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This paper evaluates and assesses the competitiveness of airports by analyzing the efficiency of those in Northeast Asia. This research implemented Data Envelopment Analysis (DEA) to compare the competitiveness of airport efficiency and Decision Making Unit (DMU), which was selected by the top ranking freight operations among the airports in this region. Due to the lack of previous research with regard to the competitiveness of hub concentrated airports in air cargo volume, the variables have been screened for selection through referential documents and records related to air freight. Finally, aviation freight experts assisted in the final selection of the relevant variables for this research. The result of the analysis show that the larger airports in Northeast Asia are positively correlated with higher efficiency. In contrast, inefficient airports have suffered from over capacity or insufficient input.

This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies have largely implemented unweighted (binary) network analysis, or have constructed a weighted network, limited by unweighted centrality measures. This study applies weighted centrality measures (mean association [MA], triangle betweenness centrality [TBC], and weighted harmonic centrality [WHC]) to represent traffic dynamics in HSR and air transportation weighted networks, where nodes represent cities and links represent passenger traffic. The spatial distribution of centrality results is visualized by using ArcGIS 10.2. Moreover, we analyze the network robustness of HSR, air transportation, and multimodal networks by measuring weighted efficiency (WE) subjected to the highest weighted centrality node attacks. In the HSR network, centrality results show that cities with a higher MA are concentrated in the Yangtze River Delta and the Pearl River Delta; cities with a higher TBC are mostly provincial capitals or regional centers; and cities with a higher WHC are grouped in eastern and central regions. Furthermore, spatial differentiation of centrality results is found between HSR and air transportation networks. There is a little bit of difference in eastern cities; cities in the central region have complementary roles in HSR and air transportation networks, but air transport is still dominant in western cities. The robustness analysis results show that the multimodal network, which includes both airports and high-speed rail stations, has the best connectivity and shows robustness.

The strategic location of city logistics facilities may help to establish more efficient urban logistics systems, reduce social and environmental costs of urban freight transport, and improve urban traffic conditions. In addition, it may allow a number of shippers or freight carriers to jointly operate freight vehicles and terminals or information systems while allowing them to have the capability to provide higher levels of services to their customers. This paper considers the problem of selecting a location for a city logistics facility while considering linguistic factors. This paper identifies the important factors in the selection of a location for a city logistics facility by performing a case study which applies the analytic hierarchy process method on data from Chongqing, China. The optimal location in Chongqing is then determined by using the fuzzy synthetic evaluation method. The results of this paper are expected to help municipal governments select appropriate locations for city logistics facilities and quantify the advantages and disadvantages of alternative locations.

Previous approaches have employed the SCOR model for evaluating supply chain management, and in particular, have focused on cash-to-cash cycle time (C2C). This paper reviews the Supply Chain Index (SCI) developed by Supply Chain Insight LLC, which evaluates supply chain performance based on balance, strength, and resiliency. The main aim of this study is to review SCI as a new methodology to measure performance management, as well as to apply C2C for a case study of Korean firms, to compare and present differences for further complementary application.

This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.

This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.

Recently, due to its passive property, the smart beta has become one of the most interest topics in searching the alpha. In this paper, we attempt to show whether the smart beta strategy generate abnormal excess return, in tradition, which are known as the exclusive property of active fund. Further, we attempt to verify the key drivers of the alpha in the smart beta portfolios. For this purpose, we categorize various smart beta strategies by their scheme for asset picking and risk reduction. Then, based on our categorization, we evaluate and analyze the performance of smart beta strategy in perspective. Our empirical analyses show following results: applying alternative risk reduction scheme to traditional market index portfolio would results in enhanced efficiency; however, without combining any asset picking scheme, the performance of the smart beta portfolio seems explained by the Fama-French 3 factor. Our results lead us to conjecture that it is not the portfolio weighting scheme alone but in association with asset selection scheme that generate significant alpha in the smart beta strategy. In actual practice, our results imply that any passive fund may succeed in seeking the alpha without active strategy, thereby avoiding the risk of market timing and saving the management cost.

This editorial establishes the broader context for debating how the COVID-19 pandemic is affecting the global supply chains, logistics, and transportation networks in the world. The COVID-19 pandemic is an unknown-unknown risk whereby the probability of its occurrence and the possible consequences of a risk event cannot be foreseen. Furthermore, the characteristics of COVID-19 differentiate it from previous disasters in terms of the geographic scope of the impact, and the supply- and demand-side impacts, and are making relevant research challenging. In this special issue, the interwoven relationships between the COVID-19 pandemic and the challenges facing global supply chains, logistics, and transportation are discussed, along with a literature review. Selected papers on air transportation networks, emergency logistics, and digital trade are theoretically and empirically probed.

This paper aims to identify the relationship between participation motivation, satisfaction and exercise adherence intention of golf range users on the basis of self-determination theory.

For this purpose, the authors proposed research questions and a conceptual research model as well. Then, the authors surveyed users of golf ranges located in Seoul Metropolitan City and Gyeonggi-do province.

By applying convenience sampling, the authors received a total of 313 questionnaires. Results were as follows. First, among the participation motivation sub-factors, health-oriented motivation, achievement motivation, pleasure-oriented motivation and self-displayed motivation had a significant effect on emotional satisfaction, while achievement motivation and pleasure-orientation motivation had a significant effect on performance satisfaction. Second, the following participation motivation factors had a significant effect on exercise adherence intention: health-orientation motivation, achievement motivation and pleasure-orientation motivation. Third, among the satisfaction factors, emotional satisfaction and performance satisfaction both had a significant effect on exercise adherence intention.

This is one of the first papers to examine the relationships that exist between golf range users’ participation motivation, satisfaction and exercise adherence intention.

Using panel data on gasoline and grocery transactions in Korea, the purpose of this paper is to empirically explore the effect of a retail chain store’s establishment of on-site fuel sales. The empirical analyses present strong empirical evidence that the sale of fuel had statistically and economically significant effect on retail store traffic and revenue in the short run. However, the effect did not remain significant in the longer run. To explain the dramatic decrease in the effect of the fuel sale, the authors consider the enhanced competition in the local gasoline retail industry and examine cross-sectional price variations at the station level. The results suggest that the increased competition led to the reduction in the price dispersion across stations and thereby to an increase in consumer welfare.

Using a linear specification that has traditionally been used to model retail chain data, the authors developed a series of difference-in-differences models. This technique is ideal for estimating the effect of a treatment in the presence of possible selection bias and has been widely employed in many social-science studies on policy intervention.

In a certain environment, introducing fuel sales did not increase retail chain store traffic or revenue in the long run, despite having statistically and economically significant effects in the short run. The results document empirical evidence of myopic management in a common marketing practice, which often leads to a negative impact on the firm value in the long run.

The span of data and sample size were limited to meet the company’s data protection policy.

Considering that many of developed countries are characterized by a gasoline retail environment similar to that which is investigated in this paper, the authors believe that the implications of the results are particularly valid for practitioners and policy makers.

The findings document empirical evidence of myopic management in a common marketing practice, which often leads to a negative impact on the firm value in the long run. Marketing researchers should make efforts in establishing metrics to help identify myopic management decision.

This paper addresses an interesting and practical issue related to the effects of the introduction of gasoline sales by a supercenter store on its store traffic.