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To identify sources of the success and failure of COVID-19 control measures and develop best-practice public health policy in mitigating the spread of COVID-19, this paper aims to evaluate the efficiency of various combinations of government COVID-19 control measures among OECD countries. This paper also identifies which factors critically influence the efficiency of COVID-19 control measures.

This paper employed two-stage network SBM (slacks-based measure of efficiency) models with variable returns-to-scale and constant returns-to-scale, respectively, among various forms of data envelopment analysis (DEA) models. As a post hoc analysis, the authors used Tobit regression for examining the causal relationship between a nation's cultural dimensions and its COVID-19 control measure's efficiency scores.

The authors found that the pervasive less individualistic and higher uncertainty avoiding culture positively influenced the efficient control of COVID-19 outbreaks since such a culture helped the government impose its mandatory COVID-19 control measures without people's strong resistance to those measures.

Many public health policymakers are wondering why COVID-19 control measures are not effective in coping with the COVID-19 outbreaks. This paper helps the government find the most efficient combination of COVID-19 controls measures for curbing the spread of the stubborn coronavirus. This paper is one of the first attempts to identify pandemic risk mitigation factors from a cultural perspective.

Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the importance of coffee shop branding, this study investigates the role of personality traits and congruity in the formation of brand loyalty. This study finds that personality traits have direct effects on congruity and customer satisfaction, the two defining factors of brand loyalty. Overall, our results suggest that the interaction of personality traits, congruity, and satisfaction is essential to the process of influencing coffee shop customers’ brand loyalty.

Motivated by the news media and a lack of comprehensive research on the USA, the purpose of this paper is to examine the relationship between changes in road fatalities and gasoline prices, per capita disposable personal income, alcohol consumption per adult, blood alcohol concentration (BAC) limits and gender.

This study employs both static and dynamic panel data models, making use of annual data over the 2000–2013 period collected from the 50 states of the USA and the consistent system GMM estimators of the parameters, to estimate the impact of these variables on fatalities per 100,000 persons and per 100,000 vehicles.

The results highlight the importance of gasoline prices in determining the level of road fatalities, underscoring that a 10 percent decrease in gasoline prices leads to a 248 increase in the total number of road fatalities, but with many more injuries. Increases in the female-to-total driver ratio have a greater significant positive impact on road fatalities where a 10 percent increase in this ratio increases road fatalities by 1,008 deaths. Increases in registered vehicles per capita also increase the number of fatalities. Other variables such as alcohol consumption per adult and BAC limits are not as important. Policy implications are also provided.

The results of this study highlight the importance of gasoline prices in determining the number of road fatalities. This factor can be an effective policy measure by which policymakers can offset increases in fatalities due to further drastic declines in future gasoline prices. But the effects of the gasoline prices in determining the number of road fatalities are not as strong as the media would lead us to believe. The media ignores the impact of other factors on fatalities, which results in an overestimation of the impact of gasoline prices.

This study uses the panel data of 50 US states and the dynamic panel data model. In addition to gasoline price effects on the road fatalities, this study also considers other factors such as gender, gasoline taxes, per capita disposable personal income, per capita alcohol consumption, BAC limits and number of registered vehicles.

This paper aims to present a multi-fidelity surrogate-based optimization (MFSBO) method for computationally accurate and efficient design of microfluidic concentration gradient generators (µCGGs).

Cokriging-based multi-fidelity surrogate model (MFSM) is constructed to combine data with varying fidelities and computational costs to accelerate the optimization process and improve design accuracy. An adaptive sampling approach based on parallel infill of multiple low-fidelity (LF) samples without notably adding computation burden is developed. The proposed optimization framework is compared with a surrogate-based optimization (SBO) method that relies on data from a single source, and a conventional multi-fidelity adaptive sampling and optimization method in terms of the convergence rate and design accuracy.

The results demonstrate that proposed MFSBO method allows faster convergence and better designs than SBO for all case studies with 49% more reduction in the objective function value on average. It is also found that parallel infill (MFSBO-4) with four LF samples, enables more robust, efficient and accurate designs than conventional multi-fidelity infill (MFSBO-1) that only adopts one LF sample during each iteration for more complex optimization problems.

