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  <front>
    <journal-meta>
      <journal-id/>
      <journal-title-group>
        <journal-title xml:lang="en">Tourism and Hospitality Management </journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1330-7533</issn>
      <issn pub-type="epub">1847-3377</issn>
      <publisher>
        <publisher-name xml:lang="hr">Sveučilište u Rijeci, Fakultet za menadžment u turizmu i
          ugostiteljstvu, Opatija</publisher-name>
        <publisher-name xml:lang="en">University of Rijeka, Faculty of Tourism and Hospitality
          Management, Opatija</publisher-name>
        <publisher-loc>Naselje Ika, Primorska 42, PP 97, 51410 Opatija <email
            xlink:href="thm@fthm.hr">thm@fthm.hr</email>
          <ext-link xlink:href="http://thm.fthm.hr/">http://thm.fthm.hr/</ext-link>
        </publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.20867/thm.26.1.9</article-id>
      <article-categories>
        <subj-group subj-group-type="heading" xml:lang="hr">
          <subject>Izvorni znanstveni članak</subject>
        </subj-group>
        <subj-group subj-group-type="heading" xml:lang="en">
          <subject>Original scientific paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">SEGMENTATION AND SOCIODEMOGRAPHIC PROFILE OF HERITAGE TOURIST</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Rabadán-Martín</surname>
            <given-names>Inmaculada</given-names>
          </name>
          <aff>University of Huelva
            Department of Financial Economics, Accounting and Operations Management
            Plaza de la Merced, 11, 21071 Huelva (Spain)
          </aff>
          <email xlink:href="rabadan@uhu.es">rabadan@uhu.es</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Aguado-Correa</surname>
            <given-names>Francisco</given-names>
          </name>
          <aff>University of Huelva
            Department of Financial Economics, Accounting and Operations Management
            Plaza de la Merced, 11, 21071 Huelva (Spain)
          </aff>
          <email xlink:href="agucor@uhu.es">agucor@uhu.es</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Padilla-Garrido</surname>
            <given-names>Nuria</given-names>
          </name>
          <aff>University of Huelva
            Department of Economics 
            Plaza de la Merced, 11, 21071 Huelva (Spain)
          </aff>
          <email xlink:href="padilla@uhu.es">padilla@uhu.es</email>
        </contrib>
      </contrib-group>
      <pub-date>
        <month>06</month>
        <year>2020</year>
      </pub-date>
      <volume>26</volume>
      <issue>1</issue>
      <fpage>157</fpage>
      <lpage>172</lpage>
      <history>
        <date date-type="received">
          <day>04</day>
          <month>12</month>
          <year>2019</year>
        </date>
        <date date-type="revised">
          <day>12</day>
          <month>03</month>
          <year>2020</year>
        </date>
        <date date-type="revised">
          <day>14</day>
          <month>04</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>24</day>
          <month>04</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access">
          <license-p>CC BY-NC-SA 4.0</license-p>
        </license>
        <license license-type="open-access" xml:lang="hr">
          <license-p>Puni tekst radova ovog časopisa besplatno se smije koristiti za osobne,
            edukacijske ili istraživačke svrhe uz poštivanje autorskih prava autora i izdavača.
            Radovi su dostupni pod uvjetima licence CC BY-NC-SA 4.0 International. Tourism and
            hospitality management je plavi Sherpa/RoMEO časopis.</license-p>
        </license>
        <license license-type="open-access" xml:lang="en">
          <license-p>The papers can be used for personal, scientific, educational and research
            purposes, provided that the credit is given. The papers are licensed under CC BY-NC-SA
            4.0 International license. Tourism and hospitality management is a Sherpa/RoMEO blue
            journal. </license-p>
        </license>
      </permissions>
      <abstract><p>Purpose – The aim of this research is to analyse how hotels incorporate their
          online reputation on their official websites, the characteristics of that information, as
          well as the variables that may influence it.</p><p>Design/Methodology/Approach – We
          analysed 503 websites of 4- and 5-star hotels in Andalusia (Spain). It was verified on a
          case-by-case basis whether the hotel publicized its online reputation, the type (numerical
          or non-numerical) and the source of its reputation (internal or external). In addition, a
          general profile was established for each establishment. After a descriptive analysis,
          possible dependent relationships between the online reputation and characteristics of the
          establishment were analysed.</p><p>Findings – Over half of the hotels opted to publicize
          their online reputation on their own websites, and a little over half of those used the
          external online reputation sources. Both circumstances were related to factors such as
          modality and the hotel size. TripAdvisor ratings were a reference point among the hotels
          under analysis.</p> <p>Originality of the research – This study provides insight into the
        manner in which hotels are reflecting their online reputation on their official websites,
        the variables that may influence this behaviour and the extent to which the third-party
        reviews are visible on their websites.</p></abstract>
      <kwd-group xml:lang="en">
        <kwd>eWOM</kwd> <kwd>hotel websites</kwd> <kwd>hotel rating</kwd> <kwd>online reputation</kwd> <kwd>TripAdvisor</kwd>      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <label>INTRODUCTION</label>
      <p>The growth of Internet usage has changed the way we plan our tourism. It is now used, not
        only as a viewing medium that displays the features of the accommodation, but also to gather
