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As the global economy continues to boom, there remains a significant need for more efficient transportation and effective management in corporate logistics. In this regard, railways have been considered one of the most efficient modes for long distance transportation. In Asia, there are several extensive and direct railroads such as the TSR (Trans-Siberian-Railroad), the TCR (Trans-Chinese-Railroad) and the TMR (Trans-Mongolian-Railroad) which could connect Asia to Europe. If these railroad networks such as the TKR (Trans-Korean-Railroad) were fully operational, it is expected that they would replace a major portion of the current global trade transportation with is sent through other shipping methods. Therefore, the development of railroad networks is one of the most important steps toward an integrated international transportation system. However, in reality, it is difficult to achieve this vision because of the political and economic problems surrounding multiple countries that this network must cut across. Moreover, it is difficult to ensure the railways’ economic competitiveness when it is compared with other logistics options. In this study, we aim to discover the status quo about railway networks by focusing on the TCR and TSR. Through in-depth interviews and surveys with actual users of these networks, current issues and problems are analysed in order to make suggestions for improvements. This research also provides meaningful insights which the TKR-TSR and TKR-TCR railway networks should consider if they want to continue to be successful in the future.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

China is currently developing and promoting an industrial cluster policy at the government level. By enacting the ‘Opinion on promoting industrial cluster development’, China is supporting the development of industrial clusters. Building an industrial cluster is done by using a single factor but requires many additional factors like regional characteristics, competitiveness factors are also diversified. To evaluate the competitiveness of the Chinese automobile industry cluster, a competitiveness element index should be developed and a competitiveness evaluation method is needed to evaluate the importance of each element. To accomplish this objective, this research applied the analytic hierarchy process (AHP) and focused on the importance of the competitiveness elements.

This research investigated the character is tics regarding cases of clusters and also analyzed the competitiveness of the Changchun automobile cluster located in northeastern China. The purpose of this research is to help Korean enterprises who enter China in the hopes that Korea will emerge as a top automobile production country.

The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the literature. Many studies have discussed phenomenological benefits of data to service. However, limited research describes managerial issues behind such benefits, although a holistic understanding of the issues is essential in using data to advance service in practice and provides a basis for future research. The purpose of this paper is to address this research gap.

“Using data to advance service” is about change in organizations. Thus, this study uses action research methods of creating real change in organizations together with practitioners, thereby adding to scientific knowledge about practice. The authors participated in five service design projects with industry and government that used different data sets to design new services.

Drawing on lessons learned from the five projects, this study empirically identifies 11 managerial issues that should be considered in data-use for advancing service. In addition, by integrating the issues and relevant literature, this study offers theoretical implications for future research.

“Using data to advance service” is a research topic that emerged originally from practice. Action research or case studies on this topic are valuable in understanding practice and in identifying research priorities by discovering the gap between theory and practice. This study used action research over many years to observe real-world challenges and to make academic research relevant to the challenges. The authors believe that the empirical findings will help improve service practices of data-use and stimulate future research.

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.

Discussion of unification was for several decades focused on the costs rather than the benefits for Korea, until reports emphasizing the latter were published by Goldman Sachs (2009) and various Korean think tanks over the past four to five years. Although these studies can be evaluated positively in pointing out the benefits of unification rather than the concerns about the costs, several questions can be raised. This paper tries to evaluate the quality and credibility of existing studies and suggests a new approach for estimating the impact of unification. It proposes a computational general equilibrium (CGE) model to be based on the social accounting matrix (SAM) and input-output (IO) table for the North Korean economy, in order to produce more reliable estimates of the benefits and costs of unification and the impact of various cooperative activities between the two Koreas.

This study examined how audience characteristics and attitudes relate to their perceptions of sincerity and forgiveness of apologies by public figures posted on YouTube.

Four hundred twenty-seven adult participants recruited through Amazon's Mechanical Turk completed an online survey via Qualtrics. Participants were randomly assigned to view two of four public figure apologies posted on YouTube.

Results indicated that audience fandom and perceived reputation and attractiveness of the public figure were related to perceptions of sincerity and forgiveness; and perceptions of sincerity and forgiveness were related to intentions of future support.

“Sameness” between the public figure and audience did not garner a more favorable response to the apology, and this is not consistent with earlier studies. For race similarity, the results could have been a reflection of the low number of non-White participants. However, results could indicate that “sameness” is not as simplistic as demographic sameness, such as race, sex or age.

The authors’ findings elevate the importance of gathering and benchmarking pre-crisis attitudinal research to better equip and inform communication professionals for crisis response. In addition, the study suggests that a public figure's strong reputation and fanbase provide a type of inoculation, lessening reputational damage.

The finding that perceived attractiveness relates positively to perceptions of sincerity and forgiveness is consistent with psychological research indicating attractiveness has many positive social implications – even in mediated communication.

Evidence suggests social media apologies matter. Communication professionals need to approach apology opportunities with a keen awareness that relational outcomes and intentions of future support can shift based on social media audiences' attitudes related to the public figure.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.