Skill UI

A comprehensive tool for sanity-checking research questions intended for Information Systems Research (ISR). It guides users to test the topic's fitness across four dimensions: IT-artifact centrality, sociotechnical framing, intradisciplinary potential, and level of analysis. It helps determine if the topic belongs in ISR or neighboring venues like MISQ or JMIS.

A comprehensive guide for authors submitting to top-tier academic journals, particularly the Journal of Management Information Systems (JMIS). It instructs authors on how to translate empirical or analytical results into a clear, dual-payload contribution that advances the technology–organization–economics nexus, ensuring the finding has both theoretical depth and practical manager relevance.

This guide provides a rigorous methodological checklist for conducting data analysis suitable for top-tier academic journals, such as JMIS. It covers advanced techniques across econometrics (addressing identification and endogeneity), behavioral modeling (SEM/PLS, common-method bias), and ML/analytics, ensuring that research findings meet the highest standards of robustness and theoretical grounding.

A comprehensive guide for researchers submitting to top-tier IS journals (e.g., JMIS). It teaches authors how to effectively reposition their work, ensuring the contribution advances a specific IS-management/economics conversation rather than being viewed as a mere technical finding from a reference discipline. Learn to frame the scholarly gap as a tension or contradiction, name the specific academic stream, and engage with the core IS literature.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.

This comprehensive guide provides a detailed strategy for authors drafting a formal, point-by-point rebuttal letter following major or minor journal revisions. It teaches how to address deep-seated concerns—such as contribution, identification, and robustness—by ensuring the response is highly evidence-based, structured for quick adjudication, and meets the stringent standards of top-tier academic publishing.

A comprehensive guide for authors navigating the JMIS editorial process. It explains the EIC-led, double-anonymized review structure, detailing how to interpret critical feedback related to identification, construct validity, and scope. This resource helps set realistic expectations regarding submission posture, revision strategies, and expected timelines, helping authors differentiate fatal framing issues from fixable evidence gaps.

A comprehensive preflight checklist for authors submitting manuscripts to the Journal of Management Information Systems (JMIS). This guide details crucial steps for successful submission, including full double-blind anonymization techniques, specific formatting rules (≤50 pages, ≤150-word abstract), numbered referencing style, and the unique EIC email intake process. It ensures the manuscript package meets all requirements for initial double-blind review.

Provides comprehensive guidelines for structuring, formatting, and interpreting tables and figures (exhibits) for high-stakes academic manuscripts. It ensures that statistical results are self-contained, focusing on conveying economic magnitude and maintaining a clear logical flow, while strictly adhering to journal page budgets and specialized evidence types (e.g., econometrics, SEM).

This comprehensive guide helps researchers move beyond descriptive correlations to build rigorous, theory-driven manuscripts for top-tier IS journals. It outlines how to structure theoretical arguments based on specific research styles, including IT business value mechanisms, platform economics, behavioral models, and economic incentives, emphasizing the derivation of hypotheses and comparative statics before empirical testing.

Guides researchers in determining if their IS-related research question is suitable for the Journal of Management Information Systems (JMIS). It helps shift the focus from purely technical or CS contributions to the managerial, economic, and organizational value of technology, focusing on the technology–organization–economics nexus. Ideal for pre-writing selection and ensuring fit before deep theory work.

This router is designed to guide authors through the entire lifecycle of a manuscript intended for the Journal of Management Information Systems (JMIS). It helps diagnose current bottlenecks and determines the optimal next step, covering topics from initial idea fit and theory development to methodology, data analysis, writing refinement, and submission/rebuttal preparation. It is tailored to JMIS’s specific focus on the management and economics of IS.