LEVERAGING HOTEL PERFORMANCE BY CONSUMER REVIEWS

LEVERAGING HOTEL PERFORMANCE BY CONSUMER REVIEWS PDF Author: Lijia Xie
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

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Book Description
This study quantifies the business value of consumer reviews and discusses its wider implications to hotel performance, specifically to delineate the unique effects of the User-Generated Content (UGC) components on room sales. In contrast to earlier studies that take consumer reviews as an exogenous factor, this study finds empirical evidence that consumer reviews both influence and are influenced by room sales through a dynamic framework. In consideration of the endogeneity in consumer reviews, this study uses a dynamic generalized method of moments (GMM) model to address the reviews/sales relation and illustrates why other commonly used estimation that ignore the dynamic relationship between current reviews and room sales may be biased. A longitudinal panel-data sample of 56,284 hotel reviews on a daily basis, along with quarterly hotel performance over a ten-quarter observation window, is used for the empirical modeling. This study finds that room sales are significantly influenced by the review volume, suggesting the importance of awareness effect. Specifically, a 1% increase in the average quarterly number of reviews received would result in a 0.10 units increase in the average revenue per available room. Compared to paid or owned traditional marketing channels, the earned consumer reviews' business value can be justified by the marginal costs of producing extra copies of reviews by consumers and providing social media service by hotel managers. Nevertheless, this study shows that the rating of consumer reviews and its variation does not have effect on hotel room sales after accounting for the endogeneity, indicating that online reviews have little persuasion effect on consumer purchase decisions. Thus, this study considers the awareness effect of Word-of-Mouth (WOM) as the primary effect in the dynamic mechanism between consumer reviews and room sales. From the theoretical perspective, this study represents a comprehensive understanding of consumer reviews by integrating both awareness and persuasion effects. By identifying strategically important review components and their effects, the study adds to the prior literature by providing a positive reconciliation of the mixed findings about the effect of consumer reviews. From the managerial perspective, the awareness effect of consumer reviews suggests that businesses should embrace and facilitate WOM activities. However, consumers are not influenced by the persuasion effect of online WOM, thus presenting a challenge to businesses that try to influence sales through "planting" positive product reviews. Hotel managers shall therefore focus more on the mechanisms that facilitate dispersion of underlying word-of- mouth exchange rather than try to influence online ratings. From the methodology perspective, this study contributes to the hospitality literature by providing econometric justifications for the use of dynamic panel data estimation, discussing the conditions under which it improves inference beyond the traditional pooled OLS and traditional fixed- effects estimates. This study shows that dynamic effect is likely to be particularly important in hospitality research since much of our research seeks to determine the effect of different stimulating variables (e.g., consumer reviews, pricing strategy, customer relationship management, etc.) on hotel performance, an aspect of research that is particularly susceptible to biases that may arise by ignoring the effect of historical performance on current stimulating variables. The empirical attempt initiated in this study welcomes replications of future research.

LEVERAGING HOTEL PERFORMANCE BY CONSUMER REVIEWS

LEVERAGING HOTEL PERFORMANCE BY CONSUMER REVIEWS PDF Author: Lijia Xie
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

