Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/32323
Title: PATTERN SEEKING AND SERVICE SYSTEM DESIGN DRIVEN BY FACT-BASED DECISION-MAKING
Authors: KONG QINGXIA
Keywords: Pattern Seeking, Service Operations, Fact-Based Decision Making, Benford's Law, Copostive Cones, Gambler's Fallacy
Issue Date: 19-Jan-2012
Source: KONG QINGXIA (2012-01-19). PATTERN SEEKING AND SERVICE SYSTEM DESIGN DRIVEN BY FACT-BASED DECISION-MAKING. ScholarBank@NUS Repository.
Abstract: The rapid development of Internet Technology has enabled convenient access to large amount of business transaction data and has advocated the era of "fact-based¿ decision making. An integrated ¿fact-based¿ decision-making process consists of three phases: data collecting, pattern-seeking, and performance. Motivated by the importance of understanding this process, I investigate three fundamental questions with focuses on different phases of the process. 1) Are there simple and universal patterns when people make choices? 2) How to utilize limited (insufficient) data to design a robust service system to ensure good performance under all possible situations? 3) How system design affects behavioral patterns? This dissertation adopts a multi-theoretic and multi-disciplinary approach to offer fresh insights on the "fact-based" decision-making. I investigate three topics to tackle these questions. The first topic models a universal choice rule: the small number phenomenon. The second topic solves a robust appointment scheduling problem using a parsimonious set of information on the consultation durations. The third topic explores how information complexity and pattern recognition affect the perception of randomness.
URI: http://scholarbank.nus.edu.sg/handle/10635/32323
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
KongQx.pdf1.17 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

297
checked on Dec 11, 2017

Download(s)

16
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.