Purpose: The purpose of this study is to examine the operational efficiency of restaurants in a dynamic context, over the period 2011-2014. The paper also analyzes efficiency with respect to several frontiers and production technologies dependent on restaurant size. Finally, it provides a new perspective by examining financial and non-financial variables that can directly affect the efficiency of restaurant firms. Design/methodology/approach: The study applies metafrontier data envelopment analysis (DEA) methodology to investigate differences in production technologies, dynamic Tobit regression models and bootstrap procedure. Findings: The results reveal that operational efficiency in the restaurant industry is affected by firm size, showing that large restaurants perform better than medium-sized and small restaurants Moreover, the evidence suggests a link between the efficiency index and financial variables, such as credit ratings, probability of default or bankruptcy, leverage and cash flow, as well as a link with non-financial variables, such as type of auditor. Practical implications: The strength of restaurant firms has practical implications for managers and entrepreneurs, linked to the investment possibilities and growth potential of companies in that industry. Originality/value: This study provides exploratory insights into operational efficiency as well as restaurant efficiency determinants. Performance and operational efficiency are key factors to restaurant firms’ survival in the economies that have been most severely affected by the financial crisis. Furthermore, this study confirms the relevance of financial and non-financial variables, which are associated with firm efficiency in this industry.

Blockchain technologies are quickly changing the competitive business landscape. However, key stakeholders are still sceptical about how, when, and what blockchain might bring to their businesses. This study aims to analyse how blockchain might reshape the insurance industry from an economic and business perspective, as well as to identify which are the challenges and enablers that specifically affect blockchain adoption within this industry, through a Systematic Literature Review (SRL). We also classify existing challenges into five strategic areas: Social, Technological, Environmental, Economic, and Political. Additionally, we provide several recommendations to the manager on identifying the existing hurdles and smoothing transformation.

This study examines burnout syndrome, feelings of isolation, and sense of belonging in a sample of accounting tutors enrolled in e-learning and b-learning modalities before and after COVID-19 disruption. The study also includes several sociodemographic and labour variables to better understand the three dimensions. The participants were tutors enrolled in two accounting courses at higher education during the academic years 2019–2020 and 2020–2021. Our results do not show high levels of tutor burnout syndrome, neither before COVID-19 disruption nor after COVID-19 disruption. Findings also reveal that the isolation perception of accounting tutors is not high in both periods, while the sense of belonging of the teaching community is high in both periods. The evidence also suggests some variations in dimension scores according to sociodemographic and labour variables, but the evidence should be interpreted with caution due to the sample size. Despite this limitation, to the best of our knowledge, this is the first study that evaluates burnout, feelings of isolation, and sense of belonging in a tutor collective in e-learning and b-learning before and after COVID-19 disruption.

This study analyzes business performance through efficiency score estimation in two sustainable tourism models: cultural tourism and rural tourism. The study uses microeconomic data (microdata) of Spanish firms with different characteristics in terms of size, region, location and financial variables. Using multistage modeling (Data envelopment analysis, DEA, non-parametric frontier and non-parametric tests), the main results show that the average efficiency is higher for rural tourism destinations than for cultural tourism destinations. Similar to other tourism industries, efficiency results by geographical and regional destination confirm that location is a driver of the efficiency levels in rural and cultural tourism destinations. Furthermore, the results do not support the scale economies hypothesis: the average efficiency is higher for very small firms compared to other firm sizes, although the average efficiency for large firms is higher than that for medium-size firms. Regarding dynamic efficiency, the results reveal slight variations among the years examined, but the differences are not statistically significant. Finally, the study sheds light on the link between the efficiency of rural tourism and sustainable practices as the investment in environmental protection developed by regions during the period.