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Customer Willingness to Pay for All-Inclusive Resorts : = A Choice-Based Conjoint Analysis.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Customer Willingness to Pay for All-Inclusive Resorts :/
其他題名:
A Choice-Based Conjoint Analysis.
作者:
Zhang, Liheng.
面頁冊數:
1 online resource (208 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
Contained By:
Dissertations Abstracts International84-12A.
標題:
Behavioral psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30000170click for full text (PQDT)
ISBN:
9798379660123
Customer Willingness to Pay for All-Inclusive Resorts : = A Choice-Based Conjoint Analysis.
Zhang, Liheng.
Customer Willingness to Pay for All-Inclusive Resorts :
A Choice-Based Conjoint Analysis. - 1 online resource (208 pages)
Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
Thesis (Ph.D.)--University of Nevada, Las Vegas, 2022.
Includes bibliographical references
This dissertation examined customers' willingness to pay for all-inclusive resorts using choice theory, the theory of bundling, and prospect theory. This dissertation also contributed to the current research by determining (a) the attributes that affect customers' willingness to pay for an all-inclusive resort and (b) whether a reference price will affect customers' willingness to pay. We also take into account the effect of the COVID-19 pandemic on customers and whether the pandemic will influence customers' purchase behavior at this particular time. The choice-based conjoint analysis results showed that all eleven attributes-price, hotel star rating, type of room, location, food options, beverage options, local food, beverage brand, off-property activities, wellness services, and private beach access-have a significant impact on customers' willingness to pay. Price was the most influential attribute in all-inclusive resort selection (37.49%) of importance, followed by location (13.49%), hotel star rating (10.09%), off-property activities (6.44%), food options (6.35%), type of room (5.38%), beverage options (5.16%), wellness services (5.04%), private beach access (5.04%), beverage brand (2.90%), and local food (2.61%). Internal reference price does not have a significant impact on customers' willingness to pay. Employment status, household income, and perceived risk levels varied significantly between the groups.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798379660123Subjects--Topical Terms:
2122788
Behavioral psychology.
Subjects--Index Terms:
Economic theory of bundlingIndex Terms--Genre/Form:
542853
Electronic books.
Customer Willingness to Pay for All-Inclusive Resorts : = A Choice-Based Conjoint Analysis.
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Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
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This dissertation examined customers' willingness to pay for all-inclusive resorts using choice theory, the theory of bundling, and prospect theory. This dissertation also contributed to the current research by determining (a) the attributes that affect customers' willingness to pay for an all-inclusive resort and (b) whether a reference price will affect customers' willingness to pay. We also take into account the effect of the COVID-19 pandemic on customers and whether the pandemic will influence customers' purchase behavior at this particular time. The choice-based conjoint analysis results showed that all eleven attributes-price, hotel star rating, type of room, location, food options, beverage options, local food, beverage brand, off-property activities, wellness services, and private beach access-have a significant impact on customers' willingness to pay. Price was the most influential attribute in all-inclusive resort selection (37.49%) of importance, followed by location (13.49%), hotel star rating (10.09%), off-property activities (6.44%), food options (6.35%), type of room (5.38%), beverage options (5.16%), wellness services (5.04%), private beach access (5.04%), beverage brand (2.90%), and local food (2.61%). Internal reference price does not have a significant impact on customers' willingness to pay. Employment status, household income, and perceived risk levels varied significantly between the groups.
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