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This chapter presents an empirical effort for the theoretical applicability of sport diplomacy to sport for development (SFD) research by examining how sport played a role in pursuing South Korea's development at given four historical stages: (1) A prelude to Korean SFD before 1945, (2) sport for a new Korea between 1945 and 1960, (3) sport for developmental state between 1961 and 1979, and (4) sport for coming-out parties of the 1980s. This chapter supports current scholarly attempts to situate the 21st century sport for development (SFD) within the history of sport for social good, as well as approaches integrating the role of sport in the 19th century colonization and/or in the modern version of development during the post-war era. By adding an Asian case (South Korea), this chapter contributes to existing SFD literature mostly focusing on Western countries and their former colonies in Africa and South/Central America. It also contributes to the understanding of soft power's dualistic characteristics that direct domestic and international audiences with a new insight into the sport-development nexus in the history of South Korea.

This study aims to review and synthesize existing research in the field. Additionally, this study identifies emerging themes and future research opportunities based on the discussions within these studies. This research also develops a model to integrate artificial intelligence with agile human resource (AHR) practices and strives to outline potential directions for future researchers.

This study adopted a systematic literature review (SLR) and bibliometric analysis followed by content analysis through bibliographic coupling to analyze the identified literature. The SCOPUS database was used in this study, using a search string of keywords to identify the relevant research literature. The initial extraction resulted in 151 articles after adopting a series of inclusion–exclusion criteria, which led to the final attainment of 73 articles to be included for further analysis and discussion.

This study through the extant literature identified five themes and foundations of artificial intelligence in AHR practices research and developed a model for future investigation by future researchers.

To the best of the authors’ knowledge, this study is one of a kind that explores artificial intelligence within AHR practices for improved employee and organizational well-being. Thus, developing a synthesized work provides a comprehensive picture of the research domain.

The impacts of institutions on entrepreneurship and innovation, as well as the effects of technological development, have been subject to various research studies. While this theme inherently remains a focus for political decision-makers, there is very little knowledge on the combined role of institutions, entrepreneurial orientations and innovation capabilities on the technological development of countries. In this study, we examine the impacts of entrepreneurial orientation and the innovative capacity of countries through considering the moderating effect of technological development.

The data used in this study has been collected from various sources, including the World Economic Forum United Nations (UN), World Bank (WB), Organization for Economic Cooperation and Development (OECD), World Intellectual Property Organization (WIPO), National Consortium for the Study of Terrorism and Responses to Terrorism (START) and Scimago. The study focuses on 86 countries that are either at stage 2 or stage 3 of development or in the transition from stage 2 to stage 3.

We have found that corporate governance, property rights and security institutions have a positive influence on a country’s entrepreneurial mindset and its ability to innovate. Additionally, we have noted that technological advancements also play a role in moderating this relationship. These findings have important implications for the theory, practice and public policies in this area.

This study emphasizes the substantial impact of institutional quality on the entrepreneurial mindset and innovation capabilities of businesses. It shows that perceiving institutions as more stable can have a positive effect on both entrepreneurial orientation and innovative capabilities, ultimately improving companies' competitiveness.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The paper involves a structured interview format where a human interviewer poses questions “Qs” in ChatGPT, related to knowledge sharing, ethics, academia and libraries. Moreover a literature base is also provide to discussed recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The study find out that AI and ChatGPT technologies in educational institutions affect knowledge sharing, ethical consideration, academia and libraries. This study also highlights literature directions for the trends and proper use of the AI and ChatGPT among institutions, such as improving student-learning engagement.

This research contributes to the prior literature by offering an in-depth review of current uses and applications of AI and ChatGPT in educational institutions. It not only highlights key trends and innovations but also provides insights and guidelines for future research. This study also provides insights and guidelines for future research. Furthermore, the article emphasizes the potential impact of AI and ChatGPT on the future of education and technology.

This study aimed to identify factors influencing AI/chatbot usage in education and research, and to evaluate the extent of the impact of these factors.

This study used a mixed approach of qualitative and quantitative methods. It is based on both primary and secondary data. The primary data were collected through an online survey. In total, 177 responses from teachers were included in this study. The collected data were analyzed using a statistical package for the social sciences.

The study revealed that the significant factors influencing the perception of the academic and research community toward the adoption of AI/interactive tools, such as Chatbots/ChatGpt for education and research, are challenges, benefits, awareness, opportunities, risks, sustainability and ethical considerations.

This study highlighted the importance of resolving challenges and enhancing awareness and benefits while carefully mitigating risks and ethical concerns in the integration of technology within the educational and research environment. These insights can assist policymakers in making decisions and developing strategies for the efficient adoption of AI/interactive tools in academia and research to enhance the overall quality of learning experiences.

The present study adds value to the existing literature on AI/interactive tool adoption in academia and research by offering a quantitative analysis of the factors impacting teachers' perception of the usage of such tools. Furthermore, it also indirectly helps achieve various UNSDGs, such as 4, 9, 10 and 17.