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Business and Economics
Abstract
This study investigates the technical efficiency of insurance companies in five Western Balkan countries between 2015 and 2022, using a two-stage double bootstrap data envelopment analysis (DEA). In the first stage, bias-corrected DEA efficiency scores are calculated. The second stage employs the bootstrapped truncated regression to investigate relationships between firm characteristics and these efficiencies. Our findings indicate that insurance companies in Serbia exhibit the highest level of technical efficiency, while their counterparts in Albania display the lowest level. Five key drivers of insurer efficiency are identified: firm size, specialisation, growth, solvency, and profitability, while the effect of ownership structure is not statistically significant. Further analysis of returns to scale indicates that most large and medium-sized insurers in Western Balkan countries operate under decreasing returns to scale (DRS). In contrast, most small insurers exhibit increasing returns to scale (IRS). This research contributes to a better understanding of factors influencing the efficiency of insurance companies in developing countries, with implications for insurance regulators, strategic management within the industry, and future research endeavours.
Abstract
This paper aims to contribute to the ongoing discussion surrounding the influence of institutions on the distribution of entrepreneurial talents across productive, unproductive, and destructive activities. Existing literature suggests that societies can exhibit purely destructive, unproductive, or productive entrepreneurship characteristics. Employing a game theoretic framework that integrates insights from entrepreneurship and institutional studies, we explore the dynamics of entrepreneurial talent allocation. Introducing an institutional parameter into the Prisoners' Dilemma Game, we clarify the mechanism by which a society transitions between different forms of entrepreneurship, contingent on the value of the parameter (ranging from −1 to +1). Our findings underline a continuous transition, revealing the prevalence of either a predominantly rent-seeking society or one characterized by productive entrepreneurship, with variations based on the proximity of the institutional parameter to perfection or imperfection.
Abstract
This study explores the diversity in the personality profiles of solopreneurs in high- and non-high-tech sectors during the initial business phase, driven by the need to determine whether sector-specific personality traits are crucial for entrepreneurial success. Utilizing the Big Five personality traits (BFPT), we analyze data on 4,470 solopreneurs from the IAB/ZEW Start-up Panel (2018 and 2019 waves). This study incorporates comprehensive Big Five personality, exploratory factor, cluster, and heatmap analyses. These methods reveal significant differences between solopreneurs and the general population, particularly regarding openness, conscientiousness, extraversion, agreeableness, and neuroticism. The analysis identifies three main industry sectors that reflect the range of entrepreneurial approaches. Despite sectoral diversity, Big Five profiles of entrepreneurs are homogenous, challenging the assumption that different sectors require distinct personality profiles. The findings underscore the importance of self-awareness and accurate self-perception in fostering innovation and making prudent decisions during the early stages of entrepreneurship.