        user opinions on the potential destinations (<xref ref-type="bibr" rid="Buhalis">Buhalis and
          Law 2008</xref>; <xref ref-type="bibr" rid="Cox">Cox et al. 2009</xref>; <xref
          ref-type="bibr" rid="Anderson">Anderson 2012</xref>). According to the TripBarometer
          (<xref ref-type="bibr" rid="TripAdvisor2016">TripAdvisor 2016</xref>), of the 36,444
        travellers polled across 33 countries, 73% used online sources to decide on their
        destination and 86% used them to decide on their accommodation. The importance of online
        opinions is also highlighted in the TripBarometer 2017/2018 (<xref ref-type="bibr"
          rid="TripAdvisor2018">TripAdvisor 2018</xref>), which states that 86% of travellers would
        not book accommodation without having previously read relevant opinions. This all means that
        hotel establishments have a greater stake in managing their online reputations than ever
        before.</p>
      <p>Considering that lots of us depend on reviews from other consumers to assess the quality of
        goods and services (<xref ref-type="bibr" rid="Wirtz">Wirtz and Chew 2002</xref>),
        electronic Word-Of-Mouth (eWOM) in the form of an online review has an especially important
        influence in both the tourism industry and the accommodation sector, where the value of
        intangible products is difficult to assess prior to their consumption (<xref ref-type="bibr"
          rid="Litvin">Litvin, Goldsmith and Pan 2008</xref>; <xref ref-type="bibr" rid="Xie2016"
          >Xie, Chen and Wu 2016</xref>). </p>
      <p>Users can find several Internet forums where they can read online reviews about hotels: (a)
        the websites of the hotels; (b) third-party websites for the online reservation of
        accommodation (for example Booking.com, Expedia.com, Agoda.com, etc.); (c) hotel comparison
        websites (such as Tripadvisor.com, Trivago.com, Kayak.com, etc.); (d) websites that provide
        accommodation-related advice; (e) social network pages of the hotel establishments (such as
        Facebook, Twitter, etc.). These reviews mean that potential customers are being influenced
        by third-party information over which a hotel has no direct control.</p>
      <p>The credibility and the bias of opinions expressed on Internet pages will depend on where
        they have been posted, since their veracity is not checked in all forums (it is not always
        compulsory to have stayed in a hotel to voice an opinion, for example, and negative
        commentary will also be censored on some webpages). Furthermore, depending on the average
        score system (licensed software providers, such as ReviewPro or TrustYou; metasearch
        websites, for example Trivago or Kayak; or third-party online reservation of accommodation,
        such as booking.com), there are important differences not only in the rating scores obtained
        by the hotels, but also on the rankings in which the hotels appear when undertaking a search
          (<xref ref-type="bibr" rid="Mellinas2019">Mellinas and Reino 2019</xref>).</p>
      <p>Nevertheless, these online opinions represent one of the fundamental elements of online
        reputation, so if hotels wish to improve their reputation, it is especially important for
        them to monitor such opinions and to manage them (<xref ref-type="bibr" rid="Phelan">Phelan,
          Chen and Haney 2013</xref>; <xref ref-type="bibr" rid="Aureli">Aureli and Supino
          2017</xref>; <xref ref-type="bibr" rid="Schuckert">Schuckert, Liu and Law 2016</xref>;
          <xref ref-type="bibr" rid="Tran">Tran, Ly and Le 2019</xref>). In most cases, reviews are
        public and permanent and, when positive, they might attract future clients and increase
        sales (<xref ref-type="bibr" rid="Ye">Ye et al. 2011</xref>; <xref ref-type="bibr"
          rid="Anderson">Anderson 2012</xref>). But, if negative, they could induce the opposite
        effect and even neutralize a certain number of positive comments. However, this effect could
        in turn be mitigated when there are very many reviews (<xref ref-type="bibr"
          rid="Cunningham">Cunningham et al. 2010</xref>; <xref ref-type="bibr"
          rid="Melián-González">Melián-González, Bulchand-Gidumal and González 2013</xref>).</p>
      <p>However, despite the importance of online reputation, little is known about how hotels
        publicize it on their official websites, at a time when the direct booking wars between
        hotels and Online Travel Agencies (OTAs) are growing and beginning to shift towards hotels,
        which have recovered a market share of direct bookings. In that sense, Kalibri Labs (<xref
          ref-type="bibr" rid="Green">Green and Mazzocco 2019</xref>) found that there was indeed a
        shift in consumer behaviour toward Brand.com sites versus OTAs, such as Booking.com or
        Expedia. More consumers than ever before are choosing direct bookings rather than booking on
        a third-party site. In particular, Brand.com has consistently generated 50% more bookings on
        average to hotels in the United States of America than the OTA channel. In Spain, the leader
        in online booking in 2019 was Booking.com, while Expedia moved up to third place, because
        Brand.com sites managed to unseat it and move into second place (<xref ref-type="bibr"
          rid="SiteMinder2020">SiteMinder 2020</xref>). More specifically, direct hotel bookings in
        Spain have grown 113 percent from 2013 to 2017, indicating a closer relationship between
        Spanish hotels and their guests (<xref ref-type="bibr" rid="SiteMinder2018">SiteMinder
          2018</xref>).</p>
      <p>Therefore, the hotels are at a key moment in time to continue recovering ground in direct
        bookings, showing their prices and, at the same time, information on their online
        reputation, so that potential customers feel no need to consult other Internet forums.
