Rahul Pratap Singh Kaurav – författare

This is the first book to provide the student of tourism, hospitality and events with all that they need to undertake statistical analysis using SPSS for research in their industry. Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations. Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader’s understanding. Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action. Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis.

This is the first book to provide the student of tourism, hospitality and events with all that they need to undertake statistical analysis using SPSS for research in their industry. Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations. Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader’s understanding. Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action. Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis.

Marketing Analytics Using Excel is the essential introduction to data-driven marketing, which simplifies complex concepts and offers practical, real-world applications. This comprehensive yet accessible guide encourages an in-depth understanding of marketing analytics, from fundamental topics and basic Excel functions to more advanced topics such as AI and predictive analytics.Packed with practical examples and easy-to-follow, fully worked problems which demonstrate how theoretical concepts are applied in real-world situations, this book also includes: • Industry case studies from leading companies like Zappos, Amazon, Netflix, and Spotify, providing insights into how marketing analytics is applied in various industries.• Exercises, activities and discussion questions to reinforce learning.• A focus on open access tools and career prospects which encourages readers to develop further. This no-nonsense guide minimises the intimidation factor of complex formulas and instead focuses on practical, real-world applications, making it essential reading for Marketing students and anyone looking to upskill. Dr Rahul Pratap Singh Kaurav is Associate Professor at FORE School of Management, New Delhi, India. Dr Asha Thomas is an Assistant Professor at Wroclaw University of Science and Technology (WUST), Poland.

Marketing Analytics Using Excel is the essential introduction to data-driven marketing, which simplifies complex concepts and offers practical, real-world applications. This comprehensive yet accessible guide encourages an in-depth understanding of marketing analytics, from fundamental topics and basic Excel functions to more advanced topics such as AI and predictive analytics.Packed with practical examples and easy-to-follow, fully worked problems which demonstrate how theoretical concepts are applied in real-world situations, this book also includes: • Industry case studies from leading companies like Zappos, Amazon, Netflix, and Spotify, providing insights into how marketing analytics is applied in various industries.• Exercises, activities and discussion questions to reinforce learning.• A focus on open access tools and career prospects which encourages readers to develop further. This no-nonsense guide minimises the intimidation factor of complex formulas and instead focuses on practical, real-world applications, making it essential reading for Marketing students and anyone looking to upskill. Dr Rahul Pratap Singh Kaurav is Associate Professor at FORE School of Management, New Delhi, India. Dr Asha Thomas is an Assistant Professor at Wroclaw University of Science and Technology (WUST), Poland.

AI and Business: Mapping the Present for Harnessing the Future addresses the growing need for businesses to not only understand but effectively implement artificial intelligence (AI) as a core component of their operational strategies. AI has quickly evolved from an experimental technology to a transformative tool reshaping the business landscape. While many organisations recognise its potential, numerous others struggle to integrate AI into their existing frameworks and align it with their strategic goals. This contributed work offers a comprehensive, practical guide for businesses seeking to implement AI across various functions, including marketing, finance, operations, and human resources, while highlighting the critical steps to bridge the gap between technology and effective business use.Through a blend of fundamental AI concepts such as machine learning, deep learning, and neural networks, alongside real-world case studies from industry leaders like Amazon, Google, IBM, and BOSH, the authors offer insights into how AI has catalysed transformation within these companies. By providing a balanced view of both the opportunities and challenges AI presents, it equips business professionals, leaders, and students with the tools and knowledge necessary to leverage AI for tangible, future-driven success.