Learning Big Data Gathering to Predict Travel Industry Consumer Behavior

Learning Big Data Gathering to Predict Travel Industry Consumer Behavior
Author: Johnny Ch Lok
Publisher: Independently Published
Total Pages: 380
Release: 2018-10-08
Genre: Business & Economics
ISBN: 9781726860079

Challenges of artificial intelligence, algorithms technology and machine learning impact to consumption marketThe challenges of artificial intelligence, algorithms technology and machine learning impact to consumption market are similar to travelling entertainment consumption market. Markets have played a key role in providing individuals and businesses with the opportunity to gain from trade. If (AI) big data gather tool can predict how to change potential customer behavior in success. The challenges to consumers will face that the overall market consumption model will be dominated by the businessmen only. So, it is not fair or reasonable to consumers, because (AI) big data gather tool has controlled or dominated all consumers' minds and it has predicted how and why every kind of product or service consumer shopping model or consumption behaviors how will change.It will bring this questions: How can market designers learn the characteristics necessary to set optimal, or at least better, reserve prices after they had gather all data to conclude the analytical results of their consumers behaviors how will change? How can market designers better learn the environments of their markets?

Marketing and Big Data Analytics in Tourism and Events

Marketing and Big Data Analytics in Tourism and Events
Author: Hashem, Tareq Nael
Publisher: IGI Global
Total Pages: 313
Release: 2024-05-06
Genre: Business & Economics
ISBN:

In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.

Consumer Behavior in Tourism and Hospitality Research

Consumer Behavior in Tourism and Hospitality Research
Author: Arch G. Woodside
Publisher: Emerald Group Publishing
Total Pages: 197
Release: 2017-08-09
Genre: Business & Economics
ISBN: 1787430073

The chapters in this volume provide tools and evidence useful for deep understanding of tourists’ buying, consumption, and being through examinations of consumers’ self-descriptions of personal markers of their trip configurations.

Analytics in Smart Tourism Design

Analytics in Smart Tourism Design
Author: Zheng Xiang
Publisher: Springer
Total Pages: 309
Release: 2016-10-12
Genre: Business & Economics
ISBN: 3319442635

This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.

Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing

Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing
Author: Azman, Norhidayah
Publisher: IGI Global
Total Pages: 422
Release: 2024-10-03
Genre: Business & Economics
ISBN:

In today's dynamic digital marketing landscape, understanding and predicting tourist behavior is a significant challenge for businesses and organizations in the tourism sector. Consumer choices are influenced by various factors, making it essential to use innovative approaches and insights to engage with tourists and enhance their overall experience effectively. Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing is a comprehensive collection of papers addressing conventional paradigms and exploring contemporary research methodology advancements. This book offers fresh perspectives to help the tourism sector understand and analyze tourist behavior in the digital era. The book examines tourist behavior holistically and provides a roadmap for stakeholders to develop targeted strategies and initiatives. By leveraging insights from the latest research, businesses can tailor their marketing efforts to meet tourists' evolving needs and preferences, ultimately enhancing customer satisfaction and loyalty. Public sector organizations can also use these insights to formulate destination marketing and development plans that resonate with tourists, thereby driving economic growth and sustainable tourism practices.

The Emerald Handbook of ICT in Tourism and Hospitality

The Emerald Handbook of ICT in Tourism and Hospitality
Author: Azizul Hassan
Publisher: Emerald Group Publishing
Total Pages: 660
Release: 2020-11-30
Genre: Business & Economics
ISBN: 1839826886

The Emerald Handbook of ICT in Tourism and Hospitality incorporates key research findings, in-depth case studies and discussion of the future implications stemming from technologies changes and developments across a number of core themes.

Advances in Computational and Bio-Engineering

Advances in Computational and Bio-Engineering
Author: S. Jyothi
Publisher: Springer Nature
Total Pages: 488
Release: 2020-07-06
Genre: Mathematics
ISBN: 3030469433

This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.

Quantitative Research Methods in Consumer Psychology

Quantitative Research Methods in Consumer Psychology
Author: Paul Hackett
Publisher: Taylor & Francis
Total Pages: 418
Release: 2018-12-07
Genre: Psychology
ISBN: 1317280415

Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches. The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.

Marketing Innovation Strategies and Consumer Behavior

Marketing Innovation Strategies and Consumer Behavior
Author: Barbosa, Belem
Publisher: IGI Global
Total Pages: 490
Release: 2024-04-09
Genre: Business & Economics
ISBN:

In today's fast-paced global marketplace, businesses grapple with the relentless demand for innovation in marketing strategies. The landscape is ever-evolving, driven by digital advancements and shifting consumer behaviors, leaving companies scrambling to stay relevant. Academic scholars, educators, and managers face a formidable challenge: deciphering the complex web of trends and technologies shaping modern marketing while equipping themselves with actionable strategies to thrive in this dynamic environment. By delving into topics ranging from digital marketing and sustainability initiatives to data analytics and emerging technologies, Marketing Innovation Strategies and Consumer Behavior equips readers with the tools they need to survive and thrive in the modern marketplace. Its emphasis on real-world case studies ensures practical relevance, while its theoretical underpinnings offer a solid foundation for academic inquiry. This book is an indispensable resource for scholars seeking to deepen their understanding of marketing innovation, providing actionable insights and strategic frameworks to navigate the complexities of the digital age with confidence and agility.

Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information

Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information
Author: Mehmet Ali Yilbasi
Publisher: Mehmet Ali Yılbaşı
Total Pages: 144
Release: 2023-06-11
Genre: Education
ISBN:

This ebook is a guide for anyone who wants to understand the impact of Data Analytics and Artificial Intelligence in business and explore how these technologies can be applied. Businesses should use this association correctly to extract more valuable information from large data sets, optimize their operational processes and gain competitive advantage. Throughout our book, we will try to explain the potential in Data Analytics and Artificial Intelligence with examples, practical tips and real-world applications. We will also provide resources and recommendations for our readers who want to follow developments in these areas.