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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>ORCID:</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Structural Equations Method for the Analysis of the Quality of Service in the Hotel Industry</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Clara Gonzaga-Vallejo</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Salvador Cortés-García</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Betty Cuenca</string-name>
          <email>bycuenca@utpl.edu.ec</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Universidad Técnica Particular de Loja</institution>
          ,
          <addr-line>San Cayetano Alto, Loja, 110107</addr-line>
          ,
          <country country="EC">Ecuador</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>This article examines the quality of service experienced at the Sonesta Loja hotel in Ecuador. We calculated an overall guest satisfaction index using a model consisting of four constructs and four hypothesized relationships that are tested through the Structural Equation Method using ADANCO software. Data were obtained from a survey applied to a sample of 334 guests between March 2019 and March 2020. The results show that tangible and intangible elements have a high significance on the perceived value, and this, on the level of satisfaction. Lodging facility managers can use the findings to identify meaningful attributes to guests, allowing them to redirect and provide specific guidelines to increase perceived quality. Loja hotel industry can use the results to improve the competitiveness of the accommodation sector and establish specific service marketing strategies. service quality, intangible elements, tangible elements, level of satisfaction, perceived value,</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>and small and medium-sized enterprises.</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>
        This article focuses on one of the tourism service industries that has seen the most significant
development in recent years: the lodging industry. This fact has generated the need to integrate tools
that make it possible to determine the factors and criteria users consider when evaluating the quality of
service. The purpose is to obtain indicators contributing to the design and management of competitive
strategies [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
      </p>
      <p>
        The services sector has played an essential role in countries' economies worldwide. It currently
generates more than two-thirds of the world's gross domestic product -GDP- and is the primary source
of employment [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Therefore, the economy is focused on service activities, unlike in the past, when
the economy was centered on goods-producing companies [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. These changes have led to the growth
of the offer with an increasing number of companies. However, one of its primary needs is incorporating
quality management tools with a vision oriented to customer satisfaction.
      </p>
      <p>
        Services are considered intangible economic activities, so the generation of value is associated with
immediate consumer sensations [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. Today's customers are more demanding and critically value
the factors that meet their needs. These factors may come not only from your perception but may also
be motivated by other people [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. In addition, external factors (social, political, cultural, and
technological) influence the purchase decision.
      </p>
      <p>
        Companies must determine the tangible and intangible factors that affect their customers' perception
of service quality, image, and reputation [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Consequently, they must adopt new marketing
strategies focused on innovation to meet current and future customer needs to be based on market
analysis, consumer behavior, and trends.
      </p>
      <p>2022 Copyright for this paper by its authors.</p>
      <p>The services sector includes tourism companies, which are considered one of the activities with solid
growth potential. In Ecuador, according to the Ministry of Tourism, in 2019, the contribution of tourism
companies to GDP was 2.1%. In this context, accommodation and food and beverage service companies
generated 477 382 jobs, representing 6.1% of total employment. Those data highlight the opportunity
to create new local enterprises in the services area.</p>
      <p>
        Recent research has evaluated the effects of service quality that directly and indirectly affect hotel
customer loyalty and purchase intent [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. The results obtained through surveys and applied analysis
techniques showed the correlation between service quality and loyalty in purchase intention. This means
that the service quality and loyalty variables have a significant influence as determining factors in
purchase intention. Moreover, quality has a more significant impact on purchase intention. Therefore,
hotel owners must provide quality service to impact consumer loyalty directly and sustain purchase
intent. [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] oriented his research to evaluate the experience of tourists through satisfaction with the
services received. He correlated satisfaction with other variables by applying structural equations to the
data collected, obtaining important information about the offer and quality of the services provided. For
example, the survey allowed analyzing factors related to expectation, quality, satisfaction, value,
complaint handling, and tourist loyalty. The results showed a significant relationship between quality,
value, and consumer satisfaction. Also, the results evidenced a high and positive relationship between
customer satisfaction and loyalty.
