An exploratory study of online review management in hospitality services

2018 ◽  
Vol 28 (1) ◽  
pp. 79-98 ◽  
Author(s):  
Run Hong Niu ◽  
Ying Fan
Keyword(s):  
Management System ◽  
Management Practices ◽  
Measurement Model ◽  
Online Reviews ◽  
Online Review ◽  
Theory Approach ◽  
Content Type ◽  
Integrative Framework ◽  
Review Management ◽  
Key Dimensions

Purpose More and more customers refer to online reviews before making any purchasing decisions thanks to the increasing popularity of social media and online shopping. This phenomenon has caught the attention of business managers who are increasingly aware that online reviews provide great opportunities to connect with current and potential customers. However, both practices and research on online review management from the businesses’ perspective are fragmented. The purpose of this paper is to develop an integrative framework that includes the key dimensions of an online review management system. Design/methodology/approach Based on the Grounded Theory approach, the authors conducted a multiple case study by analyzing the interviews with 11 hospitality services. Findings The authors found that an online review management system should go beyond the current norm of response management to incorporate key dimensions of formality, centralization, specialization, response customization, integration and review analytics. Practical implications The study provides a systematic guideline for online review management practices. The framework can be used as a tool for a business to evaluate existing online review management practices and develop/refine its online review management system. Originality/value The study contributes to online review management literature by developing a comprehensive framework to understand the structure and processes of online review management. The key dimensions of an online review management system identified in this study provide an initial measurement model for the online review management construct. Furthermore, the study provides a springboard for future empirical validation and refinement of the key factors for effective online review management.

The influence of online reviews to online hotel booking intentions

2015 ◽  
Vol 27 (6) ◽  
pp. 1343-1364 ◽  
Author(s):  
Xinyuan (Roy) Zhao ◽  
Liang Wang ◽  
Xiao Guo ◽  
Rob Law
Keyword(s):  
Regression Analysis ◽  
Mainland China ◽  
Online Reviews ◽  
Online Review ◽  
Content Type ◽  
Theoretical Contribution ◽  
Review Management ◽  
Marketing Tool ◽  
Booking Intentions ◽  
Hotel Booking

Purpose – This study aims to investigate the impacts of online review and source features upon travelers’ online hotel booking intentions. Design/methodology/approach – This study developed a research model and empirically examined the model by collecting data from business travelers in the Mainland China. Factor analysis was adopted to identify features of online reviews content and source attribute. Regression analysis was used to examine impacts of these attributes upon travelers’ online booking intention. Findings – Six features of online reviews content and one source attribute were identified, namely, usefulness, reviewer expertise, timeliness, volume, valence (negative and positive) and comprehensiveness. Regression analysis results testified positive causal relationships between usefulness, reviewer expertise, timeliness, volume and comprehensiveness and respondents’ online booking intentions. A significantly negative relation between negative online reviews and online booking intentions was identified, whereas impacts from positive online reviews upon booking intentions were not statistically significant. Research limitations/implications – The major limitation of this study is that interrelationships among features of online reviews, which were discussed in other similar studies, were not considered. Still, this study benefited researchers from scrutinizing features of online reviews, rather than several of them. As such, it offered more comprehensive suggestions for practitioners in how to better utilize online reviews as a marketing tool. Practical implications – Hospitality practitioners could enhance consumer review management by applying the six underlying factors of online review in the present study to find out the ways of increasing consumers’ booking intentions in the specific hotel contexts. Originality/value – A major theoretical contribution of this paper is its comprehensiveness in examining features of review content as well as its source simultaneously. This study also offered areas worthy of more research efforts from perspectives of practitioners and researchers.

Investigating the influence of regulatory focus on the efficacy of online review volume versus valence

2020 ◽  
Vol 55 (1) ◽  
pp. 297-314
Author(s):  
Elika Kordrostami ◽  
Yuping Liu-Thompkins ◽  
Vahid Rahmani
Keyword(s):  
Regulatory Focus ◽  
Product Category ◽  
Online Reviews ◽  
Online Review ◽  
Target Market ◽  
Prevention Focus ◽  
Promotion Focus ◽  
Content Type ◽  
Review Management ◽  
Volume Effects

