scholarly journals Airline passengers’ perceptions of service quality: themes in online reviews

2019 ◽  
Vol 31 (2) ◽  
pp. 855-873 ◽  
Author(s):  
Ana Brochado ◽  
Paulo Rita ◽  
Cristina Oliveira ◽  
Fernando Oliveira

PurposeThis paper aims to identify the main themes shared in online reviews by airline travellers, as well as which of these themes were linked with higher and lower value for money ratings.Design/methodology/approachThe research used mixed content analyses (i.e. quantitative and qualitative) to examine 1,200 reviews of six airline companies shared by airline travellers in a social media platform.FindingsThe analyses revealed nine themes in descriptions of airline travel experiences. These are the core services during “flights”, “airport” operations, crew and ground “staff”, ticket “classes”, “seats”, inflight “services”, “entertainment”, overall experiences of “airlines” and post-purchase recommendations of with which companies to “fly”. Low value for money ratings are linked with the “airport” and “flights” themes.Originality/valueThe results offer useful insights into airline travellers’ overall experiences based on social media information and facilitate the identification of the main themes linked with different value for money ratings.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Katie Elson Anderson

Purpose This paper aims to provide information and promote discussion around the social media platform TikTok. Design/methodology/approach Research, literature review. Findings Libraries and library and information professionals should be aware of the potential of TikTok for engagement and information sharing. Originality/value Adds to the research on the social media platform TikTok.


2016 ◽  
Vol 44 (3) ◽  
pp. 20-26 ◽  
Author(s):  
Kenneth Alan Grossberg

Purpose Delineate the strategic implications for three new marketing trends based on digital technology. Design/methodology/approach The author looks at how strategy is being affected by: Marketing automation, where artificial intelligence is used to help win a customer and optimize the search for such potential prospects. Social media, which blends the personal and the businesslike and provides opportunities for engagement with the client on an almost real-time, personalized basis. The manipulation of huge quantities of “Big Data” to increase the efficiency and effectiveness of marketing automation and of deriving value from social media. Findings Under all emerging digital technology scenarios, the marketer’s job becomes more complex and more central to the interaction between the customers and the corporation. Practical implications Social marketing will increasingly involve co-creation of product and brand story with customers, experienced-based marketing and more sophisticated management of the interface between the social media platform and automated marketing. Originality/value This article identifies the integral relationship between advances in marketing technology and strategic opportunities for marketing innovation.


foresight ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 331-350
Author(s):  
Akwesi Assensoh-Kodua

Purpose Social media has become a “thing” not just for its historical purpose of socialisation, but a multi-faceted platform of unpredictable possibilities. With the current high levels of actual usage, business on the platform has assumed different styles and has become one of the competing activities on this platform, creating a dilemma for the future. However, as social beings, we can manage such capricious adventure by means of research, to predict the possible destination before we are taken by surprise. One of such medium of studies is through the philosophies of the continuance intention theories. To this end, the purpose of this paper was to investigated some antecedents of social media that are capable of predicting the direction of this platform to test this theory of continuance intention, and the results from the predictive Smart PLS3 shows that the continuance intention for business on this platform will overtake socialisation to offer the biggest market among the elitist class in the near future, and not China, Nigeria or the NYSE. Design/methodology/approach This paper uses Predictive Smart PLS3 to analyse the continuance intention of social media platforms. Findings Predictive Smart PLS3 shows that the continuance intention for business on social media platform will overtake socialisation to offer the biggest market. Research limitations/implications The questions asked in this study focussed on buyers and not platform managers. As the continuance intention depends on the latter as well, it would have been better if their opinions were also sought to determine what will make them continue to provide social media. Originality/value This paper is among the first to do such a study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Boto-Garcia ◽  
Marta Escalonilla ◽  
Emma Zapico ◽  
Jose F. Baños

Purpose This paper aims to examine hotel guests’ satisfaction relative to room rates paying attention to the heterogeneity in the scale of satisfaction scores. Design/methodology/approach This paper studies guests’ post-purchase hotel evaluation using survey data from a sample of 14,879 tourists visiting a Northern Spanish region. This study estimates a Heteroskedastic Ordered Probit model in which both “cognitive” and “emotional” components of satisfaction are modelled. The model allows us to control for heterogeneity in the scale of the latent satisfaction scores. Findings This paper finds that satisfaction relative to rates (value for money) decreases with expenditure per person and day. Interestingly, this negative relationship mainly holds for those who do not prioritize prices at the time of choosing the hotel. Positive first impressions are positively associated with higher satisfaction. In addition, this study finds that the emotional component of satisfaction increases with hotel quality and hiring a full board, being also greater among women and elderly people. Originality/value Instead of using an overall measure of satisfaction, this paper uses one that gathers how the tourist assesses satisfaction in relation to cost (value for money).


