Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome
Nonprofessional hosts in the P2P accommodation-sharing markets have been demonstrated to be inferior in pricing. The sharing market is increasingly recruiting more professional hosts but is bothered by the disharmony from nonprofessionals’ feelings of being cast aside in this drive. To respond to th...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/52aef408de6142b2b80324f551ccf614 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:52aef408de6142b2b80324f551ccf614 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:52aef408de6142b2b80324f551ccf6142021-11-11T19:52:01ZInvestigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome10.3390/su1321123312071-1050https://doaj.org/article/52aef408de6142b2b80324f551ccf6142021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12331https://doaj.org/toc/2071-1050Nonprofessional hosts in the P2P accommodation-sharing markets have been demonstrated to be inferior in pricing. The sharing market is increasingly recruiting more professional hosts but is bothered by the disharmony from nonprofessionals’ feelings of being cast aside in this drive. To respond to this practice and disharmony, we develop a modeling framework with price-sensitive customers and earning-based hosts to investigate how varying ratios of professional and nonprofessional hosts affect pricing and impact sharing-market outcomes according to contemporary and long-term success indicators. This study is one of the first attempts to examine whether more professional hosts as supply decision makers is more beneficial to the sharing market. Numerical experiments for model analysis led to two primary managerial implications. A high ratio of professional hosts does not necessarily maximize indicators of hosts’ earnings, platform’s profit, or supply size, indicators that measure the accommodation-sharing market’s contemporary and long-term success. In addition, the market improves with magnified differences in the unique features of two types of hosts and they can cater to customers’ experiences and expectations, differentiating the market positioning of the two types of hosts.Ru JiaShanshan WangMDPI AGarticleaccommodation-sharing marketnonprofessional hostsprofessional hostsmarket outcomespreference differenceEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12331, p 12331 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
accommodation-sharing market nonprofessional hosts professional hosts market outcomes preference difference Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
spellingShingle |
accommodation-sharing market nonprofessional hosts professional hosts market outcomes preference difference Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ru Jia Shanshan Wang Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
description |
Nonprofessional hosts in the P2P accommodation-sharing markets have been demonstrated to be inferior in pricing. The sharing market is increasingly recruiting more professional hosts but is bothered by the disharmony from nonprofessionals’ feelings of being cast aside in this drive. To respond to this practice and disharmony, we develop a modeling framework with price-sensitive customers and earning-based hosts to investigate how varying ratios of professional and nonprofessional hosts affect pricing and impact sharing-market outcomes according to contemporary and long-term success indicators. This study is one of the first attempts to examine whether more professional hosts as supply decision makers is more beneficial to the sharing market. Numerical experiments for model analysis led to two primary managerial implications. A high ratio of professional hosts does not necessarily maximize indicators of hosts’ earnings, platform’s profit, or supply size, indicators that measure the accommodation-sharing market’s contemporary and long-term success. In addition, the market improves with magnified differences in the unique features of two types of hosts and they can cater to customers’ experiences and expectations, differentiating the market positioning of the two types of hosts. |
format |
article |
author |
Ru Jia Shanshan Wang |
author_facet |
Ru Jia Shanshan Wang |
author_sort |
Ru Jia |
title |
Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
title_short |
Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
title_full |
Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
title_fullStr |
Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
title_full_unstemmed |
Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome |
title_sort |
investigating the impact of professional and nonprofessional hosts’ pricing behaviors on accommodation-sharing market outcome |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/52aef408de6142b2b80324f551ccf614 |
work_keys_str_mv |
AT rujia investigatingtheimpactofprofessionalandnonprofessionalhostspricingbehaviorsonaccommodationsharingmarketoutcome AT shanshanwang investigatingtheimpactofprofessionalandnonprofessionalhostspricingbehaviorsonaccommodationsharingmarketoutcome |
_version_ |
1718431407953412096 |