        Considering the advantages of hotels publicizing their online reputation on their official
        websites, our objective is to shed light on how the hotel sector is performing in this
        regard. Likewise, possible variables are analysed that could be related to publicity and
        both the type and the source of the ratings that are obtained from client opinions. The
        paper intends to contribute to academic literature, by examining whether hotels are adapting
        to the new competitive environment of online sales, their willingness to use external
        sources and to publicize their online reputation and which characteristics of hotels may
        favour this adaptation.</p>
    </sec>
    <sec>
      <label>1.	CONCEPTUAL BACKGROUND </label>
      <p>Research in the online reputation management has been focused on analysing the role of
        online opinions in the decision-making process for accommodation and estimating the market
        share (<xref ref-type="bibr" rid="Sparks">Sparks and Browning 2011</xref>; <xref
          ref-type="bibr" rid="Öǧüt">Öǧüt and Taş 2012</xref>; <xref ref-type="bibr" rid="Duverger"
          >Duverger 2013</xref>; <xref ref-type="bibr" rid="Zhao">Zhao et al. 2015</xref>), the
        factors that make these opinions useful (<xref ref-type="bibr" rid="Liu">Liu and Park
          2015</xref>; <xref ref-type="bibr" rid="Fang">Fang et al. 2016</xref>), the effects of
        different rating systems (<xref ref-type="bibr" rid="Mellinas2016">Mellinas, Martínez
          María-Dolores and Bernal 2016</xref>; <xref ref-type="bibr" rid="Mariani">Mariani and
          Borghi 2018</xref>; <xref ref-type="bibr" rid="Casaló">Casaló et al. 2015</xref>; <xref
          ref-type="bibr" rid="Xie2016">Xie, Chen and Wu 2016</xref>), their reliability and
        credibility depending on the source (<xref ref-type="bibr" rid="Schuckert">Schuckert, Liu
          and Law 2015</xref>; <xref ref-type="bibr" rid="Gössling">Gössling et al. 2019</xref>;
          <xref ref-type="bibr" rid="Gellerstedt">Gellerstedt and Arvemo 2019</xref>), and even the
        factors which motivate travellers to post online reviews (<xref ref-type="bibr" rid="Bakshi"
          >Bakshi, Dogra and Gupta 2019</xref>).</p>
      <p>Regarding the use of the hotel websites as a forum for posting client opinions and the
        online reputation score, there are some papers that have suggested that hotel establishments
        have not exploited the full potential of their websites as a tool for the management of
        opinion and reputation (<xref ref-type="bibr" rid="Li">Li, Wang and Yu 2015</xref>; <xref
          ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg and Holthof 2018</xref>).
        They have instead focused their efforts on providing information that reflects the features
        of their hotels. Nevertheless, in accordance with <xref ref-type="bibr" rid="DePelsmacker"
          >De Pelsmacker, Van Tilburg and Holthof (2018)</xref>, the ratings shown on the website
        could affect room occupancy and productivity. However, despite the potential benefits for
        hotels of displaying their online reputation on their websites and the fact that a high
        percentage of customers would not book accommodation without first reading the opinions of
        other users, to the best of our knowledge, there are no studies that rate how hotel
        establishments are using their official websites to reflect the opinions of their clients,
        by posting both internal and external ratings, as well as the variables that could be
        related to the characteristics of online reputation.</p>
      <p>Our study is focused on hotels in Andalusia (Spain), a hotel sector like so many others
        that is having to adapt to technological change and the new procedures for planning trips
        and selecting tourist destinations. Especially, if we recall that 1,699 Andalusian hotels
        accommodated 18.3 million tourists in 2017, of whom 8.9 million were foreigners, ranking
        Andalusia as the second most visited region in Spain and contributing to Spain’s position as
        the second most visited country in the world by tourists and the most competitive economy in
        the world in terms of tourism (<xref ref-type="bibr" rid="Calderwood">Calderwood, Soshkin
          and Fisher 2019</xref>).</p>
      <p>Considering the range of all hotels, we have focused this paper on 4- and 5-star hotels in
        Andalusia, which represent over 30% of the Andalusian hotel establishments and offer almost
        70% of total hotel capacity. The variables that could be related to the characteristics of
        online reputation are described below.</p>
      <p><bold>1.1. The number of hotel stars</bold></p>
      <p>Currently, star ratings remain a crucial consideration for tourists searching for hotel
        accommodation, while online reviews provide further information related to quality standards
          (<xref ref-type="bibr" rid="Mohsin">Mohsin, Rodrigues and Brochado 2019</xref>). Moreover,
        hotels with higher star ratings are much more sensitive to online customer ratings than
        hotels with fewer stars, especially with regard to the cost of their rooms (<xref
          ref-type="bibr" rid="Öǧüt">Öǧüt and Taş 2012</xref>). Thus, with reference to the
        variables that may have an effect on online reputation, hotel establishments with more stars
        present better reputation ratings, verifying this system of classification (<xref
          ref-type="bibr" rid="Martín-Fuentes">Martín-Fuentes 2016</xref>). Nevertheless, 5-star
        hotels, which specialize in luxury and exclusivity, may be less likely to display an online
        rating on their official website. Were they to display a rating, they may not choose to
        display it on the home page, which those types of establishments might consider
        inappropriate.</p>
      <p>Regarding the inclusion of online reputation on hotel websites, in accordance with <xref
          ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg and Holthof (2018)</xref>,
        the ratings shown on the website will have: (1) a negative indirect effect for hotels with
        fewer stars and no significance for hotels with higher star ratings; (2) a direct effect on
        room occupancy and a positive effect on productivity.</p>
      <p>H1a: The number of hotel stars will influence the publicity that is given to online
        reputation. </p>
      <p>H1b: The number of hotel stars will influence the (numeric or non-numeric) type of rating
        of online reputation.</p>
      <p>H1c: The number of hotel stars will influence the use of external ratings of online
        reputation. </p>
      <p><bold>1.2. Hotel modality</bold></p>
      <p>According to the findings of <xref ref-type="bibr" rid="Tran">Tran, Ly and Le
        (2019)</xref>, online ratings appear to reflect customer choice over the whole range of
        hotel modalities. Thus, a hotel that increases its online ratings will improve positive
        responses from its customers. So, the modality of a hotel (motorway, rural, urban and
        beach), unlike other features of the establishment, is initially not a deciding factor with
        regard to the policies on the publicity that is given to online reputation on hotel
