Luisa Helena Pinto, Rita Portugal and Patricia Viana
Numerous studies have shown that minority workers are disadvantaged in the labour market due to stereotypes and discrimination. However, published research on résumé screening has…
Abstract
Purpose
Numerous studies have shown that minority workers are disadvantaged in the labour market due to stereotypes and discrimination. However, published research on résumé screening has overlooked the effects of multiple social categorisations pertaining to candidates' gender, education and origin. This study addresses this gap and examines whether the gender, the level of education and the national origin cues mentioned in the résumé affect the perceived employability of candidates.
Design/methodology/approach
This study employs an experimental between-subjects factorial design in that 12 résumés varying in gender, education and national origin were rated by 373 Portuguese working adults.
Findings
The results documented a gender premium as women were favoured in interpersonal and job skills but not in job suitability, and an education premium, since higher educated candidates were preferred despite their gender and origin. No meaningful interactions for gender × education × national origin were observed, which suggests that ingroup favouritism and outgroup discrimination in résumé screening can be averted.
Originality/value
The findings endorse a multidimensional view of perceived employability by investigating candidates' skills and job suitability from the viewpoint of the decision-makers, which extends our understanding of résumé-screening discrimination. This is critical to prevent hiring discrimination at an earlier career stage, which can increase youth employment and enhance the integration in the labour market of local minorities such as women, inexperienced workers and second-generation immigrants.
Details
Keywords
Sérgio Moro, Paulo Rita, Cristina Oliveira, Fernando Batista and Ricardo Ribeiro
This study aims to propose a data-driven approach, based on open-source tools, that makes it possible to understand customer satisfaction of the accommodation offer of a whole…
Abstract
Purpose
This study aims to propose a data-driven approach, based on open-source tools, that makes it possible to understand customer satisfaction of the accommodation offer of a whole country.
Design/methodology/approach
The method starts by extracting information from all hotels of Portugal available at TripAdvisor through Web scraping. Then, a support vector machine is adopted for modeling the TripAdvisor score, which is considered a proxy of customer satisfaction. Finally, knowledge extraction from the model is achieved using sensitivity analysis to unveil the influence of features on the score.
Findings
The model of the TripAdvisor score achieved a mean absolute percentage error of around 5 per cent, proving the value of modeling the extracted data. The number of rooms of the unit and the minimum price are the two most relevant features, showing that customers appreciate smaller and more expensive units, whereas the location of the hotel does not hold significant relevance.
Originality/value
National tourist offices can use the proposed approach to understand what drives tourists’ satisfaction, helping to shape a country’s strategy. For example, licensing new hotels may take into account the unit size and other characteristics that make it more attractive to tourists. Furthermore, the procedure can be replicated at any time and in any country, making it a valuable tool for data-driven decision support on a national scale.
Details
Keywords
Sónia Maria Martins Caridade, Rosa Saavedra, Rita Ribeiro, Ana Cristina Oliveira, Manuela Santos, Iris Sofia Almeida and Cristina Soeiro
This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training…
Abstract
Purpose
This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training of professionals to use remote support (RS).
Design/methodology/approach
This cross-sectional study involves a sample of 196 support professionals, mainly women (91.8%) and who integrate the Portuguese National Support Network for victims of domestic violence (NSNVDV) (Mean age = 36.49; SD = 10.52).
Findings
Telephone emerges as the main RS communication media used in the lockdown (43.9%) and the emergency state periods (57.1%). Participants reported to have never used any social applications (41.8% vs 41.8%) or videoconference (46.4% vs 58.2%), in both periods assessed, i.e. lockdown and emergency state, respectively, and 82.7% assumed to have no training with RS to assist VAWDV victims. However, support professionals recognized several advantages in using RS such as dealing with isolation, reducing inhibition, fear and shame and in promoting the victims’ empowerment.
Research limitations/implications
Given the exploratory nature of this study, only descriptive analyzes were conducted.
Originality/value
During the COVID-19 pandemic, little is known about effective RS given by professionals to victims of VAWDV in the Portuguese context. The paper aims to add knowledge to the studied field.