Purpose Valence and volume of online reviews are generally considered to influence sales positively. However, existing findings regarding the relative influence of these two components have been inconclusive. This paper aims to explain some of these inconsistencies by examining the moderating role of regulatory focus (both as a chronic disposition and as a situational focus induced by the product category) in the relationship between online review volume/valence and consumers purchase decisions. Design/methodology/approach Two studies were conducted. Study 1 used a 2 (Volume: high/ low) * 3 (Valence: high/medium/low) within-subject experimental design. Study 2 analyzed real-world data from Amazon.com. Logistic and panel regression analyses were used to test the research hypotheses. Findings The studies confirmed the hypothesized effect of regulatory focus on online review valence and volume effects. Specifically, Study 1 showed that online review valence was more impactful for consumers with a promotion focus than for consumers with a prevention focus. The opposite was true for online review volume effects, where consumers with a prevention focus were influenced more by volume in their decision-making compared to consumers with a promotion focus. Study 2 showed that the pattern of results we found in Study 1 also applied to situational regulatory focus induced by the product category. The effect of review volume on sales rank was stronger for prevention-oriented products, whereas the effect of valence was stronger for promotion-oriented products. Research limitations/implications In Study 1, one product category was involved in the study (Digital camera). Involving more different product categories will add reliability to the results of current research. Also, it can offer external validity to current research results. In Study 2, there was no exact measurement for sales, as Amazon.com does not share that kind of information. Instead, Sales Rank was used as a proxy variable. Future research could look into the websites that offer access to the exact sales information. Practical implications The current research findings suggest the need for companies to adapt their consumer review management strategy to the regulatory orientation of their target market and products. When a promotion-focused mindset is targeted, strategies for increasing the favorability of product reviews should be used, in contrast, tactics for increasing the quantity of reviews may be more suitable when a prevention-focused mindset is involved. Originality/value To the best of the authors' knowledge, this research is the first to investigate the interaction between regulatory focus of consumers and products and online review components.

Partisanship and organisational change in Mauritius

2018 ◽  
Vol 31 (3) ◽  
pp. 656-675
Author(s):  
Sanjiv Gungadeen ◽  
Megan Paull ◽  
David Holloway
Keyword(s):  
Change Process ◽  
Management Practices ◽  
Resistance To Change ◽  
Evolutionary Process ◽  
Organisational Change ◽  
Small Island ◽  
Theory Approach ◽  
Content Type ◽  
Extant Literature ◽  
Key Dimensions

Purpose The purpose of this paper is to report on a study of change management practices in private sector organisations in the small island economy of Mauritius. Design/methodology/approach Interviews were conducted with key decision makers and individuals who had experienced the organisational change process in three private organisations from different sectors in Mauritius: a bank, a hotel and a privatised state-owned enterprise. A grounded theory approach was employed to establish the key dimensions of organisational change in this setting. Findings Organisational change is a multi-dimensional, multi-directional and evolutionary process strongly influenced by the contextual and historical aspects of the country. The emerging key elements of change identified in the data confirmed a range of dimensions evident in the extant literature, but also identified a largely unacknowledged factor, considered to be central to the change process in Mauritian organisations. This emerging factor was identified as partisanship. Originality/value This study served to confirm six dimensions evident in the extant literature on organisational change: organisational structure, organisational culture, leadership processes, individuals, knowledge management and resistance to change. A seventh dimension, and heretofore largely unacknowledged factor, considered to be central to the change process in Mauritian organisations was also identified: partisanship. The study identified this emerging key dimension as having a pervasive influence. History, culture and context have served to embed this dimension in Mauritian organisations. Evidence is presented to illustrate how the process of organisational change is undertaken in Mauritius, and identify the role of partisanship. This has the potential to be applied to other small island economies with similar historical, cultural or contextual features.

Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Management Practices ◽  
Human Factor ◽  
Research Work ◽  
Data Driven ◽  
Theory Approach ◽  
Quality Performance ◽  
Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

Empowering leadership and knowledge management: the mediating role of followers' technology use

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zafer Türkmendağ ◽  
Muharrem Tuna
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Management Practices ◽  
Mediating Effect ◽  
Hotel Management ◽  
Empowering Leadership ◽  
Content Type ◽  
Use Of Technology ◽  
Knowledge Management Practices

PurposeThe purpose of this paper is to investigate the role of empowering leadership in intraorganizational knowledge management practices and to reveal how followers' acceptance and use of the hotel management system affect this role.Design/methodology/approachA serial multiple mediation model was evaluated and tested using partial least squares structural equation modeling (PLS-SEM). The database was created from the results of a structured questionnaire obtained from 401 employees working in hotels in Turkey.FindingsThe findings of the study reveal that empowering leadership has a significant effect on followers' knowledge creation, sharing and application. It was also found that the acceptance and use of the hotel management system were partially complementary to the impact of empowering leadership on followers' knowledge management practices.Practical implicationsThis paper gives an insight into the empowering leader's role in gathering useful knowledge, which is self-managed within the organization, by encouraging, motivating, providing autonomous and supportive conditions and making it beneficial and easier for their followers to adapt to the organization's technologies.Originality/valueThe efficient management of knowledge in organizations through the use of technology is possible by distributing power to subordinates through expanding the theory of knowledge management, leadership and the acceptance and use of technology. Furthermore, this study contributes to the literature by establishing the theoretical foundation of the relationship between empowering leadership and knowledge management practices based on Dalkir's knowledge management model and by discussing the mediating effect of the core variables of the UTAUT model.

