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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.

Purpose: Preserving a country’s culture is crucial for its sustainability. Handicraft is a key draw for tourism destinations; it protects any civilisation’s indigenous knowledge and culture by managing the historical, economic, and ecological ecosystems and perfectly aligns with sustainable development. It has a significant role in creating employment, especially in rural regions and is an essential contributor to the export economy, mainly in developing nations. The study focuses on the skills required and existing gaps in the handicraft industry, its development and prospects by considering women and their role in preserving and embodying the traditional art of making handicrafts.

Approach: A framework has been developed for mapping and analysing the skills required in the handicraft sector using econometric modelling; an enormous number of skills have been crowdsourced from the respondents, and machine learning techniques have been used.

Findings: The findings of the study revealed that employment in this area is dependent not only on general or specialised skills but also on complex matrix skills ranging from punctuality to working in unclean and unsafe environments, along with a set of personal qualities, such as taking initiatives and specific skills, for example polishing and colour coding.

Implications: The skills mapping technique utilised in this study is applicable globally, particularly for women indulged in casual work in developing nations’ handicrafts industry. The sustainable development goals, tourism, and handicrafts are all interconnected. The research includes understanding skills mapping, which provides insights into efficient job matching by incorporating preferences and studying the demand side of casual working by women in the handicraft sector from a skills perspective.

The purpose of this paper is to compare the effects of repeatedly heated coconut oil, mustard oil and sunflower oil on antioxidant status in cholesterol-fed Sprague Dawley rats.

The test oils were heated at 210 ± 10°C for 15 h. Male Sprague Dawley rats were divided into six groups of six animals each. In total, 15% fresh/heated oils and 1% cholesterol were mixed with the experimental diet and fed to the animals for 60 days.

Chemical analysis revealed that repeated heating of oils resulted in changes in fatty acid composition and elevated lipid peroxidation, the effects being lower in heated coconut oil. Body weight gain significantly decreased in heated coconut oil (p = 0.02), heated mustard oil (p = 0.022) and heated sunflower oil (p = 0.001) fed animals. Malondialdehyde level was significantly increased (p = 0.001) in tissues of heated oils fed animals. Concentration of protein oxidation products was significantly increased (p = 0.001) in heated oils fed animals. Activities of antioxidant enzymes were decreased (p = 0.001) in heated oils fed animals. Total thiols were decreased (p = 0.001) in tissues of animals that were fed heated oils. Animals that were fed heated mustard oil and heated sunflower oil showed lower antioxidant levels and higher oxidation products when compared to those fed heated coconut oil.

Studies comparing the effects of thermally oxidized oils that vary in fatty acid composition are rare. The effects of fresh and heated oils that vary in fatty acid constitution, namely, coconut oil, mustard oil and sunflower oil, in cholesterol-fed rats are studied.

The intent to start an entrepreneurial venture is predisposed by certain personality traits. The study aims to analyze the impact of various identified personality traits and entrepreneurial education on entrepreneurial intentions of management students.

The data for the study were gathered from 440 students of top 5 management institutes in India. The study used a cross-sectional design and structured questionnaire based on seven-point Likert scale and was administered employing a purposive sampling method. Structural equation modeling (SEM) was utilized to validate posited hypotheses in the study.

The study discerns that apart from agreeableness dimension of personality traits, all remaining identified dimensions along with entrepreneurial education had a significant influence on entrepreneurial intentions of management students with need for achievement emerging as the most important enabler. Conscientiousness was the major dimension among big five personality traits bearing a positive influence, while neuroticism registered a negative impact on entrepreneurial intentions. In addition, results bespeak that entrepreneurial education partially mediates the effect of need for achievement, locus of control and innovativeness on entrepreneurial intentions.

The compendious model proffered in the study might be helpful for students, educators, consultants, financial institutions and policymakers in appreciating the gravity of underlying personality traits.

There is a dearth of research on big five personality traits and entrepreneurial education as enablers of entrepreneurial intentions. The study attempts to integrate big five personality traits model with dimensions of need for achievement, locus of control, innovativeness and entrepreneurial education for management students in India.

