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| big data revenue management: Revenue Management for the Hospitality Industry David K. Hayes, Joshua D. Hayes, Peggy A. Hayes, 2021-11-09 REVENUE MANAGEMENT FOR THE HOSPITALITY INDUSTRY Explore intermediate and advanced topics in the field of revenue management with this up-to-date guide In the newly revised second edition of Revenue Management for the Hospitality Industry, an accomplished team of industry professionals delivers a comprehensive and insightful review of hospitality pricing and revenue optimization strategies. The book offers realistic industry examples from hotels, restaurants, and other hospitality industry segments that use differential pricing as a major revenue management tool. The authors discuss concepts critical to the achievement of hospitality professionals’ revenue management goals and include new examinations of the growing importance of effective data collection and management. A running case study helps students learn how to incorporate the revenue management principles and strategies included in the book’s 14 chapters. Written for students with some prior knowledge and understanding of the hospitality industry, the new edition also includes: A brand-new chapter on data analysis and revenue management that addresses many of the most important data and technology-related developments in the field, including the management of big data, data safety, and data security In-depth discussions of revenue management topics including Net Revenue Per Available Room, Direct Revenue Ratio, and other KPIs Major changes to the book’s instructor support materials and an expansion of the instructor’s test bank items and student exercises. An indispensable resource for students taking courses in hospitality management or business administration, Revenue Management for the Hospitality Industry, Second Edition is also ideal for managers and executives in the hospitality industry. |
| big data revenue management: Big Data, Big Analytics Michael Minelli, Michele Chambers, Ambiga Dhiraj, 2013-01-22 Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more. |
| big data revenue management: Hotel Revenue Management: From Theory to Practice Stanislav Ivanov, 2014-03-15 This research monograph aims at developing an integrative framework of hotel revenue management. It elaborates the fundamental theoretical concepts in the field of hotel revenue management like the revenue management system, process, metrics, analysis, forecasting, segmentation and profiling, and ethical issues. Special attention is paid on the pricing and non-pricing revenue management tools used by hoteliers to maximise their revenues and gross operating profit. The monograph investigates the revenue management practices of accommodation establishments in Bulgaria and provides recommendations for their improvement. The book is suitable for undergraduate and graduate students in tourism, hospitality, hotel management, services studies programmes, and researchers interested in revenue/yield management. The book may also be used by hotel general managers, marketing managers, revenue managers and other practitioners looking for ways to improve their knowledge in the field. |
| big data revenue management: Revenue Management Robert G. Cross, 2011-04-27 From the man the Wall Street Journal hailed as the guru of Revenue Management comes revolutionary ways to recover from the after effects of downsizing and refocus your business on growth. Whatever happened to growth? In Revenue Management, Robert G. Cross answers this question with his ground-breaking approach to revitalizing businesses: focusing on the revenue side of the ledger instead of the cost side. The antithesis of slash-and-burn methods that left companies with empty profits and dissatisfied stockholders, Revenue Management overturns conventional thinking on marketing strategies and offers the key to initiating and sustaining growth. Using case studies from a variety of industries, small businesses, and nonprofit organizations, Cross describes no-tech, low-tech, and high-tech methods that managers can use to increase revenue without increasing products or promotions; predict consumer behavior; tap into new markets; and deliver products and services to customers effectively and efficiently. His proven tactics will help any business dramatically improve its bottom line by meeting the challenge of matching supply with demand. |