        websites. Nevertheless, a possible relationship between Andalusian hotel modality and
        publicity, type and external rating were analysed.</p>
        <p>H2a: Hotel modality will influence the publicity that is given to online
            reputation.</p><p>H2b: Hotel modality will influence the (numeric or
            non-numeric) type of rating of online reputation.</p><p>H2c: Hotel modality will influence the use of external sources of online reputation. </p>
      <p><bold>1.3. Hotel age</bold></p><p>Several studies have analysed the degree of influence of hotel age on business performance (<xref
          ref-type="bibr" rid="Othman">Othman and Rosli 2011</xref>; <xref ref-type="bibr"
          rid="Marco">Marco 2012</xref>; <xref ref-type="bibr" rid="Xie2014">Xie, Zhang and Zhang
          2014</xref>). Their findings indicated that hotel age was not an important attribute for
        hotel performance.</p><p><xref ref-type="bibr" rid="Salavati">Salavati and Hashim (2015)</xref> found no significant
        association between hotel age and the number of website updates or the performance of the
        hotel website. Nevertheless, the establishments launched after the booster effect of online
        reputation scores, since they began their activity within that environment, will probably
        have incorporated the management of online ratings, from the outset, in a more
        straightforward manner. Besides, older hotels, it appeared, preferred to outsource the
        rating management.</p><p>H3a: Hotel age will influence the publicity that is
            given to online reputation.</p><p>H3b: Hotel age will influence the (numeric or
            non-numeric) type of rating of online reputation.</p><p>H3c: Hotel age will influence the use of external sources of online reputation.</p>
      <p><bold>1.4. Hotel size</bold></p><p>Another variable that may have an impact on online reputation could be hotel size. However,
        although hotels with many rooms will usually have a higher number of reviews, the rating
        that is achieved is, it would seem, unrelated to the size of the establishment (<xref
          ref-type="bibr" rid="Martín-Fuentes">Martín-Fuentes 2016</xref>). In contrast, hotel size
        is not likely to have a significant impact on business performance (<xref ref-type="bibr"
          rid="Xie2014">Xie, Zhang and Zhang 2014</xref>). Moreover, the size of the organization is
        not a determining factor in the use of Information Technology (<xref ref-type="bibr"
          rid="Seyal">Seyal, Rahim and Rahman 2000</xref>).</p><p>Nevertheless, assuming that
            additional economic resources will improve online reputation management, we posit that
            smaller hotels, normally family-owned hotels or hotels with fewer resources, may find it
            more difficult than hotel chains to keep their website updated with the comments and the
            evaluations of clients. Furthermore, it may be more difficult for them to manage the
            opinions internally, preferring, in their case, to outsource this management or to
            publish the ratings that they have obtained with hotel comparison websites or on world
            renowned booking websites (for example, TripAdvisor or Booking).</p><p>H4a:
            Hotel size will influence the publicity that is given to online reputation.</p><p>H4b: Hotel size will influence the (numeric or non-numeric) type of rating of
            online reputation.</p><p>H4c: Hotel size will influence the use of external
            sources of online reputation.</p><p><bold>1.5. Affiliation to a hotel chain</bold></p><p>According to <xref ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg and Holthof
          (2018)</xref>, the ratings shown on the website have a moderate effect on both hotel
        chains and independent hotels. In contrast, <xref ref-type="bibr" rid="Cascales">Cascales,
          Fuentes and Esteban (2017)</xref> reported that the hotels in their study that were
        affiliated to a hotel chain attached greater importance to online reputation, via review
        sites and official websites. Indeed, any manipulative practices on their part relating to
        reviews tended to be lower (<xref ref-type="bibr" rid="Mayzlin">Mayzlin, Dover and Chevalier
          2014</xref>).</p><p>We raise the question here of whether the publicity given to online reputation falls within their
        corporate policies. Moreover, the resources available to chain-affiliated hotels will be
        greater than other types of hotels, in order to increase room occupancy and to promote the
        hotel (<xref ref-type="bibr" rid="Tarí">Tarí et al. 2009</xref>). Consequently, hotels that
        form part of a hotel chain are likely to have more support than other hotels to display
        their online reputation rating on their own websites. Moreover, those establishments usually
        use a website template unified by their hotel chain. They almost all, without exception,
        have centralized reservation mechanisms and procedures for placing and for gathering
        reputation indicators that could be determining factors in the type of rating that they
        display.</p><p>H5a: Affiliation to a hotel chain will influence the
            publicity given to online reputation.</p><p>H5b: Affiliation to a hotel chain
            will influence the (numeric or non-numeric) type of rating of online
            reputation.</p> <p>H5c: Affiliation to a hotel chain will influence the use of
          external sources of online ratings.</p>
      
    </sec>
    <sec sec-type="methods">
      <label>2.	METHODOLOGY</label>
      <p>We worked with data from 2017 on 522 active 4- and 5-star hotels in Andalusia (<xref
          ref-type="bibr" rid="Andalusian">Andalusian Regional Department of Tourism and Sports
          2017</xref>). Having verified, in January 2018, whether the hotels had their own website,
        only 503 provided sufficient data for analysis. </p><p>We analysed two different variables for each hotel: (1) those that define the general profile of
        the establishment (number of the stars, modality of hotel, age, size and affiliation to a
        hotel chain); and, (2) those that refer to online reputation (publicity, type and source of
        the online-reputation rating). In total, 9 categorized variables were analysed. </p><p>Regarding hotel modality, based on the modalities formed by the hotels on the Tourism Register of
        Andalusia (<xref ref-type="bibr" rid="Andalusian">Andalusian Regional Department of Tourism
          and Sports 2017</xref>), three categories were distinguished: motorway hotels and rural
        hotels; urban hotels; and beach hotels. The Tourism Register of Andalusia classifies the
        hotels into four modalities, actually, but, given the scarce few road hotels (only 6
        establishments of this modality were registered), they were grouped under the rural
        category, in order to obtain statistically representative results.</p><p>We also established criteria to define the age of the establishments: a
            hotel had to have commenced activity either before or after 2010, the year in which the
            hotel sector enhanced its use of online reputation as a source of strategic information.
