Coorg Escorts 𼰠8617370543 Call Girls Offer VIP Hot Girls
Â
Destination Reputation in Online Media: Covered Topics and Perceived Online Dominant Opinion
1. Destination Reputation in Online Media:
Covered Topics and
Perceived Online Dominant Opinion
Ph.D. Dissertation
Elena Marchiori
Supervisor: prof. Lorenzo Cantoni
webatelier.net Lab, Faculty of Communication Sciences
UniversitĂ della Svizzera italiana, University of Lugano - Switzerland
2. Cultural identity
ď tension ď
Commerce
Tourism hedonic
consumption experience
Govers and Go, 2005, 2009
Xiang and Gretzel, 2009
context
theoretical
questions
classification
perceptions
findings
future
3. Cultural identity
ď tension ď
Commerce
eWOM
Govers and Go, 2005, 2009
Xiang and Gretzel, 2009
context
theoretical
questions
classification
perceptions
findings
future
4. Online public opinions are creating challenges for the tourism industry
Gretzel, 2006; Tussyadiah, et al, 2011; Xiang and Gretzel, 2009; Yang et al. 2008
context
theoretical
questions
classification
perceptions
findings
future
5. Rethinking
Place Branding strategies
eWOM â Social Media shift
from an âarchitectureâ brand perspectiveâŚ
Morgan et al. 2003, 2004; Go and Govers, 2009; Xiang and Gretzel, 2009
context
theoretical
questions
classification
perceptions
findings
future
6. ⌠to a âlive context perspectiveâ
Morgan et al. 2003, 2004; Go and Govers, 2009; Xiang and Gretzel, 2009
context
theoretical
questions
classification
perceptions
findings
future
7. eWOM
social
influence
Public opinions
Arndt, 1967; Katz and Lazarsfeld, 1955; Blackwell et al., 2001; Gruen et al.,
2006; Hennig-Thurau et al., 2004; Chen and Xie, 2008; Sharma et al., 2012;
Blackwell et al., 2001; Zhou and Moy, 2007
and
message
elaboration
⢠Agenda setting theory
(McCombs et al., 1972; Weaver et al., 1981; Noelle-Neumann, 1974; Ho
and McLeod, 2008)
⢠Social information processing
(Walther, 1992; 2009; Antheunis et al., 2010)
⢠Signaling theory (Connelly et al., 2011)
⢠Dual process theory
(Deutsch and Gerard, 1955; Chaiken and Trope, 1999; Cheung et al., 2009)
context
theoretical
questions
classification
perceptions
findings
future
12. Psychological
⢠simplification
⢠cognitive associations to an object
⢠might drive the behavior
Bergler, 1948; Jackman, 1990
context
theoretical
questions
classification
perceptions
findings
future
13. Psychological
Sociological
⢠collective agreement
⢠social construct
⢠give a degree of legitimacy to an actor
Lang & Lang, 1988; Camic, 1992
context
theoretical
questions
classification
perceptions
findings
future
15. Psychological
Sociological
Economic
Linguistic
reputation is a de-verbal noun, derived from the latin verb:
RE (prefix) = iteration of something- evaluative dimension
PUTO (verb) = opinion vs. exact information
puto
puto
re-
context
theoretical
questions
puto
puto
classification
puto
puto
perceptions
findings
future
16. Re 4. social/group of people 5. long-term/stable
Puto 1. opinion
3. relevant object
2. stakeholder
a. multidimensional experience
b. set of reference
values/standards
context
theoretical
questions
c. direct /
mediated
classification
perceptions
findings
future
17. Information provided by different sources
Longitudinal Study
De Ascaniis, Greco Morasso (2011); Inversini, Cantoni (2009)
(professional tools)
Re 4. social/group of people 5. long-term/stable
Puto 1. opinion
3. relevant object
2. stakeholder
Authors,
websiteâ s
owner
a. multidimensional experience
b. set of reference
values/standards
Arsal et al. (2008);
Mich, Kiyavitskaya
(2011); Zhu, Lai
(2009); Chiappa
(2011); Burgess et
al. (2009)
c. direct /
mediated
Judgments/ feelings expressed on the online conversation
Tourism
destination
multidimensional
categories
Dickinger et al. (2011);
Go, Govers (2005);
Tussyadiah, Fesenmaier
(2009); Choi et al. (2007);
Pan et al. (2007); Ip et al.
