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In recent years, a number of privileged individuals have entered the music industry in Zimbabwe, either as performers or entrepreneurs. The economic challenges in the country may have prompted these individuals to invest in music as a means of diversifying their income or exploring new business opportunities. To determine whether their interest in music is driven by entrepreneurship or genuine passion, a scholarly examination was deemed necessary.

A qualitative research approach with semi-structured interviews was used as the data collection technique. Narrative analysis was conducted on a sample of musicology students in Gweru, Zimbabwe.

The findings revealed the nepo babies’ interest in music is driven by legacy continuation – the responsibility to carry on with the name of the parent – harsh economic conditions, capitalizing on Internet and digital opportunities and mechanisms for psychological satisfaction during hardships.

Although there is a wide range of literature on musicpreneurship, there are gaps in studies that have examined whether a nepo baby's interest in music is motivated by musicpreneurship or a genuine passion for it. Therefore, the aim of this research is to contribute to the existing body of literature on African musicpreneurship, with a specific focus on Zimbabwe.

Any credible agenda that seeks to eradicate global poverty must seek to correct the structural injustices and inequities that cause and perpetuate endemic poverty. Such an agenda must aim not merely to aid the poor with grants, welfare, and subsidies (that indirectly perpetuate poverty) but seek to enhance self-sufficiency and productive skills of the poor by ensuring them comparable access to opportunities of the market economies to participate, on more equitable terms, in the dynamic process of overall economic growth. In this context, we apply critical thinking to identify and recognize the structured injustices of the market system, which not only cause poverty but also compromise human dignity via social inequalities and inequities arguably caused by the free market and corporate capital systems of the world. Global poverty that affects more than a quarter of the human population is a pernicious self-serving system connected to the injustices of the business and political systems of the world. The persistent nature of poverty is in direct proportion to our inability to eradicate it as a whole in the cosmic system. Eradication of global desperate poverty and its unjust structural causes can be achieved, we submit, by tracing the roots of global poverty to corporate and free enterprise capital systems and their unexamined structures of social injustice and social inequalities.

This research sought to document the volume, development trend and geographical distribution of the research on teacher autonomy, identify high-impact journals, authors and documents and reveal the intellectual structure of the field.

This paper analyzed the articles published on the related subject in the Web of Science (WoS) and/or Scopus. Based on certain exclusion criteria, analyses were conducted on a total of 259 articles. The data were then subjected to descriptive analyses and bibliometric analyses.

The review found that the teacher autonomy knowledge base has grown dramatically since 2004. In the co-citation analysis, it was determined that four clusters focused on the themes of professionalism and professional development, leadership and self-efficacy, autonomy in language teaching and learning and self-determination theory. According to the co-word analysis in this review, the most co-occurring keywords were revealed to be “teacher autonomy,” “autonomy,” “teachers,” “teacher professionalism” and “professional development.”

Despite increasing numbers of systematic reviews focusing on educational administration and leadership, this paper represents the first bibliometric review conducted to reveal the development of research on teacher autonomy using both the WoS and Scopus databases. Teacher autonomy can be regarded as an emerging field of study backed up by a theoretical background. Although there are some distinct prominent scholars in the research area, autonomy research still needs more scholars to specialize in the field.

The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.

A quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.

Competence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.

This study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.

This study aims to investigate the effects of standardization, accreditation process on academic freedom and quality learning in higher education institutes (HEIs). In addition, this study explores the mediating effects of academic freedom between standardization, accreditation and learning.

To attain the objective, the study uses the theory of self-determination as its theoretical underpinning. The smart PLS-SEM technique is applied for analyzing data.

The results indicate that the accreditation process has a significant negative influence on faculty academic freedom and quality of learning in the sampled HEIs. There is also a significant mediating effect of academic freedom.

There are a few limitations in this study. First, the study considers the faculty members only as respondents. Second, this study only considers the faculty members of private universities as respondents. In the future, public HEIs could also be included in similar studies. Finally, this research has been done in the context of a developing country.

The findings of the study have pervasive implications for the authorities in HEIs. The authorities of HEIs might capitalize on this evidence in formulating the appropriate policy for their HEIs.

As the accreditation process weakens academic freedom and quality learning, accreditation should not be viewed as an institutional development and quality assurance tool. Rather, accreditation ought to allow for amplifying faculty voices, empowering faculty and protecting their rights.

Quantitative analysis on the subject addressed in the current study is scarce. Therefore, this research can be considered valuable for stakeholders of HEIs.

The study advances an enhanced model encompassing psychological involvement, denoted as the psychological continuum model (PCM) and perceived customer service quality as intermediaries in the association between subjective customer knowledge (SCK) and behavioral loyalty. The purpose of this study is to assess the mediating role of psychological engagement and consumers' perceived service quality in the relationship between SCK and behavioral loyalty among members of nonprofit sports service organizations. Additionally, the study aims to examine the impact of membership duration on the relationship between consumer knowledge and behavioral loyalty.

