Hotels’ online reputation management: benefits perceived by managers

2019 ◽  
Vol 31 (2) ◽  
pp. 615-632 ◽  
Author(s):  
Javier Perez-Aranda ◽  
María Vallespín ◽  
Sebastian Molinillo
Keyword(s):  
Measurement Model ◽  
Online Reviews ◽  
Customer Relationship ◽  
Reputation Management ◽  
Content Type ◽  
Order Construct ◽  
Using Data ◽  
Hotel Managers ◽  
Relationship Benefits ◽  
The Impact

PurposeThis study aims to develop a measurement model to help hotels manage their reputation within the context of online reviews and ratings platforms and evaluate the impact of this reputation management on the benefits derived by the hotels, as perceived by their managers.Design/methodology/approachPartial least squares was used to assess the model and make a causal predictive analysis, using data from a survey of a random sample of 335 Spanish hotel managers and personnel involved in reputation management.FindingsThis study shows the operationalization of hotel reputation management as a superordinate second-order construct affecting six individual first-order dimensions, strongly impacting on three key benefits as perceived by hotel managers (i.e. financial benefits, customer relationship benefits and customer-based brand benefits), within the context of online review platforms.Practical implicationsBased on the results of this study, hotel managers can improve the effectiveness of their management of ratings and reviews. They can also learn which aspects they should focus on when managing ratings and reviews.Originality/valueBased on the opinions of hotel managers, a causal model for managing online reviews was developed and validated. This study shows how reputation management affects the benefits derived by hotels as perceived by their managers.

Tit for tat: understanding the responding behavior of property hosts on peer-to-peer rental platforms

2021 ◽  
Vol 33 (3) ◽  
pp. 1105-1126
Author(s):  
Sai Liang ◽  
Xiaoxia Zhang ◽  
Chunxiao Li ◽  
Hui Li ◽  
Xiaoyu Yu
Keyword(s):  
Service Providers ◽  
Online Reviews ◽  
Peer To Peer ◽  
Theoretical Development ◽  
Effective Response ◽  
Content Type ◽  
Starting Point ◽  
Tit For Tat ◽  
Hotel Managers ◽  
The Impact

Purpose Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms. Design/methodology/approach This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts. Findings Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery. Research limitations/implications This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners. Originality/value This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

Reputation management in cyberspace: evidence from Jordan’s luxury hotel market

2019 ◽  
Vol 10 (1) ◽  
pp. 107-120 ◽  
Author(s):  
Zaid Alrawadieh ◽  
Mithat Zeki Dincer
Keyword(s):  
Response Rate ◽  
Online Reviews ◽  
Reputation Management ◽  
Future Research ◽  
Content Type ◽  
Luxury Hotels ◽  
Hotel Managers ◽  
Online Reputation ◽  
Luxury Hotel ◽  
Managerial Response

PurposeDrawing on a sample of 520 negative reviews posted on TripAdvisor against all five-star hotels operating in Petra, Jordan, the purpose of this paper is to evaluate the response of luxury hotels to negative online reviews by considering the Response Rate (RR), the Response Time (RT) and the Response Content (RC).Design/methodology/approachA deductive content analysis was used on hotels’ managerial responses. Based on the literature review, a four-construct scheme was identified to guide the analysis including Appreciation; Apology; Explanation; and Incentive. The managerial responses were carefully read and manually coded based on the four-construct scheme. The time between the review posting date and the date of the managerial response was also recorded. Luxury hotel managers were also surveyed to obtain insights into their perceptions and practices with respect to online reputation management.FindingsThe findings call into question luxury hotels’ awareness of the harmful impact of negative online reviews. Specifically, the findings suggest that less than half of the negative reviews received a managerial response, and that more than half of these were standardized and did not refer to the issues raised in the reviews. The low response rate coupled with the hotel managers’ consensus on the importance of answering all online reviews indicates inconsistency between hotel managers’ perceptions and practices with regard to online reputation management.Originality/valueThe paper adds to the ongoing debate on reputation management in the hospitality industry by considering the managerial response to negative online reviews. The paper discusses several managerial implications for hotel managers as well as avenues for future research.

