This essential Handbook outlines the latest research on operations management teaching, and identifies new developments in the overall trends of (de)globalisation, sustainability and digitalisation. It highlights contemporary developments in teaching practice, providing theoretical insights into potential future pedagogical directions.

This timely Handbook investigates the many perspectives from which to reconsider teaching and learning within business schools, during a time in which higher education is facing challenges to the way teaching might be delivered in the future.

This comprehensive Handbook provides an international perspective on contemporary issues and future directions in teaching and learning in tourism. Key topics include assurance of learning, development of skills, learning in the field, work integrated learning, sustainability and critical studies, internationalisation, technology enabled learning, links between teaching and research, and graduate student supervision. Within these topics attention is devoted to the discussion of curriculum, pedagogy, assessment, students, educators and trends and issues. The Handbook provides a valuable resource for understanding teaching and learning theory and practice in tourism.

This handbook provides new dimensions and directions to design tourism education curriculums and transform students' learning. It delves into issues such as job opportunities, business opportunities, required skill sets, and the role of critical and creative thinking in tourism education, and focuses on a shift in mindset from R&D (research and development) to L&D (learning and development), to aid in gaining in-the-field knowledge. It presents a global perspective on the latest trends, innovative curriculum, research, and skill needs in the travel, tourism, and hotel industry via empirical, theoretical, and conceptual chapters, as well as through global case studies. This handbook explores how to develop the skills, attributes and prospects for employment in these competitive industries, and also highlights what employers in the tourism and hospitality sectors expect from graduate and/or post-graduate candidates. Besides examining the contribution of tourism education towards a better society, this handbook introduces a new way of designing curriculums, and examines the past practices, current trends, and future opportunities in the field.

"Covers the core concepts and theories of production and operations management in the global as well as Indian context. Includes boxes, solved numerical examples, real-world examples and case studies, practice problems, and videos. Focuses on strategic decision making, design, planning, and operational control"--Provided by publisher.

The sudden implementation of emergency health procedures at the start of the COVID-19 pandemic forced many educators and educational institutions to explore new territory in terms of policy, teaching strategy, and more. Now that many institutions are familiar with online education, innovations have been developed and implemented. It is essential to study these best practices and innovations that have been developed in remote teaching and learning to better understand the future of online education. The Research Anthology on Remote Teaching and Learning and the Future of Online Education explores the recent developments, strategies, and innovations in remote teaching and learning that have been implemented globally. Covering topics such as emergency remote teaching, psycho-social well-being, and cross-cultural communication, this major reference work is an indispensable resource for educators and administrators of both K-12 and higher education, pre-service teachers, teacher educators, librarians, government officials, IT managers, researchers, and academicians.

The Handbook of Experiential Learning In International Business is a one-stop source for international managers, business educators and trainers who seek to either select and use an existing experiential learning project, or develop new projects and exercises of this kind.

Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics.

Provides an authoritative reference collection on leading international insights into the integration of technology tools and applications with adult and vocational instruction.