What Airbnb Host Listings Influence Peer-to-Peer Tourist Accommodation Price?

2020 ◽  
Vol 44 (4) ◽  
pp. 597-623 ◽  
Author(s):  
Manojit Chattopadhyay ◽  
Subrata Kumar Mitra
Keyword(s):  
Hotel Industry ◽  
Hedonic Pricing ◽  
Peer To Peer ◽  
Pricing Strategy ◽  
Data Set ◽  
Multiple Regressions ◽  
Main Determinants ◽  
Tourist Accommodation

Recognizing that the pricing strategy of the newly emerging online shared accommodation industry would be different from that of the traditional hotel industry, this study attempted to identify the variables that are the main determinants of the peer-to-peer tourist accommodation price. Using a data set of Airbnb accommodation listings for Toronto, the study established a relationship between room pricing and various listing variables and identified a reduced number of listing attributes that influence the room price significantly. Focusing on a reduced number of important variables, Airbnb hosts can not only increase average profit but would also give tourists a better rental experience. Along with traditional multiple regressions approach, the study also applied two different approaches and found that the analysis of hedonic pricing using nonlinear and nonparametric approaches is quite promising.

Which professional skills value more under digital transformation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofia Paklina ◽  
Elena Shakina
Keyword(s):  
Text Mining ◽  
Labour Market ◽  
Empirical Evidence ◽  
Labour Force ◽  
Sample Selection ◽  
Large Data ◽  
Hedonic Pricing ◽  
Data Set ◽  
Content Type ◽  
Computing Skills

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

Drivers of Price in City Destinations: Vienna

2017 ◽  
Author(s):  
Bernhard Andreas Hrobath ◽  
Friedrich Leisch ◽  
Sara Dolnicar
Keyword(s):  
Peer To Peer ◽  
Disruptive Innovations ◽  
Tourist Accommodation

Peer-to-peer accommodation networks have been described as disruptive innovations, as revolutions in tourist accommodation, where demand is driven by new factors such as living like a local, authenticity and meeting new people. If indeed reasons for trading on these networks are so fundamentally different, prices should reflect that. This chapter investigates what drives the price of Airbnb listings in Vienna, and asks whether these price drivers are indeed new, or whether they reflect those in established commercial accommodation.

Competitor Orientation, Pricing Strategy, and Business Performance

2020 ◽  
pp. 115-128
Author(s):  
Carlos A. F. Sampaio ◽  
Ricardo G. Rodrigues ◽  
José M. Hernández-Mogollón
Keyword(s):  
Structural Equation ◽  
Business Performance ◽  
Hotel Industry ◽  
Pricing Strategy ◽  
Equation Modeling ◽  
Price Strategy ◽  
Mediating Role ◽  
Competitor Orientation ◽  
The Relationship

This study proposes to study the nature of the relationship between competitor orientation, a strategy based on low prices and hotel business performance, and to test if a low-price strategy plays a mediating role in the relationship between competitor orientation and business performance. A structural equation modeling approach is used, and a sample from the Italian hotel industry is used to evaluate the proposed hypotheses. Results show that competitor orientation is positively related to business performance and to a strategy based on low prices. Furthermore, it is found that a low-price strategy has adverse effects on business performance. Additionally, the mediating role of the low-price strategy is not confirmed.

scholarly journals Doubly Robust Estimation of Causal Effect

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Xiaochun Li ◽  
Changyu Shen
Keyword(s):  
Propensity Score ◽  
Causal Effect ◽  
Model Specification ◽  
Robust Estimator ◽  
Data Set ◽  
Multiple Regressions ◽  
Doubly Robust Estimation ◽  
Doubly Robust ◽  
Confounding Adjustment ◽  
The Relationship

Propensity score–based methods or multiple regressions of the outcome are often used for confounding adjustment in analysis of observational studies. In either approach, a model is needed: A model describing the relationship between the treatment assignment and covariates in the propensity score–based method or a model for the outcome and covariates in the multiple regressions. The 2 models are usually unknown to the investigators and must be estimated. The correct model specification, therefore, is essential for the validity of the final causal estimate. We describe in this article a doubly robust estimator which combines both models propitiously to offer analysts 2 chances for obtaining a valid causal estimate and demonstrate its use through a data set from the Lindner Center Study.