            Indeed, 2008 and 2009 were the two years in which some companies dedicated to the
            management of online reputation commenced their activities, such as Customer Alliance,
            ReviewPro, and TrustYou. </p><p>The variable related to the size of the hotel
            was divided, according to the number of rooms, into three categories (small, medium, and
            large). In that respect, we considered that small hotels had fewer than 50 accommodation
            units, medium hotels had between 50 and 300, and large hotels had over 300 rooms that
            were available.</p><p>Furthermore, with regard to the type of online reputation
            rating, we differentiated between the hotels that displayed a numeric rating or did not,
            showing only a non-numeric indicator of its reputation, regardless of whether it was a
            symbol (stars, circles, etc.) or a list of client appraisals with no exact
            score.</p><p>Finally, it was considered that establishments tended to opt for
            external sources of online rating when offered an online reputation ratio either from a
            review aggregator (Customer Alliance, ReviewPro or TrustYou) or another similar source
            (comparison and booking websites). Specifically, four categories were defined for the
            type of external online rating: (a) a review aggregator; (b) a single external source
            that is not a review aggregator; (c) several external sources, without including review
            aggregators; (d) a review aggregator plus another external source. </p> <p>After a
          descriptive analysis based on the frequencies of the variables, possible dependent
          relationships were analysed with the hypothesis test through the chi-square statistic,
          using SPSS software version 2.0 (IBM Corp., Armonk, N.Y., USA). Specifically, five
          multiple hypotheses were initially posited, which attempted to analyse whether the
          variables (number of stars, modality of hotel, age, size and affiliation to a hotel chain)
          might influence the publicity given to the online reputation on the hotel website, the
          type of rating provided and the posting of external sources of online reputation on the
          hotel website.</p>
    </sec>
    <sec>
      <label>3.	FINDINGS</label>
      <p><bold>3.1.	Descriptive analysis</bold></p>
      <p>The results obtained after analysing the variables are shown in <xref ref-type="table"
          rid="t1">Table 1</xref>. Most of the hotels were 4-star establishments (90.26%), were
        located in the city (48.11%) or on the beach (40.95%), had begun their activity prior to
        2010 (87.08%), were considered to be medium sized (62.03%), and were affiliated to a hotel
        chain (68.99%).</p>
      <table-wrap id="t1">
        <label>Table 1:</label>
        <caption><title>Results of the descriptive analysis</title></caption>
        <table>
          <thead>
            <tr>
              <td valign="top">Variable</td>
              <td valign="top">Category</td>
              <td align="right" valign="top">No</td>
              <td align="right" valign="top">%</td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td rowspan="2" colspan="1" valign="top">1. Number of stars </td>
              <td valign="top">4 stars </td>
              <td align="right" valign="bottom">454</td>
              <td align="right" valign="bottom">90.26%</td>
            </tr>
            <tr>
              <td valign="top">5 stars </td>
              <td align="right" valign="bottom">49</td>
              <td align="right" valign="bottom">9.74%</td>
            </tr>
            <tr>
              <td rowspan="3" colspan="1" valign="top">2. Modality</td>
              <td valign="top">Motorway and rural</td>
              <td align="right" valign="bottom">55</td>
              <td align="right" valign="bottom">10.93%</td>
            </tr>
            <tr>
              <td valign="top">Urban</td>
              <td align="right" valign="bottom">242</td>
              <td align="right" valign="bottom">48.11%</td>
            </tr>
            <tr>
              <td valign="top">Beach</td>
              <td align="right" valign="bottom">206</td>
              <td align="right" valign="bottom">40.95%</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1" valign="top">3. Age</td>
              <td valign="top">Established prior to 2010</td>
              <td align="right" valign="bottom">438</td>
              <td align="right" valign="bottom">87.08%</td>
            </tr>
            <tr>
              <td valign="top">Established subsequent to 2010</td>
              <td align="right" valign="bottom">65</td>
              <td align="right" valign="bottom">12.92%</td>
            </tr>
            <tr>
              <td rowspan="3" colspan="1" valign="top">4. Size</td>
              <td valign="top">Small (&#60; 50 rooms)</td>
              <td align="right" valign="bottom">129</td>
              <td align="right" valign="bottom">25.65%</td>
            </tr>
            <tr>
              <td valign="top">Medium (50 – 300 rooms)</td>
              <td align="right" valign="bottom">312</td>
              <td align="right" valign="bottom">62.03%</td>
            </tr>
            <tr>
              <td valign="top">Large (> 300 rooms)</td>
              <td align="right" valign="bottom">62</td>
              <td align="right" valign="bottom">12.33%</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1" valign="top">5. Affiliation to a hotel chain</td>
              <td valign="top">Independent</td>
              <td align="right" valign="bottom">156</td>
              <td align="right" valign="bottom">31.01%</td>
            </tr>
            <tr>
              <td valign="top">Affiliated</td>
              <td align="right" valign="bottom">347</td>
              <td align="right" valign="bottom">68.99%</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1" valign="top">6. Publicity of online reputation</td>
              <td valign="top">Yes</td>
              <td align="right">267</td>
              <td align="right">53.08%</td>
            </tr>
            <tr>
              <td valign="top">No</td>
              <td align="right">236</td>
              <td align="right">46.92%</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1" valign="top">7. Type of online reputation rating</td>
              <td valign="top">Numeric</td>
              <td align="right">204</td>
              <td align="right">76.40%</td>
            </tr>
            <tr>
              <td valign="top">Non-numeric</td>
              <td align="right">63</td>
              <td align="right">23.60%</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1" valign="top">8. Use of external sources of online
                ratings</td>
              <td valign="top">Yes </td>
              <td align="right">143</td>
              <td align="right">53.56%</td>
            </tr>
            <tr>
              <td valign="top">No</td>
              <td align="right">124</td>
              <td align="right">46.44%</td>
            </tr>
            <tr>
              <td rowspan="4" colspan="1" valign="top">9. Type of external online rating</td>
              <td>Review aggregator</td>
              <td align="right">36</td>
              <td align="right">25.17%</td>
            </tr>
            <tr>
              <td>Single external source</td>
              <td align="right">77</td>
              <td align="right">53.85%</td>
            </tr>
            <tr>
              <td>Several external sources</td>
              <td align="right">12</td>
              <td align="right">8.39%</td>
            </tr>
            <tr>
              <td>Review aggregator plus another external source</td>
              <td align="right">18</td>
              <td align="right">12.59%</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Regarding online reputation, it should be noted that only 53.08% of the 4- and 5-star
        hotels had some indicator of their rating on their own website. While in the 5-star category
        the percentage was slightly lower (45%). When online reputation was shown, it was usually
        displayed on the home page (86.89%) and, at least, with one numerical score (76.4%).
