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ISR Topic Selection & Journal Fit

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Evaluates and shapes research questions for Information Systems Research (ISR) by testing IT-artifact centrality, sociotechnical framing, and venue alignment.

ISR Topic Selection is a specialized academic skill designed to pressure-test and refine research questions for the prestigious Information Systems Research (ISR) journal. It guides authors through verifying IT-artifact centrality, ensuring sociotechnical co-constitution, bridging IS intradisciplinary silos, and selecting the optimal methodological genre. Additionally, it provides comparative audience scoring against neighboring elite outlets like MIS Quarterly, JMIS, and Management Science to ensure manuscripts target the right editorial board from day one.

Key Features

01Conducts comparative venue triage across ISR, MISQ, JMIS, and Management Science
02Evaluates intradisciplinary silo-bridging across behavioral, economic, and design paradigms
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04Validates IT-artifact centrality to avoid superficial IT-as-wallpaper framing
05Generates structured fit diagnostics with actionable blockers and next-step recommendations
06Assesses sociotechnical co-constitution and level-of-analysis alignment

Use Cases

01Sanity-checking whether an empirical dataset or analytical model qualifies as authentic IS research
02Reframing IT-adjacent empirical studies so digital technology drives the theoretical mechanism
03Deciding whether to submit a manuscript to ISR versus MIS Quarterly, JMIS, or Management Science