Logo des Repositoriums
Zur Startseite
  • English
  • Deutsch
Anmelden
  1. Startseite
  2. SuUB
  3. Forschungsdokumente
  4. Lock-In Effects in Online Labor Markets
 
Zitierlink DOI
10.26092/elib/1136

Lock-In Effects in Online Labor Markets

Veröffentlichungsdatum
2021-10-18
Autoren
Ciotti, Fabrizio  
Hornuf, Lars  
Stenzhorn, Eliza  
Zusammenfassung
This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers’ switching behaviors in online labor markets. Online platforms using reputation mechanisms typically prevent users from transferring their ratings to other platforms, inducing lock-in effects and high switching costs and leaving users vulnerable to platform exploitation. With a theoretical model, in which workers in online labor markets are locked-in by their reputational data, we test the effects using an online lab-in-the-field decision experiment. In addition to comparing a policy regime with and without reputation portability, we vary lock-in exploitation using platform fees to consider how switching behavior might differ according to monetary motives and fairness preferences. Theoretically, this study reveals how reputational investments can produce switching costs that platforms can exploit. Experimentally, the results suggest that reputation portability mitigates lock-in effects, making users less susceptible to lock-in exploitation. The data further show that switching is driven primarily by monetary motives, but perceiving the fee as unfair also has a significant role.
Schlagwörter
crowdsourcing

; 

online markets

; 

online labor

; 

reputation portability

; 

switching costs
Institution
Universität Bremen  
Fachbereich
Fachbereich 07: Wirtschaftswissenschaft (FB 07)  
Institute
Diginomics Research Group  
Dokumenttyp
Bericht, Report
Serie(s)
Diginomics Working Paper  
Band
0006
Zweitveröffentlichung
Nein
Lizenz
http://creativecommons.org/licenses/by/3.0/de/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Diginomics Working Paper - October 2021, No0006.pdf

Size

675.92 KB

Format

Adobe PDF

Checksum

(MD5):a4eb2e0b278dbd4dc5197306a4f0d6e3

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Datenschutzbestimmungen
  • Endnutzervereinbarung
  • Feedback schicken