This chapter theoretically examined coronavirus (COVID-19) and entrepreneurship in Africa. Also, the challenges and opportunities of small and medium enterprises (SMEs) innovation were assessed. The researchers adopted a qualitative method to review secondary data, information from previous kinds of literature including pertinent internet sources and working papers. Similarly, the chapter considered an innovative-based perspective of entrepreneurship and explicates the emerging opportunities created by COVID-19. The chapter also analyzed the COVID-19 and its effect on entrepreneurship in Africa by identifying and discussing existing challenges caused by the pandemic. Furthermore, some information about the nature of COVID-19 and its effects in Africa were adequately evaluated. Gleaned evidence from literature revealed that there is a possibility that the unpremeditated damage to entrepreneurship in Africa as caused by the COVID-19 could be persistent. The chapter also showed that the emergence of the COVID-19 has threatened the survival of businesses especially SMEs, thereby increasing the level of unemployment across the African continent and has generated critical challenges for entrepreneurship development. Finally, the chapter will add to the evolving challenges and opportunities of entrepreneurship in Africa. However, entrepreneurs can build on the strengths of innovative activities to develop a survival mindset, develop financial resilience and adjust business archetypes to the realities of COVID-19 and post-COVID-19 era which in the short and long term can accentuate entrepreneurship development within African continent.

This will not be an overstatement to state that the micro, small and medium enterprise (MSME) industry is crucial and the vital driver of the world economy. It covers different fields and dimensions such as defense products, electrical components and low-cost products. The sector plays a vital role in rendering work with low capital expenditure and is one of the emerging pillars of the Indian economy. Given the significance of this sector in contributing towards India's gross domestic product (GDP), it becomes appropriate to resolve all the issues related to MSME on a primary basis for ensuring required support. The recent global pandemic of COVID-19 has impacted this sector to a great extent. This research study targets the MSME industry and points out the directly linked enablers adding to improve the sector's resiliency and sustainability. Therefore, identification and the interrelationship between the MSME enablers need to be studied, which helps make a preliminary list that deals with their impedance benefaction towards resiliency increment.

The writers have done a comprehensive literature analysis of the enablers for the MSME sector to enable effectively and efficiently during emergencies and pandemics. An endeavor has been made on the enablers to order them by utilizing the modified Total Interpretative Structure Modelling (m-TISM) technique. Authentication of this research work highlights the significance of enablers and their position in a hierarchical structure. Further, MICMAC investigation on the recognized enablers is performed to arrange them in the four quadrants on their dependence and driving power.

The authors have attempted to predict the significance of the MSME sector and its essential contribution to the development of India's economy. The result of m-TISM in the current research work revealed the essential commitment of a hierarchical design dealing with the MSME considering the viewpoint of future development. The well-planned traditional design in the MSME helps establish better government policies and programs and transport infrastructure.

Every research study has a few restrictions. Likewise, the boundaries of the current study are that inputs collated for fostering the models are from a few specialists that may not mirror the assessment of the whole MSME sector.

The MSME sector is the developing sector in the current day, and it is needed to keep supporting the sector for the country's development. The current study has set out the functional establishment to improve MSME practicality. In addition, the research highlights the accountability of the MSME authorities to go with the identified enablers having solid driving power for successful usage of the available resources. This will help the MSME development and add value to practitioners and policymakers in the future.

The growth of this sector is essential for the development of the economy and the development of a nation. The current study presents a unique structure that gives a superior comprehension of the enablers. It will help play a crucial role in developing the MSME area. The structure model developed with the assistance of m-TISM and MICMAC examine the identified enablers with inputs from experts in the field. The hierarchy developed from the study recognized the enablers located on their commitment of suitability development of the MSME field.

Many studies conducted on cause-related marketing (CaRM) are concentrated in advanced economies. However, there is very little work reported pertaining to CaRM in emerging economies like India. Hence, the aim of this study is to analyze the effect of CaRM on the customers' purchase intention (PI) in the Indian fast-moving consumer goods (FMCGs) sector, which is the fourth largest sector in the Indian economy. Further, this study tests the mediating effect of attitude and the moderating effect of cause involvement.

This paper employs a quantitative methodology. Primary data were collected from 1220 respondents from North India. PLS-SEM is employed to examine the data.

The findings reveal that CaRM strongly impacts FMCG customers' purchasing intentions. Further, a positive attitude toward cause-related marketing triggers the customer purchase intention. Third, the results show that cause involvement moderates purchase intentions, so those who feel passionately dedicated to the cause are more inclined to buy while being involved in the cause-related marketing program.