| big data revenue management: Hotel Pricing in a Social World Kelly A. McGuire, 2015-10-26 Take control of revenue management in the new hotel economy Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an insightful resource that provides guidance on improving organizational decision making to keep your hotel relevant, from a pricing standpoint, in the often chaotic hotel landscape. This groundbreaking book clearly showcases the current environment of the hotel industry, and describes new and emerging trends that can impact your revenue management tactics. This essential text prepares you to survive and thrive in today's highly competitive market, and outlines the best approach to building profitable pricing strategies that follow both tactical and strategic best practices. Revenue management has become a key activity in the highly social environment of today's hotel industry, thanks to mobile technology and social media. Though relatively new, revenue management is a quickly-evolving discipline that requires precision if you want to maintain your hotel's relevance in the market. Leverage original research, case studies, and industry examples to understand the practical application of key concepts Explore current market conditions that have an impact on revenue management Consider how advances in data management, analytics, and data visualization can impact revenue management practices Identify how revenue management can help you take advantage of market opportunities and overcome challenges Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an essential text for hotel CFOs, CMOs, revenue managers, and operations managers who want to leverage revenue management techniques to keep their hotel competitive. |
| big data revenue management: Airline Revenue Management Curt Cramer, Andreas Thams, 2021-11-10 The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland. |
| big data revenue management: Healthcare Big Data Analytics Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri, 2024-03-18 This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup. |
| big data revenue management: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
| big data revenue management: Big Data and Decision-Making Anna Visvizi, Orlando Troisi, Mara Grimaldi, 2023-01-30 Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. |
| big data revenue management: Operations Research and Big Data Ana Paula Ferreira Dias Barbosa Póvoa, Joao Luis de Miranda, 2015-09-11 The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR. |
| big data revenue management: Supply Chain Management in the Big Data Era Chan, Hing Kai, Subramanian, Nachiappan, Abdulrahman, Muhammad Dan-Asabe, 2016-11-04 Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations. |
| big data revenue management: Technology Application in Tourism in Asia Azizul Hassan, 2022-03-02 This book very specifically focuses on technology application in tourism in Asia. The book contains twenty-seven chapters in four sections (i.e., theories, innovations, practices, and future research directions), based on the intriguing qualities and importance of technology applications in the Asian tourism business. This book, a blend of comprehensive and extensive efforts by the contributors and editor, is designed to extensively cover technology applications in tourism in Asia, including distinct topics such as mobile computing, new product designs, innovative technology usages in tourism promotion, technology-driven sustainable tourism development, location-based apps, mobility, accessibility, the post crisis situation of COVID-19, etc. This book is a significant contribution towards the very limited knowledge of technology applications in tourism, with selected examples of Asian countries. The importance of technology in Asian tourism is rapidly increasing, and has led to a rise in luxury, allowing citizens to enjoy leisure travel over both long and short distances. The rise of low-cost airlines and the region’s growing, affluent middle class have changed the tourism environment dramatically. More tourists are booking their holidays online as a result of technological advancements. Online travel is the most important and well-established aspect of Asia's Internet economy. Considering the ongoing trend of technology applications in the tourism industry in Asia, more research attempts like this book need to be made aiming towards exploring diverse aspects. As tourism is an expanding area, this book can serve as a reading companion for tourism students, policy planners and industry professionals. This book is expected to be appreciated by expatriate researchers and researchers having a keen interest in the Asian tourism industry. |
| big data revenue management: Marketing for Tourism and Hospitality Alan Fyall, Patrick Legohérel, Isabelle Frochot, Youcheng Wang, 2019-03-04 The marketing landscape has changed dramatically in recent years, especially for tourism and hospitality practitioners. Marketing for these industries is now a multi-dimensional, collaborative venture driven by technological change and the growing demand for authentic co-created experiences. Marketing for Tourism and Hospitality provides students with a contemporary, accessible and useful resource as they prepare to encounter the complexities and challenges of tourism and hospitality marketing globally. A clear articulation of the changing landscape, a comprehensive introduction to the three underpinning themes of collaboration, technology and experiences, and a plentiful supply of international case material provide students with an enjoyable and digestible resource that is both academically rigorous and practice-oriented, helping them prepare for day-to-day problems in the dynamic world of marketing. This contemporary, challenging and highly applied text is an indispensable resource for all students of tourism and hospitality degree programmes. |