        Interestingly, 34 of the 267 hotels that showed some form of online reputation indicator on
        their website chose not to display a single figure, although they complemented their numeric
        ratings with symbols and provided several internal and external sources, thereby adding
        valuable information to their website.</p>
      <p>A higher percentage of the hotels under analysis used external online reputation scores
        (53.56%) although, in some cases, complemented with customer opinions. A deeper analysis of
        the external online ratings offered on the web showed that the majority (53.85%) of the 143
        establishments with this type of online reputation chose to offer a single external source,
        specifically: TripAdvisor, Booking, and Holiday check. If we group the cases in which the
        hotel's website offers several sources of online reputation, the importance of the source of
        the online rating increases. Thus, as can be seen in <xref ref-type="table" rid="t2">Table
          2</xref>, where external web sources and the opinion aggregator were not exclusive, hotels
        were to a greater extent opting for TripAdvisor and TrustYou as guarantors of online
        reputation.</p>
      <table-wrap id="t2">
        <label>Table 2:</label>
        <caption><title>External sources of online reputation</title></caption> <table>
            <thead><tr>
              <td/>
              <td>
                <p>No. of </p>
                <p>hotels</p>
              </td>
              <td>
                <p>% of all hotels </p>
                <p>(503)</p>
              </td>
              <td>% of all hotels with online reputation (267)</td>
            </tr></thead>
             <tbody><tr>
              <td rowspan="1" colspan="4">COMPARISON AND BOOKING WEBSITES</td>
            </tr>
            <tr>
              <td>TripAdvisor</td>
              <td align="right">94</td>
              <td align="right">18.69%</td>
              <td align="right">35.21%</td>
            </tr>
            <tr>
              <td>Booking</td>
              <td align="right">9</td>
              <td align="right">1.79%</td>
              <td align="right">3.37%</td>
            </tr>
            <tr>
              <td>Holiday check</td>
              <td align="right">3</td>
              <td align="right">0.60%</td>
              <td align="right">1.12%</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="4">REVIEW AGGREGATOR</td>
            </tr>
            <tr>
              <td>TrustYou</td>
              <td align="right">33</td>
              <td align="right">6.56%</td>
              <td align="right">12.36%</td>
            </tr>
            <tr>
              <td>ReviewPro</td>
              <td align="right">16</td>
              <td align="right">3.18%</td>
              <td align="right">5.99%</td>
            </tr>
            <tr>
              <td>Customer Alliance</td>
              <td align="right">5</td>
              <td align="right">0.99%</td>
              <td align="right">1.87%</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>If we consider the total number of hotels, the importance of TripAdvisor as an indicator of
        online reputation can be clearly seen. On that point, it should also be highlighted that
        35.21% of the establishments that displayed online reputation scores on their website and
        65.73% that used external sources showed their TripAdvisor rating (<xref ref-type="fig"
          rid="f1">Figure 1</xref>), whether exclusively or in addition to other reputation
        evaluations, which is a reference point between the hotels under analysis.</p>
      <p><fig id="f1">
          <label>Figure 1:</label>
          <caption>
            <p>Publicity of online reputation of 4- and 5-star Andalusian hotels</p>
          </caption>
          <graphic xlink:href="THM-26-157-g1.jpg"/>
        </fig><bold>3.2. Hypotheses Testing </bold></p>
      <p>The hypotheses were tested by means of the chi-square statistic, obtaining the results
        shown in <xref ref-type="table" rid="t3">Table 3</xref>. Some hypotheses could not be
        tested, due to the fact that they did not meet the necessary requirements to apply the
        chi-square statistic, as some estimates had an expected count of less than 5 (<xref
          ref-type="table" rid="t3">Table 3</xref>).</p>
      <table-wrap id="t3">
        <label>Table 1:</label>
        <caption><title>Results of chi-square statistic tests (p&#60; 0.05)</title></caption>
        <table>
          <thead>
            <tr>
              <td> </td>
              <td> </td>
              <td rowspan="1" colspan="3" align="center">Variables</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Hypothesis </td>
              <td rowspan="2" colspan="1">χ<sup>2</sup>/p</td>
              <td align="center">Publicity</td>
              <td align="center">Type of rating</td>
              <td align="center">Use of external sources</td>
            </tr>
            <tr>
              <td align="center">a</td>
              <td align="center">b</td>
              <td align="center">c</td>
            </tr></thead>
           <tbody> <tr>
              <td rowspan="2" colspan="1">H1. Number of stars</td>
              <td align="center">χ<sup>2</sup></td>
              <td align="right">1.46</td>
              <td align="right">0.899</td>
              <td align="right">0.009</td>
            </tr>
            <tr>
              <td align="center">p</td>
              <td align="right">0.227</td>
              <td align="right">0.343</td>
              <td align="right">0.923</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">H2. Modality</td>
              <td align="center">χ<sup>2</sup></td>
              <td align="right">12.914</td>
              <td align="right">- (*)</td>
              <td align="right">12.242</td>
            </tr>
            <tr>
              <td align="center">p</td>
              <td align="right"><bold><italic>0.002</italic></bold></td>
              <td align="right">- (*)</td>
              <td align="right"><bold><italic>0.002</italic></bold></td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">H3. Age</td>
              <td align="center">χ<sup>2</sup></td>
              <td align="right">1.438</td>
              <td align="right">0.769</td>
              <td align="right">0.001</td>
            </tr>
            <tr>
              <td align="center">p</td>
              <td align="right">0.23</td>
              <td align="right">0.381</td>
              <td align="right">0.979</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">H4. Size</td>
              <td align="center">χ<sup>2</sup></td>
              <td align="right">25.14</td>
              <td align="right">5.131</td>
              <td align="right">11.88</td>
            </tr>
            <tr>
              <td align="center">p</td>
              <td align="right"><bold><italic>0.000</italic></bold></td>
              <td align="right">0.077</td>
              <td align="right"><bold><italic>0.003</italic></bold></td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">H5. Affiliation to a hotel chain</td>
              <td align="center">χ<sup>2</sup></td>