The neighborhood effect of online reviews

2019 ◽  
Vol 2 (3) ◽  
pp. 262-283
Author(s):  
Dong Liang ◽  
Xia Wang
Keyword(s):  
Design Methodology ◽  
Negative Impact ◽  
Online Reviews ◽  
Neighborhood Effect ◽  
Moderating Effects ◽  
Content Type ◽  
Negative Effect ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Purpose Online reviews have been indicated to play an important role in consumers’ decision-making process, as supported by numerous studies. However, none of them has considered the neighborhood effect of online reviews. The purpose of this paper is to analyze the impact of neighbor store’s reviews on central store’s, along with the moderating effects of store density and product similarity. Design/methodology/approach Using data from dianping.com, this study conducts economic analysis accounting for endogeneity. Findings The results show that the neighbor store’s reviews exert a negative impact on that of central stores. Nevertheless, the relationship is moderated by store density and product similarity, such that the negative effect is stronger if there are a lot of stores around the central store, or if the neighbor store and central store provide similar products. Originality/value This study is the first to investigate the neighborhood effect of online reviews.

A predictive analytics of physicians prescription and pharmacies sales correlation using data mining

2019 ◽  
Vol 13 (3) ◽  
pp. 346-363
Author(s):  
Babak Sohrabi ◽  
Iman Raeesi Vanani ◽  
Nastaran Nikaein ◽  
Saeideh Kakavand
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Pharmaceutical Industry ◽  
Predictive Analytics ◽  
Customer Relationship ◽  
Sales Managers ◽  
Content Type ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Purpose In the pharmaceutical industry, marketing and sales managers often deal with massive amounts of marketing and sales data. One of their biggest concerns is to recognize the impact of actions taken on sold-out products. Data mining discovers and extracts useful patterns from such large data sets to find hidden and worthy patterns for the decision-making. This paper, too, aims to demonstrate the ability of data-mining process in improving the decision-making quality in the pharmaceutical industry. Design/methodology/approach This research is descriptive in terms of the method applied, as well as the investigation of the existing situation and the use of real data and their description. In fact, the study is quantitative and descriptive, from the point of view of its data type and method. This research is also applicable in terms of purpose. The target population of this research is the data of a pharmaceutical company in Iran. Here, the cross-industry standard process for data mining methodology was used for data mining and data modeling. Findings With the help of different data-mining techniques, the authors could examine the effect of the visit of doctors overlooking the pharmacies and the target was set for medical representatives on the pharmaceutical sales. For that matter, the authors used two types of classification rules: decision tree and neural network. After the modeling of algorithms, it was determined that the two aforementioned rules can perform the classification with high precision. The results of the tree ID3 were analyzed to identify the variables and path of this relationship. Originality/value To the best of the authors’ knowledge, this is one of the first studies to provide the real-world direct empirical evidence of “Analytics of Physicians Prescription and Pharmacies Sales Correlation Using Data Mining.” The results showed that the most influential variables of “the relationship between doctors and their visits to pharmacies,” “the length of customer relationship” and “the relationship between the sale of pharmacies and the target set for medical representatives” were “deviation from the implementation plan.” Therefore, marketing and sales managers must pay special attention to these factors while planning and targeting for representatives. The authors could focus only on a small part of this study.

Hotel’s online reviews and ratings: a cross-cultural approach

2019 ◽  
Vol 31 (5) ◽  
pp. 2054-2073 ◽  
Author(s):  
Ramona Diana Leon
Keyword(s):  
Power Distance ◽  
Online Reviews ◽  
Uncertainty Avoidance ◽  
Hospitality Management ◽  
Web Based ◽  
Content Type ◽  
Cultural Specificity ◽  
Hotel Managers ◽  
The Impact

Purpose This paper aims to examine the impact of cultural specificity on hotel’s online reviews and ratings. Design/methodology/approach Using Hofstede’s scale of cultural differences, it analyzes 1,821 comments about the Catalonia Sagrada Familia Hotel across 77 countries. Logistic regression is used for data analysis. Findings It is found that detailed reviews tend to be provided by the guests who belong to a low-power distance culture, are collectivistic, are masculine, have a low uncertainty avoidance, are long-term orientated or are indulgent. On the other hand, the customers who tend to deviate from the prior average ratings come from high-power distance societies, are individualists, are feminists, belong to a high uncertainty avoidance culture, are long-term oriented or are indulgent. Originality/value These findings extend the hospitality management literature and potentially help the hotel managers to better understand their customers’ behavior in a web-based environment.

