Index
Advances in Hospitality and Leisure
ISBN: 978-1-80071-273-7, eISBN: 978-1-80071-272-0
ISSN: 1745-3542
Publication date: 26 November 2021
This content is currently only available as a PDF
Citation
(2021), "Index", Chen, J.S. (Ed.) Advances in Hospitality and Leisure (Advances in Hospitality and Leisure, Vol. 17), Emerald Publishing Limited, Leeds, pp. 175-178. https://doi.org/10.1108/S1745-354220210000017013
Publisher
:Emerald Publishing Limited
Copyright © 2022 by Emerald Publishing Limited
INDEX
Airbnb
, 55–57
accommodation
, 59
characteristics
, 66–68
dark side of
, 62–63
data analysis
, 68–69
data collection
, 63–66
descriptive statistics
, 69–71
drivers of
, 58
factor analysis
, 71–73
logistic models
, 73, 76, 78
multi-hosts
, 59–60
Netflix
, 59–60
vs. non-Airbnb users
, 58–59
social interaction
, 58
Amazon Mechanical Turk (AMT)
, 63
Ambiance elements
, 11–14
Atmosphere
, 7–8, 25–26, 122–123, 132
Average variance extracted (AVE)
, 45
Bar. See also Costa Rica
, 5, 14, 17–18
air
, 13
ambiance elements
, 11–14
atmosphere
, 7–8
background noise
, 13
colors
, 12
Costa Rica
, 9
lighting
, 12
music
, 12
odors
, 13
patron data
, 6
patron quality
, 10–11
patron quantity
, 10
scents
, 13–14
security personnel
, 11
service-scape elements
, 6–7
service staff
, 11
social elements
, 10–11
Barscape
, 4
Cost Rica
, 4
features and patron behaviors
, 8
music
, 12
Costa Rica (CR). See also Bar
, 4
bars
, 9
servicescape elements
, 4
Couchsurfing
, 56
COVID-19
, 17, 87
adverse effects of
, 166
impact of
, 169
precautionary measure
, 165
Uzbekistan
, 164, 166
willingness to pay (WTP)
, 99
world tourism industry
, 165
Customer loyalty
, 26–27, 122–123
Customer relationship management (CRM)
, 130
implementation
, 130
limitation
, 141–142
management change initiative
, 133–134
measures
, 135–136
organizational readiness for
, 132
technology and organizational readiness
, 133–134
Customer Retention
, 22–25
Customer Loyalty and
, 25–26
Ghana
, 22–23
Reliability Quality
, 30–32
Service Quality and
, 25
Tangible Quality
, 30–32
Customer Satisfaction
, 25–26
mediating role of
, 26–27
Reliability Quality
, 30–32
Tangible Quality
, 30–32
Destination affective image
, 107–109, 115, 117
Destination cognitive image
, 107–108, 110, 117
Economic Recovery Program (ERP)
, 21–22
Economy of access
, 56–57
Economy of ownership
, 56–57
Environmental attitudes
, 149, 151, 158–159
correlation analysis
, 153
data collection
, 152
hypothesis
, 151–152
questionnaire design
, 152
scale reliability and sample profile
, 153
sociodemographic traits
, 153–158
Environmentally responsible behaviors (ERBs)
, 37, 39, 49, 51
confirmatory factor analysis
, 45
data analysis
, 45
hypotheses
, 47
overall model’s goodness of fit
, 46–47
profile of respondents
, 45
research instrument
, 43–44
sampling
, 44
scale reliability
, 44
study site
, 43
Experiential tourism
, 86–87
Ghana
, 21–23
Ghana service quality
, 32
Glass igloo hotels (GIHs)
, 86–88, 98–99
data analysis
, 92–93
evaluation of attributes
, 96–97
experience economy
, 86–87
hedonic pricing
, 90–91
luxury experience
, 98
profile of respondents
, 93
reasons for stay
, 97
willingness to pay (WTP)
, 89–90, 93, 95–96
Goodness of fit index (GFI)
, 115
Greater Metro Area (GAM)
, 8
Hedonic pricing
, 90–91
data analysis
, 92–93
willingness to pay (WTP)
, 90
Hospitality
, 4
COVID-19
, 87
cultural context and
, 5
limitation
, 17
patron quantity
, 10
Hosts’ professionalization
, 59–60
Hotel attributes
, 96
Hotel industry
, 21–22
Customer Loyalty
, 32
Customer Retention
, 25–26
Customer Satisfaction
, 25–26
Ghana
, 130–131
hedonic pricing
, 91
Malaysia
, 25–26
reliability
, 32–33
Information and communications technology (ICT)