| big data revenue management: New Horizons for a Data-Driven Economy José María Cavanillas, Edward Curry, Wolfgang Wahlster, 2016-04-04 In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. |
| big data revenue management: The Analytic Hospitality Executive Kelly A. McGuire, 2016-09-06 Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits. Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business. Understand big data and analytics Incorporate analytics into existing business processes Identify the most valuable data sources Create a strategic analytic culture that drives value Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you. |
| big data revenue management: Impact of AI and Tech-Driven Solutions in Hospitality and Tourism Talukder, Mohammad Badruddoza, Kumar, Sanjeev, Tyagi, Pankaj Kumar, 2024-08-14 With today’s rapidly evolving digital landscape, businesses in the hospitality and tourism industries face the challenge of harnessing the power of emerging technologies to stay competitive and meet the evolving needs of travelers. From personalized guest experiences to efficient operations and sustainable practices, there is a growing demand for innovative solutions that leverage artificial intelligence (AI) and cutting-edge technology. However, navigating this technological landscape can be daunting, with businesses often grappling with questions of implementation, integration, and ethical considerations. Impact of AI and Tech-Driven Solutions in Hospitality and Tourism emerges to provide insight and guidance in addressing these challenges. By delving into the transformative potential of AI and technology, this book offers a comprehensive exploration of how these innovations are reshaping the hospitality and tourism sectors. Through in-depth analyses, case studies, and practical examples, readers gain valuable insights into the myriad ways in which AI-driven solutions can enhance guest experiences, streamline operations, and drive sustainable practices within the industry. |
| big data revenue management: Hotel Pricing in a Social World Kelly A. McGuire, 2015-10-27 Take control of revenue management in the new hotel economy Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an insightful resource that provides guidance on improving organizational decision making to keep your hotel relevant, from a pricing standpoint, in the often chaotic hotel landscape. This groundbreaking book clearly showcases the current environment of the hotel industry, and describes new and emerging trends that can impact your revenue management tactics. This essential text prepares you to survive and thrive in today's highly competitive market, and outlines the best approach to building profitable pricing strategies that follow both tactical and strategic best practices. Revenue management has become a key activity in the highly social environment of today's hotel industry, thanks to mobile technology and social media. Though relatively new, revenue management is a quickly-evolving discipline that requires precision if you want to maintain your hotel's relevance in the market. Leverage original research, case studies, and industry examples to understand the practical application of key concepts Explore current market conditions that have an impact on revenue management Consider how advances in data management, analytics, and data visualization can impact revenue management practices Identify how revenue management can help you take advantage of market opportunities and overcome challenges Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an essential text for hotel CFOs, CMOs, revenue managers, and operations managers who want to leverage revenue management techniques to keep their hotel competitive. |
| big data revenue management: Revenue Management in the Lodging Industry Ben Vinod, 2022-10-31 This book provides an end-to-end view of revenue management in the hospitality industry. The book highlights the origins of hotel reservations systems and revenue management, challenges unique to hotels, revenue management models, new generation retailing, and personalization and steps required to remain competitive in the marketplace. This book is intended for practitioners to understand the basics and have a comprehensive view of the impacts of revenue management on product distribution, reservations, inventory control, including the latest advances in the field of attribute-based room pricing and inventory control. There are several aspects of revenue management that are not covered in books and journal articles such as hotel pricing, hotel fully allocated costs, content parity, impact of Online Travel Agencies on hotels, competitive revenue management and attribute-based room pricing and inventory control which represents the last frontier in hotel revenue management with intelligent retailing. Leveraging emerging technologies, such as Artificial Intelligence and Blockchain and the future state of revenue management, are also addressed. |
