DESIGN SCIENCE IN INFORMATION SYSTEMS RESEARCH

Erik Castro
Mind Map by Erik Castro, updated more than 1 year ago
Erik Castro
Created by Erik Castro over 6 years ago
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Description

DESIGN SCIENCE IN INFORMATION SYSTEMS RESEARCH

Resource summary

DESIGN SCIENCE IN INFORMATION SYSTEMS RESEARCH
  1. Design Science
    1. is a process (set of activities)
      1. build
        1. evaluate
        2. and a product (artifact)
          1. evaluation of the artifact provides feedback information
            1. a better understanding of the problem
              1. to improve both the quality and the design process
              2. constructs, models, methods, and instantiations
              3. It describes the world as acted upon (processes) and the world as sensed (artifacts)
              4. essential alignments between business and information technology strategies and between organizational and information systems infrastructures
                1. Behavioral Science
                  1. addresses research through
                    1. development and justification
                  2. framework for understanding, executing, and evaluating IS research
                      1. it combines behavioral-science and design-science paradigms
                    1. Guidelines for Design Science in Information Systems Research
                      1. Design as an Artifact
                        1. Problem Relevance
                          1. Design Evaluation
                            1. Research Contributions
                              1. Research Rigor
                                1. Design as a Search Process
                                  1. Communication of Research
                                  2. Cases
                                    1. The Design and Implementation of Anonymity in GDSS: Gavish and Gerdes
                                      1. A Workflow Language for Interorganizational Processes: Aalst and Kumar
                                        1. Design as a Search Process
                                          1. authors build 13 basic constructs into XRL
                                          2. Problem Relevance
                                            1. there is still no clear standard for exchanging business process information (e.g., workflow models).
                                            2. Research Rigor
                                              1. The design of XRL is based upon Petri nets
                                              2. Design as an Artifact
                                                1. workflow language XRL is designed
                                                  1. the XRL/flower workflow management architecture in which XRLdescribed processes are executed
                                                    1. Wolfan that verifies the soundness of business process workflows
                                                    2. Design Evaluation
                                                      1. XRL is compared and contrasted with languages
                                                        1. The fit of XRL with proposed standards is studied
                                                          1. A research prototype of XRL/flower is implemented
                                                            1. XRL workflows can be verified for correctness and performance
                                                            2. Research Contributions
                                                              1. a workflow language), XRL/flower (a workflow architecture and its implemented prototype system)
                                                              2. Research Communication
                                                                1. technical and managerial audiences
                                                                  1. strong introduction on risks and benefits of applying interorganizational workflows
                                                                2. Information Systems Design for Emergent Knowledge Processes: Markus, Majchrzak, and Gasser
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