Measuring consumer behavior in hospitality for enhanced decision making:
"In the digital environment, suppliers can collect complementary information to consolidate knowledge about the customers, preferences and expectations that will make the visited hotel or place unique. Simultaneously, transform tourist experiences into a memory associated with travel, full of e...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
| Schriftenreihe: | Advances in hospitality, tourism, and the services industry (AHTSI)
|
| Schlagworte: | |
| Online-Zugang: | DE-706 DE-83 DE-898 DE-1050 Volltext |
| Zusammenfassung: | "In the digital environment, suppliers can collect complementary information to consolidate knowledge about the customers, preferences and expectations that will make the visited hotel or place unique. Simultaneously, transform tourist experiences into a memory associated with travel, full of emotions and sensory impressions, contribute to the sustainability of local populations, reduce inequalities, and cooperate to improve the quality of the guest experiences. This book differs from others in the same areas because it aims to place the emphasis on using big data, to obtain more collect more accurate and detailed information to gain a 360 view of customers, considering ICT as the main driver that creates the development environment and enhances the tourist experience in general, making it a more sustainable and intelligent tourist destination The analysis of all the customers' touchpoints, such as browsing history, social media, email, and call centre, enables companies to gain a much more complete and deeper understanding of customer behaviour { what ads attract them, why they buy, how they shop, what they buy together, what they'll buy next, why they switch, how they recommend a product/service in their social network, etc. with the aim to increase customer satisfaction and revenue. Currently, and in a transversal way, the digital transformation is a growing presence in the lives of all the partners that to the tourism system. Hence the relevance of studying this relationship through the development of research in the areas of hospitality, guest intelligence, and customer insights will help to increase the development of the value-added to the tourism experiences in the tourism destinations"-- |
| Beschreibung: | 1 Online-Ressource (xx, 295 Seiten) Diagramme |
| DOI: | 10.4018/978-1-6684-6607-0 |
Internformat
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| 245 | 1 | 0 | |a Measuring consumer behavior in hospitality for enhanced decision making |c Célia M.Q. Ramos (CinTurs, ESGHT, University of the Algarve, Portugal), Carlos M.R. Sousa (ESGHT, CiTUR, University of the Algarve, Portugal), Nelson M.S. Matos (CinTurs, ESGHT, University of the Algarve, Portugal), Rashed Isam Ashqar (CinTurs, ESGHT, University of the Algarve, Portugal) |
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| 520 | |a "In the digital environment, suppliers can collect complementary information to consolidate knowledge about the customers, preferences and expectations that will make the visited hotel or place unique. Simultaneously, transform tourist experiences into a memory associated with travel, full of emotions and sensory impressions, contribute to the sustainability of local populations, reduce inequalities, and cooperate to improve the quality of the guest experiences. This book differs from others in the same areas because it aims to place the emphasis on using big data, to obtain more collect more accurate and detailed information to gain a 360 view of customers, considering ICT as the main driver that creates the development environment and enhances the tourist experience in general, making it a more sustainable and intelligent tourist destination The analysis of all the customers' touchpoints, such as browsing history, social media, email, and call centre, enables companies to gain a much more complete and deeper understanding of customer behaviour { what ads attract them, why they buy, how they shop, what they buy together, what they'll buy next, why they switch, how they recommend a product/service in their social network, etc. with the aim to increase customer satisfaction and revenue. Currently, and in a transversal way, the digital transformation is a growing presence in the lives of all the partners that to the tourism system. Hence the relevance of studying this relationship through the development of research in the areas of hospitality, guest intelligence, and customer insights will help to increase the development of the value-added to the tourism experiences in the tourism destinations"-- | ||
| 650 | 4 | |a Consumer behavior | |
| 650 | 4 | |a Consumer satisfaction | |
| 650 | 4 | |a Hospitality industry / Customer services / Research | |
| 650 | 4 | |a Big data | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Consumer behavior |2 fast | |
| 650 | 7 | |a Consumer satisfaction |2 fast | |
| 700 | 1 | |a Ramos, Célia M. Q. |0 (DE-588)1199966657 |4 edt | |
| 700 | 1 | |a Sousa, Carlos Manuel Ramos |4 edt | |
| 700 | 1 | |a deMatos, Nelson Manuel da Silva |0 (DE-588)1238107656 |4 edt | |
| 700 | 1 | |a Ashgar, Rashed Isam |4 edt | |
