scholarly journals Understanding Peer-to-Peer, Two-Sided Digital Marketplaces: Pricing Lessons from Airbnb in Barcelona

2020 ◽  
Vol 12 (13) ◽  
pp. 5229
Author(s):  
Josep Lladós-Masllorens ◽  
Antoni Meseguer-Artola ◽  
Inma Rodríguez-Ardura
Keyword(s):  
Online Reviews ◽  
Peer To Peer ◽  
Tourism Industry ◽  
Brand Value ◽  
Value Proposition ◽  
Large Dataset ◽  
Travel And Tourism ◽  
Price Levels ◽  
Value Propositions ◽  
The Way

Peer-to-peer, two-sided digital marketplaces are reshaping the way in which consumers exchange products and interact with brand value propositions, particularly in the travel and tourism industry. Within the dynamics of these marketplaces, pricing approaches are of the utmost importance; yet, in contrast to conventional digital marketplaces, prices are set by non-professional vendors who are also consumers. We contribute to research on the topic by examining pricing within a single peer-to-peer, two-sided marketing platform: Airbnb. We use a large dataset covering accommodation listed by non-professional hosts in Barcelona, Spain. We identify a range of intrinsic and extrinsic attributes of the value propositions of Airbnb peer-to-peer accommodation, which enables us to explain differences in price levels. The paper offers evidence that higher accommodation prices are best explained by guests’ preference for the intrinsic functional qualities of the value proposition; and that the systematic interaction of valence and volume of online reviews can produce a crucial impact on pricing.

scholarly journals Indian Tourism Industry and COVID-19: A Sustainable Recovery Framework in a Post-Pandemic Era

2021 ◽  
pp. 097226292110432
Author(s):  
Kshitija Pandey ◽  
Kala Mahadevan ◽  
Sujata Joshi
Keyword(s):  
Literature Review ◽  
Business Environment ◽  
Tourism Industry ◽  
Global Business ◽  
Analysis And Evaluation ◽  
Travel And Tourism ◽  
Narrative Literature ◽  
Narrative Literature Review ◽  
Sustainable Recovery ◽  
The Way

The COVID-19 outbreak has impacted the global business environment and has resulted in significantly challenging multiple industries across the business spectrum. One of the industries facing severe adverse consequences is the travel and tourism industry. This study aims to assess and assimilate the overall impact posed by this pandemic to the Indian tourism industry and propose a sustainable recovery framework that would provide a guideline to all the Indian tourism industry stakeholders to forge the way forward in the post-pandemic era. The study adopts a narrative literature review-based approach to arrive at a sustainable recovery framework based on the analysis and evaluation of the literature on the proposed topic. The study finds that the Indian tourism industry has been significantly impacted by the ongoing pandemic and has altered the functioning of all the stakeholders in the industry.

scholarly journals Mining brand value propositions on Twitter: exploring the link between marketer-generated content and eWOM outcomes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mostafa Alwash ◽  
Bastin Tony Roy Savarimuthu ◽  
Mathew Parackal
Keyword(s):  
Social Media Marketing ◽  
Brand Value ◽  
Value Proposition ◽  
Negative Valence ◽  
A Value ◽  
Twitter Data ◽  
Scant Attention ◽  
Value Propositions ◽  
Empirical Perspective ◽  
Content Marketing

AbstractContent marketing has become a mainstream channel for brands to engage the market with value propositions. Through content, brands control, instigate and co-create value with its target audience. However, the nature of value propositions embedded within the cycle of content co-creation and their impact on eWOM outcomes has received scant attention from an empirical perspective. In this paper, we propose a value proposition-based framework around content marketing using established business perspectives. We employ bidirectional Twitter data from brands and customers to unearth descriptive, diagnostic and predictive insights into value propositions. Using a sample of marketer- and user-generated data from 10 Coffee (n(MGC) = 290, n(UGC) = 8811) and Car brands (n(MGC) = 635, n(UGC) = 7035) in 2018, a taxonomy of value propositions based on the literature was proposed and validated. The results of our study identify (a) descriptive insights explaining differentiation of brand value propositions, (b) diagnostic insights relating to consumer sentiments in response to the value proposition mix and (c) predictive insights of models predicting brand-specific values’ influencing Like, Share, Comment and Positive/Negative valence. Our results show that an effective social media marketing strategy selectively uses elements of the marketing mix (i.e. 4 P’s) within value propositions to attract favourable eWOM outcomes.