      </p>
      <p>This study contributes to the literature on consumer behavior and the theoretical and empirical
evidence on evaluating service quality in lodging establishments. For this purpose, the paper is
structured as follows: first, the research question and hypotheses are established; second, we develop
the methodology used and the sampling characteristics. Finally, the results, discussion, and conclusions
are proposed.
1.1.</p>
    </sec>
    <sec id="sec-3">
      <title>Research question and hypothesis</title>
      <p>Based on the literature review conducted, the research questions are aimed at determining the
influence that tangible and intangible elements of the establishment have on the perceived value of
guests and the extent to which perceived value affects the level of satisfaction. For this purpose, we
have developed the following hypotheses:
H1: There is a positive relationship between tangible elements and perceived value.
H2: There is a positive relationship between intangible elements and perceived value.
H3: There is a positive relationship between perceived value and satisfaction level.
H4: There is a positive relationship between tangible elements and the level of satisfaction.</p>
    </sec>
    <sec id="sec-4">
      <title>2. Methodology 2.1.</title>
    </sec>
    <sec id="sec-5">
      <title>Population and sample</title>
      <p>The study population is composed of the guests of the Sonesta Loja hotel. This establishment is in
the city of Loja, in southern Ecuador, has a five-star category, and is operated by the company Grupo
Hotelera Londoño (GHL). This company operates its brands and international franchises in 13 Latin
American countries. Currently, GHL operates 72 hotels that share the same service standards.</p>
      <p>The data comes from a survey of 735 guests from March 2019 to March 2020. In the initial
verification process, it was observed that there were sections that the respondents had not answered. In
this regard, to ensure the availability of representative and complete information, the following
inclusion criteria were considered: i.) surveys during the period March 2019 - March 2020, ii.) all the
questions that make up the different sections or blocks were answered, and iii.) surveys conducted
through the REVINATE system. In summary, the sample consisted of 334 observations that met the
inclusion criteria.</p>
    </sec>
    <sec id="sec-6">
      <title>Instruments</title>
      <p>The questionnaire application is one of the techniques of most outstanding contribution. In this case,
it was applied online through the REVINATE system that collects the guest's opinion once their stay is
over. The system sends an e-mail to each client with the survey and a statement of reasons, highlighting
the importance of filling it out. Once answered, the guest's opinion is received, stored, and tabulated.
This process facilitates descriptive statistical analysis. The Quality Manager coordinates its use within
the company.</p>
      <p>The researchers managed the authorization to have access to the REVINATE reports. The data are
compatible with EXCEL spreadsheets, through which we proceeded to reorganize the variables to adapt
them to the structure required by the proposed model. The questionnaire consists of 50 questions
grouped into ten blocks, including four sociodemographic questions.
2.3.</p>
    </sec>
    <sec id="sec-7">
      <title>Analysis method</title>
      <p>
        As a result of an exhaustive review of the existing tourism literature, 46 variables were grouped into
four constructs (dimensions) to form the structural equation model (SEM): tangible elements, intangible
elements, perceived value, and satisfaction. Following [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] 's proposal, an SEM was formulated using
ADANCO software to test the hypotheses. According to [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ], SEM tests for causal paths between latent
variables and measures the collective strength of a set of variables. The path analysis through mediation
assumes that one or some variables can influence an outcome directly and indirectly through another
variable [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. According to our hypotheses, Figure 1 shows a model where TE and IE influence directly
to PV and indirectly influence SL through PV; also, TE could affect directly to SL.
      </p>
      <p>TE: Tangible</p>
      <p>elements
IE: Intangible
elements</p>
      <p>H
1 +</p>
      <p>H
2 +</p>
      <p>PV: Perceived
value</p>
      <p>H
4 +</p>
      <p>H
3 +</p>
      <p>Following the procedure, the stability and consistency of the model variables were evaluated using
ADANCO software. Finally, through the same ADANCO, the final analysis is carried out using the
Structural Equations Method (SEM), which assesses the interrelationships of the variables and tests the
proposed hypotheses.</p>
    </sec>
    <sec id="sec-8">
      <title>3. Analysis and results 3.1.</title>
    </sec>
    <sec id="sec-9">
      <title>Reliability analysis</title>
      <p>
        Reliability analysis evaluates the consistency of the variables measured in each construct. For this,
a standardized loading on each variable greater than 0.707 is recommended [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ], [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ], [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ]. However,
we decided to include only those variables with a Cronbach's alpha &gt;0.6, following the
recommendations of some researchers who point out that, for studies in initial phases, a value of 0.600
is sufficient [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ], [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ], [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ]. In addition, variables are essential to retaining construct validity [
        <xref ref-type="bibr" rid="ref22">22</xref>
        ]. Our
results have values between 0.649 and 0.828 which shows acceptable construct reliability (See Table
1).
