With the shifting healthcare environment, the importance of public healthcare systems is being emphasized, and the efficiency of public healthcare systems has become a critical research agenda. We reviewed recent research on the efficiency of public healthcare systems using DEA, which is one of the leading methods for efficiency analysis. Through a systematic review, we investigated research trends in terms of research purposes, specific DEA techniques, input/output factors used for models, etc. Based on the review results, future research directions are suggested. The results of this paper provide valuable information and guidelines for future DEA research on public healthcare systems.

The study of environmental sustainability in the aviation industry mainly focuses on research targeting specific regions such as the United States, Europe, and China. However, for the environmental sustainability of the aviation industry, global airlines on all continents around the world must implement efficient environmental management. This study divides the world into six continents and attempts to verify environmental efficiency for airlines belonging to each continent. Using data from 2014 to 2018 of 31 global airlines, this study compares environmental efficiency in the aviation industry by continent and individual airline. Data envelopment analysis (DEA), which is actively used in efficiency studies was adopted as an analysis method. We find that, first, airlines in Europe and Russia have the highest environmental efficiency, and airlines in North America and Canada are the second highest, which can be a good benchmark for other airlines. Second, in technical efficiency (TE) values, airlines in Africa and the Middle East and Latin America generally have low efficiency; but, in the airlines in Africa and the Middle East, environmental efficiency is steadily improving slightly. In comparison, airlines in Latin America showed a decrease in environmental efficiency value, requiring a lot of effort and investment to improve efficiency. Third, for airlines in North America and Canada, the scale efficiency (SE) value was the lowest, even though there was a high level of overall environmental efficiency, indicating the need for efficiency improvement through economies of scale. This study has implications, in that, it suggests how airlines can perform efficient environmental management for sustainability according to the continent to which they belong.

This study analyzes the efficiency of supply chain quality management (SCQM) by grouping buyers and suppliers and conducting an empirical analysis of aspects affecting SCQM efficiency from the supplier’s perspective. Two stages of data analysis were conducted: (1) classify buyer and supplier efficiency by means of data envelopment analysis (DEA) and sort the data results into a2×2matrix and (2) conduct a statistical analysis to verify influential aspects. The results depict the average value of Group I to be higher than that of Group II, while the average value of Group IV was found to be much lower than that of Group III. In addition, specific aspects have a significant impact on certain groups: Groups I and II are affected by infrastructure, delivery of quality, talent development, and risk management in that order; Groups II and III are likewise influenced by risk management, talent development, and delivery of quality, whereas Groups III and IV are influenced by talent development, delivery of quality, and risk management in that order.

Purpose: The convergence of banking operations with advanced technologies is beyond technical and signifies the shift toward customer-centric banking experiences enabled through strategic service delivery. To that end, this study investigates the effects of AI-integrated banking services and corporate reputation on customers’ assessment and intention to recommend digitalised banking services (DBS). The study further examines the mediating role of DBS assessment and compares these relationships across customer groups distinguished by varying levels of financial literacy and attitudes toward promotional offers. Design/methodology/approach: Drawing on goal-framing theory (GFT), this study employs partial least squares structural equation modelling (PLS-SEM) and multi-group analysis to analyse data collected from 758 DBS users. The model incorporates both service-level factors and individual-level characteristics, including financial knowledge and attitudes toward promotional offers. Findings: The results reveal that AI-integrated services and corporate reputation significantly influence customers’ assessment of DBS, exerting both direct and indirect effects on recommendation intention. The influence of AI-integrated services is fully mediated by DBS assessment. Multi-group analysis further shows that customers with low financial knowledge rely more on corporate reputation, whereas those with high promotion attitudes are more responsive to AI-integrated services. Research limitations/implications: This study extends goal-framing theory to the context of AI-enabled banking by identifying the mediating mechanism of service assessment and exploring the moderating effects of customer traits. Practical implications: The findings offer actionable insights for financial institutions and policymakers. Clearer AI-related guidelines and digital finance education strategies can empower underserved users. Inclusive service design and trust-building strategies can enhance engagement among diverse customer groups. Originality/value: This study is among the first to jointly examine the effects of AI-enabled DBS design and corporate reputation on DBS recommendation intention while accounting for key customer characteristics.

The aim of this study is to examine the effect of changes in trade between Korea and Europe, as a result of the Korea-EU Free Trade Agreement (FTA), on Korean logistics companies’efficiency and productivity and, based on that, to explore the potential future effect of Brexit on Korea’s logistics industry. This study used 2011, the year that the Korea-EU FTA took effect, as the intervening year, to analyze the performance of logistics companies in two four-year periods and examined the Korea-EU FTA’s effect on Korean logistics companies’ efficiency and productivity. The efficiency of the Korean logistics industry has declined since 2011, when the Korea-EU FTA took effect, except for in 2014. In addition, the trend of company productivity in the Korean logistics industry was increasing during 2007-2015. This study proposes strategies for long-term operations of Korean logistics companies considering the Korea-EU FTA’s effect.