Marketing innovations for sustainable destinations
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| Sprache: | English |
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Goodfellow Publ.
2009
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Datensatz im Suchindex
| _version_ | 1819790526772150272 |
|---|---|
| adam_text | Titel: Marketing innovations for sustainable destinations
Autor: Fyall, Alan
Jahr: 2009
Contents
List of figures v
List of tables vi
Contributors viii
About the editors x
1 Introduction: marketing innovations for sustainable destinations 1
Luisa Andreu, Alan Fyall, Metin Kozak, Juergen Gnoth and Sonja Sibila Lebe
Part I: Consumer Decision Making and Tourist Experiences
2 Advertising and word of mouth in tourism, a simulation study 13
Rodolfo Baggio, Chris Cooper, Noel Scotland Magda Antonioli Corigliano
3 Infosource scale: a measure to assess external tourism information sources
importance 23
Claudia Seabra, Lufs Filipe Lages and Jose Lufs Abrantes
4 European tourist destinations in internet search engines: a comparison 34
Estrella Diaz, David Martfn-Consuegra, Agueda Esteban and Juan Jose Blazquez
5 Rejuvenating touristic consumption: from a cognitive approach to a symbolic
intent of modelisation 54
Vivien R. Moinat and Pablo L de Diesbach
6 The role of emotions in consumer decision making for budget city breaks 66
Diana Ene and Peter Schofield
7 Tourist decision strategies in a multi-level perspective 80
Alain Decrop and Metin Kozak
8 Push motivations for tourism mountain destinations 92
Carla Silva, Jose Lufs Abrantes and Carmen Lages
9 Perceived authenticity of cultural heritage sites: towards an integrative
conceptual model 102
Tomaz Kolar and Vesna Zabkar
10 Assessing mainland Chinese tourists satisfaction with Hong Kong using the
Tourist Satisfaction Index 113
Haiyan Song, Gang Li, Robert Van Der Veen and Jason L. Chen
11 Angry or regretful? The effect of dissatisfaction on tourists negative
word-of-mouth and exit 123
Enrique Bigne Alcaniz, Isabel Sanchez Garcia, Rafael Curras Perez and Luisa
Andreu Simo
iv Marketing Innovations for Sustainable Destinations
12 The concept of travel horizon revisted: toward more relevance of past travel
experience 139
Karin Teichmann and Andreas H. Zins
Part II: Destination Image, Positioning and Branding
13 Assessing the international image of an urban destination:
the case of Milan 153
Francesca d Angella and Manuela De Carlo
14 A study of non-visitors: which image do they hold of destinations
not visited 166
Isabelle Frochot, Luc Mazuel and Armelle Maumelat
15 Effect of controllable and non-controllable sources of information on
the image of Turkey 179
Sara Campo Martinez and Maria D. Alvarez
16 We ll all go down together : the marketing response of Australia s
outback destination to recent declines in performance 189
Dean Carson and Andrew Taylor
17 The prospects and challenges of positioning Ghana as a preferred
African-American tourist destination 203
Ishmael Mensah and Eunice Amissah
18 Sports tourism and motorsports - an exploration 216
Bruce Braham
19 Marketing and managing nation branding during prolonged crisis:
the case of Israel 230
Eli Avraham
20 Is the strategy of becoming the Las Vegas of Asia working for Macau?
? A co-branding perspective 243
Leonardo (Don) A.N. Dioko and Siu-lan (Amy) So
21 Towards a tourism brand personality taxonomy: a survey of practices 254
Rosaria Pereira, Antonia Correia and Ronaldo Schutz
Part III: Destination Stakeholders and Networks
22 The role of brands in dialectical relationships between destination
and tourist products 271
Tonino Pencarelli and Simone Splendiani
23 The power of loose ties - networking for market diversification in
remote Australia 286
Doris Schmallegger
Contents
24 From marketing to market practices: assembling the ruin bars
of Budapest 299
Peter Lugosi and Peter Erdelyi
25 Determinants of hotel performance: continental or worldwide style? 311
Ruggero Sainaghi
26 An investigation into the relationship between marketability of a
destination and the long-term survival of hawkers 325
Christine Harris
List of Figures
Figure 2.1: The results of the simulations of the ADV process. FUP is the fraction of
