연결

Information Systems Research Journal Fit & Submission

brycewang-stanfordbybrycewang-stanford
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학습 및 문서화

Evaluates manuscript fit, framing, and methodological rigor for Information Systems Research (ISR) submissions.

Information Systems Research Journal Fit & Submission provides targeted academic guidance for authors aiming to publish in INFORMS's flagship Information Systems Research (ISR) journal. It helps researchers evaluate manuscript scope across economics of IS, econometric behavioral studies, analytical modeling, and quantitative design science. By encoding the journal's rigorous identification standards, theoretical contribution bars, house style guidelines, and common desk-reject heuristics, this skill ensures manuscripts are properly positioned and structured for a quantitative IS audience, while offering alternative journal re-routing suggestions when appropriate.

주요 기능

011,079 GitHub stars
02Evaluates manuscript positioning against ISR's scope and quantitative IS audience expectations
03Checks methodological rigor for econometric identification, analytical modeling, and design science
04Identifies common desk-reject triggers like missing IS theoretical contributions or endogeneity issues
05Recommends intelligent re-routing options to other AIS Basket or INFORMS journals
06Provides pre-submission self-checks for house style, electronic companions, and data/code policies

사용 사례

01Selecting alternative venues across the AIS Senior Scholars' Basket of Eight or INFORMS journals
02Determining if a quantitative or analytical IS paper meets the theoretical and empirical threshold for ISR
03Screening an academic manuscript for potential desk-reject vulnerabilities before formal submission