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You searched for subject:(reputation dynamics). Showing records 1 – 2 of 2 total matches.

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University of Southern California

1. Yu, Haojun. Three essays on agent’s strategic behavior on online trading market.

Degree: PhD, Economics, 2015, University of Southern California

Online trading market plays a more and more important role in today’s economic activities. Its success in business is not possible with the design of trading platforms. As an attempt to boost transaction, platforms like Amazon or eBay in US, Alibaba in China, etc. designed tools to reveal seller’s reliability, facilitate communication between sellers and buyers, deliberate the display of products, etc. This thesis looks at some of the online trading platform’s design and its implication on buyer and seller’s choice as well as the platform’s profit. The analysis contains both theoretical and empirical work. ❧ The first chapter looks at the design of platform’s quality signaling, often referred to as the reputation system. I look at Alibaba’s platform where both centralized and decentralized quality signals are used. In the chapter, I empirically examine how consumers interpret the quality signals and make purchasing decisions based on beliefs of product quality. Specifically, I examine whether different quality signals work as substitute or compliments. The demand is estimated both in the game-theoretic framework and non-game-theoretic framework. ❧ The second chapter looks at the platform’s design of reputation system on participating seller’s pricing strategy. From previous chapter and earlier literature, we know buyers are more likely to buy from high rating scores sellers, but sellers’ behavior to affect rating scores is less clear. In this paper, I take advantage of Alibaba’s unique design of rating scores system for identification. The design awards sellers both on quality and sales: given quality or probability of receiving good ratings, the more the sellers sale, the faster they can accumulate rating scores. Based on this observation, I build a single agent dynamic pricing model to capture the sellers’ incentive to manage rating scores. The seller’s pricing affect both current period profit and rating scores in the future. As a result, sellers are willing to undercut prices for rating scores dynamic concerns. Besides, for estimation, sellers are assumed to have two types of service quality. The mixed type model is estimated by nested fixed point algorithm. I confirm that demand is shifted to sellers with high rating scores and having more sales can accelerate rating score accumulation, implying sellers have incentive to manage rating scores. From counter factual analysis, the prices will be 0.1-1% higher if the sellers do not care rating score dynamics. The findings confirm the effectiveness of Alibaba’s design of its rating score system. ❧ The third chapter looks at the platform’s arrangement to display products of asymmetric fitness. This is a coauthered paper with Lin Liu. We are interested in how the display order will affect consumer’s choice, participating seller’s competition and the platform’s profits. Being placed on top will give the product some advantage of being chosen. Specifically, we found it is not always beneficial to display high fitted product first, due to the competitive effect. As products are… Advisors/Committee Members: Tan, Guofu (Committee Chair), Ridder, Geert (Committee Member), Dukes, Anthony (Committee Member).

Subjects/Keywords: platform design; reputation dynamics; display order; search; pricing; Alibaba

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, H. (2015). Three essays on agent’s strategic behavior on online trading market. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/599843/rec/7461

Chicago Manual of Style (16th Edition):

Yu, Haojun. “Three essays on agent’s strategic behavior on online trading market.” 2015. Doctoral Dissertation, University of Southern California. Accessed October 20, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/599843/rec/7461.

MLA Handbook (7th Edition):

Yu, Haojun. “Three essays on agent’s strategic behavior on online trading market.” 2015. Web. 20 Oct 2020.

Vancouver:

Yu H. Three essays on agent’s strategic behavior on online trading market. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Oct 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/599843/rec/7461.

Council of Science Editors:

Yu H. Three essays on agent’s strategic behavior on online trading market. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/599843/rec/7461


University of Colorado

2. Schenk, Christopher Brendan. Finding event-specific influencers in dynamic social networks.

Degree: MS, Computer Science, 2010, University of Colorado

Reputation models are widely in use today in commercial transaction (ebay), product review (amazon, epinions), and news commentary websites (slashdot). The purpose of these reputation models is to provide behavioral or informational data for future users to determine whether or not he or she will trust the data. These models are dependent on explicit feedback mechanisms where users rate product, other users, or information. However, for many popular social network information sources on the web, no such explicit feedback systems exist where users rate information in order for consumers of this information to be able to judge the trustworthiness of the data source or the data itself. Here I describe the layers of the problem of determining reputation among users or data during events discussed on social networks, and evaluate data and network analysis methods from varying disciplines that may implicitly infer user or data reputation based on metadata, user relationships and user actions in social networks. I demonstrate that the HITS algorithm is not effective at finding influential users, and propose a new algorithm and demonstrate its effectiveness for finding influential users during an event. Advisors/Committee Members: Douglas C Sicker, Qin Lv, Aaron Clauset.

Subjects/Keywords: dynamics; influencers; reputation; social networks; Computer Sciences; Numerical Analysis and Scientific Computing; OS and Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schenk, C. B. (2010). Finding event-specific influencers in dynamic social networks. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/6

Chicago Manual of Style (16th Edition):

Schenk, Christopher Brendan. “Finding event-specific influencers in dynamic social networks.” 2010. Masters Thesis, University of Colorado. Accessed October 20, 2020. https://scholar.colorado.edu/csci_gradetds/6.

MLA Handbook (7th Edition):

Schenk, Christopher Brendan. “Finding event-specific influencers in dynamic social networks.” 2010. Web. 20 Oct 2020.

Vancouver:

Schenk CB. Finding event-specific influencers in dynamic social networks. [Internet] [Masters thesis]. University of Colorado; 2010. [cited 2020 Oct 20]. Available from: https://scholar.colorado.edu/csci_gradetds/6.

Council of Science Editors:

Schenk CB. Finding event-specific influencers in dynamic social networks. [Masters Thesis]. University of Colorado; 2010. Available from: https://scholar.colorado.edu/csci_gradetds/6

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