Skill UI

A comprehensive guide for executing, evaluating, and reporting the empirical core of MIS Quarterly manuscripts. It covers specialized methods for Behavioral IS (PLS-SEM), Economics of IS (causal identification), Design Science (artifact evaluation), and qualitative studies, ensuring full transparency and replicability for top-tier academic submissions.

A comprehensive guide for structuring and defending the methodology section of an academic manuscript, particularly for MIS Quarterly submissions. It helps researchers choose the appropriate design (Behavioral, Design Science, Economics of IS, Organizational) and addresses critical methodological rigor, such as causal identification, common-method bias, and thorough evaluation planning.

This guide provides comprehensive best practices for creating self-contained, impactful tables and figures specifically for submissions to the MIS Quarterly journal. It covers different research traditions (Behavioral, Design Science, Econ of IS) and focuses on managing the strict page budget, ensuring every exhibit powerfully supports the core argument and meets high academic standards (APA 7).

A comprehensive guide for academic researchers preparing submissions for top-tier Information Systems journals like MIS Quarterly. It helps validate if a research idea is genuinely IT-centric, assigns it to one of the four core IS traditions (Behavioral, Design Science, Economics, Organizational), and selects the optimal manuscript genre to ensure scope and fit for publication.

This workflow serves as a comprehensive router for authors preparing manuscripts for the MIS Quarterly (MISQ). It guides researchers through the entire academic writing lifecycle, ensuring systematic development from initial topic selection and identifying the core IS research tradition (behavioral, design science, economics, or organizational). It maps out the necessary sequence of steps, including theory development, literature positioning, methodology, data analysis, contribution framing, and final submission readiness.

A comprehensive skill guide for authors targeting Nature Human Behaviour. It assesses the fit of cross-disciplinary behavioral science manuscripts across psychology, neuroscience, economics, and sociology. The guide emphasizes open science practices, including preregistration, large-N designs, causal inference, and mandatory data transparency, ensuring submissions meet the journal's rigorous standards.

A comprehensive guide for conducting and reporting rigorous experimental research in social and behavioral sciences. It covers various design types (vignette, lab, field), statistical requirements (effect sizes, power analysis), quality control measures (manipulation checks, confound control), and advanced techniques for establishing causality, ensuring high internal validity for academic publication.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.

This guide assists researchers in selecting the most appropriate and rigorous methodology for Production and Operations Management (POM) manuscripts. It covers various research tracks, including analytical modeling, stochastic process theory, game theory, causal empirical identification (DiD, IV, RD), behavioral experiments, simulation, and operations data science (ML/forecasting). It ensures the research method is tightly linked to the core operational question and possesses significant practical value.