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The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.

While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.

Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.

There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.

With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

This study presents the impact of Economic Policy Uncertainty (EPU)-induced Trade Supply Chain Vulnerability (TSCV) on the Small and Medium-Sized Enterprises (SMEs) in India by leveraging the World Bank Enterprise Survey data for 2014 and 2022. Applying econometric techniques, it examines firm size’ influence on productivity and trade participation, providing insights for enhancing SME resilience and trade participation amid uncertainty.

The econometric techniques focus on export participation, along with variables such as total exports, firm size, productivity, and capital intensity. It addresses crucial factors such as the direct import of intermediate goods and foreign ownership. Utilizing the Cobb-Douglas production function, the study estimates Total Factor Productivity, mitigating endogeneity and multicollinearity through a two-stage process. Besides, the study uses a case study of North Indian SMEs engaged in manufacturing activities and their adoption of mitigation strategies to combat unprecedented EPU.

Results reveal that EPU-induced TSCV reduces exports, impacting employment and firm size. Increased productivity, driven by technological adoption, correlates with improved export performance. The study highlights the negative impact of TSCV on trade participation, particularly for smaller Indian firms. Moreover, SMEs implement cost-based, supplier-based, and inventory-based strategies more than technology-based and risk-based strategies.

Policy recommendations include promoting increased imports and inward foreign direct investment to enhance small firms’ trade integration during economic uncertainty. Tailored support for smaller firms, considering their limited capacity, is crucial. Encouraging small firms to engage in international trade and adopting diverse SC mitigation strategies associated with policy uncertainty are vital considerations.

This study explores the impact of EPU-induced TSCV on Indian SMEs’ trade dynamics, offering nuanced insights for policymakers to enhance SME resilience amid uncertainty. The econometric analysis unveils patterns in export behavior, productivity, and factors influencing trade participation during economic uncertainty.

Multi-unmanned aerial vehicle (UAV) systems have succeeded in gaining the attention of researchers in diversified fields, especially in the past decade, owing to their capability to operate in complex scenarios in a coordinated manner. Path planning for UAV swarms is a challenging task depending upon the environmental conditions, the limitations of fixed-wing UAVs and the swarm constraints. Multiple optimization techniques have been studied for path-planning problems. However, there are local optimum and convergence rate problems. This study aims to propose a multi-UAV cooperative path planning (CoPP) scheme with four-dimensional collision avoidance and simultaneous arrival time.

A new two-step optimization algorithm is developed based on multiple populations (MP) of disturbance-based modified grey-wolf optimizer (DMGWO). The optimization is performed based on the objective function subject to multi constraints, including collision avoidance, same minimum time of flight and threat and obstacle avoidance in the terrain while meeting the UAV constraints. Comparative simulations using two different algorithms are performed to authenticate the proposed DMGWO.

The critical features of the proposed MP-DMGWO-based CoPP algorithm are local optimum avoidance and rapid convergence of the solution, i.e. fewer iterations as compared to the comparative algorithms. The efficiency of the proposed method is evident from the comparative simulation results.

A new algorithm DMGWO is proposed for the CoPP problem of UAV swarm. The local best position of each wolf is used in addition to GWO. Besides, a disturbance is introduced in the best solutions for faster convergence and local optimum avoidance. The path optimization is performed based on a newly designed objective function that depends upon multiple constraints.

This final chapter draws together the key findings presented in the preceding pages and considers emergent conclusions and implications for mental health and wellbeing in schools. The author draws upon the evidence presented by the book’s eclectic range of contributors and the health promoting schools’ (HPSs) framework to provide a road map of what an effective whole school approach (WSA) might look like moving forward. Crucially, lessons from recent crises in education, including COVID-19-driven changes in pathways to support, are highlighted as pivotal factors in a future vision which sees schools as an effective and sustainable frontline force to help tackle the global burden of child and adolescent mental health through a proactive, preventive stance. With this future focus in mind, next steps are considered in terms of developing effective and sustainable mental health and wellbeing support for all within healthy school settings.

Data from international journals show that woman* and other minorities continue to be drastically underrepresented in the music industry worldwide and in the electronic music industry in Europe, Canada, and Quebec. Recent work focusing on the contributions of female electronic music DJs and producers also testify to the intersectional difficulties they face. In this chapter, we examine the strategies they deploy daily to make a career in an overwhelmingly male environment by studying the case of the Montreal electronic music scene. To do so, we use qualitative interviews and observations using the shadowing technique and we deploy a gender-as-social-practice approach, which focuses on how people practice gender in everyday life by considering gender not as a stable state or characteristic of people, but as a dynamic process performed in interactions that produce difference. Our research, which runs from 2021 to 2025, aims to find explanations for the persistent underrepresentation of women* in the electronic music world. More specifically, our results highlight the strategies and coping mechanisms our participants mobilize to negotiate their place and identity in the electronic music industry, paying particular attention to the collective aspect of their mobilization and to their feminist practices, such as creating solidarity networks.

*People who identify as woman.

The case study’s primary learning objectives are to develop a number of professional competencies, such as personal ethics and citizenship, decision-making acumen and business acumen. Students deal with a novel situation, underpinned by four Sustainable Development Goals (reduced poverty, quality education, decent work and economic growth, and reduced inequalities) and are required to consider a broad range of historical and cultural nuances in a resource-constrained environment, to address the dilemma at hand.

This case study tracks the efforts of a non-profit company called Just Grace, which was established in 2012 in Cape Town. Just Grace’s mission is to uplift the Langa community, an underprivileged urban suburb in Cape Town, via educational, career development and social programmes. Just Grace’s programmes have achieved success in Langa. The dilemma now facing Just Grace is whether their existing model is transferable to a rural community in the Eastern Cape in South Africa.

The case study is aimed at both local and international postgraduate students studying an honours or master’s degree in a business-related field such as accounting or an MBA.

CSS 1: Accounting and finance.

Teaching notes are available for educators only.

This study aims to investigate the dynamic interaction between interest rates and commercial property financing offered by Islamic banks in Malaysia.

The authors use the autoregressive distributed lag (ARDL) cointegration methodology to analyse the short- and long-run effect of the interest rates and rental rates on commercial property financing of Islamic banks in Malaysia between 2010: Q1 and 2018: Q2.

The findings reveal that changes in interest rates affect Islamic commercial property financing. This indicates that Islamic banks still rely on interest rates as a benchmark without fully implementing Islamic rental rates. This corroborates the subsequent finding, where overnight policy rates influence commercial property financing.

Despite the authors’ attempt to provide insights into Islamic commercial property financing, the study is limited to secondary data; further research can use survey information to obtain other details that are not included in this study. Similarly, this study does not cover the operation and financial lease debate in Musharakah Mutanaqisah. Future studies can examine the challenges faced by the financial institution towards implementing rental rates in other emerging and developing countries using a different methodology.

This study is the first to investigate the dynamic changes in overnight policy rates, average lending rates and rental rates on Islamic commercial property financing in Malaysia using ARDL techniques. The authors uncover the research and institutional implications of Islamic commercial property financing rates and provide policy and future research directions coupled with the proposed modified rental rate to be developed.