Modeling and analyzing information usage in supply chains
Abstract
This dissertation is motivated by the impact that information shared and information used
on supply chain integration. Specifically, information sharing has changed the way supply chain
members interact with each other. For example, suppliers have gone beyond tracking, material
flow and started to receive customer information to advance their process, forecast, and better
manage production, and inventory activities towards improved performance while considering the
relationship management among the members of the chain.
The objective is to study the importance of information usage and holistically investigate
the relationships among information usage and different performances. For this purpose, we
develop and analyze two models and one theoretical approach: the first one utilizes organizational
learning theory and focuses on the relationships among information shared, information used,
operational performance, and organizational performance along with mediating impacts of
information usage, and perceived logistics performance. The second model put emphasis on the
relationships among relational integration such as normative, and instrumental relationships,
information sharing, information usage, and supplier performance by utilizing social exchange
theory, and resource dependence theory. The third one which is a theoretical approach introduce
the application of Kirchhoff’s current, and voltage laws to any supply chain network in order to
measure the amount of information shared and used between members of the supply chain towards
computing supply chain power.
Description
Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Industrial, Systems and Manufacturing Engineering