elements with spin=+l, H is the external magnetic field, T is the temperature 18
Figure 2.2: The simulation of the WOM process. The curve represents the fraction of
informed individuals (FJ at each time step (tsrEP) 19
Figure 5.1: The cognitive approach 55
Figure 5.2: The emotional approach 56
Figure 5.3: The symbolic approach 57
Figure 6.1: Hansen s (2005) Integrated CDM Framework. 67
Figure 6.2: Integrated CDM Framework for short city breaks 69
Figure 7.1: Decision levels in tourist decision making 84
Figure 9.1: Integrative conceptual model of perceived authenticity 108
Figure 10.1: The sectoral level tourist satisfaction index model 115
Figure 10.2: The SEM for the hotel sector 118
Figure 10.3: The SEM for the retail shop sector 118
Figure 10.4: The SEM for travel agent sector 119
Figure 11.1: Theoretical model 127
Figure 11.2: Final estimated model 132
Figure 16.1: Australia s tourism regions highlighting the outback 191
Figure 18.1: The evolution of commercial sponsorship in motorsport 218
Figure 18.2: The duration of different types of motorsport sponsorship 219
Figure 22.1: Tourists, destination and tourist products 273
Figure 22.2: Case sub-region 275
Figure 22.3: Product unions in Emilia Romagna Region. 286
Figure 22.4: STLs, product unions and product clubs postioning matrix. 277
Figure 23.1: Map of the Flinders Ranges 290
Figure 24.1 Assemblage components 306
Figure 26.1: The relationship between the marketability of the destination and
the hawker s long-term future 326
vl Marketing Innovations for Sustainable Destinations
List of Tables
Table 3.1: The INFOSOURCE scale - Constructs, scale items and reliabilities 33
Table 4.1: European Tourist Destinations According to Number of Visitors 38
Table 4.2: Representation of tourism in European destinations (capital cities) in Google,
Yahoo, Microsoft and Ask. 40
Table 4.3: Representation of tourism in European destinations (non-capital cities) in
Google, Yahoo, Microsoft and Ask 41
Table 4.4: Highest presence of tourist categories for European capitals in Google, Yahoo,
Microsoft and Ask 44
Table 4.5: Lowest presence of tourist categories for European capitals in Google, Yahoo,
Microsoft and Ask 45
Table 4.6: Highest presence of tourist categories for European non-capitals in Google,
Yahoo, Microsoft and Ask 46
Table 4.7: Lowest presence of tourist categories for European non-capitals in Google,
Yahoo, Microsoft and Ask 47
Table 5.1: Comparison of the three approaches to understanding touristic consumption 65
Table 6.1: Dimensions of consumer decision making for budget city breaks 71
Table 6.2: Regression - level of satisfaction with budget city breaks on the dimensions 72
Table 6.3: Regression - intention to recommend the city break on the dimensions 72
Table 6.4: Regression - intention to repurchase the same product on the dimensions 73
Table 6.5: Regression - intention to purchase a similar product on the dimensions 73
Table 7.1: Description of the three choice alternatives presented to respondents in each
scenario 85
Table 7.2: Factor solution for decision strategies (VARIMAX rotation; N=408) 87
Table 7.3: Comparison of decision strategies across product levels 88
Table 7.4: Comparison of decision strategies across social levels 88
Table 7.5: Pearson correlations between decision strategies and age 88
Table 7.6: Comparison of decision strategies across educational level 88
Table 7.7: Pearson correlations between decision strategies and product involvement 88
Table 8.1: The MTPM Scale - Constructs, scale items and reliabilities 96
Table 9.1: Points and sources of divergence in the conceptualization of authenticity 104
Table 10.1: Profile of survey respondents 116
Table 11.1: Reliability and convergent validity of the measurement model 129
Table 11.2: Discriminant validity of the measurement model 130
Table 11.3: Structural Equation Modeling: causal relations analysis models 1 and 2 131
Table 11.4: Structural Equation Modeling: causal relations analysis final model 132
Table 12.1: Past and future destination horizon together with cultural and social
relationships 144
Table 12.2: Past and future destination horizon and perceived cultural distance
compared by two age groups 145
