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Data envelopment analysis (DEA), which is frequently used in efficiency analysis, has also been applied to the measurement of entrepreneurial efficiency for the attainment of desired values of macroeconomic indicators (such as the objectives of sustainable economic growth). For this application, DEA takes into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. This paper aimed to investigate the potential for a scalable (in diversity, equity, and inclusion dimensions) DEA application in sustainable entrepreneurship performance (SEP) assessment through three channels (assessing SEP without ESG activities; ESG→SEP; ESG (DEI)→SEP) and present an empirical study related to economic growth assessment and its environmental, social, and governance (ESG), and diversity, equity and inclusion (DEI) determinants across selected Western Balkans (WB) and European Union (EU) companies, based on the use of the proposed scalable DEA. It highlights how crucial a scalable nonparametric approach to macroeconomic efficiency analysis is and provides a more comprehensive perspective to the researchers on this issue. This study used a non-oriented DEA model with variable return-to-scale in a group of 60 WB and 60 EU companies, all of which adopted ICT/Blockchain (BC) technologies (the 11 ESG metrics). The annual corporate data was collected for seven years from 2017 until 2023. We projected the selected data to three country particularities (mass acceptance, adoption, and implementation of ICT/BC; mass labor force return from overseas; and ethnic, cultural, and religious particularities) and performed statistical analysis. Our findings estimate the influence of these three particularities on economic growth potential. In all countries’ cases, we found a statistically sound (significant, positive) correlation between ESG and SEP’s economic growth quality performance. Particularly, when corporate social and DEI initiatives mediate (channel III), SEP’s economic growth gains the best performance (+18%) in countries with ethnic, cultural, and religious particularities (BiH, NM), a +17% in countries enjoying massive labor force return from overseas (AL) and performs well in quality (particularly in the innovation and integrity) SEP performance success dimensions (all WB and EU countries). The proposed scalable DEA shows clearly, by performing an empirical analysis, which modern business (adopting ICT/BC) is the most effective in achieving sustainability projected to country particularities, helping corporate management to improve economic growth efficiency.
Data envelopment analysis (DEA), which is frequently used in efficiency analysis, has also been applied to the measurement of entrepreneurial efficiency for the attainment of desired values of macroeconomic indicators (such as the objectives of sustainable economic growth). For this application, DEA takes into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. This paper aimed to investigate the potential for a scalable (in diversity, equity, and inclusion dimensions) DEA application in sustainable entrepreneurship performance (SEP) assessment through three channels (assessing SEP without ESG activities; ESG→SEP; ESG (DEI)→SEP) and present an empirical study related to economic growth assessment and its environmental, social, and governance (ESG), and diversity, equity and inclusion (DEI) determinants across selected Western Balkans (WB) and European Union (EU) companies, based on the use of the proposed scalable DEA. It highlights how crucial a scalable nonparametric approach to macroeconomic efficiency analysis is and provides a more comprehensive perspective to the researchers on this issue. This study used a non-oriented DEA model with variable return-to-scale in a group of 60 WB and 60 EU companies, all of which adopted ICT/Blockchain (BC) technologies (the 11 ESG metrics). The annual corporate data was collected for seven years from 2017 until 2023. We projected the selected data to three country particularities (mass acceptance, adoption, and implementation of ICT/BC; mass labor force return from overseas; and ethnic, cultural, and religious particularities) and performed statistical analysis. Our findings estimate the influence of these three particularities on economic growth potential. In all countries’ cases, we found a statistically sound (significant, positive) correlation between ESG and SEP’s economic growth quality performance. Particularly, when corporate social and DEI initiatives mediate (channel III), SEP’s economic growth gains the best performance (+18%) in countries with ethnic, cultural, and religious particularities (BiH, NM), a +17% in countries enjoying massive labor force return from overseas (AL) and performs well in quality (particularly in the innovation and integrity) SEP performance success dimensions (all WB and EU countries). The proposed scalable DEA shows clearly, by performing an empirical analysis, which modern business (adopting ICT/BC) is the most effective in achieving sustainability projected to country particularities, helping corporate management to improve economic growth efficiency.
Monitoring a company's efficiency is one of its primary responsibilities. There are many approaches in our contemporary society that either use IT or the conventional technique. Methods for measuring efficiency fall into three primary categories: parametric, nonparametric, and ratio indicators. We prioritize a firm's inputs and outputs when choosing metrics to measure efficiency. Establishing objectives and goals in entrepreneurship necessitates a thorough comprehension, appreciation, and knowledge of sustainability, and assessing the economic growth quality of a corporation is an essential task for theoretical and empirical sustainability assessment. When measuring the efficiency of entrepreneurship in terms of achieving desired values of macroeconomic indicators (e.g., sustainable economic growth objectives), data envelopment analysis (DEA), a widely used technique in efficiency analysis, has taken into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. The objective of this paper is to test the influence of FinTech/Blockchain adoption on corporate ESG and DEI performances using a novel DEA approach for sustainable development assessment. It highlights the significance of using a scalable technique for ESG efficiency study and gives scholars a more thorough viewpoint on the subject. In a collection of 50 enterprises, a DEA model was utilized for the analysis. For sustainable performance assessment using the proposed DEA technique, we defined as inputs six financial metrics, and as outputs 11 ESG/Blockchain adoption, and four DEI quality metrics to measure the firm’s efficiency. The annual business data was gathered between 2017 and 2023. In all country situations we discovered that, when DEI initiatives mediate, there is a strong correlation between ESG corporate performance and the quality of economic growth (particularly in the innovation and integrity blockchain adoption performance success metrics). Our study provides additional in-depth details on the FinTech/blockchain adoption environment in comparison to the findings of previous researchers. The sustainable entrepreneurship performance (a latent variable regarded as a dependent target factor) is calculated using eight (8) factors as observed variables, which is the first to consider the dynamics of ESG/BCA and DEI quality metrics as DEA outputs. The study also examines the mediating role of DEI corporate initiatives. By conducting an empirical investigation, the suggested scalable framework makes it evident which company is more efficient in moving toward sustainability, assisting corporate management in increasing the effectiveness of economic growth.
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