Dynamic interaction: A measurement development and empirical evaluation of Knowledge Based Systems and Web 2.0 decision support mashups
Brandon Alan Beemer, University of Colorado at Denver, United States
University of Colorado at Denver . Awarded
The research presented in this dissertation focuses on the organizational and consumer need for knowledge based support in unstructured domains, by developing a measurement scale for dynamic interaction. Addressing this need is approached and evaluated from two different perspectives. The first approach is the development of Knowledge Based Systems (KBS) designed to operate in unstructured domains. By meshing the system attributes of KBS and Decision Support Systems (DSS), researchers and developers have begun designing KBS for unstructured domains that tract with the user's iterative decision process and allow the user to evaluate alternative solutions. The second approach to providing knowledge support in unstructured domains is through knowledge synthesization. The latest trend in Web 2.0 research focuses on mashup applications that are designed to synthesize knowledge by semantically connecting disjointed information and knowledge sources (Blake and Nowlan, 2008).
The focus of this dissertation is on developing and empirically evaluating a new IS construct that can be used by researchers to quantify dynamic interaction. Dynamic interaction is empirically evaluated in two IS domains: KBS and eCommerce mashups. The nomological net of dynamic interaction is initially quantified in the KBS domain, and then is expanded from evaluating this new construct in the mashup domain.
This dissertation consists of two parts and four chapters. The first part is titled "Knowledge Based System's Support of Unstructured Domains Through Dynamic Interaction" and has two chapters that cover KBS designed for unstructured domains by including dynamic interaction. The 1st chapter is titled "Knowledge Based Systems to Support Unstructured Decisions: A Literature Review" and provides a literature review of recent KBS, of which are designed for unstructured domains and include an iterative user interface. The 2nd chapter is titled "Dynamic Interaction in Knowledge Based Systems: An Exploratory Investigation and Empirical Evaluation". This study empirically investigates the KBS discussed in the previous chapter, which are designed for unstructured domains and include dynamic interaction.
The second part of the dissertation is titled "Decision Support Mashups—Knowledge Synthesization Through Dynamic Interaction" and is composed of two chapters that discuss knowledge synthesization in unstructured domains through dynamic interaction in mashups. The 3rd chapter is titled "Mashups: A Literature Review and Classification Framework". It presents a mashup literature review, a mashup classification framework, and provides a literary foundation for the final chapter of the dissertation. The final and 4th chapter is titled "Decision Support Mashups in Unstructured Domains: An Empirical Evaluation of Dynamic Interaction" and performs an empirical evaluation of dynamic interaction in decision support mashups.
Beemer, B.A. Dynamic interaction: A measurement development and empirical evaluation of Knowledge Based Systems and Web 2.0 decision support mashups. Ph.D. thesis, University of Colorado at Denver. Retrieved March 19, 2019 from https://www.learntechlib.org/p/123845/.
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