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|Title: ||Automatic structural knowledge integration in group problem formulation|
|Other Titles: ||Qun zu wen ti jie ding zhong de zi dong jie gou xing zhi shi ji cheng|
|Authors: ||Hao, Jinxing (郝金星)|
|Department: ||Department of Information Systems|
|Degree: ||Doctor of Philosophy|
|Issue Date: ||2008|
|Publisher: ||City University of Hong Kong|
|Subjects: ||Conceptual structures (Information theory)|
Knowledge representation (Information theory)
Group problem solving.
|Notes: ||CityU Call Number: Q387.2 .H36 2008|
viii, 186 leaves : ill. 30 cm.
Thesis (Ph.D.)--City University of Hong Kong, 2008.
Includes bibliographical references (leaves 155-169)
|Abstract: ||The study aims to design and evaluate a new IT artifact, Automatic Structural
Knowledge Integration (ASKI), to enhance the effectiveness of the knowledge
integration process in group problem formulation.
Structural knowledge describes how concepts within a domain are cognitively
interrelated. It can be well represented by causal map, which is basically comprised of
nodes and links to reflect cause-effect relations between concepts. Structural
knowledge integration, an important type of knowledge integration, is defined as the
synthesis of individuals’ specialized structural knowledge into situation-specific
Prior research suggests that knowledge integration contributes mostly to
organizational value creation. However, there is little research to detect its micro-level
mechanisms from the cognition point of view. In this study we try to fill the gap by
designing an IT artifact and evaluating its effect in the context of group problem
formulation. Group problem formulation as a typical knowledge-intensive process
relies heavily on the structural knowledge integration.
Following the philosophy of design science, the study consists of a design phase
and an evaluation phase. In the design phase, the study reviews the current research on
knowledge integration in group problem formulation. Then the study proposes the
formalism of the ASKI based on Sowa’s Cognitive Graph Theory and causal mapping
techniques. Informed by ontology technology, the study also fine-tunes several
algorithms to compute the semantic similarity among concepts to implement the ASKI.
The final system, with ASKI-supported modules, is called the Ontology-based Knowledge Integration System, which has the potential to be further developed to be a
real commercial product.
In the evaluation phase, we refine the research questions into several hypotheses
that can be empirically tested in experimental settings. The experiment design and
measures are based on prior studies and a four-round pilot study. 144 business
students in 36 groups participated in the main study. The results show strong support
to the positive effect of ASKI on effectiveness of group problem formulation in terms
of individuals’ divergent and convergent thinking, as well as group’s coverage of
critical issues and consensus.
The study makes significant contributions to both the academic and industry
fields. For academia, it is typical design science research, capturing both the technical
and social aspects of information systems. From the knowledge engineering aspect,
the study formalizes the causal map based structural knowledge integration and
extends the field from syntactic integration to semantic integration. From the
knowledge management point of view, the study not only evaluates the new IT artifact
on individual and group performance, but also explains the cognitive impacts of
knowledge integration. For industry, the ASKI prototype system can be used in
practice and has the potential to be transformed to or integrated with commercial
information systems. It presents important implications to the advancement of group
support systems and organizational memory information systems.|
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b2340680|
|Appears in Collections:||IS - Doctor of Philosophy |
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