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| language | English |
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| series2 | Advances in hospitality, tourism, and the services industry (AHTSI) |
| spelling | Measuring consumer behavior in hospitality for enhanced decision making Célia M.Q. Ramos (CinTurs, ESGHT, University of the Algarve, Portugal), Carlos M.R. Sousa (ESGHT, CiTUR, University of the Algarve, Portugal), Nelson M.S. Matos (CinTurs, ESGHT, University of the Algarve, Portugal), Rashed Isam Ashqar (CinTurs, ESGHT, University of the Algarve, Portugal) Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xx, 295 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in hospitality, tourism, and the services industry (AHTSI) "In the digital environment, suppliers can collect complementary information to consolidate knowledge about the customers, preferences and expectations that will make the visited hotel or place unique. Simultaneously, transform tourist experiences into a memory associated with travel, full of emotions and sensory impressions, contribute to the sustainability of local populations, reduce inequalities, and cooperate to improve the quality of the guest experiences. This book differs from others in the same areas because it aims to place the emphasis on using big data, to obtain more collect more accurate and detailed information to gain a 360 view of customers, considering ICT as the main driver that creates the development environment and enhances the tourist experience in general, making it a more sustainable and intelligent tourist destination The analysis of all the customers' touchpoints, such as browsing history, social media, email, and call centre, enables companies to gain a much more complete and deeper understanding of customer behaviour { what ads attract them, why they buy, how they shop, what they buy together, what they'll buy next, why they switch, how they recommend a product/service in their social network, etc. with the aim to increase customer satisfaction and revenue. Currently, and in a transversal way, the digital transformation is a growing presence in the lives of all the partners that to the tourism system. Hence the relevance of studying this relationship through the development of research in the areas of hospitality, guest intelligence, and customer insights will help to increase the development of the value-added to the tourism experiences in the tourism destinations"-- Consumer behavior Consumer satisfaction Hospitality industry / Customer services / Research Big data Big data fast Consumer behavior fast Consumer satisfaction fast Ramos, Célia M. Q. (DE-588)1199966657 edt Sousa, Carlos Manuel Ramos edt deMatos, Nelson Manuel da Silva (DE-588)1238107656 edt Ashgar, Rashed Isam edt https://doi.org/10.4018/978-1-6684-6607-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Measuring consumer behavior in hospitality for enhanced decision making Consumer behavior Consumer satisfaction Hospitality industry / Customer services / Research Big data Big data fast Consumer behavior fast Consumer satisfaction fast |
| title | Measuring consumer behavior in hospitality for enhanced decision making |
| title_auth | Measuring consumer behavior in hospitality for enhanced decision making |
| title_exact_search | Measuring consumer behavior in hospitality for enhanced decision making |
| title_exact_search_txtP | Measuring consumer behavior in hospitality for enhanced decision making |
| title_full | Measuring consumer behavior in hospitality for enhanced decision making Célia M.Q. Ramos (CinTurs, ESGHT, University of the Algarve, Portugal), Carlos M.R. Sousa (ESGHT, CiTUR, University of the Algarve, Portugal), Nelson M.S. Matos (CinTurs, ESGHT, University of the Algarve, Portugal), Rashed Isam Ashqar (CinTurs, ESGHT, University of the Algarve, Portugal) |
| title_fullStr | Measuring consumer behavior in hospitality for enhanced decision making Célia M.Q. Ramos (CinTurs, ESGHT, University of the Algarve, Portugal), Carlos M.R. Sousa (ESGHT, CiTUR, University of the Algarve, Portugal), Nelson M.S. Matos (CinTurs, ESGHT, University of the Algarve, Portugal), Rashed Isam Ashqar (CinTurs, ESGHT, University of the Algarve, Portugal) |
| title_full_unstemmed | Measuring consumer behavior in hospitality for enhanced decision making Célia M.Q. Ramos (CinTurs, ESGHT, University of the Algarve, Portugal), Carlos M.R. Sousa (ESGHT, CiTUR, University of the Algarve, Portugal), Nelson M.S. Matos (CinTurs, ESGHT, University of the Algarve, Portugal), Rashed Isam Ashqar (CinTurs, ESGHT, University of the Algarve, Portugal) |
| title_short | Measuring consumer behavior in hospitality for enhanced decision making |
| title_sort | measuring consumer behavior in hospitality for enhanced decision making |
| topic | Consumer behavior Consumer satisfaction Hospitality industry / Customer services / Research Big data Big data fast Consumer behavior fast Consumer satisfaction fast |
| topic_facet | Consumer behavior Consumer satisfaction Hospitality industry / Customer services / Research Big data |
| url | https://doi.org/10.4018/978-1-6684-6607-0 |
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