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Introduction: Globalization and customer expectations have made managing the supply chain challenging. Blockchain technology has enhanced visibility, accountability, and safety in supply Chain management (SCM), which helps overcome various issues. The research aims to provide insight into Blockchain technology for improving supply chains toward sustainability in the retail sector. This study describes how clients and merchants in various retail business activities may significantly utilize Blockchain technology. From manufacturer to consumer, blockchain can track materials. It ensures product authenticity, transparency, and retail supply chain trust. Retail items are tracked before they reach customers to assess quality and discard expired items, building client confidence. Retail personnel’ SC (Supply Chain) blockchain adoption aspirations are examined in this study.

Methodology: This study validates SCM blockchain adoption using an adjusted UTUAT (Unified Theory of Acceptance and Use of Technology) model. This study examines how blockchain adoption improves employee performance using the UTUAT Model. Data was evaluated using exploratory factor and structural equation modeling.

Result: Behavioural intention was significantly associated with BCT (Block Chain Technology) in retail SCM.

Practical Implications: The following factors influence the behavioral intent to utilize the technology: performance expectations, affect expectations, subjective standards, and favorable conditions, which have a significant impact on adoption.

Conclusion: Performance and effort assumptions affect SCM blockchain adoption behavior.

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.

This study aims to investigate the implementation of lean human resource management (HRM) practices in manufacturing small- and medium-sized enterprises (SMEs) and explore how various factors interact to influence their successful adoption. By exploring the interplay among these factors, the research seeks to identify key drivers affecting the adoption of lean HRM in manufacturing SMEs. Ultimately, the research intends to provide insights that can guide organisations, practitioners and policymakers in effectively implementing lean HRM practices to enhance operational efficiency, workforce engagement and competitiveness within the manufacturing SME sector.

The study combined total interpretive structural modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis. TISM helped in understanding the hierarchical relationship among different factors influencing lean HRM implementation, whereas MICMAC analysis provided insights into the level of influence and dependence of each factor on others.

The research revealed that “top management support” emerged as the most independent factor, indicating that strong support from top management is crucial for initiating and sustaining lean HRM practices in manufacturing SMEs. On the other hand, “employee involvement and empowerment” was identified as the most dependent factor, suggesting that fostering a culture of employee engagement and empowerment greatly relies on the successful implementation of lean HRM practices.

While the study provided valuable insights, it has certain limitations. The research was conducted within the specific context of manufacturing SMEs, which might limit the generalizability of the findings to other industries. Expert opinions introduce subjectivity in data collection. Additionally, the study may not cover all critical factors, allowing room for further exploration in future research.

The findings have practical implications for manufacturing SMEs aiming to implement lean HRM practices. Recognising the pivotal role of top management support, organisations should invest in cultivating a strong leadership commitment to lean HRM initiatives. Furthermore, enhancing employee involvement and empowerment can lead to better adoption of lean HRM practices, resulting in improved operational efficiency and overall competitiveness.

This research contributes to the field by offering a comprehensive exploration of the interplay among factors influencing lean HRM implementation. The use of TISM and MICMAC analysis provides a unique perspective on the relationship dynamics between these factors, allowing for a nuanced understanding of their roles in the adoption of lean HRM practices in manufacturing SMEs. The identification of “top management support” as the most independent and “employee involvement and empowerment” as the most dependent factors adds original insights to the existing literature.

This study examines the association between financial education and budgeting behavior among college students. Under the guidance of the extended theory of planned behavior, we use a comprehensive measure of budgeting behavior and explore mediating factors between financial education and budgeting behavior.

Financial education was measured by both frequency and intensity of taking courses in finance and economics in college. Data from a sample of college students across China were analyzed using structural equation modeling and serial mediation analysis to explore the mediating roles of attitudes, subjective norms, perceived control and budgeting intentions in this relationship between financial education and budgeting behavior.

Budgeting intentions alone did not mediate the relationship between financial education and budgeting behavior. However, the serial mediation involving attitudes, subjective norms and budgeting intentions was significant.

The findings of this study have significant implications for financial educators, universities, governments and families. Financial educators should prioritize budgeting in curricula and aim to enhance students’ budgeting attitudes and intentions. Universities should enhance their financial education offerings, while governments and families should foster supportive environments and positive norms and attitudes around budgeting.

This research contributes a nuanced measurement of budgeting, analyzes the link between financial education and budgeting behavior among college students and highlights the roles of various components of the theory of planned behavior. It extends the theory by identifying how financial attitudes, subjective norms and budgeting intentions mediate the relationship between financial education and budgeting behavior.