Get Book Here

Book Description
This study quantifies the business value of consumer reviews and discusses its wider implications to hotel performance, specifically to delineate the unique effects of the User-Generated Content (UGC) components on room sales. In contrast to earlier studies that take consumer reviews as an exogenous factor, this study finds empirical evidence that consumer reviews both influence and are influenced by room sales through a dynamic framework. In consideration of the endogeneity in consumer reviews, this study uses a dynamic generalized method of moments (GMM) model to address the reviews/sales relation and illustrates why other commonly used estimation that ignore the dynamic relationship between current reviews and room sales may be biased. A longitudinal panel-data sample of 56,284 hotel reviews on a daily basis, along with quarterly hotel performance over a ten-quarter observation window, is used for the empirical modeling. This study finds that room sales are significantly influenced by the review volume, suggesting the importance of awareness effect. Specifically, a 1% increase in the average quarterly number of reviews received would result in a 0.10 units increase in the average revenue per available room. Compared to paid or owned traditional marketing channels, the earned consumer reviews' business value can be justified by the marginal costs of producing extra copies of reviews by consumers and providing social media service by hotel managers. Nevertheless, this study shows that the rating of consumer reviews and its variation does not have effect on hotel room sales after accounting for the endogeneity, indicating that online reviews have little persuasion effect on consumer purchase decisions. Thus, this study considers the awareness effect of Word-of-Mouth (WOM) as the primary effect in the dynamic mechanism between consumer reviews and room sales. From the theoretical perspective, this study represents a comprehensive understanding of consumer reviews by integrating both awareness and persuasion effects. By identifying strategically important review components and their effects, the study adds to the prior literature by providing a positive reconciliation of the mixed findings about the effect of consumer reviews. From the managerial perspective, the awareness effect of consumer reviews suggests that businesses should embrace and facilitate WOM activities. However, consumers are not influenced by the persuasion effect of online WOM, thus presenting a challenge to businesses that try to influence sales through "planting" positive product reviews. Hotel managers shall therefore focus more on the mechanisms that facilitate dispersion of underlying word-of- mouth exchange rather than try to influence online ratings. From the methodology perspective, this study contributes to the hospitality literature by providing econometric justifications for the use of dynamic panel data estimation, discussing the conditions under which it improves inference beyond the traditional pooled OLS and traditional fixed- effects estimates. This study shows that dynamic effect is likely to be particularly important in hospitality research since much of our research seeks to determine the effect of different stimulating variables (e.g., consumer reviews, pricing strategy, customer relationship management, etc.) on hotel performance, an aspect of research that is particularly susceptible to biases that may arise by ignoring the effect of historical performance on current stimulating variables. The empirical attempt initiated in this study welcomes replications of future research.

Analytics in Smart Tourism Design

Analytics in Smart Tourism Design PDF Author: Zheng Xiang
Publisher: Springer
ISBN: 3319442635
Category : Business & Economics
Languages : en
Pages : 309

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Book Description
This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.

Information and Communication Technologies in Tourism 2021

Information and Communication Technologies in Tourism 2021 PDF Author: Wolfgang Wörndl
Publisher: Springer Nature
ISBN: 303065785X
Category : Business & Economics
Languages : en
Pages : 587

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Book Description
This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.

Leveraging Emotional and Artificial Intelligence for Organisational Performance

Leveraging Emotional and Artificial Intelligence for Organisational Performance PDF Author: Catherine Prentice
Publisher: Springer Nature
ISBN: 9819918650
Category : Computers
Languages : en
Pages : 180

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Book Description
This book takes a fresh stance and views EI and AI as services that are provided by service employees and machines as organisational offerings to customers. As emotional intelligence (EI) and artificial intelligence (AI) have been cited to have broad effects on individuals, businesses and beyond, this book is focused on the organisational context, specifically how they affect employees and customers from a marketing perspective. The stance in this book is consistent with the conceptualisation of a service. This book holds that intelligence in businesses must turn into organisational assets to manifest their values. Further, this book explores this service-dominant logic era, and compared to tangible products, service plays a key role in organisational performance and customer relationship with the organisation. Intelligence exhibited either by human or machine is not a tangible product, but can be utilised as a service to assist employees in performing tasks and delivering services as well as facilitating business transaction and customer experience. This book is structured as follows. Chapters 2 and 3 demystify emotional and artificial intelligence, from different perspectives, including conceptualisations, the history and evolution of the concepts, how they function and where they can apply to. These discussions help readers understand what exactly these two intelligences are. Chapters 4 and 5 analyse how emotional intelligence is related to employees and customers, respectively, with a focus on service organisations. Chapters 6–8 are dedicated to anatomising AI and how it is operationalised as a service to influence employees and customers. Specifically, viewing AI as a service, Chapter 6 examines the impact of AI service quality and how it is related to employee service quality. Chapter 7 analyses the influence of AI service quality on customers. Based on the discussion in Chapters 6 and 7, Chapter 8 is extended to develop a scale to measure such AI service, named AI service quality. The last three chapters of this book integrate EI and AI to analyse their respective impacts on employees and customers. Chapter 9 proposes EI as a moderator of AI, whereas Chapter 10 proposes AI as a moderator of EI. Chapter 11 employs service profit chain to integrate EI and AI in the chain relationship to understand their effects on both employees and customers. This chapter broadly covers the service industry with a focus on tourism and hospitality sector. The discussion on the impact of EI and AI is complemented with empirical studies conducted in tourism or hospitality context to address their effects in these sectors.

Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement

Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement PDF Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 370

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Book Description
Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions.

Hotel Pricing in a Social World

Hotel Pricing in a Social World PDF Author: Kelly A. McGuire
Publisher: John Wiley & Sons
ISBN: 1119129966
Category : Business & Economics
Languages : en
Pages : 357

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Book Description
Take control of revenue management in the new hotel economy Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an insightful resource that provides guidance on improving organizational decision making to keep your hotel relevant, from a pricing standpoint, in the often chaotic hotel landscape. This groundbreaking book clearly showcases the current environment of the hotel industry, and describes new and emerging trends that can impact your revenue management tactics. This essential text prepares you to survive and thrive in today's highly competitive market, and outlines the best approach to building profitable pricing strategies that follow both tactical and strategic best practices. Revenue management has become a key activity in the highly social environment of today's hotel industry, thanks to mobile technology and social media. Though relatively new, revenue management is a quickly-evolving discipline that requires precision if you want to maintain your hotel's relevance in the market. Leverage original research, case studies, and industry examples to understand the practical application of key concepts Explore current market conditions that have an impact on revenue management Consider how advances in data management, analytics, and data visualization can impact revenue management practices Identify how revenue management can help you take advantage of market opportunities and overcome challenges Hotel Pricing in a Social World: How to Drive Value in the New Hotel Economy is an essential text for hotel CFOs, CMOs, revenue managers, and operations managers who want to leverage revenue management techniques to keep their hotel competitive.

Hotels of North America

Hotels of North America PDF Author: Rick Moody
Publisher: Serpent's Tail
ISBN: 1782832203
Category : Fiction
Languages : en
Pages : 204

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Book Description
Reginald Edward Morse is a man in need of an outlet. And he finds it in a very twenty-first century place: the internet. Specifically, RateYourLodging.com, where Americans go to find out the truth about hotels, motels and, horrors, bed and breakfasts. But the real joy of those sites is not so much the advice they offer, but the people who offer it. Reginald Edward Morse is one of those people. At first Morse seems exactly what you'd suspect a reviewer to be, though under the authoritative, even puffed-up tone, there lurks self-awareness, wit and a flair for anecdote. His reviews scatter clues to his identity, and the fragments explain the mystery of Reginald Edward Morse, his career as a motivational speaker, his lover 'K' and his estrangement from his daughter. Always funny, unexpectedly tragic, this is a book of lonely rooms, long lists, of strong opinion and quiet confession, by one of America's greatest novelists.

Ontology-Based Data Access Leveraging Subjective Reports

Ontology-Based Data Access Leveraging Subjective Reports PDF Author: Gerardo I. Simari
Publisher: Springer
ISBN: 331965229X
Category : Computers
Languages : en
Pages : 83

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Book Description
This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others. Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Information and Communication Technologies in Tourism 2008

Information and Communication Technologies in Tourism 2008 PDF Author: Peter O'Connor
Publisher: Springer
ISBN: 9783211100790
Category : Business & Economics
Languages : en
Pages : 591

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Book Description
This collection of papers presented at the ENTER 2008 Conference represents cutting-edge research on "eTourism: The View from the Future". This year's 50 full research papers cover topics such as: user-generated content, dynamic packaging, mobile applications, context-aware systems, technology adoption, and recommender systems. All papers have undergone a double blind peer review process; therefore, the proceedings represent the state-of-the-art of IT and Tourism research.

The Economics of Tourism Destinations

The Economics of Tourism Destinations PDF Author: Guido Candela
Publisher: Springer Science & Business Media
ISBN: 3642208738
Category : Business & Economics
Languages : en
Pages : 626

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Book Description
The book aims at providing an overview of the main economic issues related to tourism activities. While tourism is an important sector, contributing to more than 10% of the European Union’s GDP, research and teaching at the university level has only recently grown to a considerable level, and the field still lacks a firm research methodology. This book approaches tourism economics as an applied field of study in which tourism markets are represented as imperfect markets, with asymmetric and incomplete information among agents, bounded rationality, and with a strong presence of externalities and public goods. The economic issues studied in the book are approached both intuitively, largely using examples and case studies, and formally, with mathematical formalizations in text boxes.