(2011); Scharl et al. (2008)
Dickinger et al. (2011); Go, Govers (2005); Choi et al. (2007); Pan et al. (2007); Ip et al.
(2011); Scharl et al. (2008); Govers, Go (2005); Tussyadiah, Fesenmaier (2009)
context
theoretical
questions
classification
perceptions
findings
future
18. Online contents analysis: the measurement issue
Offline survey and data presented online
produce similar results (Dickinger et al., 2011)
?
However:
- not standard models and procedures
- contents online is time consuming
- heavy delegation to technology
- confusion with:
- consumer brand advocacy
- reported consumer experiences
- different type of influence
(Mandelli, 2011)
context
theoretical
questions
classification
perceptions
findings
future
20. Steps to create a contents classification framework
1. Extensive literature review adaptation of a RepTrak model/Rep Quotient model
structured interviews with the tourism domain experts
2. Online content analysis case studies (n° 4)
3. Survey with the destination demand side
(prospective tourists â leisure travelers: 485 usable responses)
in order to rank the topic dimensions of the proposed model
4. Test with untrained users
in order to evaluate usersâ agreements on
recognizing the dominant topic, and the dominant
feeling expressed on social media pages
context
theoretical
questions
classification
perceptions
findings
future
21. Online contents classification framework
Core Dimensions
Drivers
Products and
Services
(Subcategories: )
Accommodation
Food & Beverage
Site Attractions
Events
Entertainment
Transportation
Infrastructure
Other
1 Destination offers a satisfying tourism product
Avgpositio
n
5.56
2 [D] offers a pleasant atmosphere
8.73
3 [D] offers products and services that are good value
4.49
Society
Governance
Environment
Performance
context
10.14
4 [D] presents accurate information of their products and services
5 [D] offers interesting local culture and traditions
6 [D] has hospitable residents
7 Tourism industry and organizations cooperate and interact
8 [D] presents innovative and/or improved products and services
9 [D] has a high eco-awareness
10 [D] has a favorable weather
11 [D] offers a safe environment
12 [D] presents an accurate image
13[D] meets my expectations
14 [D] offers a satisfying tourism experience
theoretical
questions
classification
perceptions
8.62
8.74
12.02
12.03
12.64
7.96
6.78
9.27
9.11
6.93
findings
future
22. Online contents classification framework
Core Dimensions
Drivers
Products and
Services
(Subcategories: )
Accommodation
Food & Beverage
Site Attractions
Events
Entertainment
Transportation
Infrastructure
Other
1 Destination offers a satisfying tourism product
Avg.
position
5.56
2 [D] offers a pleasant atmosphere
8.73
3 [D] offers products and services that are good value
4.49
Society
Governance
Environment
Performance
context
10.14
4 [D] presents accurate information of their products and services
5 [D] offers interesting local culture and traditions
6 [D] has hospitable residents
7 Tourism industry and organizations cooperate and interact
8 [D] presents innovative and/or improved products and services
9 [D] has a high eco-awareness
10 [D] has a favorable weather
11 [D] offers a safe environment
12 [D] presents an accurate image
13[D] meets my expectations
14 [D] offers a satisfying tourism experience
theoretical
questions
classification
perceptions
8.62
8.74
12.02
12.03
12.64
7.96
6.78
9.27
9.11
6.93
findings
future
25. Research Model
Argument
strength
H3a
H3b
Attitude of
being an online
reputation
seeker
H3c
context
theoretical
Message
sidedness
H2b
Message
consistency
H2c
H1
H4a
Antecedents
H2a
H4b
Trust attitude
towards
social media
Perceived
reputation
in social
media
Online Public Opinions
facets: exposure to
online contents
questions
classification
perceptions
findings
future
26. Research Model
Belief T1
H5c
Argument
strength
H3a
H3b
Attitude of
being an online
reputation
seeker
H3c
context
theoretical
Message
sidedness
H2b
Message
consistency
H2c
H1
H4a
Antecedents
H2a
H4b
Trust attitude
towards
social media
Online Public Opinions
facets: exposure to
online contents
questions
classification
Perceived
reputation
in social
media
H5a
H5d
H5b
After
exposure
knowledge
perceptions
Belief T2
Perceived
Belief
Change
Consequences
findings
future
27. Data collection
Online survey with Americans internet users
gathered from vacationfun.com
July 23, 2012 to August 20, 2012
Pilot panel:
10,000 users
Usable: 310
Final panel:
kansas
detroit
8 groups x
15,000 users =
120,000 users
-------------------Total responses: 4,115
Usable responses: 2,505
3.4% response rate
313 usable responses per destination
context
theoretical
questions
las
vegas
new
orleans
classification
orlando
phoenix
perceptions
san
francisco
findings
seattle
future
28. Online questionnaire
Section 1: name of a tourism destination: had visited?
prior belief about the 5 topic dimensions?
