Marketing and big data analytics in tourism and events:
"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 eff...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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."-- |
| Beschreibung: | 20 PDFs (294 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369333112 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Marketing and big data analytics in tourism and events |c Tareq Nael Hashem, Ahmad Albattat, Marco Valeri, Anukrati Sharma, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 20 PDFs (294 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. A future look at artificial intelligence in the world of tourism -- Chapter 2. Bridging the digital divide: unleashing the power of big data analytics for touristic destination promotion -- Chapter 3. Data fusion for destination success: exploring the integration of MKIS and BDA in marketing touristic destinations -- Chapter 4. Exploring the consumer profile of the museum of futebol clube do porto through online reviews: a study using tripadvisor data -- Chapter 5. From insight to advantage: harnessing the potential of marketing intelligence systems in tourism -- Chapter 6. Leveraging virtual reality (VR) and augmented reality (AR) for enhanced tourism and event marketing: a data-driven approach -- Chapter 7. Marketing strategies for medical tourism in India amongst gulf countries: an empirical study -- Chapter 8. Personalization of travel experiences through data analytics: a case study in amusement parks -- Chapter 9. Techniques and tools for big data analytics in the tourism sector -- Chapter 10. Tomorrow's travel companion: the role of artificial intelligence in shaping the future of tourism -- Chapter 11. Unlocking the power of data: exploring the dynamic role of MKIS in revolutionizing tourism marketing -- Chapter 12. Utilizing marketing information systems and big data analytics in promoting tourism destinations -- Chapter 13. Utilisation of marketing information systems in the tourism marketing sector. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "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."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Marketing applications. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Tourism |x Technological innovations. | |
| 653 | |a Artificial Intelligence in Tourism. | ||
| 653 | |a Big Data Analytics Implementation Challenges. | ||
| 653 | |a Big Data Analytics Tools for Tourism. | ||
| 653 | |a Database Marketing in Tourism. | ||
| 653 | |a Fundamentals of Big Data Analytics in Tourism. | ||
| 653 | |a Fundamentals of Marketing Information Systems in Tourism. | ||
| 653 | |a Integration of Marketing Information Systems and Big Data Analytics. | ||
| 653 | |a Leveraging Marketing Information Systems for Tourism. | ||
| 653 | |a Marketing Information Systems and BDA Integration Challenges. | ||
| 653 | |a Marketing Information Systems Usage in Tourism. | ||
| 653 | |a Marketing Intelligence Systems in Tourism. | ||
| 653 | |a Promoting Touristic Destinations. | ||
| 653 | |a Techniques for Big Data Analytics in Tourism. | ||
| 653 | |a Tourism Destination Promotion. | ||
| 653 | |a Touristic Sector Analytics. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Albattat, Ahmad, |e editor. | |
| 700 | 1 | |a Hashem, Tareq Nael, |e editor. | |
| 700 | 1 | |a Sharma, Anukrati, |e editor. | |
| 700 | 1 | |a Valeri, Marco, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369333105 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3310-5 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00335466 |
|---|---|
| _version_ | 1816797088177979392 |
| adam_text | |
| any_adam_object | |
| author2 | Albattat, Ahmad Hashem, Tareq Nael Sharma, Anukrati Valeri, Marco |
| author2_role | edt edt edt edt |
| author2_variant | a a aa t n h tn tnh a s as m v mv |
| author_facet | Albattat, Ahmad Hashem, Tareq Nael Sharma, Anukrati Valeri, Marco |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | G - Geography, Anthropology, Recreation |
| callnumber-label | G156 |
| callnumber-raw | G156.5.I5 M37 2024e |
| callnumber-search | G156.5.I5 M37 2024e |
| callnumber-sort | G 3156.5 I5 M37 42024E |
| callnumber-subject | G - General Geography |
| collection | ZDB-98-IGB |
| contents | Chapter 1. A future look at artificial intelligence in the world of tourism -- Chapter 2. Bridging the digital divide: unleashing the power of big data analytics for touristic destination promotion -- Chapter 3. Data fusion for destination success: exploring the integration of MKIS and BDA in marketing touristic destinations -- Chapter 4. Exploring the consumer profile of the museum of futebol clube do porto through online reviews: a study using tripadvisor data -- Chapter 5. From insight to advantage: harnessing the potential of marketing intelligence systems in tourism -- Chapter 6. Leveraging virtual reality (VR) and augmented reality (AR) for enhanced tourism and event marketing: a data-driven approach -- Chapter 7. Marketing strategies for medical tourism in India amongst gulf countries: an empirical study -- Chapter 8. Personalization of travel experiences through data analytics: a case study in amusement parks -- Chapter 9. Techniques and tools for big data analytics in the tourism sector -- Chapter 10. Tomorrow's travel companion: the role of artificial intelligence in shaping the future of tourism -- Chapter 11. Unlocking the power of data: exploring the dynamic role of MKIS in revolutionizing tourism marketing -- Chapter 12. Utilizing marketing information systems and big data analytics in promoting tourism destinations -- Chapter 13. Utilisation of marketing information systems in the tourism marketing sector. |
| ctrlnum | (CaBNVSL)slc00005942 (OCoLC)1434591109 |
| dewey-full | 910.285 |
| dewey-hundreds | 900 - History & geography |
| dewey-ones | 910 - Geography and travel |
| dewey-raw | 910.285 |
| dewey-search | 910.285 |
| dewey-sort | 3910.285 |
| dewey-tens | 910 - Geography and travel |