| big data revenue management: The Analytic Hospitality Executive Kelly A. McGuire, 2016-08-22 Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits. Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business. Understand big data and analytics Incorporate analytics into existing business processes Identify the most valuable data sources Create a strategic analytic culture that drives value Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you. |
| big data revenue management: The Evolution of Yield Management in the Airline Industry Ben Vinod, 2021-05-28 This book chronicles airline revenue management from its early origins to the last frontier. Since its inception revenue management has now become an integral part of the airline business process for competitive advantage. The field has progressed from inventory control of the base fare, to managing bundles of base fare and air ancillaries, to the precise inventory control at the individual seat level. The author provides an end-to-end view of pricing and revenue management in the airline industry covering airline pricing, advances in revenue management, availability, and air shopping, offer management and product distribution, agency revenue management, impact of revenue management across airline planning and operations, and emerging technologies is travel. The target audience of this book is practitioners who want to understand the basics and have an end-to-end view of revenue management. |
| big data revenue management: From Big Data to Smart Data Fernando Iafrate, 2015-02-26 A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization. |
| big data revenue management: The Routledge Handbook of Hotel Chain Management Maya Ivanova, Stanislav Ivanov, Vincent P. Magnini, 2016-05-05 Understanding the global hotel business is not possible without paying specific attention to hotel chain management and dynamics. Chains are big business, approximately 80 percent of hotels currently being constructed around the world are chain affiliated and, in 2014, the five largest brands held over a one million rooms. The high economic importance of the hotel chains and their global presence justifies the academic research in the field however, despite this, there is no uniform coverage in the current body of literature. This Handbook aids in filling the gap by exploring and critically evaluates the debates, issues and controversies of all aspects of hotel chains from their nature, fundamentals of existence and operation, expansion, strategic and operational aspects of their activities and geographical presence. It brings together leading specialists from range of disciplinary backgrounds and regions to provide state-of-the-art theoretical reflection and empirical research on current issues and future debates. Each of the five inter-related section explores and evaluates issues that are of extreme importance to hotel chain management, focusing on theoretical issues, the expansion of hotel chains, strategic and operational issues, the view point of the individual affiliated hotel and finally the current and future debates in the theory and practice of hotel chain management arising from globalisation, demographic trends, sustainability, and new technology development. It provides an invaluable resource for all those with an interest in hotel management, hospitality, tourism and business encouraging dialogue across disciplinary boundaries and areas of study. This is essential reading for students, researchers and academics of Hospitality as well as those of Tourism, Marketing, Business and Events Management. |
| big data revenue management: Big Data Analytics for Intelligent Healthcare Management Nilanjan Dey, Himansu Das, Bighnaraj Naik, H S Behera, 2019-04-15 Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. - Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more - Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. - Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more |
| big data revenue management: Big Data to Improve Strategic Network Planning in Airlines Maximilian Schosser, 2019-09-05 Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments. |
