Abstract
Reputation plays a key role in online marketplace communities improving trust among community members. Reputation works as a decision-making tool for understanding the behavior of the business partners. Success of any online business depends on the trust the business agents share with each other. However, untrustworthy agents have anno place in online marketplaces and are forced to leave the market even if they will potentially cooperate. In this study, we propose an exploration strategy based on a forgiveness mechanism for untrustworthy agents to recover their reputation. Furthermore, a number of experiments based on the NetLogo simulation are performed to validate the applicability of the proposed mechanism. The results show that the online marketplaces incorporating a forgiveness mechanism can be used with the existing reputation systems and improve the efficiency of online marketplaces.
- George A. Akerlof. 1970. The market for “lemons”: Quality uncertainty and the market mechanism. Quarter. J. Econ. 84, 3 (1970), 488--500.Google ScholarCross Ref
- Robert Axelrod. 1984. The Evolution of Cooperation. Basic Books, New York, NY.Google Scholar
- Ruchdee Binmad and Mingchu Li. 2016. Computational models based on forgiveness mechanism for untrustworthy agents. In Intelligent and Evolutionary Systems, Kittichai Lavangnananda, Somnuk Phon-Amnuaisuk, Worrawat Engchuan, and Jonathan H. Chan (Eds.). Proceedings in Adaptation, Learning and Optimization, Vol. 5. Springer International Publishing, 29--42.Google Scholar
- Susan D. Boon and Lorne M. Sulsky. 1997. Attributions of blame and forgiveness in romantic relationships: A policy-capturing study. J. Soc. Behav. Pers. 12 (1997), 19--26.Google Scholar
- Sviatoslav Braynov and Tuomas Sandholm. 2002. Contracting with uncertain level of trust. Comput. Intell. 18, 4 (2002), 501--514.Google ScholarCross Ref
- Radu Burete, Amelia Bădică, and Costin Bădică. 2010. Reputation model with forgiveness factor for semi-competitive e-business agent societies. In Networked Digital Technologies. Springer, 402--416.Google Scholar
- Radu Burete, Amelia Bădică, Costin Bădică, and Florin Moraru. 2011. Enhanced reputation model with forgiveness for e-business agents. Int. J. Agent Technol. Syst. 3, 2010 (2011), 11--26.Google ScholarCross Ref
- Saskia L. G. E. Burgers, Gert Jan Hofstede, Catholijn M. Jonker, and Tim Verwaart. 2010. Sensitivity analysis of an agent-based model of culture’s consequences for trade. Lect. Not. Econ. Math. Syst. 645 (2010), 253--264.Google ScholarCross Ref
- J. L. Burnette, M. E. McCullough, D. R. Van Tongeren, and D. E. Davis. 2012. Forgiveness results from integrating information about relationship value and exploitation risk. Pers. Soc. Psychol. Bull. 38, 3 (2012), 345--356.Google ScholarCross Ref
- Arnold H. Buss. 1980. Self-Consciousness and Social Anxiety. Freeman.Google Scholar
- eBay. 2015. eBay: All about feedback. Retrieved from http://pages.ebay.com/help/feedback/allaboutfeedback. html.Google Scholar
- Julie Juola Exline, Everett L. Worthington, Peter Hill, and Michael E. McCullough. 2003. Forgiveness and justice: A research agenda for social and personality psychology. Pers. Soc. Psychol. Rev. 7, 4 (2003), 337--348.Google ScholarCross Ref
- Diego Gambetta. 2000. Can we trust trust? Trust: Making and Breaking Cooperative Relations (2000), 213--237.Google Scholar
- Francesca Giardini, Rosaria Conte, and Paolucci Mario. 2013. Reputation. In Simulating Social Complexity: A Handbook, Bruce Edmonds and Ruth Meyer (Eds.). Springer, 365--399.Google Scholar
- Nigel Gilbert. 2008. Agent-Based Models. SAGE Publications, Thousand Oaks, CA.Google Scholar
- Nathan Griffiths. 2006. A fuzzy approach to reasoning with trust, distrust and insufficient trust. In Cooperative Information Agents X, Lecture Notes in Computer Science. Springer, 360--374. Google ScholarDigital Library
- Michael P. Haselhuhn, Maurice E. Schweitzer, and Alison M. Wood. 2010. How implicit beliefs influence trust recovery. Psychol. Sci. 21, 5 (2010), 645--648.Google ScholarCross Ref
- Trung Dong Huynh, Nicholas R. Jennings, and Nigel R. Shadbolt. 2006. An integrated trust and reputation model for open multi-agent systems. Auton. Agents Multi-Agent Syst. 13 (2006), 119--154. Google ScholarDigital Library
