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This paper argues that the concept of “jouissance” can help us understand the popularity of blockchain protocols, meme-coins, and non-fungible tokens (NFTs) in the world of Web3. These technologies act as mirrors to project reflections that allow people to imagine social and personal selves differently. Meme-coins use dark humor to oppose mainstream society, and the popularity of NFTs cannot be fully explained by artistic merit or return on investment. Instead, each collectible NFT allows the collector to explore various possible representations of the self. It is argued that blockchains must be seen as socio-informational-technical systems that participate in the formation of the symbolic social structures giving rise to social and personal identity. By recognizing the personal and social significance of jouissance, we can appreciate the darker, more primal aspects of these phenomena that other theories and approaches cannot fully explain.

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.

The aim of this paper is twofold: to explore the significance and implications of the rise of AI technology for the field of tertiary education in general and, in particular, to answer the question of whether teachers can be replaced by intelligent AI systems such as androids, what that requires in terms of human capabilities and what that might mean for teaching and learning in higher education.

Given the interdisciplinary nature of this conceptual paper, a literature review serves as a methodological tool to access data pertaining to the research question posed in the paper.

This exploratory paper gathers a range of evidence from the philosophy of mind (the mind-body problem), Kahneman’s (2011) System 1 and System 2 models of the mind, Gödel’s (1951) Two Incompleteness Theorems, Polanyi’s (1958, 1966) theory of tacit knowing and Searle’s (1980) Chinese Room thought experiment to the effect that no AI system can ever fully replace a human being because no machine can replicate the human mind and its capacity for intelligence, consciousness and highly developed social skills such as empathy and cooperation.

AI is rising, but there are inherent limits to what machines can achieve when compared to human capabilities. An android can at most attain “weak AI”, that is, it can be smart but lack awareness or empathy. Therefore, an analysis of good teaching at the tertiary level shows that learning, knowledge and understanding go far beyond any quantitative processing that an AI machine does so well, helping us to appreciate the qualitative dimension of education and knowledge acquisition. ChatGPT is robotic, being AI-generated, but human beings thrive on the human-to-human interface – that is, human relationships and meaningful connections – and that is where the true qualitative value of educational attainment will be gauged.

This paper has provided evidence that human beings are irreplaceable due to our unique strengths as meaning-makers and relationship-builders, our capacity for morality and empathy, our creativity, our expertise and adaptability and our capacity to build unity and cooperate in building social structures and civilization for the benefit of all. Furthermore, as society is radically automated, the purpose of human life and its reevaluation will also come into question. For instance, as more and more occupations are replaced by ChatGPT services, more and more people will be freed up to do other things with their time, such as caring for relatives, undertaking creative projects, studying further and having children.

The investigation of the scope and limitations of AI is significant for two reasons. First, the question of the nature and functions of a mind becomes critical to the possibility of replication because if the human mind is like a super-sophisticated computer, then the relationship between a brain and mind is similar (if not identical) to the relationship between a computer as machine hardware and its programme or software (Dreyfus, 1979). [ ] If so, it should be theoretically possible to understand its mechanism and reproduce it, and then it is just a matter of time before AI research and development can replicate the human mind and eventually replace a human teacher, especially if an AI machine can teach just as intelligently yet more efficiently and economically. But if AI has inherent limitations that preclude the possibility of ever having a human-like mind and thought processes, then our investigation can at least clarify in what ways AI/AGI – such as ChatGPT – could support teaching and learning at universities.

Despite enormous literature on Human Resource Management (HRM) practices in the context of Mergers and Acquisitions (M&As), researchers have not come up with a synthesis that integrates the role and importance of HRM practices during M&As. This study aims to identify, analyse and synthesise existing literature to discover associated HRM practices that facilitate organisational change during M&As.

Bibliometric analysis is performed using 473 research articles entailing 871 authors from 62 countries (published in Scopus and WoS listed journals), followed by a thematic cluster analysis using bibliographic coupling. The analysis is performed using different means as citation analysis, cluster analysis and keyword analysis to reveal the most significant publications, authors, keywords, trends and future research questions.

The results are primarily descriptive and aim at capturing a panoramic view of what was already written on the topic so far. The bibliometric analysis is conducted using different means like citation analysis, cluster analysis and keyword analysis to reveal the most significant publications, notable authors, keywords, current research trends and future research questions. Further, the bibliographic coupling analysis led to the identification of the following six clusters: (1) coping strategies during and post-M&As; (2) changes in individual and organisational identification during and post-M&As; (3) role of cultural and transformational leadership in M&As success; (4) HRM practices to develop employee capabilities post-M&As; (5) case studies and success stories of M&As; and (6) organisational readiness for M&As.

This study has theoretical and practical implications and suggests future research directions. The authors also propose an abstruse model for HRM practices during M&A process for further investigation.

This is the first bibliometric study to explore the vast extant literature in M&A research related to the role of HRM practices in the execution of successful M&As.

The purpose of this paper is to revisit previous design principles and guidelines for online makerspaces in public libraries (Kim et al., 2020) and expand the design principles with more updated implications and examples from the literature published during and after the COVID-19 pandemic.

The authors reviewed recently published papers about online transitions of makerspaces, especially during and after the COVID-19 pandemic, summarized their implications and deduced applicable design principles and guidelines.

This paper proposes updated design principles and guidelines based on four key areas: Program and service design; Tools and materials; Facilitation; and Logistic support. These updated design principles considered a wider range of patrons that public library makerspaces may serve, the digital divide issues and logistic concerns that should be addressed beyond the scope of a single makerspace.

This paper compiles various lessons learned and strategies regarding online makerspaces and maker programming for public libraries and provides helpful design principles and guidelines for the continued use of online components for makerspace services and programs.