2018 ◽  
Vol 4 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Medéia Veríssimo ◽  
Carlos Costa

Purpose The purpose of this paper is to identify the best hostel practices and trends, and to evaluate and discuss how they are keeping up with the present demand created by the Millennials market. Design/methodology/approach Methodological approach is based on two complementary qualitative methods: ethnographic participant observation and netnography. Portuguese hostels are the target of this study, as they are considered some of the best in the world. First, a fieldwork was conducted in three top-rated hostels in Lisbon, aiming to immerse in hostel’s environment. Then, 300 online reviews were analysed to identify what customers value the most in those services. Data interpretation was done through a content analysis crossing supply-demand perspectives. Findings Results indicate that, while staying in a hostel, the Millennials want to: meet people, engage in activities and events, have local experiences, feel comfortable/at home, get good value for money and enjoy the convenience. In return, hostels play an important role in hospitality industry by pleasing the Millennials, by offering: central location, an interactive atmosphere, functional facilities, well-planned design and decoration, a set of activities and events and personal treatment. Originality/value This paper is one of the few to describe Millennials’ travel behaviour towards hostels’ services.


2020 ◽  
Vol 17 (3) ◽  
pp. 251-266
Author(s):  
Bruno Melo Moura ◽  
André Luiz Maranhão de Souza-Leão

Purpose The National Football League (NFL), the most lucrative sports league in the world, has its second largest foreign audience in Brazil. Its Brazilian broadcasts stimulate the audience to extrapolate television reception and interact through a social media platform, seeking to integrate a collective consumption. Thus, attachments are established between consumers and league. Based on this, this study aims to analyze how the interaction in social media of the Brazilian NFL audience, during the transmissions of its games, results in consumption attachments. Design/methodology/approach The method undertaken was Netnography, commonly used to investigate cultural practices occurring in online environments. The research corpus consisted of messages posted on Twitterhashtags created by the ESPN Brazil channels to reverberate its broadcasts of the league between 2016-2017 and 2017-2018 seasons. Findings The findings of this study indicate that Brazilian audience interaction in social media establishes consumer attachment with the NFL by means of the brand elements and aspects of social life, mediated by the league. Research limitations/implications The research observed only the part of the Brazilian audience of the NFL that engages in the broadcasts of the games through social media. Practical implications The research of this study demonstrates how brands can use social media to enable social interactions that create or improve consumer attachments with them. Originality/value The study presents how a media brand imbricated in the American culture has been the target of attachment by Brazilian fans through social media interactions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudarshan S. Sonawane ◽  
Satish R. Kolhe

PurposeThe purpose of this paper is to handle the anaphors through anaphora resolution in aspect-oriented sentiment analysis. Sentiment analysis is one of the predictive analytics of social media. In particular, the social media platform Twitter is an open platform to post the opinion by subscribers on contextual issues, events, products, individuals and organizations.Design/methodology/approachThe sentiment polarity assessment is not deterministic to conclude the opinion of the target audience unless the polarity is assessed under diversified aspects. Hence, the aspect-oriented sentiment polarity assessment is a crucial objective of the opinion assessment over social media. However, the aspect-oriented sentiment polarity assessment often influences by the curse of anaphora resolution.FindingsFocusing on these limitations, a scale to estimate the aspects oriented sentiment polarity under anaphors influence has been portrayed in this article. To assess the aspect-based sentiment polarity of the tweets, the anaphors of the tweets have been considered to assess the weightage of the tweets toward the sentiment polarity.Originality/valueThe experimental study presents the performance of the proposed model by comparing it with the contemporary models, which are estimating the sentiment polarity tweets under anaphors impact.


2018 ◽  
Vol 12 (3) ◽  
pp. 370-395 ◽  
Author(s):  
Stephanie Jacobsen

Purpose This paper aims to develop a link between word-of-mouth and attribution of credit or blame following a purchase. Attribution is important because it can affect repurchase behavior, loyalty and word-of-mouth; therefore, understanding who receives credit or blame for a purchase outcome following a product recommendation is critical. Design/methodology/approach Through three studies, how recommendation context affects attribution of credit or blame to consumers, reviewers and retailers is experimentally examined. These studies test the thesis that context factors that are independent of the product recommendation can affect how consumers assign responsibility for the product’s performance. Findings Results demonstrate that while consumers trust online reviews, the addition of reviewer incentives diminish that trust, especially when a consumer identifies with the retailer. Findings show support for retailers using online reviews and provide evidence for using caution when incentivizing reviewers. Research limitations/implications This study makes a theoretical connection between word-of-mouth (reviews) and attribution. As this connection is not seen often in the literature, future research should look at the role the recommender plays in the purchasing process. This study forced participants to attribute a purchase success/failure to certain parties to find a baseline with which to begin. Future studies should look at this process as more spontaneous. It may not always occur or possibly only occur for certain types of purchases or experiences. Practical implications Retailers should be continuing to use online reviews as they provide protection from blame and an increase in credit for successful outcomes. This study also provides evidence that incorporating social media into online reviews as many sites have been doing may actually backfire. While it might be more helpful to the consumer, it can increase blame to the retailer. Reviewers are receiving incentives more frequently, and this study finds that loyal consumers should not be shown incentivized reviews as it heightens blame after a negative outcome. Social implications While attribution has been found to be an important part of the purchasing process, it has not been looked at in relationship to word-of-mouth/electronic word-of-mouth (offline/online reviews). Knowing that who recommends a product to us impacts post-purchase behavior is important, as online reviews are utilized more frequently. Many social media strategies have been implemented without information as to how the retailer themselves will be impacted. This study provides evidence of how to better utilize online reviews. Originality/value Though online reviews have been studied widely, less is known about how reviews and product recommendations affect attribution of credit or blame for a post-purchase outcome. The theoretical link between word-of-mouth and product outcome attribution provided here will help guide future research in this area.


