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Entrepreneurial education is gaining traction in Ghana. The purpose of this chapter was to assess the influences of social enterprises in promoting entrepreneurial education, using Ghanaian social enterprises as a case study. The study adopted a qualitative research approach. A multiple case study analysis examined the influences of social enterprises in Ghana. Four in-depth qualitative case studies offer insight into social enterprise practices. Sustainability, innovation, control and employment issues stand out as key effects of Ghanaian social enterprise practices. The social practice theory framework is used to draw the linkages of the structure and agency relationships. Sustainability emerges as the most dominant impact of social enterprise practice followed by innovation, control and employment. These four descriptive terms summarise the universal effects of Ghanaian social enterprises' practices. The study identifies and assesses the role of social enterprises in social entrepreneurial education in addressing social ills and environmental challenges facing Ghana. The emphasis placed on each of the identified four constructs describes the plausible roles of Ghana's social enterprises in achieving productive entrepreneurship through entrepreneurship education. The result shows the pursuit of multiple practices is a common feature of social enterprises. The limitations of the study stem from methodological approach as it is qualitative approach bias and a single country case. Likewise, the subjectivities of the samples direct the results of the study. The study draws the attention of stakeholders and policymakers to the goodwill of social entrepreneurship education in Ghana. Many studies have been conducted on entrepreneurial education in the contextual setting of this study. This present study focused on the practices of social enterprises in Ghana that influences entrepreneurial education.

The purpose of this study is to investigate Koreans' preferences for FCDM versus SDM and explored the influence of Asian cultural values on decision-making in the context of managing chronic illnesses, such as type 2 diabetes mellitus (T2DM). Shared decision-making (SDM) emphasizes collaboration between providers and service recipients to decide on the best treatment options. However, it may not fully account for the role of families in managing chronic illness, particularly for people from Eastern cultural backgrounds who value active participation from their families in decisions. In response, family-centered decision-making (FCDM) has been proposed as an alternative approach. Using a vignette experiment design, data (n = 316) were collected from Koreans in the US and in Korea who were randomly presented with either SDM or FCDM processes for reaching T2DM treatment decisions. In addition to demographic information, participants reported on three dimensions of their decision-making experience: satisfaction, perceived effectiveness, and perspective-taking. They also rated their Asian cultural values and familiarity with T2DM. Results show better satisfaction, perceived effectiveness, and perspective taking for FCDM compared to SDM when examined in context of treatment types and perceived illness severity. Moderation effects were found for familiarity of illness, with familiarity effects varying by perceived severity. Study findings provided some evidence in favor of FCDM in Asian communities addressing the disabilities and chronic illness of a family member. Although the current study investigated treatment decisions for T2DM during doctor's visits, FCDM has shown potential to be applied in other service settings.

This study attempts to identify and explicate the unique segmentation of the increasingly growing virtual reality (VR) user market based on the user experience. Consequently, it collects five hundred forty-five online survey questionnaires through the Prolific platform and deploys cluster analysis to identify mutually exclusive groups of VR users. The research variable, user experience, contains 16 indicators explained by four dimensions. As a result, this study is able to unveil three mutually exclusive markets which are labeled as (1) beginner, (2) aficionado, and (3) utilitarian. The unique features of these three groups are further compared based on their VR tour behaviors. In the conclusion section, it offers managerial implications for devising novel marketing strategies.

The high turnover of new graduate employees has become a concern for many organizations in Korea. This study explores when new graduate employees leave first jobs and what makes these employees decide to leave employees' organizations.

Using national panel data from South Korea, the authors employed a survival analysis and examined the factors that explain the turnover of new graduate employees.

The findings of this study reveal that many new graduate employees leave the employees' organizations within two years. Moreover, work conditions, work satisfaction and job-skill match were associated with new graduate employee turnover.

Based on the results of survival analysis derived from actual turnover data, not turnover intentions, the authors emphasize appropriate human resources (HR) intervention, a working environment and organizational culture, and employee development opportunities.

The next generation of mobility is arising, and various challenging mobilities have entered the limelight. One of the most exciting of these is urban air mobility (UAM), and one of its challenges is constructing effective and efficient UAM service network. This study took a quantitative approach to the problem in an effort to support and facilitate the UAM service industry.

