---
_id: '56636'
abstract:
- lang: eng
  text: Abstract. Business reputation ecosystems are a widely untapped research field.
    In these ecosystems, agents can selectively exchange (monetary) ratings to in-form
    about the experienced quality in a market. We build a model for conducting a multi-agent
    simulation that can be used to simulate and evaluate business rep-utation ecosystems
    as a new system class. We explore the factual occurring vol-untary payment to
    create positive (pay) or negative ratings (no pay), selling rat-ings selectively
    to alleviate information asymmetry, and the workings of counter-ratings to prevent
    buyers' dishonest ratings. Thereby, we analyze, among others, agent profitability,
    the occurrence of dishonest ratings, and reputation bias and sensitivity. The
    results provide simulation-based empirical evidence that the con-cept of monetary
    reputation systems provides necessary incentives for participa-tion, and high-quality
    sellers and honest buyers benefit from such a system. The results indicate that
    counter-ratings prompt buyers
author:
- first_name: Ulvi
  full_name: Ibrahimli, Ulvi
  last_name: Ibrahimli
- first_name: Simon
  full_name: Hemmrich, Simon
  last_name: Hemmrich
- first_name: Simon
  full_name: Zauke, Simon
  last_name: Zauke
- first_name: Axel
  full_name: Winkelmann, Axel
  last_name: Winkelmann
citation:
  ama: 'Ibrahimli U, Hemmrich S, Zauke S, Winkelmann A. Overcoming Lemon Markets with
    Business Reputation  Ecosystem – A Multi-agent Simulation on Monetary  Ratings.
    In: <i>19. Internationale Tagung Wirtschaftsinformatik (WI24)</i>. ; 2024.'
  apa: Ibrahimli, U., Hemmrich, S., Zauke, S., &#38; Winkelmann, A. (2024). Overcoming
    Lemon Markets with Business Reputation  Ecosystem – A Multi-agent Simulation on
    Monetary  Ratings. <i>19. Internationale Tagung Wirtschaftsinformatik (WI24)</i>.
  bibtex: '@inproceedings{Ibrahimli_Hemmrich_Zauke_Winkelmann_2024, title={Overcoming
    Lemon Markets with Business Reputation  Ecosystem – A Multi-agent Simulation on
    Monetary  Ratings}, booktitle={19. Internationale Tagung Wirtschaftsinformatik
    (WI24)}, author={Ibrahimli, Ulvi and Hemmrich, Simon and Zauke, Simon and Winkelmann,
    Axel}, year={2024} }'
  chicago: Ibrahimli, Ulvi, Simon Hemmrich, Simon Zauke, and Axel Winkelmann. “Overcoming
    Lemon Markets with Business Reputation  Ecosystem – A Multi-Agent Simulation on
    Monetary  Ratings.” In <i>19. Internationale Tagung Wirtschaftsinformatik (WI24)</i>,
    2024.
  ieee: U. Ibrahimli, S. Hemmrich, S. Zauke, and A. Winkelmann, “Overcoming Lemon
    Markets with Business Reputation  Ecosystem – A Multi-agent Simulation on Monetary 
    Ratings,” Würzburg, 2024.
  mla: Ibrahimli, Ulvi, et al. “Overcoming Lemon Markets with Business Reputation 
    Ecosystem – A Multi-Agent Simulation on Monetary  Ratings.” <i>19. Internationale
    Tagung Wirtschaftsinformatik (WI24)</i>, 2024.
  short: 'U. Ibrahimli, S. Hemmrich, S. Zauke, A. Winkelmann, in: 19. Internationale
    Tagung Wirtschaftsinformatik (WI24), 2024.'
conference:
  location: Würzburg
date_created: 2024-10-16T07:36:56Z
date_updated: 2026-04-02T04:31:53Z
jel:
- C30
- A12
- D4
- D82
- L14
keyword:
- Reputation System
- Payment as Rating
- Multi-Agent Simulation
- Lemon Markets
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/382338551_Overcoming_Lemon_Markets_with_Business_Reputation_Ecosystem_-A_Multi-agent_Simulation_on_Monetary_Ratings_Research_Paper
oa: '1'
publication: 19. Internationale Tagung Wirtschaftsinformatik (WI24)
publication_status: published
quality_controlled: '1'
status: public
title: Overcoming Lemon Markets with Business Reputation  Ecosystem – A Multi-agent
  Simulation on Monetary  Ratings
type: conference
user_id: '83557'
year: '2024'
...