| discipline | Geographie |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00335466 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369333112 |
| language | English |
| oclc_num | 1434591109 |
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| physical | 20 PDFs (294 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
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| publisher | IGI Global, |
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| spelling | Marketing and big data analytics in tourism and events Tareq Nael Hashem, Ahmad Albattat, Marco Valeri, Anukrati Sharma, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 20 PDFs (294 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. A future look at artificial intelligence in the world of tourism -- Chapter 2. Bridging the digital divide: unleashing the power of big data analytics for touristic destination promotion -- Chapter 3. Data fusion for destination success: exploring the integration of MKIS and BDA in marketing touristic destinations -- Chapter 4. Exploring the consumer profile of the museum of futebol clube do porto through online reviews: a study using tripadvisor data -- Chapter 5. From insight to advantage: harnessing the potential of marketing intelligence systems in tourism -- Chapter 6. Leveraging virtual reality (VR) and augmented reality (AR) for enhanced tourism and event marketing: a data-driven approach -- Chapter 7. Marketing strategies for medical tourism in India amongst gulf countries: an empirical study -- Chapter 8. Personalization of travel experiences through data analytics: a case study in amusement parks -- Chapter 9. Techniques and tools for big data analytics in the tourism sector -- Chapter 10. Tomorrow's travel companion: the role of artificial intelligence in shaping the future of tourism -- Chapter 11. Unlocking the power of data: exploring the dynamic role of MKIS in revolutionizing tourism marketing -- Chapter 12. Utilizing marketing information systems and big data analytics in promoting tourism destinations -- Chapter 13. Utilisation of marketing information systems in the tourism marketing sector. Restricted to subscribers or individual electronic text purchasers. "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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Artificial intelligence Marketing applications. Big data. Tourism Technological innovations. Artificial Intelligence in Tourism. Big Data Analytics Implementation Challenges. Big Data Analytics Tools for Tourism. Database Marketing in Tourism. Fundamentals of Big Data Analytics in Tourism. Fundamentals of Marketing Information Systems in Tourism. Integration of Marketing Information Systems and Big Data Analytics. Leveraging Marketing Information Systems for Tourism. Marketing Information Systems and BDA Integration Challenges. Marketing Information Systems Usage in Tourism. Marketing Intelligence Systems in Tourism. Promoting Touristic Destinations. Techniques for Big Data Analytics in Tourism. Tourism Destination Promotion. Touristic Sector Analytics. Electronic books. Albattat, Ahmad, editor. Hashem, Tareq Nael, editor. Sharma, Anukrati, editor. Valeri, Marco, editor. IGI Global, publisher. Print version: 9798369333105 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3310-5 Volltext |
| spellingShingle | Marketing and big data analytics in tourism and events Chapter 1. A future look at artificial intelligence in the world of tourism -- Chapter 2. Bridging the digital divide: unleashing the power of big data analytics for touristic destination promotion -- Chapter 3. Data fusion for destination success: exploring the integration of MKIS and BDA in marketing touristic destinations -- Chapter 4. Exploring the consumer profile of the museum of futebol clube do porto through online reviews: a study using tripadvisor data -- Chapter 5. From insight to advantage: harnessing the potential of marketing intelligence systems in tourism -- Chapter 6. Leveraging virtual reality (VR) and augmented reality (AR) for enhanced tourism and event marketing: a data-driven approach -- Chapter 7. Marketing strategies for medical tourism in India amongst gulf countries: an empirical study -- Chapter 8. Personalization of travel experiences through data analytics: a case study in amusement parks -- Chapter 9. Techniques and tools for big data analytics in the tourism sector -- Chapter 10. Tomorrow's travel companion: the role of artificial intelligence in shaping the future of tourism -- Chapter 11. Unlocking the power of data: exploring the dynamic role of MKIS in revolutionizing tourism marketing -- Chapter 12. Utilizing marketing information systems and big data analytics in promoting tourism destinations -- Chapter 13. Utilisation of marketing information systems in the tourism marketing sector. Artificial intelligence Marketing applications. Big data. Tourism Technological innovations. |
| title | Marketing and big data analytics in tourism and events |
| title_auth | Marketing and big data analytics in tourism and events |
| title_exact_search | Marketing and big data analytics in tourism and events |
| title_full | Marketing and big data analytics in tourism and events Tareq Nael Hashem, Ahmad Albattat, Marco Valeri, Anukrati Sharma, editor. |
| title_fullStr | Marketing and big data analytics in tourism and events Tareq Nael Hashem, Ahmad Albattat, Marco Valeri, Anukrati Sharma, editor. |
| title_full_unstemmed | Marketing and big data analytics in tourism and events Tareq Nael Hashem, Ahmad Albattat, Marco Valeri, Anukrati Sharma, editor. |
| title_short | Marketing and big data analytics in tourism and events |
| title_sort | marketing and big data analytics in tourism and events |
| topic | Artificial intelligence Marketing applications. Big data. Tourism Technological innovations. |
| topic_facet | Artificial intelligence Marketing applications. Big data. Tourism Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3310-5 |
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