{"jel":["C30","A12","D4","D82","L14"],"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.","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.","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.","short":"U. Ibrahimli, S. Hemmrich, S. Zauke, A. Winkelmann, in: 19. Internationale Tagung Wirtschaftsinformatik (WI24), 2024.","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} }","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.","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>."},"year":"2024","quality_controlled":"1","publication_status":"published","conference":{"location":"Würzburg"},"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"}],"title":"Overcoming Lemon Markets with Business Reputation  Ecosystem – A Multi-agent Simulation on Monetary  Ratings","date_created":"2024-10-16T07:36:56Z","author":[{"full_name":"Ibrahimli, Ulvi","last_name":"Ibrahimli","first_name":"Ulvi"},{"first_name":"Simon","last_name":"Hemmrich","full_name":"Hemmrich, Simon"},{"full_name":"Zauke, Simon","last_name":"Zauke","first_name":"Simon"},{"full_name":"Winkelmann, Axel","last_name":"Winkelmann","first_name":"Axel"}],"oa":"1","date_updated":"2026-04-02T04:31:53Z","status":"public","abstract":[{"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","lang":"eng"}],"publication":"19. Internationale Tagung Wirtschaftsinformatik (WI24)","type":"conference","language":[{"iso":"eng"}],"keyword":["Reputation System","Payment as Rating","Multi-Agent Simulation","Lemon Markets"],"user_id":"83557","_id":"56636"}