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Despite the burgeoning interest in corporate universities (CUs), their pragmatic application and ongoing evolution present challenges. This study aims to analyze the South Korean CU landscape from a balanced perspective to draw implications for the sustainable development of CUs.

The study uses a case study method to systematically explore CUs in South Korea by reviewing the South Korean government reports on CUs. The cases of CUs are analyzed based on the holistic model of CUs, which functions as an analytical framework.

By analyzing four groups of CUs, namely, in-house colleges, corporation colleges, technical colleges and in-house college-type lifelong educational establishments, implemented in South Korea, this study draws implications for the sustainable development of CUs, using the holistic CU model.

By analyzing cases of CUs from a new perspective, this study contributes to expand knowledge on CUs and suggests implications for organizations aiming to establish and sustain their own CUs tailored to their specific needs. Furthermore, this paper delves into the support necessary for the successful implementation and sustainable development of CUs, spanning organizational/team, national and individual levels.

The purposes of this study are to explore paid educational leave (PEL), self-directed learning (SDL) and the relationship between them; and to identify the implications for legislation on the learning leave scheme in South Korea.

The research method of the study is a literature review. Articles were identified through a keyword search from major academic databases. The literature search covers the time period of 1960-2012.

This paper shows that enacting PEL is a social policy that benefits to both employers and workers because it reduces training costs, eliminates educational barriers for employees and enhances opportunities to develop skills and competencies.

This study contributes to research by exploring the crucial role of PEL based on the Person-Process-Context model for SDL. It also examines the relationship between SDL and PEL in the workplace learning.

This study provides a rationale to legislate PEL as a right of workers. Through an appropriate revision of the Lifelong Education Act, the right of workers to receive the PEL benefit should be legally adopted to promote workers’ SDL in South Korea.

This paper provides theoretical and practical evidence for institutionalizing PEL in South Korea. It suggests the passage of PEL legislation because it is beneficial to all stakeholders.

While the origin of Korean Industrial Relations goes back 150 years when the country opened its seaports to foreign countries, it didn’t emerge as a field of study until 1950s when academics began to write books and papers on the Korean labor movement, labor laws, and labor economics. In this paper, we sketch this history and describe important events and people that contributed to the development of industrial relations in Korea. Korean industrial relations in the early 20th century were significantly distorted by the 35-year-Japanese colonial rule (1910–1945). After regaining its independence, the U.S. backed, growth-oriented, military-based, authoritarian Korean government followed suit and consistently suppressed organized labor until 1987. Finally, the 1987 Great Labor Offensive allowed the labor movement to flourish in a democratized society. Three groups were especially influential in the field of industrial relations in the early 1960s: labor activists, religious leaders, and university faculty. Since then, numerous scholars have published books and papers on Korean industrial relations, whose perspectives, goals, and processes are still being debated and argued. The Korean Industrial Relations Association (KIRA) was formed on March 25, 1990 and many other academic and practitioner associations have also come into being since then. The future of industrial relations as a field of study in Korea does not seem bright, however. Issues regarding organized labor are losing attention because of a steadily shrinking unionization rate, changing societal attitude toward labor unions, and the enactment of new and improved laws and regulations regarding employment relationships more broadly. Thus, we suggest that emerging issues such as contingent workers, works councils and tripartite partnership, conflict management, and human rights will be addressed by the field of industrial relations in Korea only if this field breaks with its traditional focus on union and union–management relations.

The purpose of this paper is to examine the impact of perceived environmental quality of the stadium on fans’ future intentions to attend a game by highlighting the moderating effect of team loyalty.

Using latent moderated structural equations modeling, this study tested the direct impacts of stadium factors on consumers’ desire to stay and revisit intentions and the moderation effects of team loyalty based on Mehrabian and Russell’s environmental psychology behavioral model.

The results showed significant direct effects of team loyalty and desire to stay on revisit intentions. The stadium environment influenced desire to stay and revisit intentions only by the interactions with team loyalty. More specifically, higher loyalty led to higher desire to stay and revisit intentions, whereas fans’ positive experience of stadium environment intensified the effect.

The authors highlight the significant role of desire to stay on revisit intentions by incorporating the cognitive-affective system of human behavior. In addition, this study provides essential information for identifying the interaction effects of environmental factors and team loyalty on consumer behavior in sport settings.

The current study extends the technology acceptance model (TAM) and information system success model (ISSM) to the context of branded sport applications. Specifically, the study examined the influences of app system success dimensions and TAM determinants on branded sport app usage intention. Moreover, the current study examined the gender differences regarding the relative importance of the drivers and predictors of usage intention.

Data collection (n = 256) was conducted using convenience sampling in South Korea. The data were primarily analyzed via partial least squares structural equation modeling (PLS-SEM), multi-group analysis and importance–performance map analysis (IPMA) using SmartPLS 3.0.

App users who viewed branded sport apps as having a higher level of system and information quality were likely to have stronger perceptions of enjoyment, usefulness, and ease of use. Among the TAM determinants, perceived enjoyment most significantly influenced their usage intention, followed by perceived usefulness and perceived ease of use. Multigroup analysis revealed that some relationships between app system success dimensions and TAM determinants were significantly different by gender. In addition, IPMA indicated that perceived enjoyment and system quality of branded sport apps were relatively more important than the other predictors.

