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The purpose of this paper is to assess trading strategies adopted by each large trader group and examine their effects on the volatility in the interest rate futures markets.

The Grinblatt et al.'s (1995) measure of momentum strategy is used to estimate the degree momentum and contrarian strategies. Then, regression analysis is used to determine the effects of trading strategies on volatility.

Up until 2005, the trades by non-clearing member firms in the futures market were separated from institutional traders providing us the opportunity to study trading strategies adopted by large distinct trading groups and its effects on volatility in the futures markets. It is found that individual traders use momentum strategy, whereas market makers and institutional traders use contrarian strategy. Momentum strategy adopted by individual traders increases volatility whereas contrarian strategy dampens volatility. Moreover, it is found that institutional traders engage more actively in contrarian trading when individual traders cause excessive volatility. The two distinct trading groups were separately tracked prior to 2005 giving us a unique window to determine the effect of the traders that conduct momentum trading as opposed to the ones that are contrarian traders. After the reclassification, the institutional trading group exhibited weaker contrarian strategy which can be attributed to the inclusion of non-clearing firm traders.

This study documents the first empirical evidence that shows off-exchange futures trader group is not composed of only pure noise makers, but there are short-term forecasters in its group. The authors also show a unique finding that noises caused by off-exchange group is from momentum strategy that they use, whereas contrarian strategy is used by institutional trader lower volatility.

This paper aims to identify consumer preferences before Dongchimi products are commercialized and brought to the market. It provides basic data for research and development of Dongchimi products, examining consumer preferences for general products and purchase intentions based on eating-out behavior, dietary lifestyle and demographic characteristics. Finally, the study examined male and female consumers more than 18 years old who have eaten Dongchimi, particularly their consumption behavior.

This study was based on preliminary in-depth interviews of consumers to investigate consumer Dongchimi consumption behavior. The authors examined their demographic characteristics, dining-out behavior, dietary lifestyles, how often they buy pickled products and the circumstances in which they consume Dongchimi products. Various statistical analyses were performed with SPSS 18.0, including frequency analysis of the general characteristics of subjects, chi-square test for difference verification as well as factor analysis and cluster analyses.

More than half of the respondents eat Dongchimi products only once or twice every six months or once or twice a year. Consumers prefer Dongchimi’s glass bottle packaging with two to three servings of white radish, the original version of Dongchimi. Furthermore, cross-analysis comparing purchase intentions of Dongchimi products among clusters revealed significant differences (χ2 = 212.58, df = 2, p < 0.001). The group most concerned with taste and diet showed 100 per cent purchase intention. However, the group most interested in convenience showed only 50 per cent purchase intention for Dongchimi products. The group primarily concerned with health showed little intention to purchase.

Food scholars have investigated consumption behaviors of domestic consumers in developing kimchi products, but research on Dongchimi is lacking, especially of consumption behaviors by actual consumers. Using certain determinants (marital status, expense of dining out, frequency of buying pickled products and food-related lifestyle), the authors analyzed the purchasing intentions of consumers of Dongchimi products. The results show that married consumers who spend heavily on dining out and purchase pickled foods frequently, but who are also concerned about taste and diet, were those with the highest intention to purchase Dongchimi products.

This study aims to develop a conceptual model of service climate in hospitality, which tests its relationship with psychological capital (PsyCap), quality of work life (QWL) and turnover intention.

Data were collected among hotel employees by using an intercept approach and Qualtrics online survey system. Structural equation modeling examined the hypothesized relationships among the constructs in the conceptual model.

Service climate showed a positive relationship with PsyCap and QWL, and PsyCap partially mediated this relationship. Employees’ level of PsyCap had a powerful impact on QWL. Specifically, employee QWL was a critical mediator (full mediation) between service climate and turnover intention. Finally, PsyCap and QWL showed combined mediating effects between service climate and turnover intention.

This study extends the service climate literature in hospitality by offering a new conceptual model representing employees’ perceptions of service climate that influence their willingness to leave the organization with the mediating effects of PsyCap and QWL based on the theory of work adjustment.

The theory of work adjustment provides a deeper understanding of how employees’ perception of service climate affects their turnover intention in hospitality, based on a sample of hotel employees.

This study demonstrates the importance of service climate in understanding the turnover intention of hotel employees.

The primary objective was to develop a user-centered mobile health application (app) tailored to the specific health information needs of among immigrant women from diverse backgrounds in Korea.