Table 12.3: Summary of regressions explaining 3 years destination planning horizon
for society clusters by four different models (R2- and adj.R2-coefficients) 146
Table 13.1 The items in the questionnaire 155
Table 13.2: Respondents profile 156
Contents vii
Table 13.3: The variance explained by the nine factors 158
Table 13.4: Differences in the perceived destination s image according to purpose
of the trip 160
Table 13.5: Accommodation chosen by respondents 160
Table 14.1: Spontaneous terms and drawings regarding Auvergne 172
Table 15.1: Descriptive statistics on the level of knowledge regarding Turkey 182
Table 15.2: Paired-samples t-test - data collected pre-stimuli exposure (n = 198) 183
Table 15.3: Paired-samples t-test - data pre- and post- stimuli exposure (n = 157) 184
Table 15.4: Paired-samples t-test - data pre- and post- stimuli exposure (n = 157) 184
Table 15.5: Mean differences between the groups: data post-stimuli exposure (n = 180) 185
Table 16.1: Tourism performance indicators, outback Australia 2001 - 2006 195
Table 17.1: Tourism inflows to Ghana by countries 1994-2002 203
Table 17.3: Slogans, cliches and images for positioning Ghana 208
Table 18.1: Total spectators for Malaysian Fl Grand Prix 222
Table 18.2: Percentage distribution of foreign and local spectators by intention to
attend future PMGP 223
Table 18.3: Government contributions to and returns on the 2007 Formula 1 Grands Prix 226
Table 20.1: Descriptive statistics for DBE and HBE as well as frequency counts for
each of the three categories of branded hotels 247
Table 20.2: Factor structure and scale item loadings of destination brand equity
(Macau) measures 248
Table 20.3: Factor structure and scale item loadings of hotel brand equity measures 249
Table 20.4: Logistic regression analysis (parameter estimates): Category of hotel as
a function of destination brand equity (DBE), hotel brand equity (HBE)
and primary purpose for visiting 250
Table 21.1: The five robust dimensions of personality 259
Table 21.2: Psychological five factors versus brand personality scale 262
Table 25.1: Periods and type of journals. 313
Table 25.2: Table dependent variables: Dimensions and indicators. 314
Table 25.3: Independent variables 315
Table 25.4: Research design 318
Table 25.2: Research styles 320
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| id | DE-604.BV035883997 |
| illustrated | Illustrated |
| indexdate | 2024-12-23T22:49:31Z |
| institution | BVB |
| isbn | 9781906884055 |
| language | English |
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| physical | XI, 334 S. graph. Darst., Kt. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
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| spellingShingle | Marketing innovations for sustainable destinations Umwelt Ecotourism Marketing Tourism Environmental aspects Tourism Marketing Reiseziel (DE-588)4177622-7 gnd Marketing (DE-588)4037589-4 gnd Tourismus (DE-588)4018406-7 gnd Fremdenverkehrsort (DE-588)4130979-0 gnd Fremdenverkehrsgebiet (DE-588)4155366-4 gnd |
| subject_GND | (DE-588)4177622-7 (DE-588)4037589-4 (DE-588)4018406-7 (DE-588)4130979-0 (DE-588)4155366-4 |
| title | Marketing innovations for sustainable destinations |
| title_auth | Marketing innovations for sustainable destinations |
| title_exact_search | Marketing innovations for sustainable destinations |
| title_full | Marketing innovations for sustainable destinations Ed.: Alan Fyall ... |
| title_fullStr | Marketing innovations for sustainable destinations Ed.: Alan Fyall ... |
| title_full_unstemmed | Marketing innovations for sustainable destinations Ed.: Alan Fyall ... |
| title_short | Marketing innovations for sustainable destinations |
| title_sort | marketing innovations for sustainable destinations |
| topic | Umwelt Ecotourism Marketing Tourism Environmental aspects Tourism Marketing Reiseziel (DE-588)4177622-7 gnd Marketing (DE-588)4037589-4 gnd Tourismus (DE-588)4018406-7 gnd Fremdenverkehrsort (DE-588)4130979-0 gnd Fremdenverkehrsgebiet (DE-588)4155366-4 gnd |
| topic_facet | Umwelt Ecotourism Marketing Tourism Environmental aspects Tourism Marketing Reiseziel Marketing Tourismus Fremdenverkehrsort Fremdenverkehrsgebiet |
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