      </p>
    </sec>
    <sec id="sec-10">
      <title>Measurement of model</title>
      <p>The model proposed by the research hypothesizes the existence of four significant causal
relationships between four dimensions, namely, i.) tangible elements, ii.) intangible elements, iii.)
perceived value, and iv.) level of satisfaction.</p>
      <p>The consistency of the constructs that make up this model was determined through the reliability
process. This process was done from an analysis of the level of significance and reliability, taking into
consideration Dijkstra-Henseler's rho (ρA), Jöreskog's rho (ρc) and Cronbach's alpha(α), as shown in
Table 2.</p>
      <p>
        The results in Table 2 show acceptable consistency and reliability. Most of the indicators are more
significant than 0.8, except the perceived value (PV), which was 0.7444. Looking specifically at the
assessment of the model through Dijkstra-Henseler's rho (ρA) shows that high composite reliability is
available with values above 0.7 and below 0.9, which is the expected range for composite models [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ].
      </p>
      <p>
        By determining the average variance extracted (AVE), the results show each of the constructs with
an indicator greater than 0.5, thus meeting the criterion established for this factor [
        <xref ref-type="bibr" rid="ref24">24</xref>
        ]. According to
discriminant validity, IE has an AVE of 0.5261, PV is 0.5658, SL 0.6277, and IE obtained 0.5490.
These indicators confirm that the model is reliable and the results are consistent (see Table 3).
      </p>
      <p>Regarding the direct effects between the constructs of the model, the significance between variables
was evaluated through p-values. Table 4 shows that the significance between the perceived quality of
the intangible elements (IE) of the Hotel Sonesta Loja establishment and the perceived value (PV) is
less than 0.01, which indicates that the relationship between these two constructs is significant at 99%.
It is also true between perceived value (PV) and level of satisfaction (SL), as well as between tangible
elements and perceived value. On the other hand, when analyzing the direct effect between the tangible
elements (TE) and the level of satisfaction (SL) of the clients of the Hotel Sonesta Loja, the p-value
was less than 0.05 (p-value=0.0236), which determines a significant linkage at 95%. Therefore, H1,
H2, H3 and H4 are accepted.</p>
    </sec>
    <sec id="sec-11">
      <title>4. Discussion and Conclusions</title>
      <p>
        The system for measuring aspects associated with the quality of service provided by the Hotel
Sonesta Loja has redundant approaches and lacks others that could provide better information. That
agrees with [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], who mentions the importance of having tools that allow determining the factors
that customers consider when measuring service quality.
      </p>
      <p>
        The significance values determined for the relationship between the different constructs allowed us
to conclude that there is a very significant link between the perceived value and the level of satisfaction
in the clients of Hotel Sonesta. That fact enables inferring that customers make an evaluation
considering the relationship between the quality of the service received and the price [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. The fact
that there is a very significant relationship between tangible elements and perceived value reinforced
that derivation. Therefore, some relevant details for hotel guests are the room's cleanliness, the condition
of the room furniture, and the bed arrangement.
      </p>
      <p>
        Concerning the quality of intangible elements and perceived value, there is a very significant link
between these constructs. Specifically, guests' waiting for time check-in or check-out, as well as the
friendliness of the staff, are relevant to the customers' perception of the quality of the service-price
relationship [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. The tangible elements of the hotel and their associated quality have a significant
relationship with the level of customer satisfaction. In other words, guests consider the cleanliness and
tidiness of the rooms to be decisive for their rest.
5. References
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