The current study contributes to the literature by incorporating both TAM and ISSM and extending the TAM with the perceived enjoyment construct to examine the key determinants of usage intention in the context of branded sport apps.

The purpose of this paper is to identify the root cause of low yield problems in the semiconductor manufacturing process using sensor data continuously collected from manufacturing equipment and describe the process environment in the equipment.

This paper proposes a sensor data mining process based on the sequential modeling of random forests for low yield diagnosis. The process consists of sequential steps: problem definition, data preparation, excursion time and critical sensor identification, data visualization and root cause identification.

A case study is conducted using real-world data collected from a semiconductor manufacturer in South Korea to demonstrate the effectiveness of the diagnosis process. The proposed model successfully identified the excursion time and critical sensors previously identified by domain engineers using costly manual examination.

The proposed procedure helps domain engineers narrow down the excursion time and critical sensors from the massive sensor data. The procedure's outcome is highly interpretable, informative and easy to visualize.

The purpose of this study is to identify and explore what leadership characteristics constitute humanistic leadership in the South Korean context. Moreover, this study examines how these leadership characteristics are connected to Korean culture.

Based on the information gathered from semi-structured interviews and other sources, including books, case study articles and news articles, this study captures a more comprehensive perspective of Mr. Kook-Hyun Moon, the former CEO of Yuhan–Kimberly.

The key characteristics of Mr. Moon's humanistic leadership that are identified in this study are: respect for all mankind, benevolence (seeking the greater good), sincerity (building trusting relationships with stakeholders) and continuous learning and innovation (developing self and others). These key characteristics set Mr. Moon apart from other leaders and are connected to the fundamental values and philosophies of Korean culture.

This study contributes to the current leadership literature by identifying and exploring Mr. Moon's humanistic leadership characteristics that enable him to gain respect and contribute to communities and society in the South Korean context. This study also finds that the humanistic leadership characteristics of Mr. Moon reflect three major attributes of Korean culture: the ideology of the Dangun mythology, the principle of Neo-Confucianism in Korea and jeong – an indigenous cultural concept in Korea (these attributes will be discussed in detail in the South Korean values and philosophies section). Such reflection suggests that investigating how humanistic leadership characteristics are connected to local cultural roots is important to enhance the understanding of humanistic leadership.

This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore, by predicting spectators for each league (American League and National League) and division in MLB, the authors will identify the specific factors that increase accuracy, discuss them and provide implications for marketing strategies for academics and practitioners in sport.

This study used six years of daily MLB game data (2014–2019). All data were collected as predictors, such as game performance, weather and unemployment rate. Also, the attendance rate was obtained as an observation variable. The Random Forest, Lasso regression models and XGBoost were used to build the prediction model, and the analysis was conducted using Python 3.7.

The RMSE value was 0.14, and the R2 was 0.62 as a consequence of fine-tuning the tuning parameters of the XGBoost model, which had the best performance in forecasting the attendance rate. The most influential variables in the model are “Rank” of 0.247 and “Day of the week”, “Home team” and “Day/Night game” were shown as influential variables in order. The result was shown that the “Unemployment rate”, as a macroeconomic factor, has a value of 0.06 and weather factors were a total value of 0.147.

This research highlights unemployment rate as a determinant affecting MLB game attendance rates. Beyond contextual elements such as climate, the findings of this study underscore the significance of economic factors, particularly unemployment rates, necessitating further investigation into these factors to gain a more comprehensive understanding of game attendance.

This study aims to investigate the applicability of ethical ideologies reflected by two dimensions of moral idealism and relativism, together with social norms, to the context of digital piracy.

This study used data from a survey of college students and conducted a series of hierarchical regression analyses.

This study found that digital piracy intention was dissimilar among four different ethical groups. Injunctive norm was a critical factor that affected internet users’ intention of digital piracy, yet it was valid only for situationists and absolutists. For subjectivists and exceptionists, individual differences represented by ego-involvement and past experience of digital piracy played a more critical role than social norms in explaining digital piracy intention.

This study is the first attempt to apply the dimensions of moral idealism and relativism to the context of digital piracy. Thus, it suggests that more tailored approaches are recommended to reduce digital piracy for internet users’ varied ethical ideologies.

China has been the most important economic partner to Korea since the resurrection of their diplomatic relationship and economic interaction. It has been suggested that China simultaneously presents challenges and opportunities to the Korean economy. This paper investigates changes in trade specialization patterns and comparative advantage of Korea and China, and analyzes the effect of market expansion of Chinese industries on market shares of Korean industries. It is found that since the early 1990s, the industries that lost market share as China’s share increased include those in which Korea has maintained a comparative advantage or improved the level of disadvantage, such as IT equipment and other transport equipments. Considering growth of trade flows and emergence of China, it is critical for Korea to actively participate in international production chains, create competitive edges and extend complementary relationship with trading partners.