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University of Illinois at Urbana-Champaign

Strategic management of operational resources under uncertainty

Abstract

dc:description

This dissertation addresses and answers two questions: (1) What are the impacts of market uncertainty and technological uncertainty? (2) What is the best way for a firm to manage demand information and technological knowledge in the face of competition? The first essay (Chapter 2) investigates a problem of competitive investment with payoff externalities and uncertain but partially observable profitability. This essay examines a duopoly game, which, under appropriate conditions, reduces to a war of attrition game in the sense that both firms have incentives to be the follower. We find that due to the strategic interactions, payoff externalities and learning opportunities have counterintuitive effects on investment strategies and on the time to the first investment. In particular, we find that an increase in the rate of learning, which usually benefits the follower, may hasten or delay the first investment depending on the rate of learning and the prior probability that the investment is profitable. Overall, the results of this chapter suggest that firms facing entry into an unproven market need to consider the strategic effects arising from learning and externalities. The second essay (Chapter 3) investigates the strategy of investment in R&D projects when completion time of R&D is uncertain. By examining a game theoretic model of two firms competitively engaged in R&D projects, we find that the more innovative firm may or may not have an incentive to unilaterally share technological knowledge with its opponent; the result de- pends on the more innovative firm's tradeoff between reduction of competitive pressure and reduction of the competitor’s imitation. A direct implication of this result is that a firm may achieve superior performance by strategically managing its technological knowledge without incurring cost. The third essay (Chapter 4) investigates a problem of competitive investment in R&D projects to examine (1) the impacts of uncertainties and (2) the strategies of managing demand information and technological knowledge. We find that market uncertainty can improve or diminish a firm's payoff due to strategic interactions between firms and the interplay of learning effects and externalities. Our results also indicate that technological uncertainty can alter the relationship between the time to completion and the fierceness of competition. More specifically, we find that an increase in the time to completion may or may not increase the fierceness of the competition. Lastly, this essay compares the impact of disclosing demand information and that of disclosing technological knowledge. The results show that disclosing technological knowledge can only improve a firm's ex-ante payoff, whereas disclosing demand information can improve both the ex-ante and ex-post payoffs. Hence, our results indicate that the disclosed contents and the time to disclose are important when firms consider voluntary disclosure to reduce competition.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Business Administration
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Xu, Wenxin
Contributors dc:contributor
  • Kwon, H. Dharma
  • Petruzzi, Nicholas C.
  • Mahoney, Joseph T.
  • Engelbrecht-Wiggans, Richard
  • Agrawal, Anupam

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2016 Wenxin Xu
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/95444
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/95444

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Xu, Wenxin. Strategic management of operational resources under uncertainty. Dissertation thesis, University of Illinois at Urbana-Champaign, 2017. http://hdl.handle.net/2142/95444