Factors contributing to the helpfulness of online hotel reviews

2016 ◽  
Vol 28 (10) ◽  
pp. 2156-2177 ◽  
Author(s):  
Linchi Kwok ◽  
Karen L. Xie
Keyword(s):  
Big Data ◽  
Large Data ◽  
Online Reviews ◽  
Opinion Leaders ◽  
Data Set ◽  
Consumer Reviews ◽  
Content Type ◽  
Hotel Managers ◽  
Hospitality Managers ◽  
The Impact

Purpose This paper aims to examine the factors contributing to the helpfulness of online hotel reviews and to measure the impact of manager response on the helpfulness of online hotel reviews. Design/methodology/approach This investigation used a linear regression model that drew upon 56,284 consumer reviews and 10,797 manager responses from 1,405 hotels on TripAdvisor.com for analysis. Findings The helpfulness of online hotel reviews is negatively affected by rating and number of sentences in a review, but positively affected by manager response and reviewer experience in terms of reviewer status, years of membership, and number of cities visited. Manager response moderates the influence of reviewer experience on the helpfulness of online hotel reviews. Research limitations/implications Using the data from hotels in five major cities in Texas, the results may not be necessarily generalized to other markets, but the important role that manager response plays in online reviews is assessed with big data analysis. Practical implications The results suggest hospitality managers should strategically identify opinion leaders among reviewers and proactively influence the helpfulness of the reviews by providing manager response. Additionally, this study makes recommendations to webmasters of social media platforms in terms of advancing the algorithm of featuring the most helpful online reviews. Originality/value This study is at the frontier of research to explain how hotel managers can proactively identify opinion leaders among consumers and use manager response to influence the helpfulness of consumer reviews. Additionally, the results also provide new insights to the influence of reviewer demographic background on the helpfulness of online reviews. Finally, this study analyzed a large data set on a scale that was not available in traditional guest survey studies, responding to the call for big data applications in the hospitality industry.

The effect of emotions, eWOM quality and online review sequence on consumer intention to follow advice obtained from digital services

2020 ◽  
Vol 31 (3) ◽  
pp. 465-487 ◽  
Author(s):  
Carla Ruiz-Mafe ◽  
Enrique Bigné-Alcañiz ◽  
Rafael Currás-Pérez
Keyword(s):  
Structural Model ◽  
Online Reviews ◽  
Moderating Effect ◽  
Online Information ◽  
Bias Effect ◽  
Content Type ◽  
Digital Services ◽  
Information Cues ◽  
Cognitive Information ◽  
The Impact

PurposeThis paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of review valence.Design/methodology/approachThe data were collected from 830 Spanish Tripadvisor users. In a two-step approach, a measurement model was estimated and a structural model analysed to test the proposed hypotheses. SmartPLS 3.0 software was used. The moderating effect of sequencing of reviews is tested.FindingsThe data analysis showed a bias effect of review sequence on the impact of online information cues and emotions on intention to follow advice obtained from Tripadvisor. When the online reviews of a restaurant begin with positive commentaries, their perceived persuasiveness is a stronger driver of the pleasure and arousal elicited by online reviews than when they begin with negative reviews. On the other hand, the perceived helpfulness of online reviews only triggers arousal when the user reads negative, followed by positive, comments. The impact of pleasure on intention to follow the advice provided in an online travel community is higher with positive-negative than with negative-positive sequences.Originality/valueWhile researchers have demonstrated the benefits of customer reviews on company sales, a largely uninvestigated issue is the interplay between emotions and cognitive information cues in the processing of online reviews. This is one of the first studies to examine the moderating effect of conflicting reviews on the impact of emotions and cognitive information cues on consumer intention to follow the advice obtained from digital services.