2020 ◽  
Vol 12 (3/4) ◽  
pp. 237-250
Author(s):  
Ree Chan Ho ◽  
Madusha Sandamali Withanage ◽  
Kok Wei Khong

PurposeWith the growth of social media and online communications, consumers are becoming more informed about hotels' services than ever before. They are writing online review to share their experiences, as well as reading online review before making a hotel reservation. Hotel customers considered it as reliable source and it influences customers' hotel selection. Most of these reviews reside in unstructured format, scattered across in the Internet and inherently unorganized. The purpose of this study was to use predictive text analytics to identify sentiment drivers from unstructured online reviews.Design/methodology/approachThe research used sentiment classifications to analyze customers' reviews on hotels from TripAdvisor. In total, 9,286 written reviews by hotel customers were scrapped from 442 hotels in Malaysia. A detailed text analytic was conducted and was followed by a development of a theoretical framework based on the hybrid approach. AMOS was used to analyze the relationship between customer sentiments and overall review rating.FindingsWith the use of Structural Equation Modeling (SEM) and clustering technique, a list of sentiment drivers was detected, i.e. location, room, service, sleep, value for money and cleanliness. Among these variables, service quality and room facilities emerged as the most influential factors. Sentiment drivers obtained in this study provided the insights to hotel operators to improve the hotel conditions.Research limitations/implicationsAlthough this study extended the existing literature on sentiment analysis by providing valuable insights to hoteliers, it is not without its limitations. For instance, online hotel reviews collected for this study were limited to one specific online review platform. Despite the large sample size to support and justify the findings, the generalizability power was restricted. Thus, future research should also consider and expand to other type of online review channels. Therefore, a need to examine these data reside various social media applications, i.e. Facebook, Instagram and YouTube.Practical implicationsThis study highlights the significance of hybrid predictive model in analyzing the unstructured hotel reviews. Based on the hybrid predictive model we developed, six sentiment drivers emerged from the data analysis, i.e. location, service quality, value for money, sleep quality, room design and cleanliness. This consideration is critical due to the ever-increasing unstructured data resides in the online space. This explores the possibility of applying data analytic technique in a more efficient manner to obtain customer insights for hotel managerial consideration.Originality/valueThis study analyzed customer sentiments toward the hotel in Malaysia with the use of predictive text analytics technique. The main contribution was the list of sentiment drivers and the insights needed to improve the hotel conditions in Malaysia. In addition, the findings demonstrated motivating findings from different methodological perspective and provided hoteliers with the recommendation for improved review ratings.


2019 ◽  
Vol 23 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Carolina Stubb ◽  
Anna-Greta Nyström ◽  
Jonas Colliander

PurposeThe purpose of this paper is to investigate the effects of a particular form of sponsorship disclaimer in sponsored content by social media influencers (SMIs), namely a sponsorship compensation justification disclosure. A sponsorship compensation justification disclosure explains why influencers and brands engage in sponsorship collaborations by providing a normative reason that justifies the existence and dissemination of sponsored content.Design/methodology/approachAn experimental design was used to compare the effects of a sponsorship compensation justification disclosure made by either an influencer or the sponsoring brand, to a simple sponsorship disclosure and a no disclosure control post, on consumers’ responses to a product-review video by a YouTube influencer.FindingsThe paper offers empirical evidence that sponsorship compensation justification generates more positive consumer attitudes toward influencers receiving sponsorship compensation, and increases source and message credibility, compared to a simple sponsorship disclosure.Research limitations/implicationsThe hypotheses were tested on one YouTube video, comprising of a single product category, one SMI and one social media platform. Further studies might replicate the experiment on different product categories and on different social media platforms.Practical implicationsThis empirical study can offer brand communication managers and influencers important information on how to communicate and design sponsorship disclosures to reach-desired responses from consumers.Originality/valueThe study is the first study to empirically demonstrate the effects of this particular type of sponsorship disclosure.


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