              <td align="right">65.487</td>
              <td align="right">2.069</td>
              <td align="right">2.313</td>
            </tr>
            <tr>
              <td align="center">p</td>
              <td align="right"><bold><italic>0.000</italic></bold></td>
              <td align="right">0.150</td>
              <td align="right">0.128</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="5">(*) More than 20% have expected counts less than 5</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>In accordance with the results of the hypothesis test (<xref ref-type="table" rid="t3"
          >Table 3</xref>), the number of stars neither affected publicity (H1a), nor the type of
        rating displayed (H1b), nor the decision to use external sources of online reputation
        ratings (H1c). </p>
      <p>According to the chi-square statistic, H2a and H2c were confirmed. A significant
        relationship exists between hotel modality and the publicity given to online reputation (χ2
        = 12.914, p =0.002, p&#60; 0.05), as well as the use of external sources to display a
        reputation-related rating on the website (χ2 =12.242, p =0.002, p&#60; 0.05). Accordingly,
        the urban hotels were the most inclined to display their online reputation on their websites
        (60% of the establishments in this modality). Otherwise, the beach hotels tended, to a
        larger extent, to opt for publishing an external rating of their online reputation (67% of
        beach hotels that offered their online reputation). </p>
      <p>On the other hand, the fact that the hotel had started its activity after 2010 was,
        according to the hypothesis test, not dependent on the decision to show the online
        reputation on the establishment’s official website (H3a), the type of rating (H3b), and the
        use of external sources of online reputation (H3c).</p>
      <p>Regarding hotel size, the results of the hypothesis test confirmed H4a and H4c. In that
        sense, Table 3 shows a statistically significant result relating the size of the hotels with
        the publicity of online reputation (χ2 = 25.14, p =0.000, p&#60; 0.05) and with the decision
        to show their reputation ratings obtained through external sources (χ2 = 11.88, p =0.003,
        p&#60; 0.05). In that regard, online reputation via hotel website was less frequent among
        smaller hotels (34% of total small hotels, compared with 58% achieved by the larger hotels).
        In their case, the use of external sources of online reputation was not usually a chosen
        option (only 36% of the small hotels that displayed an indicator of their online reputation
        did so using an external rating), because they preferred to post client opinions directly on
        their website. </p>
      <p>Finally, according to the results of the hypothesis tests, affiliation to a hotel chain
        influenced the decision of a hotel to publicize its online reputation rating on its own
        website (χ2 = 65.487, p =0.000, p&#60; 0.05), so H5a was confirmed. In all, 65% of the hotels
        affiliated to a hotel chain displayed their online reputation on the website compared with
        26% of the independent hotels.</p>
      <p>A summary of the results obtained in the hypothesis testing is shown in <xref
          ref-type="table" rid="t4">Table 4</xref>.</p>
      <table-wrap id="t4">
        <label>Table 4:</label>
        <caption><title>Research questions results</title></caption>
        <table>
          <thead>
            <tr>
              <td>Hypothesis</td>
              <td>Research question</td>
              <td>Answer</td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>H1a</td>
              <td>Will the number of hotel stars influence the publicity
                that is given to online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H1b</td>
              <td>Will the number of hotel stars influence the type of
                rating of online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H1c</td>
              <td>Will the number of hotel stars influence the use of
                external ratings of online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H2a</td>
              <td>Will hotel modality influence the publicity that is given
                to online reputation?</td>
              <td align="center">Yes</td>
            </tr>
            <tr>
              <td>H2b</td>
              <td>Will hotel modality influence the type of rating of online
                reputation?</td>
              <td align="center">-</td>
            </tr>
            <tr>
              <td>H2c</td>
              <td>Will hotel modality influence the use of external sources
                of online reputation?</td>
              <td align="center">Yes</td>
            </tr>
            <tr>
              <td>H3a</td>
              <td>Will hotel age influence the publicity that is given to
                online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H3b</td>
              <td>Will hotel age influence the type of rating of online
                reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H3c</td>
              <td>Will hotel age influence the use of external sources of
                online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H4a</td>
              <td>Will hotel size influence the publicity that is given to
                online reputation?</td>
              <td align="center">Yes</td>
            </tr>
            <tr>
              <td>H4b</td>
              <td>Will hotel size influence the type of rating of online
                reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H4c</td>
              <td>Will hotel size influence the use of external sources of
                online reputation?</td>
              <td align="center">Yes</td>
            </tr>
            <tr>
              <td>H5a</td>
              <td>Will affiliation to a hotel chain influence the publicity
                given to online reputation?</td>
              <td align="center">Yes</td>
            </tr>
            <tr>
              <td>H5b</td>
              <td>Will affiliation to a hotel chain influence the type of
                rating of online reputation?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td>H5c</td>
              <td>Will affiliation to a hotel chain influence the use of
                external sources of online ratings?</td>
              <td align="center">No</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="3">
                <list list-type="bullet">
                  <list-item>
                    <p>A Chi-Square distribution test cannot be assumed when no more than 20% of the
                      cells have expected values (counts) of less than 5</p>
                  </list-item>
                </list>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="conclusions">
      <label>CONCLUSION</label>
      <p>There are ever-increasing numbers of tourists who consult the Internet both for planning
        and for searching for information, as the online reputation of the possible destination is
        one among various decision-making criteria. Considering, in addition, the development and