The results would aid marketers in developing effective CaRM campaigns for their FMCG brands by understanding the different combinations of factors influencing CaRM.

FMCG is one of the major pillars of the Indian economy. This research proposes a comprehensive conceptual framework for the current study that is supported by literature. This study provides evidence of the increasingly important role of CaRM in establishing a win-win association with customers, aiming to solve specific societal causes and creating a favorable image of the brand in the FMCG sector.

This research article examines event marketing in the airport business, specifically how an airport leverages event portfolios to develop its businesses by marketing itself as a destination, improving the user experience and generating revenue outside of aviation-related activities. Focusing on Singapore Changi Airport as a case study, the research underscores the airport’s business development in a competitive environment.

The study employs thematic data analysis to examine how Changi Airport leverages an event portfolio as a strategic business development tool. It conducts documentary research by gathering a diverse range of grey literature sources from the online public domain. These sources include documents related to airports, online news and media portals and user-generated content on social media platforms. The analysis is conducted in an inductive manner.

Singapore Changi Airport has recently leveraged events as a strategic marketing strategy for developing nonaeronautical business operations. As an attraction to appeal to tourists, the airport organised multiple types of events in its portfolio. Furthermore, the airport offers a wide range of event-related activities within its premises, including both sporting and cultural events. The purpose of these activities is to actively engage visitors and air travellers by offering a range of interactive experiences, including games and challenges. Such event-related activities reflect the airport’s transformation into a lifestyle platform.

Critics commonly highlight the lack of empirical research and the restricted relevance of the findings in event and festival research. This article consolidates the existing knowledge on airport management and event business to enhance the event marketing and event portfolio literature, specifically in the setting of airport business.

This paper aims to analyze the performance of reinforced concrete (RC) beams strengthened in shear with carbon fiber-reinforced polymer (CFRP) sheets subjected to four-point bending.

ANSYS software is used to build six models. In addition, SOILD65, LINK180, SHELL181 and SOLID185 elements are used, respectively, to model concrete, steel reinforcement, polymer and steel plate support. A comparative study between the nonlinear finite element and analytical models, including the ACI 440.2 R-08 and FIB14 models as well as experimental data, is also carried out.

The comparative study of the nonlinear finite element results with analytical models shows that the difference between the predicted load capacity ranges from 4.44%–24.49% in the case of the ACI 440.2 R-08 model, while the difference for FIB14 code ranges from 2.69%–26.03%. It is clear that there is a good agreement between the nonlinear finite element analysis (NLFEA) results and the different expected CFRP codes.

This model can be used to explore the behavior and predict the RC beams strengthened in shear with different CFRP properties. They could be used as a numerical platform in contrast to expensive and time-consuming experimental tests.

On the basis of the results, a good match is found between the model results and the experimental data at all stages of loading the tested samples. Load capacities as well as load deflection curves are also presented. It is concluded that the differences between the loads at failure ranged from 0.09%–6.16% and 0.56%–4.98%, comparing with experimental study. In addition, the increase in compressive strength produces an increase in the ultimate load capacity of the beam. The difference in the ultimate load capacity was less than 30% when compared with the American Concrete Institute and FIB14 codes.

The objective of this study was to investigate the effect of appearance, lifestyle and status similarity on interaction intensity, satisfaction with a banker and repurchase intention. Also examined was the moderating effect of client knowledge in the enhancement of customer satisfaction with a banker.

A total of 800 questionnaires using the snowball sampling technique were performed to distribute the questionnaires to bank customers at different ethnic community centers in New Zealand. A total of 377 useable questionnaires were collected for further analysis.

The findings indicated that the three types of similarity affect interaction intensity differently. Lifestyle similarity was found to positively influence interaction intensity. The similarity constructs of appearance and status were found to have an insignificant relationship with interaction intensity. The findings show that appearance similarity and interaction intensity are able to enhance customer satisfaction with a banker. Customer satisfaction with a banker has a significant relationship with repurchase intention. Client knowledge influences the degree of interaction intensity and satisfaction with a banker.

The findings of this study help bankers to understand the importance of their similarities with a customer and to design recruitment strategies and training sections to improve customer satisfaction.

This study contributes to the body of knowledge by incorporating interaction intensity, similarity and satisfaction with a bank into the repurchase intention model.