Effect of Commercial Neighbors on The Online Popularity of Peer-To-Peer Accommodation-Sharing Properties

2020 ◽  
Vol 44 (5) ◽  
pp. 780-805 ◽  
Author(s):  
Jianwei Liu ◽  
Jinah Park ◽  
Karen Xie ◽  
Haiyan Song ◽  
Wei Chen
Keyword(s):  
Large Scale ◽  
Service Operations ◽  
Peer To Peer ◽  
Competitive Advantages ◽  
Price Difference ◽  
Data Set ◽  
Tourist Attractions ◽  
Negative Effect ◽  
The Individual ◽  
Ownership Types

Commercial hosts are becoming increasingly common in peer-to-peer (P2P) accommodation sharing. Yet the interplay between commercial and individual hosts has been unclear. This study investigates the effect of properties managed by commercial hosts on the individual hosts in the neighborhood. Specifically, we hypothesize that an increase in commercial properties, which have competitive advantages, would penetrate neighborhood markets and cannibalize the online popularity of individual properties. We test these hypotheses using a large-scale, longitudinal data set collected from a leading P2P accommodation-sharing platform in Beijing. The findings show that an increase in commercial properties is associated with a decline in the popularity of individual properties in the neighborhood. However, the negative effect of commercial properties is weakened when there is a higher price difference between the two ownership types and a higher density of tourist attractions. The implications for service operations and strategies for P2P accommodation-sharing businesses are discussed.

Business-to-business referral as digital coopetition strategy

2020 ◽  
Vol 54 (6) ◽  
pp. 1181-1203
Author(s):  
Ying Zhu ◽  
Valerie Lynette Wang ◽  
Yong Jian Wang ◽  
Jim Nastos
Keyword(s):  
Physical Distance ◽  
Peer To Peer ◽  
Digital Data ◽  
Data Set ◽  
Content Type ◽  
Digital Space ◽  
Digital Network ◽  
The Impact ◽  
Business To Business ◽  
Practical Implications

Purpose Based on theories related to coopetition, the purpose of this paper is to examine the patterns of business-to-business digital referrals inscribed in businesses’ digital content. Design/methodology/approach A complete industry-wise digital data set is formed by extracting digital referrals in all the content pages. The authors outline how digital referrals are strategically used among peer businesses in the peer-to-peer digital network and in the augmented digital network, taking into consideration geographical framing and physical distance. Findings The authors reveal how geographical framing and physical distance influence peer-to-peer referral patterns in the digital space. Quite counter-intuitively, businesses are more likely to give digital referrals for peers residing in the same region, as well as for peers located in closer proximity. Further, results from the augmented digital network show that peer businesses in closer proximity exhibit greater strategic similarity in their digital referring strategy. Research limitations/implications The findings extend the understanding of business-to-business coopetition to the digital space and suggest that geographical framing and physical distance can induce reciprocated relationships between peers by offering each other digital referrals. Practical implications The findings shed light on the formation of a business-to-business digital coopetition strategy using digital referral marketing. Originality/value This study highlights the impact of digital referrals in business-to-business relationship management, especially in the digital coopetition context.

The exhaustion of the herding effect in peer-to-peer accommodation

2020 ◽  
pp. 135481662094653
Author(s):  
Beatriz Benítez-Aurioles
Keyword(s):  
Utility Maximization ◽  
Peer To Peer ◽  
Herding Behavior ◽  
European Cities ◽  
The Future ◽  
Balanced Distribution ◽  
Reservation Policy ◽  
Tourist Accommodation

A significant reason for the concentration of demand in a subset of the supply in the peer-to-peer market for tourist accommodation is herding behavior, by which the decisions of the first guests are imitated by those who follow. This article proposes a profit- and utility-maximization microeconomic model and implements it with data of Airbnb listings corresponding to 10 European cities. Results show that the influence of each additional review is positive but decreasing, inducing a more balanced distribution of demand among offered accommodation and thus dampening the herding effect. Moreover, reservation policy—specifically, enabling the instant booking option—is a key to explain the initial push that accommodations need to be demanded now and, hence, to increase their possibilities of being demanded in the future.

Hypolimnetic Oxygen Consumption in Small Lakes

1985 ◽  
Vol 42 (9) ◽  
pp. 1493-1500 ◽  
Author(s):  
Roberta R. Fulthorpe ◽  
J. E. Paloheimo
Keyword(s):  
Oxygen Consumption ◽  
Organic Carbon ◽  
Light Level ◽  
Small Lakes ◽  
Data Set ◽  
Multiple Regressions ◽  
Hypolimnetic Oxygen ◽  
Lake Morphology ◽  
Consumption Rates ◽  
Oxygen Dynamics

The hypolimnetic oxygen consumption rates of 28 Ontario lakes were calculated and compared with lake morphology, chemical concentrations, and productivity measures. In most cases, hypolimnia had upper zones where average light intensities were greater than 1% of surface light. In these layers, oxygen dynamics were highly variable from year to year and production rather than consumption was common. The ratio of areal oxygen consumption below the 1% light level to planktonic production corrected for retention was studied as a measure of percent available material decomposed. Using stepwise multiple regressions, we found this parameter to be related to mean thickness of the hypolimnion, lake organic carbon, and iron concentrations. The range of lake productivities in the data set was small and did not explain a significant portion of the variance in areal hypolimnetic depletion rates.

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