A MFSM based on cokriging method is constructed to utilize data with varying fidelities, accuracies and computational costs for µCGG design. A parallel infill strategy based on multiple infill criteria is developed to accelerate the convergence and improve the design accuracy of optimization. The proposed methodology is proved to be a feasible method for µCGG design and its computational efficiency is verified.

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance.

The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain.

In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain.

In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance.

Assuming the supply chain, composed of supplying company, manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing.

This paper aims to develop a balanced scorecard for measuring the comparative efficiency of Korean luxury hotels and then set the benchmark of performance standards for Korean luxury hotels in the increasingly competitive hotel industry. It also aims to identify the root causes of inefficiencies and then propose ways to improve the competitiveness of Korean luxury hotels.

This paper proposes data envelopment analysis (DEA) to measure the comparative efficiency of six luxury hotel chains in Korea, relative to prior periods and their key competitors. In particular, this paper develops the Charnes, Cooper and Rhodes (CCR) model that is designed to derive weights without being fixed in advance. Also, the results of the CCR model with constant returns to scale were compared to those of the Banker, Charnes and Cooper (BCC) model with decreasing returns to scale.

The paper finds that the declining efficiency within some Korean luxury hotels coincides with more aggressive government crackdowns on bad bank loans in the wake of the International Monetary Fund (IMF) financial crisis and the slow adaptation of some hotels into ongoing hotel industry restructuring. The deep discount in hotel room rates did not necessarily lead to increased room occupancy. The revenue increase is not significantly correlated with the enhanced profitability of Korean luxury hotels. The Korean hotel industry reached the stage of market maturity and therefore the mere expansion of the hotel capacity would not necessarily enhance the hotel's profitability.

This paper uncovers the financial weaknesses and strengths of the Korean luxury hotels and identifies challenges and opportunities for the Korean hotel industry. In addition, it helps Korean hotels formulate the future survival strategies by providing the detailed picture of where they stand in terms of competitiveness. This paper is one of the first attempts to utilise DEA to develop performance measures for hotels under the balanced scorecard framework. The proposed DEA can be easily modified or extended to similar settings in other hotels such as budget hotels or other countries such as USA and Japan.

The maritime freight transportation industry has played an important role in the Korean economy. The Korean maritime freight transportation industry is faced with a period of transforming it competitively and efficiently in this global age. This paper, therefore, aims to identify the impact of the maritime freight transportation industry in the Korean national economy. Hence, this paper provides policy-makers with accessible and reliable information regarding the role of the Korean maritime freight transportation industry. This study employs input-output (I-O) analysis to examine the role of the maritime freight transportation industry in the national economy for the period 1995-2003, with specific application to Korea. This study pays particular attention to the maritime freight transportation industry by taking the industry as exogenous variable and then investigates its economic impacts. We identify inter-industry linkage effects in 20 sectors, production-inducing effects, added value-inducing effects, and supply-shortage effects of the maritime freight transportation industry.

This study investigates the structural relationships among humor leadership, psychological empowerment, innovative behavior, and job performance in the Korean hotel industry. This study reveals following key major findings. First, a leader’s use of humor in leadership significantly and positively influences an employee’s psychological empowerment. Second, an employee’s psychological empowerment significantly and positively influences innovative behavior and job performance. However, innovative behavior does not significantly influence job performance. In the final section, theoretical and managerial implications are discussed.

This paper discusses a case of truck sharing as an application of the sharing economy. This case study examines a real mixed feed company with multiple factories. In this company’s operation, bulk trucks located in a factory had not previously been shared for delivery with other factories to their pre-assigned customers of stock farms. Therefore, this paper suggests a new delivery system that facilitates truck-sharing and analyzes its effects on the transport cost and trucks’ CO₂ emissions. To this end, this paper develops vehicle routing models to represent the current delivery practice and the new truck-shared delivery (TSD). In addition, models are developed for a carbon control policy of an emission trading scheme (ETS) and the effects of the ETS on truck-sharing are investigated. Numerical analysis is conducted to identify the effects of the TSD and the carbon control policy and draw practical implications.