Thesis (doctoral) - Otto Beisheim School of Management, Vallendar, 2006. / Includes bibliographical references (p. [271]-309).

Yau Man-Kuen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 222-234). / Abstracts in English and Chinese. / Chapter Chapter 0 --- Introduction --- p.1 / Chapter PART A: --- Logistics in Hong Kong 一 Overview and Prospects / Chapter A.1 --- Study Objectives --- p.3 / Chapter A.2 --- Methodology --- p.4 / Chapter A.3 --- What is Logistics? --- p.4 / Chapter A.3.1 --- Major Trends --- p.6 / Chapter A.4 --- Key Features of the Logistics in Hong Kong & China --- p.8 / Chapter A.4.1 --- China Industry --- p.8 / Chapter A.4.2 --- National Developments in China --- p.13 / Chapter A.4.3 --- Hong Kong Industry --- p.16 / Chapter A.5 --- Growth Trends & Statistics for Hong Kong --- p.25 / Chapter A.6 --- Competitive Analysis for Hong Kong as a Logistics Hub --- p.45 / Chapter A.6.1 --- Current Industry Strengths --- p.45 / Chapter A.6.2 --- Current Industry Weaknesses --- p.46 / Chapter A.6.3 --- Competitiveness Challenges --- p.47 / Chapter A.6.4 --- Future Opportunities --- p.51 / Chapter A.7 --- Changing Conditions and Infrastructure Needs --- p.54 / Chapter A.7.1 --- Trade --- p.54 / Chapter A.7.2 --- Technology --- p.56 / Chapter A.7.3 --- Investment --- p.56 / Chapter A.7.4 --- Human Resources --- p.57 / Chapter A.7.5 --- Government and Regulation --- p.58 / Chapter A.8 --- Recommendations --- p.61 / Chapter A.9 --- Conclusions --- p.64 / Chapter A.10 --- Future Work --- p.65 / Chapter PART B: --- Inventory Management with Advance Ordering / Chapter Chapter B.1 --- Introduction --- p.66 / Chapter B.1.1 --- Overview --- p.66 / Chapter B.1.2 --- Literature Review --- p.69 / Chapter Chapter B.2 --- Model Formulation --- p.72 / Chapter B.2.1 --- Introduction --- p.72 / Chapter B.2.2 --- Mathematical Model --- p.74 / Chapter B.2.3 --- Preliminaries --- p.76 / Chapter B.2.4 --- Table of variables --- p.77 / Chapter Chapter B.3 --- Study of Window Size0 --- p.79 / Chapter B.3.1 --- Introduction --- p.79 / Chapter B.3.2 --- Mathematical Model --- p.79 / Chapter B.3.3 --- Proof of Window Size0 --- p.81 / Chapter Chapter B.4 --- Study of Window Size1 --- p.94 / Chapter B.4.1 --- Introduction --- p.94 / Chapter B.4.2 --- Mathematical Model --- p.95 / Chapter B.4.3 --- Optimal Ordering Policy for Window Size1 --- p.95 / Chapter B.4.4 --- Special Case of Uniformly Distributed Demand --- p.109 / Chapter B.4.5 --- Discussion of Fukuda's Paper --- p.114 / Chapter Chapter B.5 --- Simulation Study of Window Size1 --- p.120 / Chapter B.5.1 --- Simulation Models --- p.120 / Chapter B.5.2 --- Simulation Program Structure --- p.126 / Chapter B.5.3 --- Simulation Numerical Analysis --- p.131 / Chapter Chapter B.6 --- Simulation Study of Window Size K --- p.172 / Chapter B.6.1 --- Simulation Models --- p.172 / Chapter B.6.2 --- Simulation Program Structure --- p.179 / Chapter B.6.3 --- Simulation Numerical Analysis --- p.181 / Chapter Chapter B.7 --- Conclusion and Further Studies --- p.201 / Appendix (PART A) --- p.204 / Appendix (PART B) --- p.208 / Bibliography (PART A) --- p.222 / Bibliography (PART B) --- p.229

Supply chain resilience refers to the capability of a supply chain to both withstand and adapt to unexpected disturbances. In today's turbulent business environment, firms are continually seeking to create more resilience within their supply chain through increased information communication technology use and enhanced business-to-business relationships. The focus of this dissertation is the investigation of how information communication technology creates resilience at the differing process levels of supply chain operations. Past research into information communication technology use within supply chains has often been conducted at the macro-level of supply chain phenomena. As such, there is still much to understand about how decision-makers interact with information communication technology at the micro-level of supply chain decision-making. A more in-depth, broad coverage of this interaction will provide both practitioners and academics a better understanding of how to leverage information communication technology in achieving supply chain resilience. To meet this aim, this dissertation contains three essays that re-orient conceptual thinking about supply chain phenomenon, explore how advances in information communication technology influence business-to-business relationships, and identify how information communication technology effects the decision-making of supply chain managers.

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

The interaction among firms in the supply chain is necessary for business process execution and relationship success. One phenomenon of great significance to buyer-supplier relationships is opportunism. Opportunism is defined as behavior that is self-interest seeking with guile. It is manifested in behaviors such as stealing, cheating, dishonesty, and withholding information. Opportunism negatively impacts relational exchange tenets such as trust, commitment, cooperation, and satisfaction. Furthermore, perceptions of opportunism negatively affect firm performance. In lieu of the known negative effects of opportunistic behavior on buyer-supplier relationships, why do agents continue to engage in opportunistic tactics with their exchange partners? A comprehensive examination is necessary in order to understand why sourcing professionals engage in acts of opportunism. Understanding why opportunism occurs will reveal how to deter it, and this remains a gap in the literature. Based on theories in economics, marketing channels, supply chain management, decision science, and psychology, a comprehensive model tested a set of factors hypothesized to drive the use of opportunistic tactics. Factors include buyer-supplier relationship-specific factors, environmental factors, individual personality-related factors, and situational factors. Data was collected via internet survey of sourcing professionals from private industry and government agencies. Common to many studies of ethics, respondents made choices based on two hypothetical vignettes. Two logistic regression models were used to test the hypotheses. Factors found to affect buyer opportunism included buyer power, corporate ethical values, pressure to perform, leadership opportunism, business sector, honesty/integrity, and subjective expected utility. This research contributes to theory by combining several disparate theories to best explain opportunism. A comprehensive evaluation should determine which theory explains the most variance in decision making. The study contributes to practice by identifying those important factors contributing to a sourcing professional's decision to use opportunistic tactics. The ability to manage these factors should improve the probability of relationship success. Additionally, the identification of these factors should help leaders to make more accurate estimates of transaction costs - key knowledge required to make an informed make or buy governance decision.