Section 2: subjects were exposed to a list of 20 links
Stimuli materials = screenshots of original online
conversations related to the given tourism destination.
Select and view at least one link.
Section 3: re-evaluation of the 5 topic dimensions +
follow-up questions about the study constructs
Section 4: demographic questions
context
theoretical
questions
classification
perceptions
findings
future
29. Online questionnaire: creation of the stimuli materials
[name of the destination] + [topic category keywords]
Detroit
Kansas City
Las Vegas
New Orleans
Orlando
Phoenix
San Francisco
Seattle
context
theoretical
questions
Good value for money. costs + accommodation + tips
Culture. culture + tips
Overall image. trip + experience + tips
Weather. Keywords used: trip + weather + tips
Safety. Keywords used: safety + tips
classification
perceptions
findings
future
30. Online questionnaire: creation of the stimuli materials
[name of the destination] + [topic category keywords]
Detroit
Kansas City
Las Vegas
New Orleans
Orlando
Phoenix
San Francisco
Seattle
Good value for money. costs + accommodation + tips
Culture. culture + tips
Overall image. trip + experience + tips
Weather. Keywords used: trip + weather + tips
Safety. Keywords used: safety + tips
+-
context
theoretical
questions
classification
sentiment polarity
5-point Likert
perceptions
findings
future
31. Online questionnaire: creation of the stimuli materials
From the URLs analysis: the four highest ranked URLs per each of the five topic
dimensions have been selected as stimuli materials
Detroit
Kansas
Las Vegas
New Orleans
Orlando
Phoenix
San Francisco
Seattle
Money
L
H
L
H
H
H
H
H
Culture
H
H
H
H
H
L
H
H
Image
L
L
H
H
H
H
H
H
Weather
L
H
L
L
L
H
H
L
Safety
L
L
L
L
H
H
H
H
L= Low: majority of sentiment expressed on the URLs is negative
H= High: majority of sentiment expressed on the URLs is positive
context
theoretical
questions
classification
perceptions
findings
future
32. Demographic characteristics of the respondents
Male
Female
20 years and below
21-25
26-30
31-40
41-50
51 - 60
61 years and older
0.50%
1.70%
3.90%
11.70%
22.20%
32.70%
27.20%
Less than $20,000
$20,000-$29,999
$30,000-$39,999
$40,000-$49,999
$50,000-$74,999
$75,000-$99,999
$100,000-$149,999
$150,000-$199,999
$200,000 or more
Do not wish to comment
Less than high school
High school
Some college, not completed
Completed college
Post graduate work
Do not wish to comment
0.50%
9.20%
24.80%
34.70%
29.60%
1.30%
Novice
Intermediate User
Advanced User
Expert
Use of UGC
Not use of UGC
context
32%
68%
theoretical
questions
classification
perceptions
4.30%
6.00%
6.20%
9.40%
18.90%
16.00%
14.00%
4.30%
3.00%
18.00%
3.50%
34.60%
43.60%
18.30%
79.60%
20.04%
findings
future
33. Popular destinations:
Las Vegas; New Orleans; Orlando; San Francesco; Seattle
Less popular destinations:
Detroit; Kansas; Phoenix
Stimuli viewed
1
22.1%
2â5
49.4%
6 â 10
23.0%
> 10
5.5%
Topic selected:
overall image
value for money
culture-tradition
safety
weather
context
theoretical
Time spent
0 to 5 min.
6 to 10 min.
11 to 20 min.
21 to 30 min.
31 to 1 h.
1.01 h. and plus
questions
classification
perceptions
7%
36.2%
39.1%
8.5%
4.7%
4.5%
findings
future
35. Research Model results
Belief T1
R2 : .277
Argument
strength
.527
.365
R2 : .338
Attitude of
being an online
reputation
seeker
.470
.726
.457
R2 : .133
Message
sidedness
.068
R2 : .221
Message
consistency
R2 : .694
.330
.220
.581
Trust attitude
towards
social media
Perceived
reputation
in social
media
n.s.