DISTRIBUTION OF TOURISM SERVICES IN OMNICHANNEL RETAILING

2020 ◽  
Author(s):  
Velina Kazandzhieva ◽  
Keyword(s):  
Distribution System ◽  
Tourism Industry ◽  
Travel And Tourism ◽  
Online Sales ◽  
Research Plan ◽  
Tourism Services ◽  
Marketing Approach ◽  
The Way

Omnichannel is a buzzword in e-commerce and online tourism trends over the last few years. Moreover, it is a concept and marketing approach to apply in travel and tourism industry. The way tourists research, plan and book their tours and activities is evolving. Knowing the trending booking channels include the entire path to purchase, from inspiration to conversion. The growing importance of online sales means that traditional bricks-and-mortar retailers need to transform the distribution system to deliver an omnichannel experience to their customers.

Using Intelligent Text Analysis of Online Reviews to Determine the Main Factors of Restaurant Value Propositions

2021 ◽  
pp. 223-240
Author(s):  
Elizaveta Fainshtein ◽  
Elena Serova
Keyword(s):  
Consumer Preferences ◽  
Online Reviews ◽  
Text Messages ◽  
Value Proposition ◽  
Key Factors ◽  
Customer Reviews ◽  
Value Propositions ◽  
Restaurant Reviews ◽  
Manova Analysis

This chapter discusses the sentiment classification of text messages containing customer reviews of an online restaurant service system using machine-learning methods, in particular text mining and multivariate text sentiment analysis. The study determines the structure of value proposition factors based on online restaurant reviews on TripAdvisor, collecting information on consumer preferences and the restaurant services in St. Petersburg (Russia) quality assessment and examines the influence of service format and reviews tonality on ratings restaurants factors. The service format context is proposed as the main attribute influencing the formation of the restaurant business value proposition and of relevance for online reviews. The results showed the key factors in the study of the sentiment were cuisine and dishes, reviews and ratings, and targeted search. MANOVA analysis represented that for special offers and features, reviews and ratings, factors and quantitative star ratings influenced the negative and positive sentiment of online reviews significantly.

scholarly journals Design and Development of MDOE for Virtual Tourism Management for Elderly People

2019 ◽  
Vol 8 (2) ◽  
pp. 3558-3562
Keyword(s):  
Virtual Reality ◽  
Elderly People ◽  
Information And Communication Technologies ◽  
Environmental Changes ◽  
Senior Citizen ◽  
Tourism Industry ◽  
Virtual Reality Technology ◽  
Virtual Tour ◽  
Travel And Tourism ◽  
The Way

The unstoppable growth of the internet as a communicationtoolfor travel and tourism poses greater challenges to tourism industries. Virtual tours have turned out to be an effective tool in engaging the customers with the Tourism companies. For older adults who wish to traveldespite their age and disability , the real world becomes very wide and stifling. But they may be able to escape from this isolation to the degree through virtual reality. Technology has largely shaped the way tourism projects are marketed in the contemporary industry. The direct and lasting impact of the unprecedented growth of technology, particularly in the tourism industry is strongly felt in the Virtual Reality technology which provides extraordinary opportunities. The recent developments in information and communication technologies (ICTs) have transformed tourism rapidly , with impacts on all areas in Tourist’s demand for Tourism management.Though aging process has adversely affected the physical health of senior citizen it can not little be their spirit and wish to travel to see places of interest . Health issues may also become a factor that arises during the trip they plan. Old people may be affected by environmental changes , climatic changes and changes in food , a factor that tourism providers should keep in mind while planning a tour.A virtual tour is a simulation of an existing location, usually composed of a sequence of videos, static images, sound effects, music, narration, and text. This paper presents Multi Disciplinary Ontology Engine (MDOE) which has been designedfor elderly people in the way they wish to enjoy the travel experience. This paper specially focuses on how the virtual tour fulfils the desires of the senior citizens with various algorithms andsatisfiesthem in the way they expect.

The impact of COVID-19 pandemic on the psychological needs of tourists: implications for the travel and tourism industry

2021 ◽  
Vol 38 (2) ◽  
pp. 155-166
Author(s):  
Catherine Cheung ◽  
Miki Takashima ◽  
Hyunjung (Helen) Choi ◽  
Huijun Yang ◽  
Vincent Tung
Keyword(s):  
Psychological Needs ◽  
Tourism Industry ◽  
Travel And Tourism ◽  
The Impact

Coping Mechanisms of Hospitality Industry Workers in a Tourism Destina-tion during the Covid-19 Pandemic

2021 ◽  
Vol 2 (12) ◽  
pp. 1410-1415
Author(s):  
Bezaleel Joy Murchante Danay ◽  
Zephaniah Dela Cruz Danay ◽  
Cherry Colesio Escarilla ◽  
Jimmy Bernabe Maming
Keyword(s):  
Hospitality Industry ◽  
Coping Mechanisms ◽  
Tourism Industry ◽  
Case Study Method ◽  
Key Informants ◽  
Travel And Tourism ◽  
Tourism Sector ◽  
Hospitality Workers ◽  
Different Levels

