---
res:
  bibo_abstract:
  - <jats:p>Peer-to-peer markets are especially suitable for the analysis of online
    ratings as they represent two-sided markets that match buyers to sellers and thus
    lead to reduced scope for opportunistic behavior. We decompose the online ratings
    by focusing on the customer’s decision-making process in a leading peer-to-peer
    ridesharing platform. Using data from the leading peer-to-peer ridesharing platform
    BlaBlaCar, we analyze 17,584 users registered between 2004 and 2014 and their
    online ratings focusing on the decomposition of the explicit determinants reflecting
    the variance of online ratings. We find clear evidence to suggest that a driver’s
    attitude towards music, pets, smoking, and conversation has a significantly positive
    influence on his received online ratings. However, we also show that the interaction
    of female drivers and their attitude towards pets has a significantly negative
    effect on average ratings.</jats:p>@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Daniel
      foaf_name: Kaimann, Daniel
      foaf_surname: Kaimann
      foaf_workInfoHomepage: http://www.librecat.org/personId=18949
  bibo_doi: 10.3390/su12156185
  bibo_issue: '15'
  bibo_volume: 12
  dct_date: 2020^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2071-1050
  dct_language: eng
  dct_title: 'Behind the Review Curtain: Decomposition of Online Consumer Ratings
    in Peer-to-Peer Markets@'
...