiveness in this study, are also likely to be the most competitive.

This study is exploratory in nature and intends to provide an initial and more descriptive analysis of SME competitiveness in an emerging economy context. Additionality, the study does not take into account the effect of industry membership.

The choice of an emerging economy that are often characterized by asymmetric information and informal rules and regulations provides an original context for an understudied area of research in firm-level competitiveness.