The Covid-19 pandemic brought massive devastations to the different levels of society. The World Travel and Tourism Council had recently warned that Covid-19 pandemic could lead to a cut of 50 million jobs worldwide in the travel and tourism industry. A study conducted by Oxford reveals that Asia will be vilest to be affected by the pandemic and it would take time to recover its economy (Dogra, 2020). This means a wider and greater impacts to the different industries including the tourism sector. The study aims to explore the coping mechanisms of hospitality industry workers in Boracay Island during the Covid-19 pandemic particularly on their experiences during the Covid-19 pandemic and to determine the coping mechanisms of hospitality workers in Boracay Island being affected by the pandemic. The case study method through a qualitative analysis using Robert Yin's approach in the data analysis procedure to explore the data from the experiences of the key informants from the hospitality industry was used. Themes came out from the construct of the key informants like (1) hospitality industry workers experienced mental health, social, and economic issues, (2) The pandemic opens new opportunities and ways to cope with its effects. The output of this research is the proposed Danay, Danay, Escarilla, and Maming Model for Coping Mechanisms of Hospitality Industry workers during the Covid-19 Pandemic.

Identifikation und Auswahl von Business Ecosystems*/Identification and selection of business ecosystems. Procedure and strategic and operative integration in industrial companies

2019 ◽  
Vol 109 (04) ◽  
pp. 294-301
Author(s):  
R. E. Geitner ◽  
T. Bauernhansl
Keyword(s):  
Value Proposition ◽  
Business Ecosystem ◽  
Industrial Companies ◽  
A Value ◽  
Basic Procedure ◽  
Business Ecosystems ◽  
Value Propositions ◽  
Operational Integration ◽  
A Company ◽  
Selection Of

Die fortschreitende Digitalisierung führt zu neuen und konvergierenden Produkt- und Dienstleistungen und effizienteren Prozessen. In Verbindung mit einem Wandel der Bedürfnisse führt sie darüber hinaus auch zu einem veränderten Nutzerverhalten und Nutzenverständnis der Kunden. Zur flexiblen und schnellen Umsetzung von passgenau individualisierten, oft branchenübergreifenden Wertangeboten und der Absicherung des Kundenzugangs wird es zukünftig wettbewerbsentscheidend sein, sich im richtigen Business Ecosystem – also der Gruppe von Akteuren die interagieren müssen, um ein entsprechendes Wertangebot zu realisieren und den entsprechenden Kundenzugang haben – zu bewegen und dieses mitzugestalten. Der Beitrag beschreibt das grundsätzliche Vorgehen zur Identifizierung und Auswahl relevanter Business Ecosystems sowie deren strategische und operative Einbindung in ein Unternehmen.   The ongoing digitization leads to new and converging product benefits and more efficient processes. In connection with a change in needs it also leads to a change in user behaviour and understanding of the benefits for customers. For the flexible and fast implementation of customized, individualized, often cross-industry value propositions and the safeguarding of access to customers, it will be crucial in the future to act and help to shape the relevant business ecosystems (group of actors that need to interact in order to realize a value proposition or to have access to customers). The article describes the basic procedure for identifying and selecting relevant business ecosystems and their strategic and operational integration into a company.

Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raffaele Filieri ◽  
Elettra D’Amico ◽  
Alessandro Destefanis ◽  
Emilio Paolucci ◽  
Elisabetta Raguseo
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Radical Change ◽  
Tourism Industry ◽  
Venture Capitalists ◽  
Content Type ◽  
Travel And Tourism ◽  
Study Experience ◽  
And Mathematics ◽  
Start Ups

Purpose The travel and tourism industry (TTI) could benefit the most from artificial intelligence (AI), which could reshape this industry. This study aims to explore the characteristics of tourism AI start-ups, the AI technological domains financed by Venture Capitalists (VCs), and the phases of the supply chain where the AI domains are in high demand. Design/methodology/approach This study developed a database of the European AI start-ups operating in the TTI from the Crunchbase database (2005–2020). The authors used start-ups as the unit of analysis as they often foster radical change. The authors complemented quantitative and qualitative methods. Findings AI start-ups have been mainly created by male Science, Technology, Engineering and Mathematics graduates between 2015 and 2017. The number of founders and previous study experience in non-start-up companies was positively related to securing a higher amount of funding. European AI start-ups are concentrated in the capital town of major tourism destinations (France, UK and Spain). The AI technological domains that received more funding from VCs were Learning, Communication and Services (i.e. big data, machine learning and natural language processing), indicating a strong interest in AI solutions enabling marketing automation, segmentation and customisation. Furthermore, VC-backed AI solutions focus on the pre-trip and post-trip. Originality/value To the best of the authors’ knowledge, this is the first study focussing on digital entrepreneurship, specifically VC-backed AI start-ups operating in the TTI. The authors apply, for the first time, a mixed-method approach in the study of tourism entrepreneurship.

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