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Business Intelligence and Analytics: From Big Data to Big Impact
This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
A semiotic metrics suite for assessing the quality of ontologies
An ontological analysis of the relationship construct in conceptual modeling
This analysis uses ontology, which is the branch of philosophy dealing with models of reality, to analyze the meaning of common conceptual modeling constructs and derives rules for the use of relationships in entity-relationship conceptual modeling.
Design science in the information systems discipline: an introduction to the special issue on design science research
A Framework for Analysis of Data Quality Research
Using an analogy between product manufacturing and data manufacturing, this paper develops a framework for analyzing data quality research, and uses it as the basis for organizing the data quality literature.
Reverse Engineering of Relational Databases: Extraction of an EER Model from a Relational Database
A semantic-based approach to component retrieval
This research presents a semantic-based approach to component retrieval that makes use of domain models containing the objectives, processes, actions, actors, and, an ontology of domain terms, their definitions, and relationships with other domain-specific terms.
Central IT or Shadow IT? Factors Shaping Users' Decision to Go Rogue With IT
The paper finds that the form the shadow IT/central IT duality takes is based on perceptions of legitimacy of the Shadow IT by the organization and central IT; and the ability of user departments to procure IT independently.
Genres of Inquiry in Design-Science Research: Justification and Evaluation of Knowledge Production
This paper analyzes knowledge production in design-science research to explain how an endogenous form of pluralism characterizes such studies, making it problematic to associate any design- science study with a single view of knowledge production.