Search results

The purpose of this paper is to analyze the occurrence of terms to identify the relevant topics and then to investigate the area (based on topics) of hospitality services that is highly associated with relationship quality. This research represents an opportunity to fill the gap in the current literature, and clarify the understanding of guests’ affective states by evaluating all aspects of their relationship with a hotel.

This research focuses on natural opinions upon which machine-learning algorithms can be executed: text summarization, sentiment analysis and latent Dirichlet allocation (LDA). Our data set contains 47,172 reviews of 33 hotels located in Las Vegas, and registered with Yelp. A component-based structural equation modeling (partial least squares (PLS)) is applied, with a dual – exploratory and predictive – purpose.

To maintain a truly loyal relationship and to achieve competitive success, hospitality managers must take into account both tangible and intangible features when allocating their marketing efforts to satisfaction-, trust- and commitment-based cues. On the other hand, the application of the PLS predict algorithm demonstrates the predictive performance (out-of-sample prediction) of our model that supports its ability to predict new and accurate values for individual cases when further samples are added.

LDA and PLS produce relevant informative summaries of corpora, and confirm and address more specifically the results of the previous literature concerning relationship quality. Our results are more reliable and accurate (providing insights not indicated in guests’ ratings into how hotels can improve their services) than prior statistical results based on limited sample data and on numerical satisfaction ratings alone.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

This paper aims to describe a method for combining perceived community support, relationship quality and the extended technology acceptance model in the same empirically derived associative network. The research also examines the moderating role of accumulation of knowledge (based on beliefs and opinions) derived from social interactions.

The Pathfinder algorithm is a valid approach for determining network structures from relatedness data. Such a graphical representation provides managers with a comprehensible picture of how social behaviours relate to loyalty-based dimensions.

As the benefits of community participation and integration might be differently evaluated by new and long-term users, the research examines the associative network by levels of user familiarity. This study indeed contributes to the analysis of enduring social bonds with respect to individuals’ decision-making processes, as it provides details representing specific relationships between diverse concepts based on true-loyalty.

The application of Pathfinder to the study of online social services and user behaviour appears to have potential for unveiling the structures of social network sites members and designing successful strategies for prospective community managers.

This is the first study to the author’s knowledge that empirically tests a theory-grounded framework for integrating individual characteristics and relational driver and focuses on associative structures evidenced as a representation of the most salient loyalty-based concepts by also studying the moderating effects of familiarity.

The academic literature debates the desirability of sponsoring alcohol products at sporting events, a discussion that increases as major sporting events approach. This study aims to examine the influence that sponsorship of an alcoholic product such as beer has on the sports spectator, and the level of efficacy with respect to congruent, alcohol, and incongruent sponsorship.

The experiment was performed on 180 subjects considering three variables 3 × 3 × 2 (congruency type vs alcohol; sport discipline; placement). The experiment consisted of exposure to sponsored sports posters. Visual attention was recorded through eye tracking and then a self-reported questionnaire.

Through an experiment using eye tracking the results showed that the recall variable is higher among alcohol sponsorships and incongruent sponsorship, but it cannot be concluded either that the intention to buy or the attitude toward the brand differ among the sponsorships analyzed.

Alcohol brand is perceived as an incongruous brand in the context of sports sponsorship. Congruent sponsors attract more attention and recall, but no differences in terms of intention to buy. If purchase intent and consumption does not increase, perhaps sports sponsorship by alcohol brands should be reconsidered.

This research makes at least three relevant contributions to the scientific literature. (1) It examines the response to sponsorship in the media of the sports poster. (2) It analyses the consumer's response using neurophysiological means and provides new indicators in this area and (3) It compares performance indicators such as purchase intent, recall and brand attitude for alcoholic and non-alcoholic brand sponsors. These contributions could introduce new information about sponsorship performance.

The objective is to examine the influence of articulation on the effectiveness of sports sponsorship.

This research uses an experimental design with the following factors: articulation (articulated vs unarticulated), congruence (congruent and incongruent) and sporting discipline (tennis, F1 and sailing).

Even though the academic literature argues that articulation improves the indicators of performance, the authors have been unable to demonstrate that articulated sports posters have an influence on visual attention, congruence or recall. The results show that articulation diverts visual attention from the brand to the text, diminishing recall.

This is the first manuscript to use neurophysiological measures of the articulation effect. This is also the first manuscript that examines the differences in attention between articulated sponsorships based on their congruence.

This study explores the effect of video assistant referee (VAR) sponsorship on spectator response and compares it with advertising and conventional sponsorship.