Evolution of top management’s understanding of product quality in Eastern Europe since the end of communism

2017 ◽  
Vol 29 (1) ◽  
pp. 82-100
Author(s):  
Svetoslav Georgiev ◽  
Emil Georgiev
Keyword(s):  
Eastern Europe ◽  
Product Quality ◽  
Quantitative Research ◽  
Business Performance ◽  
Research Approach ◽  
Senior Managers ◽  
Content Type ◽  
Doing Business ◽  
Using Data ◽  
The Impact

Purpose The purpose of this paper is to analyse the evolution of top management’s understanding of product quality in Bulgaria since the end of communism. The study examines three specific areas: top management’s understanding of the term “quality”; top management’s understanding of the relationship between quality and business performance; and top management’s understanding of the impact of job position on quality. Design/methodology/approach The paper relies on a quantitative research approach by using data from a survey of 186 companies in Bulgaria. Findings The paper suggests that senior managers in Bulgaria continue to base their understanding of “quality” on a single approach (*a characteristic of the communist era), with the product-based and the user-based approaches currently being the two most common ones. At the same time, surprisingly enough, this study claims that senior management in Bulgaria is currently well aware of the importance of quality as a dimension of firm’s competitiveness, and is also highly conscious of its roles’ impact on product quality. Research limitations/implications The results of this study are exclusively based on the case of Bulgaria and must be treated with caution in the case of other former communist states from the Central and Eastern Europe (CEE) region. Practical implications This paper has relevance for both managers and companies doing business in Eastern Europe. Originality/value This is the first paper to provide detailed analysis of the evolution of the understanding of “product quality” in CEE since the end of communism. Moreover, this paper applies, for the first time, Garvin’s five approaches to defining quality within a practical context.

The role of key online reviews in affecting online hotel booking: an empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Zhang ◽  
Pengkun Wu ◽  
Chong Wu
Keyword(s):  
Binary Logistic Regression ◽  
Online Reviews ◽  
Limited Attention ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Antecedents And Consequences ◽  
Hotel Managers ◽  
Hotel Booking

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

Are atheist consumers less ethical? Investigating the role of religiosity and atheism on consumer ethics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Denni Arli ◽  
Tuyet-Mai Nguyen ◽  
Phong Tuan Nham
Keyword(s):  
Consumer Ethics ◽  
Intrinsic Religiosity ◽  
Content Type ◽  
Ethical Behaviors ◽  
Segmentation Analysis ◽  
Study Results ◽  
Unethical Behaviors ◽  
The Usa ◽  
Using Data ◽  
The Impact

Purpose There is a perception that non-religious consumers are less ethical than religious consumers. Studies found prejudices against atheists around the world and assumed that those who committed unethical behavior were more likely to be atheists. Hence, first, the purpose of this study is to investigate the effect of consumers’ intrinsic religiosity, extrinsic religiosity and atheism on consumers’ ethical beliefs. Second, this study attempts to segment consumers and identify differences between these segments. Design/methodology/approach Using data from 235 study participants in the USA and 531 in Vietnam. Subsequently, a two-step cluster approach was used to identify segments within these samples. Findings The study results show consumers’ intrinsic religiosity negatively influences all consumers’ unethical beliefs. Similarly, atheism also negatively influences all consumers’ unethical beliefs. This study also complements other studies exploring consumer ethics in developing countries. In addition, the segmentation analysis produced unique segments. The results from both samples (USA and Vietnam) indicated that non-religious consumers are less likely to accept various unethical behaviors compared to religious consumers. Religious consumers are not necessarily more ethical and atheism consumers are not necessarily less ethical. In the end, are implications for business ethics, religious and non-religious leaders on how to view the impact of beliefs on consumer ethical behaviors. Originality/value This is one of the first few studies investigating the impact of atheism on consumer ethics. The results of this study further extend the knowledge of study in consumer ethics by comparing consumers’ religiosity and atheism.

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