| big data revenue management: Big data and official statistics Margareth Antonicelli, Filomena Maggino, 2022-11-11T00:00:00+01:00 Big Data has strongly influenced official statistics, representing a significant innovation that offers a range of opportunities, challenges and risks for the work of national statistical institutions. The fields of application are wide and important. From these data emerge decisive behavioral aspects for companies, according to many strategic directions. The analysis of data at the government and institutional level is a fundamental enabling factor of the smart city paradigm, which is based on a system of interconnected and monitored services with an IoT logic. Furthermore, Big Data are fundamental in the diagnostic and forecasting processes of disease risk. This book aims to lay the essential and train the professional figure of the data scientist, starting from the most basic elements of statistics, a fundamental subject for the explanation of phenomena, up to the explanation and use of complex software such as Python. |
| big data revenue management: Mobile Computing and Technology Applications in Tourism and Hospitality Waluyo, Agustinus Borgy, Tan, Ling, 2022-03-11 Mobile computing and wireless technology have grown at a phenomenal rate in recent years, and so has artificial intelligence. The most advanced software applications that the world ever witnessed can be realized through a combined aspect of these disciplines, capable of delivering high level support to various industry sectors and to people’s quality of life in general. Currently, many countries are facing challenges from the COVID-19 pandemic. One of the most impacted industries by the pandemic is that of tourism and hospitality. It is time to explore and leverage the power of mobile and wireless intelligence to assist with the recovery of the tourism and hospitality sector during and after the pandemic, which constitutes a need for relevant research in the field. Mobile Computing and Technology Applications in Tourism and Hospitality presents the latest research and development in mobile and intelligent computing with a focus on tourism and hospitality sectors. The chapters discuss the role of research on innovative technologies and applications for resilience to return the tourism and hospitality industry back to its normal state. This includes research on topics such as sensor-based technology, smart tourism, virtual and augmented reality, mobile travel applications, and more. This book is ideal for managers, executives, museum and cultural heritage specialists, app developers, IT consultants, tourism and hospitality professionals, researchers, academicians, and students. |
| big data revenue management: Analytics and Big Data: The Davenport Collection (6 Items) Thomas H. Davenport, Jeanne G. Harris, 2014-08-12 The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics. |
| big data revenue management: Big Data – BigData 2022 Bo Hu, Yunni Xia, Yiwen Zhang, Liang-Jie Zhang, 2022-12-09 This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added services. Big Data is a key enabler of exploring business insights and economics of services. |
| big data revenue management: Hospitality Revenue Management Peter Szende, 2020-11-23 This new textbook, Hospitality Revenue Management: Concepts and Practices, provides a comprehensive, in-depth introduction to the basic concepts and best practices of hospitality revenue management. With a real-world, hands-on approach, the book places students in the role of a revenue manager striving to succeed in an ever-changing hospitality business environment. The book takes a unique multi-author, collaborative approach, with chapters from outstanding industry leaders who share their experience and provide the information necessary to arm students with the most up-to-date tools and methods they to be effective in the hospitality revenue management field. The chapters cover the important topics in hospitality revenue management, including hotel pricing, hotel segmentation, distribution channels, competitive analysis, hotel forecasting, performance analysis, market data, supply and demand management, and more. |
| big data revenue management: Big Data Intelligence and Computing Ching-Hsien Hsu, Mengwei Xu, Hung Cao, Hojjat Baghban, A. B. M. Shawkat Ali, 2023-04-30 This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications. |
| big data revenue management: Tourism Philip Goulding, 2023-05-31 Examines how temporality manifests in and impacts tourism in different parts of the world looking at climate, culture and/or structural conditions of the tourism operation. It looks at the reasons and causes for temporality within tourism and how this effects both the industry, the consumer and the environment. |
| big data revenue management: Smart Trends in Computing and Communications Yu-Dong Zhang, Tomonobu Senjyu, Chakchai So-In, Amit Joshi, 2022-07-05 This book gathers high-quality papers presented at the Sixth International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) in partnership with IFIP InterYIT during January 11–12, 2022. It covers the state of the art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications. |
