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Measuring consumer behavior in hospitality for enhanced decision making

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Measuring consumer behavior in hospitality for enhanced decision making/ edited by Célia M.Q. Ramos, Carlos Manuel Ramos Sousa, Nelson Manuel da Silva deMatos, Rashed Isam Ashqar.
other author:	Ashqar, Rashed Isam.
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (295 p.)
Subject:	Big data. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6607-0
ISBN:	9781668466094 (electronic bk.)

Measuring consumer behavior in hospitality for enhanced decision making
Measuring consumer behavior in hospitality for enhanced decision making[electronic resource] /edited by Célia M.Q. Ramos, Carlos Manuel Ramos Sousa, Nelson Manuel da Silva deMatos, Rashed Isam Ashqar. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (295 p.)

Includes bibliographical references and index.

Section 1. Hospitality. Chapter 1. Impacts of smart technology on customer experience: from perspective of hotel frontline staff ; Chapter 2. Capital indicators for hotel customer experience to support strategic management ; Chapter3. The role of the internet in pre-trip stage: the Portuguese case ; Chapter 4. Tourist intelligence as the basis for the design of a dashboard indicator for a digital, intelligent, and connected hotel (DCIH) with a smart tourist destination -- Section 2. Travel behavior. Chapter 5. The influence of mobile devices on the travel behavior of millennials (Gen Y) ; Chapter 6. Critical essay on emerging, transformative, and disruptive companies influencing consumer behaviour ; Chapter 7. Analysis of Portugal S wine certifying entities' social networks as communication channels ; Chapter 8. Sensory marketing: the purpose of sensory stimuli in consumer behaviour in the context of the retail environment ; Chapter 9. Exploring the influence of culture on website design in Canadian and Chinese e-commerce: a data analysis ; Chapter 10. Assessing the effect of the COVID-19 crisis in airline price-setting strategies to tourism destinations: a big data approach ; Chapter 11. The relationship between service quality and customer satisfaction in the airline industry: a meta-analysis study.

"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"--

ISBN: 9781668466094 (electronic bk.)Subjects--Topical Terms:

981821
Big data.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: HF5415.32 / .M43 2023e

Dewey Class. No.: 658.8/342

Measuring consumer behavior in hospitality for enhanced decision making
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245 0 0 $a Measuring consumer behavior in hospitality for enhanced decision making $h [electronic resource] / $c edited by Célia M.Q. Ramos, Carlos Manuel Ramos Sousa, Nelson Manuel da Silva deMatos, Rashed Isam Ashqar.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (295 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Hospitality. Chapter 1. Impacts of smart technology on customer experience: from perspective of hotel frontline staff ; Chapter 2. Capital indicators for hotel customer experience to support strategic management ; Chapter3. The role of the internet in pre-trip stage: the Portuguese case ; Chapter 4. Tourist intelligence as the basis for the design of a dashboard indicator for a digital, intelligent, and connected hotel (DCIH) with a smart tourist destination -- Section 2. Travel behavior. Chapter 5. The influence of mobile devices on the travel behavior of millennials (Gen Y) ; Chapter 6. Critical essay on emerging, transformative, and disruptive companies influencing consumer behaviour ; Chapter 7. Analysis of Portugal S wine certifying entities' social networks as communication channels ; Chapter 8. Sensory marketing: the purpose of sensory stimuli in consumer behaviour in the context of the retail environment ; Chapter 9. Exploring the influence of culture on website design in Canadian and Chinese e-commerce: a data analysis ; Chapter 10. Assessing the effect of the COVID-19 crisis in airline price-setting strategies to tourism destinations: a big data approach ; Chapter 11. The relationship between service quality and customer satisfaction in the airline industry: a meta-analysis study.
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"-- $c Provided by publisher.
650 0 $a Big data. $3 981821
650 0 $a Hospitality industry $x Customer services $x Research. $3 1427428
650 0 $a Consumer satisfaction. $3 562610
650 0 $a Consumer behavior. $3 560272
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Ashqar, Rashed Isam. $3 1427427
700 1 $a Silva deMatos, Nelson Manuel da. $3 1427426
700 1 $a Sousa, Carlos Manuel Ramos, $d 1965-. $3 1427425
700 1 $a Ramos, Célia M. Q. $3 1427424
710 2 $a IGI Global. $3 805187
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6607-0