, 55–56
Leisure
, 71–72, 108
Lodging quality index (LQI)
, 22–23
Logistic regression
, 69
dependent variables
, 79
goodness of fit
, 69
Management change initiatives (MCI)
Ghana
, 139
organizational readiness and
, 132–133
technology and organizational readiness
, 133–135
Measure of sampling adequacy (MSA)
, 71
Memorable tourism experiences
, 104–105, 108
destination cognitive image
, 115
Multi-hosts
, 59–60, 62–63
Netflix
, 59–60
Organizational culture
, 134–136
Organizational readiness
, 130–131, 139, 142
common method variance (CMV)
, 137
customer relationship management (CRM)
, 132
data collection
, 135
management change initiatives and
, 132–133
measures
, 135–136
model characteristics
, 136–137
model estimations
, 137–138
procedure
, 136
Patron quality
, 10–11
Patron quantity
, 10
Perceived restorativeness (PR)
, 37, 39–40, 49, 51
confirmatory factor analysis
, 45
environmentally responsible behavior (ERB)
, 40–41
method
, 43–45
overall model’s goodness of fit
, 46–47
profile of respondents
, 45
research hypotheses
, 41–42
Place attachment
, 106–107
academic background
, 153–155
causal relationship
, 155
Cronbach’s alpha score
, 153
definition
, 149–150
emotional relationship
, 150
factors
, 150
human society
, 150–151
hypothesis
, 151
questionnaire
, 152
and sociodemographic traits
, 156
Platform economy
, 56
Preferences
barscape
, 11–12
crowding
, 10
environmental
, 41
musical
, 12
servicescape
, 17
Pseudo-sharing
, 56
Regression analysis
, 90, 158
Revisit intention (RI)
, 10
Customer Satisfaction
, 26–27
destination image and
, 105
memorable tourism experiences
, 117
tourist satisfaction and
, 104
Rice field
, 39, 50–51
Root mean square error of approximation (RMSEA)
, 115
Rural tourism
, 17
Satisfaction
, 109–110
Service Quality
, 25
Servicescape
, 4
bars
, 7
consumer behavior
, 5–6
culture/hospitality setting
, 4
social
, 14
Service staff
, 11
Sharing economy
, 55–56
Airbnb
, 57
deregulation
, 56–57
professionalization of supply
, 57–63
Social
, 6
ecology
, 42
elements
, 10–11
exchange
, 24
interaction
, 57
justice
, 24
relationships
, 106–107
security
, 169
Social sharing economy
, 58
South Pacific islands
, 105, 112–113, 123
State support
, 168–170
Taiwan
data collection
, 152
Eastern
, 39
fast food industry
, 32
Northern
, 45
rural area
, 39
Southern
, 45
Tourism
development
, 21–22
ecological degradation
, 38
experiential
, 86–87
Ghana
, 135
global warming
, 38
individual mass
, 59
industry
, 164
memorable. See also Memorable tourism experiences
, 104
Tucker–Lewis index (TLI)
, 115
University
, 7–8, 45, 151, 157
Use of technology
, 133–134, 141
Uzbekistan
, 164
COVID-19
, 164
postpandemic relief measures
, 171
state support
, 169–170
supply-side perspective
, 167
Willingness to pay (WTP)
, 63, 89
factors affecting
, 89–90
hedonic pricing
, 90–91
methods to measure
, 90
- Prelims
- Full Papers
- It's Ultimately Social: Exploring the Costa Rican Bar Servicescape
- Hotel Customer Retention: A Study of Customers’ Perspectives in an Emerging Market
- Perceived Restorativeness on Tourists’ Environmentally Responsible Behavior: A Case of a Rice Field Landscape
- Airbnb's Guests' Rating of Host's Professional Qualities
- Glass Igloo Hotels: An Investigation of Consumers' Willingness to Pay
- Memorable Tourism Experiences, Destination Image, Satisfaction, and Revisit Intention of Chinese Outbound Tourists to South Pacific Islands
- Organizational Readiness: Key to Successful CRM Implementation in Hotel Industry
- Research Notes
- The Nostalgic Influence of Place Attachment on Environmental Attitudes
- Impact of COVID-19 on the Tourism Industry of Uzbekistan and State Support during the Pandemic
- Index