.044
- .502
.055
Belief T2
Perceived
Belief
Change
R2 : .254
CFI=0.912, TLI=0.900,
Ď2/df ⤠2.5,
RMSEA=0.067, SRMR=0.097
context
theoretical
questions
classification
perceptions
findings
future
36. Hypothesis
H1
P_REP ď AT_REP
H2a
P_REP ď ARG
H2b
P_REP ď SIDED
H2c
P_REP ď CONS
H3a
ARG ď AT_REP
H3b
SIDED ď AT_REP
H3c
CONS ď AT_REP
H4a
AT_REP ď TRUST
H4b
P_REP ď TRUST
H5a
BT2 ď BT1
H5b
P_CHANGE ď BT2
H6a
BT2 ď P_REP
H6b
P_CHANGE ď P_REP
Group
1 = popular
2 = less popular
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
1
2
Path Estimate
0.283
0.167
0.439
0.506
n.s.
n.s.
0.335
0.305
0.516
0.511
0.331
0.376
0.450
0.472
0.588
0.584
n.s.
0.109**
0.709
0.732
0.073**
n.s.
n.s.
n.s
-0.497
-0.524
Filter:
only with who have not visited
the destinations
Grouping among popular
(Las Vegas; New Orleans;
Orlando; San Francesco; Seattle)
Not popular destination
Detroit; Kansas; Phoenix
** = significant > 05
context
theoretical
questions
classification
perceptions
findings
future
37. Findings
Perception of a
dominant opinion
Operationalization of the
reputation construct
Re -
4. social/group of people 5. long-term/stable
Puto 1. opinion
3. relevant object
2. stakeholder
a. multidimensional experience
b. set of reference
values/standards
context
theoretical
questions
classification
c. direct /
mediated
perceptions
findings
future
38. Operationalization of the
reputation construct
2. satisfying tourism
experience
1. good
value for
the money
products
&
services
Tourism destination
topic dimensions
performance
+5. local cultures
and traditions
governance
society
environment
3.safe environment
4. favorable weather
context
theoretical
questions
classification
perceptions
findings
future
39. Findings
Perception of a dominant
opinion
Features?
- Role of the experience
with the destination
- Type of destinations
- illusory correlation paradigm
- conform to the same view
- time issue
context
theoretical
questions
Identification of the online
messages cues
more: argumentâs strength, and
message consistency;
less: sidedness, and trust
confirmation of prior belief
classification
perceptions
findings
future
40. Conclusions
attitude / antecedents
reputation seekers
familiarity with the reputation construct
looked at the online dominant opinion
experience with the
destination and
type of destination
positive effects of
online message cues
online features
context
theoretical
questions
classification
source of information
for the confirmation
of prior beliefs
consequences
perceptions
findings
future
41. Future research
Model
extension
Indicators for
monitoring
⢠Construct
refinement
⢠Keywords
⢠Sample
⢠Real navigation
⢠Role of type of
destinations
⢠Message cues and ⢠Impact on
feature cues
decision-making
⢠Automatic tools
⢠Reputation risk
management
⢠Long term
analysis
context
theoretical
questions
Management
issue
classification
perceptions
Different
contexts
⢠Mobile
⢠Issue of
reputation power in
online media
findings
future
42. Practical implications
listening and learning about a destination
from overwhelming online messages
occasion to discover & social control
context
theoretical
questions
classification
perceptions
findings
future
I would like to start presenting the context and motivation of this research.The context of this thesis sees from one side the tourist destination with its cultural identity and its attractions system, where tourism as an hedonic consumption experience take place. and at the other side, the business-commerce needs represented by the message projected by tourism players, who want to make money out of this.
in this context, wheremany senders project messages and many receives like prospective travelers perceived those messageswe can not consider the role of the web, in particular with the eWOM,which thanks to social media platforms allow people to easily share content and take part on the creation of the messages around a destination.
Thus, online public opinions allow to co-create contents about a destinationand who is in charge to manage the promotion of a place can not hide anymore their responsibility to enhance the value of a territory.Online public opinions are creating challenges for the tourism industrywhich is intrinsically a reputation-dependent domain. In fact, the only way to determine whether a place is worth visiting is to visit it.
Influence of online messages is a concern in the place branding literature as well. Where the role of eWOM suggests an upcoming shift from an âarchitectureâ brand perspectiveWhere the analysis of the messages, with the concept of monitoring, is usually the last phase of a place branding strategy
To a live context perspective, where the monitoring of the actual message presented online should be the first phase of any web marketing strategy.