scholarly journals Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Isabel Lopes ◽  
Nathalie Dens ◽  
Patrick De Pelsmacker ◽  
Freya De Keyzer
Keyword(s):  
Conjoint Analysis ◽  
Product Category ◽  
Online Reviews ◽  
Perceived Usefulness ◽  
Online Review ◽  
Large Set ◽  
Relative Importance ◽  
Writing Quality ◽  
Content Type ◽  
Argument Strength

PurposeThis study aims to assess the relative importance of the argument strength, argument sidedness, writing quality, number of arguments, rated review usefulness, summary review rating and number of reviews in determining the perceived usefulness and credibility of an online review. Additionally, the authors use insights from the elaboration likelihood model (ELM) to explore the effect of consumers' product category involvement on the cues' relative importance.Design/methodology/approachA conjoint analysis (N = 287) is used to study the relative importance of the seven previously mentioned attributes. A balanced orthogonal design generated eight cards that correspond to individual reviews. Respondents scored all eight cards in a random order for perceived usefulness and credibility.FindingsOverall, argument strength is the most important cue, while summary review rating and the number of reviews are the least important for perceived review usefulness and credibility. The number of arguments is more important for people who are more highly involved with the product, while writing quality and rated review usefulness are relatively more important for the low-involvement group.Originality/valueThis study provides a comprehensive test of how consumers perceive online reviews, as it the first to the authors’ knowledge to simultaneously investigate a large set of cues using conjoint analysis. This method allows for the implicit valuation (utility) of the individual cues, revealing the cues' relative importance, in a setting that comes close to a real-life context. Besides, insights of the ELM are used to understand how the relative importance of cues differs depending on the level of review readers' product category involvement.

FLORA: a hierarchical fuzzy system for online accommodation review analysis

2019 ◽  
Vol 21 (3) ◽  
pp. 347-367
Author(s):  
Thara Angskun ◽  
Jitimon Angskun
Keyword(s):  
Sentiment Analysis ◽  
Semantic Analysis ◽  
Online Reviews ◽  
Online Review ◽  
Probability Weighting ◽  
Content Type ◽  
Analysis Process ◽  
Review Analysis ◽  
Accuracy Comparison ◽  
Hierarchical Fuzzy System

Purpose This paper aims to introduce a hierarchical fuzzy system for an online review analysis named FLORA. FLORA enables tourists to decide their destination without reading numerous reviews from experienced tourists. It summarizes reviews and visualizes them through a hierarchical structure. The visualization does not only present overall quality of an accommodation, but it also presents the condition of the bed, hospitality of the front desk receptionist and much more in a snap. Design/methodology/approach FLORA is a complete system which acquires online reviews, analyzes sentiments, computes feature scores and summarizes results in a hierarchical view. FLORA is designed to use an overall score, rated by real tourists as a baseline for accuracy comparison. The accuracy of FLORA has achieved by a novel sentiment analysis process (as part of a knowledge acquisition engine) based on semantic analysis and a novel rating technique, called hierarchical fuzzy calculation, in the knowledge inference engine. Findings The performance comparison of FLORA against related work has been assessed in two aspects. The first aspect focuses on review analysis with binary format representation. The results reveal that the hierarchical fuzzy method, with probability weighting of FLORA, is achieved with the highest values in precision, recall and F-measure. The second aspect looks at review analysis with a five-point rating scale rating by comparing with one of the most advanced research methods, called fuzzy domain ontology. The results reveal that the hierarchical fuzzy method, with probability weighting of FLORA, returns the closest results to the tourist-defined rating. Research limitations/implications This research advances knowledge of online review analysis by contributing a novel sentiment analysis process and a novel rating technique. The FLORA system has two limitations. First, the reviews are based on individual expression, which is an arbitrary distinction and not always grammatically correct. Consequently, some opinions may not be extracted because the context free grammar rules are insufficient. Second, natural languages evolve and diversify all the time. Many emerging words or phrases, including idioms, proverbs and slang, are often used in online reviews. Thus, those words or phrases need to be manually updated in the knowledge base. Practical implications This research contributes to the tourism business and assists travelers by introducing comprehensive and easy to understand information about each accommodation to travelers. Although the FLORA system was originally designed and tested with accommodation reviews, it can also be used with reviews of any products or services by updating data in the knowledge base. Thus, businesses, which have online reviews for their products or services, can benefit from the FLORA system. Originality/value This research proposes a FLORA system which analyzes sentiments from online reviews, computes feature scores and summarizes results in a hierarchical view. Moreover, this work is able to use the overall score, rated by real tourists, as a baseline for accuracy comparison. The main theoretical implication is a novel sentiment analysis process based on semantic analysis and a novel rating technique called hierarchical fuzzy calculation.

