Graduation Semester and Year

2021

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Management Science

Department

Information Systems and Operations Management

First Advisor

Kay-Yut Chen

Abstract

In the first chapter, we investigate the loss aversion behavior in service procurement auction. We study and compare two mechanisms, i.e., the percentage reimbursement policy and flat reimbursement policy to improve buyer's expected utility. In the second chapter, we analyze the trust behavior in a supply chain within a "cheap-talk" communication environment. We find that under the right conditions, an untrustworthy retailer can manipulate a trusting supplier, which reduces the double marginalization problem, and benefits the supply chain. In the last chapter, we study the trust and trustworthiness behaviors of AI agents in the trust Game. This paper finds that "human-like" trust and trustworthiness can emerge in Artificial intelligence from an interactive learning process.

Keywords

Behavior, Supply chain, Procurement, Artificial intelligence

Disciplines

Business | Management Information Systems

Comments

Degree granted by The University of Texas at Arlington

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