Details
Keywords
Paulo Rita, Tiago Oliveira, António Estorninho and Sérgio Moro
This study aims to present a model drawn on both the extension of the unified theory of acceptance and use of technology (UTAUT2) and the perceived value for explaining consumer…
Abstract
Purpose
This study aims to present a model drawn on both the extension of the unified theory of acceptance and use of technology (UTAUT2) and the perceived value for explaining consumer behavior toward mobile hospitality services (MHS) from two perspectives: intention to use and recommendation.
Design/methodology/approach
The partial least square (PLS) was applied to data gathered from 348 validated responses to a survey to test a number of research hypotheses.
Findings
Results found that the proposed conceptual model explains 62 per cent of the intention to use of MHS and 51 per cent of the variation in the recommendation. Perceived value plays a role in explaining both the intention to use and recommend MHS, with both constructs also helping in explaining behavior intention, to which effort expectancy, facilitating conditions and performance expectancy also contribute.
Originality/value
This research goes beyond perceived value by combining it with a cornerstone model, UTAUT2, used in technology adoption studies. The paper addresses updated MHS that include but are not limited to mobile hotel reservations.
Details
Keywords
National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a…
Abstract
Purpose
National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy.
Design/methodology/approach
Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016.
Findings
While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy.
Originality/value
This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.
Details
Keywords
Sérgio Moro, Paulo Rita, Joaquim Esmerado and Cristina Oliveira
Airbnb Experiences is a new type of service launched by Airbnb in November 2016, where users can offer travellers a wide range of activities. This study devotes attention to…
Abstract
Purpose
Airbnb Experiences is a new type of service launched by Airbnb in November 2016, where users can offer travellers a wide range of activities. This study devotes attention to analysing customer feedback expressed in online reviews published in Airbnb to evaluate those experiences.
Design/methodology/approach
A total of 1,110 reviews were collected from 12 categories, including 111 experiences, resulting in 10 reviews per experience. First, the sentiment score was computed based on the text of the reviews. Second, 17 quantitative features encompassing user, Airbnb experience and review information were used to model the score through a support vector machine. Third, a sensitivity analysis was performed to extract knowledge on the most relevant features influencing the sentiment score.
Findings
Tourists writing online reviews are not only influenced by their tourist experience but also by their own online experience with the booking and online review platform. The number of reviews made by the user accounted for more than 20 per cent of relevance, while users with more reviews tended to grant more positive reviews.
Originality/value
Current literature is enhanced with a conceptual model grounded on existing studies that assess tourist satisfaction with tour services. Both services online visibility and user characteristics have shown significant importance to tourist satisfaction, adding to the existing body of knowledge.
Details
Keywords
Ting Yu, Paulo Rita, Sérgio Moro and Cristina Oliveira
Social media has become the main venue for users to express their opinions and feelings, generating a vast number of available and valuable data to be scrutinized by researchers…
Abstract
Purpose
Social media has become the main venue for users to express their opinions and feelings, generating a vast number of available and valuable data to be scrutinized by researchers and marketers. This paper aims to extend previous studies analyzing social media reviews through text mining and sentiment analysis to provide useful recommendations for management in the restaurant industry.
Design/methodology/approach
The Lexalytics, a text mining artificial intelligence tool, is applied to analyze the text of the online reviews of the restaurants in a touristic Dutch village extracted from the most frequently used social media platforms focusing on the four restaurant quality factors, namely, food and beverage, service, atmosphere and value.
Findings
The findings of this research are presented by the identified key themes with comparisons of the customers’ review sentiment between a selected restaurant, Zwaantje, vis-à-vis its bench-mark restaurants set by a specific approach under the abovementioned quality dimensions, in which the food and beverage and service are the most commented by customers. Results demonstrate that text mining can generate insights from different aspects and that the proposed approach is valuable to restaurant management.