The study used a quantitative research design, and primary data were collected through a structured questionnaire from 527 members of nonprofit Chinese sports clubs who were selected using a simple random sampling technique. A 5-point Likert scale questionnaire was developed to measure all constructs in the intended research model. The suitability of the measurement model was analyzed by performing confirmatory factor analysis (CFA). Structural equation modeling (SEM) was used to analyze the data using AMOS-24.

The results of the overall direct effect indicate a significant influence of subjective knowledge on perceived service quality, perceived service quality significantly and positively influences psychological engagement; psychological engagement was found to be an important predictor of consumer behavioral loyalty.

The results offer information for nonprofit sports club (NPSC) managers who seek to increase the attractiveness and retention of their clubs' members by establishing the importance of subjective consumer knowledge.

Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision.

Twelve students and six members of faculty in a small technology-focused university were interviewed. Thematic analysis of the interview data was combined with data collected from a survey of 44 students at the same university. Self-determination theory was applied as an analytical framework.

Three themes were identified – bespoke learning, affect and support – that significantly impact motivation and learning outcomes in programming education. It was also found that students are already making extensive use of large language models (LLMs). LLMs can significantly improve learner autonomy and sense of competence by improving the options for bespoke learning; fostering emotions that are conducive to engendering and maintaining motivation; and inhibiting the negative affective states that discourage learning. However, current LLMs cannot adequately provide or replace social support, which is still a key factor in learner motivation.

Integrating the use of LLMs into curricula can improve learning motivation and outcomes. It can also free educators from certain tasks, leaving them with more time and capacity to focus their attention on developing social learning opportunities to further enhance learner motivation.

To the best of the authors’ knowledge, this is the first attempt to explore the relationship between motivation and LLM use in programming education.

This study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.

This study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.

The study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.

Dark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.

This study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.

In today’s highly competitive world, the purpose of this research is to emphasize the increasing significance of management education and advocate for the adoption of innovative teaching approaches, specifically focusing on artificial intelligence (AI)-driven personalized learning (PL). This study aims to explore the integration of self-determination theory (SDT) principles into management education, with a primary focus on enhancing student motivation, engagement and academic performance (AP).

This interdisciplinary research adopts a multifaceted approach, combining perspectives from AI, education and psychology. The design and methodology involve a thorough exploration of the theoretical foundations of both AI-driven education and SDT. The research demonstrates how these two elements can synergize to create a holistic educational experience. To substantiate the theoretical claims, empirical data-driven analyses are employed, showcasing the effectiveness of AI-enabled personalized learning (AIPL). The study integrates principles from SDT, such as autonomy, competence and relatedness, to create an environment where students are intrinsically motivated, receiving tailored instruction for optimal outcomes.

The study, rooted in SDT, demonstrates AIPL’s transformative impact on management education. It positively influences students’ autonomy, competence and relatedness, fostering engagement. Autonomy is a key driver, strongly linked to improved AP. The path analysis model validates these relationships, highlighting AI’s pivotal role in reshaping educational experiences and intrinsically motivating students.

This study holds substantial significance for educators, policymakers and researchers. The findings indicate that the AIPL model is effective in increasing student interest and improving AP. Furthermore, this study offers practical guidance for implementing AI in management education to empower students, enhance engagement and align with SDT principles.

Contribute original insights through an interdisciplinary lens. Synthesize AI and SDT principles, providing a roadmap for a more effective educational experience. Empirical data-driven analyses enhance credibility, offering valuable contributions for educators and policymakers in the technology-influenced education landscape.

A range of models of employability implicitly or directly identify potential drivers of motivated behaviour related to engaging in employment-related outcomes whilst acknowledging that employability is also about developing life skills. Motivational theorists suggest that tasks engaged for external purposes, e.g. working towards an employment-related goal, are experienced differently than (those same) tasks engaged in for less external reasons, e.g. the desire for knowledge. Whilst there are excellent examples of the use of motivational theory in some models of employability, sometimes the evidence is either outdated, incorrectly interpreted or fails to use the most appropriate motivational theory. The aim of this paper is to bring to attention several prominent motivational theories and some key evidence that seems most pertinent across models of employability.

As this was a non-empirical design, the approach did not fit any research design methodology or structured, systematic or meta-analysis review. The paper outlines a series of arguments by reviewing in detail several theories of motivation and mapping them against current models of employability.

From a theoretical point of perspective, it is suggested that Expectancy Value Theory needs to be considered when creating models of employability. It is also suggested that motivation for employment-related tasks is probably extrinsic, though evidence suggests that forms of extrinsic motivation can also be motivationally adaptive. Several models posit self-efficacy as a driver of motivated behaviour, but the evidence suggests a clear and consistent interactive relationship between subjective task value and self-efficacy, suggesting that self-efficacy is only a useful predictor when value is high.

Whilst the aim of models of employability is to improve our understanding of the predictors of employability behaviours, the practical consequence is the development of appropriate curriculum. Understanding which features of employability create adaptive and maladaptive motivation should help educators create curriculum that produces optimal engagement and performance.

Models of employability are mostly created using bodies of extant evidence. In this paper, we have tried to identify where some of the interpretation of the evidence has been more or less appropriate. We hope that ideas and evidence in this paper will allow theorists, where appropriate, to re-develop their models.