- Gerald G. Jampolsky. 2011. Forgiveness: The Greatest Healer of All. Simon 8 Schuster.Google Scholar
- Johan C. Karremans, Paul A. M. Van Lange, and Rob W Holland. 2005. Forgiveness and its associations with prosocial thinking, feeling, and doing beyond the relationship with the offender. Pers. Soc. Psychol. Bull. 31, 10 (2005), 1315--1326.Google ScholarCross Ref
- Laura B. Luchies, Eli J. Finkel, James K. McNulty, and Madoka Kumashiro. 2010. The doormat effect: When forgiving erodes self-respect and self-concept clarity. J. Pers. Soc. Psychol. 98, 5 (2010), 734--749.Google ScholarCross Ref
- Gregory R. Maio, Geoff Thomas, Frank D. Fincham, and Katherine B. Carnelley. 2008. Unraveling the role of forgiveness in family relationships. J. Pers. Soc. Psychol. 94, 2 (2008), 307--319.Google ScholarCross Ref
- Zaki Malik and Athman Bouguettaya. 2009. Reputation bootstrapping for trust establishment among web services. IEEE Internet Computing 13, 1 (2009), 40--47. Google ScholarDigital Library
- Stephen Marsh and Pamela Briggs. 2009. Examining trust, forgiveness and regret as computational concepts. In Computing with Social Trust, Jennifer Golbeck (Ed.). Springer, 9--43.Google Scholar
- Michael E. McCullough, Kenneth I. Pargament, and Carl E. Thoresen. 2001. Forgiveness: Theory, Research, and Practice. Guilford Press.Google Scholar
- M. E. McCullough, K. C. Rachal, S. J. Sandage, E. L. Worthington, S. W. Brown, and T. L. Hight. 1998. Interpersonal forgiving in close relationships: II. Theoretical elaboration and measurement. J. Pers. Soc. Psychol. 75, 6 (1998), 1586--1603.Google ScholarCross Ref
- NetLogo. 2015. NetLogo Models Library. (2015). Retrieved from http://ccl.northwestern.edu/netlogo/models/ index.cgi.Google Scholar
- Amy K. Smith, Ruth N. Bolton, and Janet Wagner. 1999. A model of customer satisfaction with service encounters involving failure and recovery. J. Market. Res. 36 (1999), 356--372.Google ScholarCross Ref
- Mozhgan Tavakolifard and Kevin C. Almeroth. 2012. Social computing: An intersection of recommender systems, trust/reputation systems, and social networks. IEEE Network 26, 4 (2012), 53--58.Google ScholarCross Ref
- WT Teacy, Georgios Chalkiadakis, Alex Rogers, and Nicholas R. Jennings. 2008. Sequential decision making with untrustworthy service providers. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi-agent Systems-Volume 2. International Foundation for Autonomous Agents and Multi-Agent Systems, 755--762. Google ScholarDigital Library
- Asimina Vasalou, Astrid Hopfensitz, and Jeremy V. Pitt. 2008. In praise of forgiveness: Ways for repairing trust breakdowns in one-off online interactions. Int. J. Hum.-Comput. Stud. 66 (2008), 466--480. Google ScholarDigital Library
- Asimina Vasalou and Jeremy Pitt. 2005. Reinventing forgiveness: A formal investigation of moral facilitation. In Proceedings of the 3rd International Conference on Trust Management, Vol. 3477. 146--160. Google ScholarDigital Library
- Asimina Vasalou, Jeremy Pitt, and Guillaume Piolle. 2006. From theory to practice: Forgiveness as a mechanism to repair conflicts in CMC. In Trust Management. Vol. 3986. Springer, 397--411. Google ScholarDigital Library
- Yao Wang and Julita Vassileva. 2007. Toward trust and reputation based web service selection: A survey. Int. Trans. Syst. Sci. Appl. 3, 2 (2007), 118--132.Google Scholar
- Michael Wenzel and Tyler G. Okimoto. 2010. How acts of forgiveness restore a sense of justice: Addressing status/power and value concerns raised by transgressions. Eur. J. Soc. Psychol. 40, 3 (2010), 401--417.Google Scholar
- Uri Wilensky. 1999. NetLogo. Retrieved from http://ccl.northwestern.edu/netlogo/.Google Scholar
- Yi Xie and Siqing Peng. 2009. How to repair customer trust after negative publicity: The roles of competence, integrity, benevolence, and forgiveness. Psychol. Market. 26, 7 (2009), 572--589.Google ScholarCross Ref
- Hong Zhang, HaiXin Duan, and Wu Liu. 2008. RRM: An incentive reputation model for promoting good behaviors in distributed systems. Sci. Chin. Ser. F: Inform. Sci. 51, 11 (2008), 1871--1882.Google ScholarCross Ref
Index Terms
- Improving the Efficiency of an Online Marketplace by Incorporating Forgiveness Mechanism
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