This study aims to find out whether firms in the local textiles industry are benefiting from the combined implementation of lean practices (LPs) and quick-response manufacturing (QRM) during the era of COVID-19. The study further explores the mediating role played by quick response manufacturing in the relationship between LPs, internal process performance (IPP) and customer performance.

A questionnaire is used to garner data from 123 local firms in Ghana’s textile industry. The analysis for all the hypothesized relationships is done using partial least square structural equation.

The results of the study indicate that LPs significantly strengthen the implementation of QRM. The result also suggests that LPs and QRM can be combined to influence IPP and customer performance. The results further suggest that QRM mediates the relationship between LPs, IPP and customer performance.

This study proposes and develops an integrated research model that explores the synergistic application of LPs and QRM in achieving improvements in IPP and customer performance from an emergent country perspective during the era of COVID-19. QRM serves as an important mechanism through which the relationship between LPs, IPP and customer performance can be explained.

This study aims to identify the themes of entrepreneurial intention and develop an integrated conceptual framework for the antecedents and outcomes of entrepreneurial intention.

A Systematic Literature Review (SLR) is conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach (PRISMA). In total, 185 articles from six databases between 2010 and 2023 are included. A bibliometric analysis is performed using VOSviewer.

Unearthed are five pivotal themes, namely, personality traits, educational, contextual and cognitive factors, that profoundly influence entrepreneurial intention to deepen the understanding of nascent entrepreneurial behavior and illuminate new avenues for research in this domain.

This study relied on six databases and 185 papers from scholarly journals written in English. Articles published before 2010 and after 2023 are not considered. It proposes an integrated conceptual framework incorporating personality traits and educational, contextual and cognitive factors for intention formation. The incremental aspect of augmenting Social Cognitive Career Theory (SCCT) theory is also explained.

Arms practitioners with the crucial insights needed to embark on nascent entrepreneurs’ entrepreneurial journey early in crafting effective policies, empowering them to spearhead economic growth and innovation at both the firm and national levels.

This study shows the nexus among personality traits, educational, contextual and cognitive factors, entrepreneurial intention and nascent entrepreneurial behavior with a solid theoretical foundation under one integrated conceptual framework while augmenting SCCT, offering a fresh and innovative perspective on nascent entrepreneurial behavior.

The purpose of this study is to gain a better understanding of the conditions and motivations that influence teachers to adopt innovations.

Using Diffusion of Innovation theory (Rogers, 2003) and Self-Determination theory (Ryan and Deci, 2017), data from two surveys (n = 568; n = 108) and qualitative follow-up interviews of Early Adopter teachers (n = 16) were triangulated to discern relationships among their identification as Early Adopters, satisfaction of their basic psychological needs (BPN) and their implementation of an educational innovation.

Early Adopters had a positive and statistically significant relationship with the implementation of the innovation. Satisfaction of teachers’ BPN had the largest impact on innovation.

The findings are preliminary and based on a small sample size of teachers. Reliability of the measure of BPN was not as high as the standard, but it did have the largest impact on implementation. Additional studies should explore the connections among Early Adopter teacher motivation, leadership and the satisfaction of their BPN.

School leaders should leverage the influence of Early Adopters to support innovation, and they should provide additional time, training and resources to supports teachers’ BPN.

This study examines how to identify and support Early Adopter teachers as enablers of change within schools. We know of no other studies that have used both Diffusion of Innovation theory and Self-Determination theory to understand the motivations of Early Adopter teachers.

The Metaverse, a dynamic convergence of real and digital spaces powered by Augmented Reality (AR) and Virtual Reality (VR), presents a transformative frontier for businesses to expand consumer engagement. It offers a three-dimensional web-powered realm where users can immerse themselves in real-life scenarios and simulations from the convenience of their own devices, fostering real-time interaction and uninterrupted business operations. Integrating technologies like VR, AR, Cloud, Blockchain, and IoT, the Metaverse has already made significant strides across industries, providing consumers with unique digital experiences. Businesses can leverage this to enhance their brand awareness, establish stronger customer connections, and provide immersive shopping experiences, making traditional advertising appear antiquated. Major global companies have already embraced this technology, and the Metaverse represents an innovative digital platform with limitless possibilities, rapidly evolving with enabling technologies. This chapter delves into the potential of the Metaverse to bolster brand development and its recent growth, exploring the practical applications for businesses in the near future.