An experiment with 809 subjects is conducted by analyzing 20 one-minute video clip stimuli from a Premier League soccer game divided into four formats: two formats of VAR sponsorship, advertising, and conventional sponsorship.

The results show that the indicators of recall, credibility, and perceived congruence improve when the VAR sponsorship format is used.

This is the first manuscript to examine the effectiveness of a new type of sponsorship: VAR sponsorship. This manuscript provides metrics that will guide practitioners on whether to use this type of sponsorship.

This study aims to investigate how ego‐involvement and the design of online services may be associated with affective commitment, making the distinction between hedonic and utilitarian services.

This research uses partial least squares to estimate the parameters of the research model.

This research reaches four conclusions. First, that visual aesthetics and usability have a significant effect on the desire to continue using online services. Second, that ego‐involvement becomes an important quasi‐moderator when engaging in web‐based relationships. Third, that perceptions of aesthetics (and usability) more significantly influence highly‐involved users' commitment to hedonic (utilitarian) online services than their commitment to instrumental (hedonic) services. Fourth, the influences of aesthetics on usability reflect the benefits that web information systems (WIS) offer.

The model does not include all the relevant variables. Additional studies are required to validate these results.

This study serves to enhance the aesthetics‐usability‐commitment framework to assess the long‐term viability of online services, and to appraise its validity via utilitarian and hedonic services. Designers could customise the WIS by taking into account ego‐involvement and the site's intended purpose.

A review of the relationships between commitment, involvement and web atmosphere concerning hedonic and utilitarian online services reveals that there are still very few studies that analyse their quasi‐moderating effects. This research will help to fill this gap, by analysing the examples of electronic banking services and virtual travel communities to represent the utilitarian and hedonic benefits respectively.

This paper aims to test an interaction effects model that includes perceived community support, community satisfaction, and post‐adoption behaviours by analysing a social networking site called Tuenti. Inclusion of routinisation as a moderator allows, in particular, the overcoming of inconsistencies of relationships among key drivers found in previous studies.

The research uses partial least squares to estimate the parameters of the interaction effects model.

Overall, community satisfaction leads Tuenti members to develop community participation and feelings of belonging, and identification with other members. In particular, routinised behaviours predispose members to a higher influence of community satisfaction on community integration – reducing the main effect of perceived support. The higher community satisfaction also results in a lower influence of perceived support on active participation.

Although previous research provides evidence of the possible effects of perceived community support and satisfaction on social behaviours, a review of the literature reveals that there are still very few published studies that analyse the interaction effects of community satisfaction and routinisation and consequently, improve the explanatory power of the theoretical framework.

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved.

The approach takes the form of theoretical modelling.

A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified.

The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research.

The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented.

The paper is based on and adapts classical theories of consumer behaviour, integrating them into particular theories developed within the framework of computer‐mediated environments.

To analyse the web acceptance and usage between goal‐directed users and experiential users, incorporating intrinsic motives to improve the particular and explanatory TAM (technology acceptance model) value – traditionally related to extrinsic motives.

A survey instrument was used to gather data to test the relationships shown in the research model. Data were collected from a sample of online questionnaires filled out by subscribers located in three discussion‐mailing lists – administered by RedIris – about different topics (e.g. experimental sciences, social sciences and humanities). A structural equation modeling (SEM), specifically partial least squares (PLS), is proposed to assess the relationships between the constructs together with the predictive power of the research model.

The empirical development suggests that there is scope for further extension of TAM to adapt to the web‐based usage and its profitable consequences. The article may help to further the empirical research and to clarify and examine a web acceptance and usage model. In general, experiential and goal‐directed behaviours moderate the key relationships in the model. Experiential and goal‐directed users do not weigh extrinsic and intrinsic motives in the same way when on the web. Goal‐directed users are more driven by instrumental factors and focused on their decision‐making process while experiential users are more motivated by process..

First, constructs of enjoyment and concentration are used to define flow. However, because of the flow definition's conceptual‐vagueness, operationalising the flow construct has been questioned in the previous empirical works. Second, the cross‐sectional study is also an important limitation. Since the users' perception and intention can change over time, it is important to measure these quantities at several points of time. Third, the sample sizes are relatively small. Fourth, the model needs to be tested with more objective measures to compare possible divergences. Finally, the model clearly does not include all the relevant variables.

The results could be used to explain and to improve the experiential and goal‐directed users' experience of being and to return to the web.

The value of this study is to reveal the moderating influences of browsing‐modes on relationship between flow and TAM‐beliefs on the web, and, also, how the flow impacts the attitude and intention to use web between experiential and goal‐directed users.