Reviews’ length and sentiment as correlates of online reviews’ ratings

2018 ◽  
Vol 28 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Maryam Ghasemaghaei ◽  
Seyed Pouyan Eslami ◽  
Ken Deal ◽  
Khaled Hassanein
Keyword(s):  
Sentiment Analysis ◽  
Online Reviews ◽  
Marketing Strategies ◽  
Insurance Companies ◽  
Online Review ◽  
Data Set ◽  
Content Type ◽  
Customer Reviews ◽  
Service Companies ◽  
Consumer Review

Purpose The purpose of this paper is twofold: first, to identify and validate reviews’ length and sentiment as correlates of online reviews’ ratings; and second, to understand the emotions embedded in online reviews and how they associate with specific words used in such reviews. Design/methodology/approach A panel data set of customer reviews was collected for auto, life, and home insurance from January 2012 to December 2015 using a web scraping technique. Using a sentiment analysis approach, 1,584 reviews for the auto, home, and life insurance services of 156 insurance companies were analyzed. Findings The results indicate that, since 2013, consumers have generally had more negative emotions than positive ones toward insurance services. The results also show that consumer review sentiment correlates positively and review length correlates negatively with consumer online review ratings. Furthermore, a two-way ANOVA analysis shows that, in general, short reviews with positive sentiment are associated with high review ratings. Practical implications The findings of this study provide service companies, in general, and insurance companies, in particular, with important guidelines that should be considered to increase consumers’ positive attitude toward their services. Originality/value This paper highlights the importance of sentiment analysis in identifying consumer reviews’ emotions and understanding the associations and interactions of reviews’ length and sentiment on online review rating, which can lead to improved marketing strategies.

scholarly journals A centralised cost management system: exploiting EVM and ABC within IPD

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faris Elghaish ◽  
Sepehr Abrishami
Keyword(s):  
Management System ◽  
Risk Sharing ◽  
Management Practices ◽  
Cost Management ◽  
Web Based ◽  
Content Type ◽  
Team Members ◽  
Cost Management System ◽  
The Cost

PurposeIntegrated project delivery (IPD) is highly recommended to be utilised with building information management (BIM), specifically with BIM level-3 implementation process. Extant literature highlights the financial management challenges facing the proposed integration. These challenges are mainly related to the IPD compensation and the conventional cost control approaches that are not consistent with IPD principles. As such, this paper presents an integration of several methods to support automating risk/reward sharing amongst project parties thus enhancing IPD core team members’ relationship.Design/methodology/approachThe literature review was used to highlight the challenges that face the IPD-based cost management practices such as the risk sharing/reward sharing amongst IPD core team members and potential methods to bridge the revealed IPD gap. A framework was developed by integrating the activity-based costing (ABC) – as a method to analyse the cost structure – and earned value management (EVM) to develop mathematical models that can determine the three main IPD financial transactions (i.e. …) fairly. To demonstrate the applicability of the developed system, a real-life case study was used, in which, promising results were collected in regard to visualising the cost control data and understanding of the accumulative status of the project cost and schedule for team members.FindingsA centralised cost management system (CCMS) for IPD is developed to enable the IPD cost structure as well as automating the risk-sharing/reward-sharing calculations. This system is linked with a web-based management system to display the output of proposed risk-sharing/reward-sharing models. Moreover, a novel grid is developed to show the project status graphically and to respect the diversity in core team members backgrounds. In addition, the case study showed that the proposed integration of different methods (ABC, EVM, BIM and web-based management system) is interoperable and applicable.Originality/valueThis research presents a comprehensive solution to the most revealed challenges in cost management practices in IPD implementation. The outcome of this research contributes to the body of knowledge through presenting new extensions of the EVM to be used with the IPD approach to calculate risk/reward. Moreover, the implementation of the proposed tools such as centralised cost management system (CCMS) and CCMS for IPD web system will enhance/foster the implementation of the IPD in conjunction with BIM process.

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.

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