But letâs see the theoretical background of this research which deals with the concept of WOM in terms of an informal transmission of opinions. Scholars have approached this phenomenon analyzing the components of the WOM and its social influence, in particular in the decision making process. Another stream of literature consider the message elaboration, the information processing of the online messages.
However, in this research which deals with the opinions shared among a group of people,There is a need of clarification on the terminology used. In particular, in the difference between image and reputation: Where for image is intended the mental representation (I think) association of attributes to an objectAnd reputation is intended the concept of âwe tellâ, so the opinion shared and verbalized among a group of people
Therefore, the way I have develop my research questions, followed the causal framework learned from organizational reputation studies, that sees as the elements to analyze as reputation: the belief and attitudes among a group of stakeholdersAnd the antecedents: so what might form the reputation,the experience with the object, in this case the second handExperiences represented by the online conversationsAnd finally the reputation consequences, an attitude behaviour change, in this case the confirmation-disconfirmation of prior belief, As suggested by the literature in the message reception and elaboration.
As the focus of this research is the online message cues, the research questions elaborated were towards the identification of
WHAT message to analyse, namely the thematic dimensions of tourism destinationAnd WHICH drivers of those message cues are influencing the perception of reputation in online media, and might generate a consequence Such as the confirmation or disconfirmation of prior belief about a tourism destination
However the needs of a clarification of the components of the reputation construct sees an investigation of the reputation in different disciplines. Startingwith the psychological perspective, reputation acts as an involuntary act for a sake of simplification, and it is a cognitive associations to an object which might drive the behavior of an invididual
Looking at the sociological perspective, it is possible to see the reputation as a social construct which acts as a collective agreement towards an object
The economic perspective sees the implication of this cognitive interpretation of the organization performance into consequences such as attitude and behavior change
it has been decided to investigate also the linguistic perspective in order to provide an unified definition of the construct.Thus, reputation can be decomposed in two main components: the puto part, meaning the individual part, the opinion held by a person towards an objectAnd the re part, the reiteration of the puto
Thus, considering the components identified in the different disciplines, the reputation construct can be operationalized in 5 main components: - the Opinion, which contains an evaluation (a sentiment, a feeling positive or negative), about an Object; - Stakeholder, who expresses an Opinion formed through different sources;- the relevant Object, which is the holder of the Stakeholderâs Opinion;- TheSocial dimension: the same Opinion (or similar opinions) are shared among a group of Stakeholders.- And the Long-Term: opinions shared in a society are somehow stable and evolve over time as a result of the evaluation of an Object by a group of Stakeholders.
An investigation of the current research approaches to the analysis of the online messagesresulted in the classifications of the research approaches as follows:Stakeholder in online analysis is represented by the authors, websiteâ s ownerThe opinions themselves are represented by the judgments/ feelings expressed on the online conversation The relevant object, in this study applied to tourism, is represented by the tourism destination multidimensional topic categoriesThe social part is represented by the comparison among different sources The long term stable concept is represented by the longitudinal Study, mainly presented in professional tool
a lack of standard models and procedures in the analysis of the so-called reputation in online media, and the role of heavy delegation to technologyTogether with the possibility to find online instances of public opinions, like unstructured responses to survey, suggest a needs in the investigations of the message cues to analyze.
so How I solved the first research question?
A deductive approach has been adopted in order to create a contents classification framework that allow for the identification of the main topic expressed online and the related sentiment. The first step was an extensive literature review and structured interviews with the tourism domain experts with the objective to identify the general topic dimensions characteristic of a tourism destination. in particular the approach from the established reptrack model, a model devoted to the investigation of the reputation using pre-defined dimensions have been considered as it allows for systematic analysis and content analysis comparison among similar objects. Several online content analysis have been performed in order to identify which Reputation dimensions and drivers are mainly represented by found textsThen, a survey with the destination demand side,interviewing prospective tourists, leisure travelers in two airports has been done obtaining with 485 usable responses, with the objective to rank the topic dimension of the proposed classification modelLastly, a test with untrained users has been done in order to evaluate usersâ agreements on recognizing the dominant opinionon social media pages. This step was intended to identify if there was a familiarity in the recognition of the dominant opinion within a page, and provide suggestions for the creation of the stimuli materials to use in the second research phase.