        the extension of the use of OTAs as a reservation procedure for accommodation, it is
        essential for the hotels to have an appealing website, in order to be able to compete
        through direct reservations. In that regard, the use of hotel websites as a marketing
        strategy in some countries was studied, by analysing what information was shown, arriving at
        the conclusion that they were used ineffectively (<xref ref-type="bibr" rid="Li">Li, Wang
          and Yu 2015</xref>; <xref ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg
          and Holthof 2018</xref>). Although they analysed whether or not the websites showed client
        opinions or links to review pages like TripAdvisor (<xref ref-type="bibr" rid="DePelsmacker"
          >De Pelsmacker, Van Tilburg and Holthof 2018</xref>), they remained silent over the online
        reputation indicators and the type of rating that was shown, as well as any possible
        variables that may be of influence.</p><p>The results of our study have
            demonstrated two important aspects. First of all, that Andalusian 4- and 5-star hotels
            are adapting to the new competitive environment of online sales, in which the opinions
            of previous clients may be a determining factor in the selection of the hotel
            establishment. This tendency can be seen from the information relating to online
            reputation that 53.08% of the hotels displayed on their websites.</p><p>Secondly, with regards to type and source of the rating, the establishments
            that were analysed tended, in their majority, to display a numeric score on the home
            page and, in 53.56% of all cases, used an external source of online ratings, mainly with
            the result displayed by a review aggregator or the rating obtained by the hotel on
            TripAdvisor. </p><p>The typical profile of a hotel that displayed an online reputation indicator on its website was
        either a medium or large-size urban hotel affiliated to a hotel chain. </p><p>In accordance with the results of the
            hypothesis test, a significant relationship exists between hotel modality and the
            publicity given to online reputation (H2a), as well as the use of external sources
            (H2c). Furthermore, a statistically significant result was found relating the size of
            the hotel with both the publicity given to online reputation (H4a) and the decision of
            the hotel to show its reputation ratings obtained through external sources (H4c).
            Finally, it became evident that there was a relation between the affiliation to a hotel
            chain and the decision of a hotel to publicize its online reputation rating on its
            official website (H5a). </p><p>On the other hand, the number of stars
            did not affect publicity (H1a), type of rating (H1b) or decision to use external sources
            of online reputation ratings (H1c). In addition, the age of the hotel was not dependent
            on the decision to publicity the online reputation (H3a), the type of rating (H3b) or
            the use of external sources (H3c). Regarding hotel size, the results of the hypothesis
            test showed no significant result in relation to the type of rating (H4b). Likewise, the
            relationship between affiliation to a hotel chain and type of rating (H5b) or use of
            external sources of online reputation ratings (H5c) could not be
            demonstrated.</p><p>The main contribution of this work is that it has shed light on how hotels treat online
        reputation publicity on their official websites, at a time of high competition from OTAs.
        According to <xref ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg and Holthof
          (2018, p. 53)</xref> "integrating third party reviews on the hotel website seems to be
        most important, since they have an impact on both the number and the valence of online
        reviews, which in turn leads to both a higher room occupancy and RevPar". Surprisingly, we
        found that 46.92% of hotels displayed no information on their online reputation, which
        reduced their chances of directly marketing their rooms, allowing other reservation websites
        to do so instead. In that respect, 35.21% of the hotels accepted TripAdvisor as the main
        point of reference for the selection of tourist destinations, which were similar to the
        results obtained (37.98%) in the study which sampled 3- and 4-star hotels in Belgium, in
        2016 (<xref ref-type="bibr" rid="DePelsmacker">De Pelsmacker, Van Tilburg and Holthof
          2018</xref>). This external management rating system could be especially interesting for
        those hotels without sufficient economic resources to manage online opinions internally or
        unable to afford a review aggregator. While until just a few years ago TripAdvisor acted
        solely as a comparison site for the hotel industry, since 2016 it has offered the
        possibility of making reservations via the TripAdvisor website, converting it into a direct
        competitor to the hotel websites. Bearing in mind that hotel establishments are currently
        seeking to promote direct sales as a growth strategy via a reduction in commission for OTAs,
        the conversion of TripAdvisor into an instant booking enabler could change the attitude of
        hotels with regards to the use of the TripAdvisor brand for online reputation.</p><p>In
            addition, this work allows to put the focus on smaller establishments that do not belong
            to hotel chains. It is this type of hotel that hotel associations and government bodies
            should focus on in order to improve their competitiveness through the improvement of
            websites and the promotion of direct bookings.</p><p> We are conscious of the fact
          that the conclusions of this study cannot be generalized, due to its investigative focus
          on 4- and 5-star hotels in Andalusia, characterized by a high rate of association with
          hotel chains. Those chains may in turn have a knock-on effect on the publicity of online
          reputation, as it is incorporated, in many cases, in corporate policies. It would,
          therefore, be interesting to widen the field of the study to all hotels with fewer stars,
          in order to analyse whether they behave in a similar way to the hotels of a superior
          category. Future investigations will therefore analyse its presence in the above-mentioned
          establishments, as well as widening the geographical field, in order to analyse any
          possible parallels in a search for more general conclusions.
      </p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="Andalusian ">
        <mixed-citation publication-type="data" publication-format="electronic">
          <collab>
            Andalusian Regional Department of Tourism and Sports [Consejería de Turismo y Deporte de la Junta de Andalucía]
          </collab>
          (<date date-type="pub">
            <year>2017</year>
          </date>),
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