JAIS Research Design & Methods

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Guides the selection, design, and defense of research methodologies for Journal of the Association for Information Systems (JAIS) submissions.

The jais-methods skill assists information systems researchers in selecting, structuring, and defending study designs tailored to the Journal of the Association for Information Systems (JAIS). Built to navigate JAIS's methodological pluralism, it ensures that your chosen approach—whether a behavioral survey/experiment, an economics-of-IS causal identification strategy, a design-science build-and-evaluate cycle, or an interpretive qualitative investigation—directly aligns with your core claims. It helps authors articulate their epistemological stance, design out validity threats like common-method bias before data collection, plan benchmarked DSR evaluations, and satisfy rigorous cross-paradigm reviewer standards.

Key Features

01Matches research claims to fitting methodologies across behavioral, econometric, design science, and qualitative paradigms
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03Designs procedural remedies for common-method bias and construct validity threats prior to data collection
04Formulates robust identification strategies for IS economics using modern staggered DiD, IV, and RD approaches
05Establishes rigorous evaluation frameworks and comparative baselines for design science IT artifacts
06Clarifies epistemological stances and traceable data-to-construct audit trails for qualitative and interpretive work

Use Cases

01Defending empirical research designs and identification strategies against cross-paradigm JAIS reviewers
02Designing multi-wave surveys or behavioral experiments to proactively address measurement and validity threats
03Structuring evaluation benchmarks and kernel theories for design-science IT artifact submissions