| big data revenue management: The SAGE Handbook of Tourism Management Chris Cooper, Serena Volo, William C. Gartner, Noel Scott, 2021-08-04 The SAGE Handbook of Tourism Management is a critical, authoritative review of tourism management, written by leading international thinkers and academics in the field. Arranged over two volumes, the chapters are framed as critical synoptic pieces covering key developments, current issues and debates, and emerging trends and future considerations for the field. The two volumes focus in turn on the theories, concepts and disciplines that underpin tourism management in volume one, followed by examinations of how those ideas and concepts have been applied in the second volume. Chapters are structured around twelve key themes: Volume One Part One: Researching Tourism Part Two: Social Analysis Part Three: Economic Analysis Part Four: Technological Analysis Part Five: Environmental Analysis Part Six: Political Analysis Volume Two Part One: Approaching Tourism Part Two: Destination Applications Part Three: Marketing Applications Part Four: Tourism Product Markets Part Five: Technological Applications Part Six: Environmental Applications This handbook offers a fresh, contemporary and definitive look at tourism management, making it an essential resource for academics, researchers and students. |
| big data revenue management: Information Management Dr. V. Ravi Kumar, Dr. A. Manikandan , 2021-03-10 Buy E-Book of Information Management Book For MBA 1st Semester of Anna University, Chennai |
| big data revenue management: Total Revenue Management (TRM) Marc Helmold, 2020-06-03 This book explores total revenue management (TRM), an emerging concept in revenue management that incorporates existing principles and tools of revenue management across all profit streams. It is a professional's guide to using TRM in an optimal and innovative manner to gain competitive advantage. Readers will gain comprehensive insights into the strategies, tools and principles of TRM including existing and emerging revenue streams across the value chain. The author offers a transparent and holistic explanation of pricing strategies, segmentation methods and distribution principles which enable implementation of TRM in organizations. |
| big data revenue management: Big Data Transportation Systems Guanghui Zhao, Gusheng Zhu, 2021-07-02 This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms. |
| big data revenue management: Innovative behavior in entrepreneurship: Analyzing new perspectives and challenges Jose Ramon Saura, Daniel Palacios-Marqués, Marisol B. Correia, Belem Barbosa, 2023-06-21 |
| big data revenue management: Hospitality Management Eli Sampson, 2018-10-15 Hospitality management is the study of the hospitality industry. The hospitality industry is vast and very diverse. Any time people travel, stay in a hotel, eat out, go to the movies, and engage in similar activities, they are patronizing establishments in the hospitality industry. The management of such establishments is very challenging, as managers need to be flexible enough to anticipate and meet a wide variety of needs. Hotel Management, as the term suggests, is focused on managing all aspects related to the functioning of a hotel. From the time a guest arrives at a hotel to the time he checks out, the responsibility of all activities during the guest's stay in the hotel forms part of Hotel Management. Hospitality management graduates are highly employable, applying their skills to careers in events, hotel and conference management, sales and business development and forestry and fishing management. Hospitality management means 'managing' an event, or when referring to managing a hotel, it would mean managing all the different departments and members of staff so that the paying guests feel welcomed and enjoy their stay. It is important that these people know that you are warm and friendly, so that they would probably return to the venue again in the future. This book has been developed as an attempt to provide some literature on vast growing hotel industry. This text will help immensely those who are desirous of joining the industry to equip themselves with a career in front office, housekeeping, food production, food and beverage service and tourism. |
| big data revenue management: Big Data Bootcamp David Feinleib, 2014-09-26 Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every organization should become a big data company. It’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib’s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains: • Why every businessperson needs to understand the fundamentals of big data or get run over by those who do • How big data differs from traditional database management systems • How to create and run a big data project • The technical details powering the big data revolution Whether you’re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career. |
