Theory
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Theory
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Designing for Mutability in Information Systems Artifacts
Introduction
The nature of IS artifacts
IS and IT artifacts
From artifacts to semi-artifacts to semizoa
Towards design theory for semizoic artifacts
Kernel theories
Designing for mutability in semizoic artifacts
Implications for IS design theorising
Concluding remarks
Implications of the paper
Further research: semizoa as actors
References
The Effect of the Application Domain in IS Problem Solving
Introduction
Theoretical foundations
Theoretical framework of dual-task problem solving
The theory of cognitive fit
Theory on problem structure
Dual-task problem solving in well-structured problems
Implications of problem structure
Role of cognitive fit in dual-task problem solving of well-structured problems
Theoretical analysis of conceptual schema understanding
Dual-task problem solving in ill-structured problems
Implications of lack of problem structure
Role of cognitive fit in dual-task problem solving of ill-structured problems
Theoretical analysis of software maintenance
Operationalisation of the study and study findings
Discussion and implications
Discussion of the findings
Implications and future research directions
Conclusion
References
Towards a Unified Theory of Fit: Task, Technology and Individual
Introduction
Fit: theory and definition
The need for a theory of fit
Components of a theory and definition of fit
Fit defined
A fit taxonomy: the ATT-Fit framework
Defining the different types of fit
Performance and the ATT-Fit framework
A dynamic view of fit
Dynamic fit: an ecological psychology theory
Judgments of fit: implications for learning and systems change
Implications and conclusions
Theoretical contributions
Practical implications
References
Are Routine Manual Systems Genuine Information Systems?
Introduction
Definitions of information systems
Descriptions of systems
Causeway Cash Receipts System: a traditional information system
Qualities of traditional systems
Routine, manual systems
Qualities of routine, manual systems
Are all these systems information systems?
Fact: the first universal element
Transformation: the second universal element
Signal: the third universal element
Action: the fourth universal element
The universal features of information systems
Conclusion
References