This study derived a multi-objective and multi-period (MOMP) location optimization model to support strategic UAM service network design. The model, based on its long-term service plan, determines where and when to open UAM airports. In addition, this study applied a modified e-constraint algorithm to derive managerial decisions on the Pareto relationship in consideration of multiple objectives and multiple periods.

Each Pareto solution represents a different UAM service network configuration. Thus, the model can analyze the trade-offs between Pareto decisions for the UAM service network. A case study of UAM service network design in South Korea demonstrates the validity of the proposed mathematical model and algorithm.

The design of a UAM service network should consider various aspects. Its construction and operation would require significant investments of time, capital and people, which would redound to society over a significant span of time. The results of this study provide quantitative guidelines for derivation and analysis of various UAM service network configurations in consideration of multiple objectives and multiple periods.

This paper proposes MOMP optimization, which approach is suitable to the fundamental characteristics of expanding UAM service networks and their design. It is expected that the present study will make significant contributions to the efforts of those deriving and analyzing future UAM service networks.

Online news websites provide huge amounts of timely news, bringing the challenge of recommending personalized news articles. Generative adversarial networks (GAN) based on collaborative filtering (CFGAN) can achieve effective recommendation quality. However, CFGAN ignores item contents, which contain more latent preference features than just user ratings. It is important to consider both ratings and item contents in making preference predictions. This study aims to improve news recommendation by proposing a GAN-based news recommendation model considering both ratings (implicit feedback) and the latent features of news content.

The collaborative topic modeling (CTM) can improve user preference prediction by combining matrix factorization (MF) with latent topics of item content derived from latent topic modeling. This study proposes a novel hybrid news recommendation model, Hybrid-CFGAN, which modifies the architecture of the CFGAN model with enhanced preference learning from the CTM. The proposed Hybrid-CFGAN model contains parallel neural networks – original rating-based preference learning and CTM-based preference learning, which consider both ratings and news content with user preferences derived from the CTM model. A tunable parameter is used to adjust the weights of the two preference learnings, while concatenating the preference outputs of the two parallel neural networks.

This study uses the dataset collected from an online news website, NiusNews, to conduct an experimental evaluation. The results show that the proposed Hybrid-CFGAN model can achieve better performance than the state-of-the-art GAN-based recommendation methods. The proposed novel Hybrid-CFGAN model can enhance existing GAN-based recommendation and increase the performance of preference predictions on textual content such as news articles.

As the existing CFGAN model does not consider content information and solely relies on history logs, it may not be effective in recommending news articles. Our proposed Hybrid-CFGAN model modified the architecture of the CFGAN generator by adding a parallel neural network to gain the relevant information from news content and user preferences derived from the CTM model. The novel idea of adjusting the preference learning from two parallel neural networks – original rating-based preference learning and CTM-based preference learning – contributes to improve the recommendation quality of the proposed model by considering both ratings and latent preferences derived from item contents. The proposed novel recommendation model can improve news recommendation, thereby increasing the commercial value of news media platforms.

This study examines how the characteristics of innovation knowledge exchanged among affiliate firms affect the ownership strategies adopted for their foreign subsidiaries.

This study employs a cross-classified multilevel model to examine a sample of 185 Korean manufacturing affiliates derived from 49 Chaebols engaged in international diversification, along with their 1,110 foreign manufacturing subsidiaries.

While exploratory innovation knowledge exchange lowers the affiliate's level of ownership in its foreign subsidiary, exploitative innovation knowledge exchange rather increases the affiliate's level of ownership in its foreign subsidiary.

This study advances the literature on intrafirm knowledge exchange by highlighting it as a determinant of ownership strategies. The study further shows that the characteristics of knowledge exchanged at the affiliate level not only determine the ownership structure but also have the potential to shape the direction in which the subsidiary develops its competencies.

This study has practical implications for the managers of business group affiliates. The results suggest that managers should adapt their ownership strategies according to the type of knowledge exchanged at the affiliate level to achieve a balanced and synergistic effect on intraorganizational knowledge exchange.

Previous studies have extensively explored the performance implications related to knowledge exchange. However, there is a notable gap in understanding the mechanisms through which the value of knowledge transferred within an affiliate is realized. To address this gap, this study focuses on ownership strategy as a crucial factor and empirically examines how the characteristics of innovation knowledge exchanged among affiliate firms influence the ownership strategies adopted for their foreign subsidiaries. By investigating this relationship, this study provides valuable insights into the complex dynamics of knowledge exchange and its effect on ownership decisions within business group affiliates.