This effort resulted in this Online contents classification framework Composed by five main core dimensions, and the related drivers
Results from the survey, underlined in yellow show that five main drivers are considered as the most relevant in a decision making scenario by the demand viewpointThe starts indicated that the two drivers are also the topic which are mainly presented online when it comes to search for tourism-related information online.
Regarding the test with untrained users, where it has been asked to 28 users to evaluate the dominant topic and sentiment, an indicating also the page feature that captured their attention.Results show that majority of users agreed on the recognition of a prominent feeling expressed and topicTripAdvisor pages resulted in generation of more agreement and sentiment. The heat map analysis shows that titles, pictures, presence of a rank, and negative expressions seemed to capture usersâ attention the most.
Regarding the second research questions: how I solved it?A quasi experiment design has been develop in order to test the role of reputation antecedents, namely:
Message charactestichs derived from the dual process theory regarding the message elaborationThe attitude of being an online reputation seeker Trust attitude towards social mediaAs the elements affecting the Perceived reputation online
In order to evaluate a consequences: namely a confirmation or disconfirmation on prior belief, Prior â after belief have been asked (opinion score about the same topic dimension): out of the actual belief, change is measured by repeating the same questions before and after exposure to the stimulus. To this end, an ad hoc question devoted to the investigation of the self-perceived change was added to the study in order to further investigate the self-perception about the online conversations viewed.
What I did: in order to ensure variability in traveler perception, eight different U.S. tourism destinations were selected with the aim to represent the main American tourism destinations. Eight separate but almost identical surveys (differing by the name of destination and related stimuli materials) wereconducted from July 23, 2012 to August 20, 2012. Out of 120.000 users, I have obtained a 3.4% of response rate, with 2,505usable responsesmeaning 313 usable responses per destination
3 reminders have been sent, and the online questionnaire where structure with 4 sections:The first section, respondents were asked to indicate if they had visited the destination and asked about their prior belief about the 5 topic dimensionsif the destination offers good value for money, overall image of the destination, safety, weather and tradition at the destinationSection 2: subjects were exposed to a list of 20 links Stimuli materials = screenshots of original online conversations related to the given tourism destination. Select and view at least one link.Section 3: re-evaluation of the 5 topic dimensions + follow-up questions about the study constructsSection 4: demographic questions
The creation of the stimuli materials followed a specific content analysis criteria, used also for the content analysis performed previously in this study:a series of query on google have been performed.
[name of the destination] + [topic category keywords] as in the exampleConsidering the first 3 pages of google results. Coders associate the sentiment emerged from the pages. The intercoder reliability resulted high.
Thus, as from this table the distribution of the sentiment L= Low: majority of sentiment expressed on the URLs is negative H= High: majority of sentiment expressed on the URLs is positiveShow how detroit was the one with mainly negative mentions, instead of san francisco.
Looking at the demographiccharacteristics of the respondents it is possible to see that the respondents were mainly female
Cronbachâs alpha was found to be satisfactory, with an overall average of higher than 0.7. with the only exception of perceived reputation having a Coefficient alpha of 0.664, which is only marginally acceptable.
The test of the hypothesized model has been performed using M-Plus.This figure summarizes the hypothesized model and measurement model. All depicted coefficients are standardized.The overall goodness-of-fit measures were found to be within acceptable cutoff measures additionally, all of the regression coefficients were significant at Îą = 0.05. In summary, there is a satisfying model fit.The results support most of the hypothesized relationships, and out of the 13 hypotheses one was insignificant.the main drivers to online destination reputation are message persuasiveness and strength and whether those messages are congruent with the opinions of others. However, message sidedness, that is, the perception of a polarity or the presence of a majority of negative or positive comments, is weakly significant, suggesting that sentiment polarity among online conversations is not a main issue in the perception of destinations. Interestingly, the results also show that the ability to recognize a dominant opinion is driven by an attitude of being a âreputation seekerâ (i.e., the attitude toward reputation in online media), suggesting an overall tendency of the respondents to be familiar with the concept of reputation and an overall attitude to search online for the opinion of other users regarding a destination. Another interesting finding is the importance trust plays in online conversations and, therefore, destination reputation. In particular, trust appears to lead to an attitude of being a reputation seeker, suggesting that the more people rely on online conversations, the more they search for the dominant opinion expressed. Additionally, when analyzing the perception of a dominant opinion, the issue of trust proved to be weak. This result suggests that the role of those who post online is not one of the main issues affecting the process of understanding a dominant opinion. Regarding the relationship between perceived reputation in social media and the actual belief change, results show the relationship is not significant, suggesting that the quasi-experiment was not powerful in the demonstration of an actual consequence of the reputation construct. However, when looking at the relationship between the perceived reputation and the perceived belief change, the situation drastically changes, showing a negative significant value. Results show how the perceived recognition of an online dominant opinion tends to reinforce prior belief. A positive weak significant relationship has been also detected between the actual belief change and perceived change, suggesting that the more the social media generated an effect, the more it should be perceived.