In-depth interviews were conducted with 24 immigrant women to gain insights into their health information-seeking behavior. Based on the findings, a mobile app was designed and developed. A beta version of the app underwent validation by an MD and seven expert reviewers who assessed the app for content accuracy and conformance to mobile heuristics. Last, immigrant women (n = 12) evaluated the usability of the app.

The study revealed that the interviewed immigrant women had strong health information needs related to pregnancy and parenting. Most of them used multiple sources to find and verify health information. Language barriers were identified as a major obstacle to accessing and evaluating health information. The results of the user test indicated that the app effectively facilitated study participants' search for reliable health information, meeting their specific needs.

This research extended the literature by addressing the limited availability of mobile apps tailored to the health information needs of immigrant women in Korea.

By incorporating multilingual support and focusing on pregnancy and parenting information, the health app serves as a valuable tool to bridge the gap in health information access and to facilitate the well-being of immigrant women in the country.

Building on neo-institutionalism models of the transfer of human resource management (HRM) practices within multinational companies, this paper aims to analyze the transfer of skill formation concepts using the cases of two automotive OEMs in Slovakia. The purpose of the paper is twofold. First, it aims to explain the differences between the two multinationals. Second, it builds on the empirical analysis to reconsider the neo-institutionalist theoretical framework.

The paper is based on two qualitative case studies of automotive multinationals in Slovakia. The home country locations of both companies represent different approaches to skill formation: systematic vocational education for blue-collar workers is regarded as crucial at the German manufacturer, while the Korean company relies mainly on on-the-job-training and puts much less emphasis on skilled blue-collar work.

The paper shows that the differences between the companies are related to different understandings of technology/automation. It argues that the increasing automation and the decentralization of responsibilities for the product-launch processes supported the transfer of German skill formation concepts to the plant in Slovakia, while the Korean manufacturer’s specific engineering-led automation concept and centralization of product launch responsibilities in its Korean headquarters reduced the need to invest in skill formation for blue collars abroad. The paper concludes that theories of the transfer of HRM practices within multinationals must include technological factors and must also develop more specific concepts of the centralization of multinationals.

The paper is to the knowledge the first to include technology as a core variable into the neo-institutionalist theory in the field of international business and HRM. While the relationship between technology and organization has gained huge prominence in the recent discussions about digitalization, it has been so far neglected by scholars of international business.

Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.

Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).

This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.

The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.

This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.

The purpose of this paper is to evaluate the effect of logistics collaboration, meetings, relationship history, and supplier selection on the logistics performance of shippers, carriers, and logistics services providers. Rather than focusing on collaboration and performance, the research provides a wide analysis of how logistics collaboration and performance interact with other organizational practices.

To investigate the interaction among the constructs, the authors proposed a structural equation model to understand the influence of meetings, relationship history, supplier selection, and collaboration on logistics performance. The data were obtained through a survey of 199 managers of Brazilian companies in the retail sector.

Supplier selection has the strongest effect on logistics collaboration, and relationship history has the strongest effect on logistics performance. Rather than meetings and operational features, the elements of interpersonal skills, organizational culture, and communication appear to be the most important contributors to logistics performance achievements; relationship history leads to better performance.

This study contributes to our understanding of how and with whom to collaborate by highlighting the relationships among supplier selection, relationship history, meetings, and logistics collaboration and logistics performance.

This paper aims to explore the effect of interlocking directorates on agency conflicts and corporate performance in the shipping industry.

The authors use social network analysis to discover central nodes in the network of personal and corporate connections in an international sample of 110 listed shipping companies.

Assessing network structure, the authors find that the network of corporate leaders is denser than the network of shipping companies. The network of shipping companies is populated with many isolated nodes; the network of shipping executives and directors is populated with many cohesive groups in which the longest distance between two corporate leaders is two companies. The authors find that interlocking corporate leadership can help resolve agency conflicts in the shipping industry, bearing a negative effect on the magnitude of agency costs. The extent of leadership overlaps is associated with board size, financial leverage and profitability. The relationship between profits and interlocks is bidirectional, implying that interlocking directorates bear a positive effect on asset returns.

The authors map the relational structures in the social networks of companies and company leaders in the shipping industry and discover the cross-sectional determinants of interlocks in the shipping industry. The finding about the effect of interlocks on profitability and agency costs bears policy implications for the design of corporate governance in the shipping industry.

This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have t-statistics that exceed 1.96. When the authors impose a higher threshold (an absolute value of t-statistics of 2.78), only 27.7% of the 148 anomalies survive. Second, microcaps have large impacts. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The results suggest that data mining explains large portion of abnormal returns. Any tactical asset allocation strategies based on market anomalies should be applied very cautiously.