Originality/value
The paper provides a relatively big scale in numbers and resources of social media reviews to further explore the most important service dimensions in the restaurant industry in a specific tourist area. It also offers a useful framework to apply the text mining business intelligence tool by comparison of peers for local small business restaurant practitioners to improve their management skills beyond manually reading social media reviews.
Details
Keywords
Rita Alcaire, Sofia José Santos and Filipa Subtil
Stemming from a critical approach towards technology (understood as a producer of meanings, subjectivity and agency, and, thus, shaped by power relations) and taking into account…
Abstract
Stemming from a critical approach towards technology (understood as a producer of meanings, subjectivity and agency, and, thus, shaped by power relations) and taking into account the role of broader societal norms and structures in technological uses and gratifications, this chapter explores the (re)negotiations of gender and sexual identities among Portuguese young adult app users. It focuses on if app usage allows these users to break heterocisnormativity and hegemonic notions of masculinity. For that purpose, the study conducted six focus groups involving 31 participants and 25 semi-structured interviews with young adults (18–30 years old). The scripts were designed to collect data about mobile app usage practices and what meanings interviewees attribute to used platforms, navigating through imaginaries, meanings, appropriations, incorporations and mostly negotiations. Analytically, this study contributes to an enhanced understanding of how apps might change young adult lives concerning gender and sexual identities and to challenging uses and gratifications theory, which, after almost 80 years since its first formulations, has gained new impetus with the ongoing digitisation process and the so-called interactive technologies that integrate it.
Details
Keywords
Ana Marta M. Flores, Inês Amaral and Rita Basílio de Simões
The influence of digital media and mobile technologies on the interpersonal dynamics of young individuals across various aspects of their daily lives underscores the significant…
Abstract
The influence of digital media and mobile technologies on the interpersonal dynamics of young individuals across various aspects of their daily lives underscores the significant role of digital media in shaping their experiences. Research exploring how individuals engage with mobile applications (m-apps) has revealed the constraining effects of platform norms and politics on users' expressive identities. This chapter examines the evolving landscape of media consumption, engagement and civic participation amidst the proliferation of new media modalities, focussing on m-apps. The authors highlight the pervasive adoption of mobile apps across diverse categories and the escalating temporal investment individuals allocate to these platforms for fostering interpersonal connections. Drawing from a feminist and intersectional perspective, the authors explore how young adults navigate the technicity and imaginaries of m-apps, incorporating them into their daily routines and (re)negotiating their gender and sexual identities. Through the MyGender project, the authors investigate the relationship between m-apps and power dynamics, examining the construction and reconstruction of gender and sexuality across platforms. The findings underscore the need for critical engagement with digital technologies as sociocultural products actively reshaping gender relations and sexual practices. The text ends with an overview of the book, briefly presenting the remaining nine chapters.
Details
Keywords
Sandra Maria Correira Loureiro, Paulo Rita and Eduardo Moraes Sarmento
The purpose of this study is to contribute with new insights into the nature, dimensionality and measurement of the core essence of the small city boutique hotel (SCBH), something…
Abstract
Purpose
The purpose of this study is to contribute with new insights into the nature, dimensionality and measurement of the core essence of the small city boutique hotel (SCBH), something which has been limited in the literature to date. It further explores the conceptual relationships of SCBH with other constructs, providing greater understanding of the nature of these specific conceptual associations and showing that the SCBH scale exhibits construct validity.
Design/methodology/approach
This study followed the Churchill’s paradigm to methodologically design the study and develop the scale. Based on an exploratory qualitative inquiry (one focus group and ten interviews) and quantitative assessment (two surveys), support was found for a three-dimensional scale.
Findings
Results support the proposed measures of the scale (dream, hospitality and style) in terms of construct, convergent, discriminate, nomological and predictive validity. The findings also suggest that while authenticity acts as a SCBH antecedent, pleasant arousal and preference represent SCBH consequences.
Originality/value
By developing and validating a SCBH scale for city destination, this study addresses an identified literature gap. Specifically, it conceptualizes SCBH as guests’ perception about core characteristics of SCBHs located in the city.