- Popular destinations: Las Vegas; New Orleans; Orlando; San Francesco; Seattle- Less popular destinations: Detroit; Kansas; PhoenixIt was possible to perform a multi-group analysis in MPlus as the grouping option allowed us identify the variable in the data set that contains the information about group belonging.Regarding the group of web users who declared to have not visited the destination, findings indicated that belief significantly increased (at p <.05).The majority of the five topic dimensions pre- and post-stimuli exposure assessments showed increased ratings. summaries the results between the groups (popular vs. less popular destination), showing that the web users who have not visited the destination when they evaluated contents about less popular destinations they were more keen to trust social media in their recognition of a dominant opinion about a destination. Looking at the differences between the grouping model and overall model,the consistency among the perceived change and the actual change on prior belief resulted as not significant for those who were exposed to less popular destinations.Finally, an interesting result is given by the role of message sidedness in this grouping analysis: web users who have not visited the destinations seemed to not consider the polarity of the messages expressed online in their perception of a dominant opinion. Indeed, the relationship between message sidedness and perceived dominant opinion resulted as not significant for both groups, meaning the group that has been exposed to popular destinations and the group that has been exposed to less popular ones.
the main outcome of this research is the operationalization of the reputation construct comprising three elements representing the individual level of reputation (PUTO), and the re level (reiteration of the puto level).The focus of the thesis in the operationalization of the relevant object: the topic components of a tourism destination and the perception of a dominant opinion from a group online, resulted
In a content classification framework. This work contributes to the field of content analysis in tourism by introducing a top-down deductive approach â that is, a definition of a pre-established content classification framework, which allows for the systematic analysis of destination reputation dimensions in online media, and also allows for further comparison among similar objects, such as tourism destinationsMoreover the rank provided by this study allowed to potentially weight the topic presented online according to the declared relevance for the decision making by the demand side.
The other main contribution of this research is about the drivers affecting the perception of a dominant opinion. argumentâs strength, and message consistency have been identify as the message components affecting mainly the recognition of a dominant opinion. However, there is a needs to identify what are the features reflecting these constructs. Suggesting from the user test with the heat map analysis put also the basis for a further investigation in this direction. Moreover, the interesting results of the weak role of sidedness, and trust and a further investigation of the experience with the destination and/or type of destination, allow to put the basis in further research in this direction. McGarty et al., 2002). . Conform to the same view (Noelle-Neumann, 1974). Time issue (Walther, 1992). Signaling (users agreement)
So finally: Whathavewelearned?familiarity with the reputation construct and looked at the online dominant opinionThis dominant opinion is sensitive to an attitude of people to be reputation seekers, their experience with the destination, and the type of destination in terms of popularity. The online presence of clear statements which are consistent among each other reinforce the perception of a dominant opinion, and ultimately tend to confirm the prior belief. However, the less we know about a place the more we are keen to disconfirm our knowledge about a place.
Future research are foreseen and very much connected each other:
knowing the reputation of a tourism destination in online media provides an opportunity to measure the diligence of people who are responsible for managing the accessibility of a place as a tourism destination. opportunity for everyone to contribute to ensuring the constant monitoring of the reputation of the destination. Learning about a destination from overwhelming online messages might reflect a distorted promotion or inefficient use of resourcesOccasion to discover, small attractions or weak aspects of a place to emerge in online conversationsSocial control, bad management of the cultural heritage at a destination
knowing the reputation of a tourism destination in online media provides an opportunity to measure the diligence of people who are responsible for managing the accessibility of a place as a tourism destination. opportunity for everyone to contribute to ensuring the constant monitoring of the reputation of the destination. Learning about a destination from overwhelming online messages might reflect a distorted promotion or inefficient use of resourcesOccasion to discover, small attractions or weak aspects of a place to emerge in online conversationsSocial control, bad management of the cultural heritage at a destination