| big data revenue management: Big Data Analytics for the Prediction of Tourist Preferences Worldwide N. Padmaja, Rajalakshmi Subramaniam, Sanjay Mohapatra, 2024-02-22 Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner. |
BIG | Bjarke Ingels Group
BIG has grown organically over the last two decades from a founder, to a family, to a force of 700. Our latest transformation is the BIG LEAP: Bjarke Ingels Group of Landscape, Engineering, …
Bjarke Ingels Group - BIG
Since BIG inception in 2006, David Zahle has been responsible for delivering imaginative and pioneering designs for buildings such as Copenhill, a waste-to energy plant with a ski slope on …
Athletics Las Vegas Ballpark | BIG | Bjarke Ingels Group
The project builds on a longstanding collaboration between BIG and the Athletics dating back to a different ballpark design in Oakland, California in 2018. The new ballpark’s roof is accentuated …
Jinji Lake Pavilion | BIG | Bjarke Ingels Group
Our latest transformation is the BIG LEAP: Bjarke Ingels Group of Landscape, Engineering, Architecture, Planning and Products. A plethora of in-house perspectives allows us to see what …
Gowanus 175 Third Street | BIG | Bjarke Ingels Group
Catalyzed by the major Gowanus rezoning in 2021 – one of the most significant rezonings in New York City in recent years – 175 Third Street builds on years of BIG’s prior study and design …
Sankt Lukas Hospice and Lukashuset | BIG | Bjarke Ingels Group
A small step for each of us becomes a BIG LEAP for all of us. BIG has grown organically over the last two decades from a founder, to a family, to a force of 700. Our latest transformation is the …
Google Bay View | BIG | Bjarke Ingels Group
Leon Rost — Partner, BIG The campus includes 17.3 acres of high-value natural areas – including wet meadows, woodlands, and marsh – that contribute to Google’s broader efforts to …
Gelephu International Airport | BIG | Bjarke Ingels Group
As Bhutan’s second international airport, the project is a collaboration with aviation engineering firm NACO and an integral part of the Gelephu Mindfulness City (GMC) masterplan designed …
Opera and Ballet Theatre of Kosovo | BIG | Bjarke Ingels Group
BIG proposes a simple and prag matic arrangement of the performance venues draped in a soft, undulating exterior skin of photovoltaic tiles. The theatre ’s form is reminiscent of the free …
Freedom Plaza | BIG | Bjarke Ingels Group
Freedom Plaza will extend BIG’s contribution to New York City’s waterfront, alongside adjacent coastal projects that include the East Side Coastal Resiliency project, the Battery Park City …
BIG | Bjarke Ingels Group
BIG has grown organically over the last two decades from a founder, to a family, to a force of 700. Our latest transformation is the BIG LEAP: Bjarke Ingels Group of Landscape, Engineering, …
Bjarke Ingels Group - BIG
Since BIG inception in 2006, David Zahle has been responsible for delivering imaginative and pioneering designs for buildings such as Copenhill, a waste-to energy plant with a ski slope on …
Athletics Las Vegas Ballpark | BIG | Bjarke Ingels Group
The project builds on a longstanding collaboration between BIG and the Athletics dating back to a different ballpark design in Oakland, California in 2018. The new ballpark’s roof is accentuated …
Jinji Lake Pavilion | BIG | Bjarke Ingels Group
Our latest transformation is the BIG LEAP: Bjarke Ingels Group of Landscape, Engineering, Architecture, Planning and Products. A plethora of in-house perspectives allows us to see …
Gowanus 175 Third Street | BIG | Bjarke Ingels Group
Catalyzed by the major Gowanus rezoning in 2021 – one of the most significant rezonings in New York City in recent years – 175 Third Street builds on years of BIG’s prior study and design …
Sankt Lukas Hospice and Lukashuset | BIG | Bjarke Ingels Group
A small step for each of us becomes a BIG LEAP for all of us. BIG has grown organically over the last two decades from a founder, to a family, to a force of 700. Our latest transformation is the …
Google Bay View | BIG | Bjarke Ingels Group
Leon Rost — Partner, BIG The campus includes 17.3 acres of high-value natural areas – including wet meadows, woodlands, and marsh – that contribute to Google’s broader efforts to …
Gelephu International Airport | BIG | Bjarke Ingels Group
As Bhutan’s second international airport, the project is a collaboration with aviation engineering firm NACO and an integral part of the Gelephu Mindfulness City (GMC) masterplan designed …
Opera and Ballet Theatre of Kosovo | BIG | Bjarke Ingels Group
BIG proposes a simple and prag matic arrangement of the performance venues draped in a soft, undulating exterior skin of photovoltaic tiles. The theatre ’s form is reminiscent of the free …
Freedom Plaza | BIG | Bjarke Ingels Group
Freedom Plaza will extend BIG’s contribution to New York City’s waterfront, alongside adjacent coastal projects that include the East Side Coastal Resiliency project, the Battery Park City …
