Skill UI

This skill guides researchers in determining the suitability of their social science, economics, or management manuscript for submission to *Management World*. It provides detailed guidance on journal positioning, required structural elements (focusing on Chinese institutional context and actionable policy advice), and outlines common pitfalls and necessary revisions before formal submission.

This skill helps authors assess the suitability of their quantitative marketing, econometrics, or industrial organization (IO) paper for the Marketing Science journal. It outlines the journal's high standards, focusing on rigorous formal contributions, credible identification, and appropriate structural framing. Use this tool for pre-submission self-checking, understanding the required methodology bar, and deciding on the best academic venue.

This guide details how to conduct rigorous, reproducible numerical simulations for mathematical finance research. It emphasizes that numerical experiments must strictly support a theoretical theorem (e.g., convergence rates, error bounds) rather than performing empirical data fitting. Learn how to properly specify schemes, report theoretical vs. empirical error rates, and maintain full reproducibility to meet high academic standards.

A comprehensive guide for authors writing mathematical finance manuscripts. It specifies the rigorous standards for presenting figures, numerical tables, algorithms, and dependency maps, ensuring every visual exhibit supports a formal theorem or proposition. It advises on reporting numerical settings, avoiding empirical claims, and structuring evidence to aid theoretical comprehension rather than serving as standalone proof.

A detailed guide for researchers tackling advanced financial-mathematics problems. It outlines the stringent criteria for suitability in top-tier journals, emphasizing methodological novelty, mathematical rigor, and deep theoretical contribution (e.g., stochastic analysis, structural theorems) over routine data computation. Use this to refine and scope your research proposal.

A comprehensive guide for executing and reporting advanced analysis for high-level academic manuscripts, particularly in management science. It mandates rigorous verification across two lanes: the analytical lane (proving theorems and comparative statics) and the empirical lane (identifying and estimating causal effects using methods like DiD, IV, and RDD). It emphasizes adherence to Data-and-Code-Disclosure policies, ensuring all results are reproducible, verifiable, and meet high methodological standards.

A comprehensive preflight checklist for authors submitting manuscripts to Management Science (INFORMS). It systematically verifies adherence to crucial publishing standards, including double-anonymization, author-year formatting, abstract length constraints, fee/waiver eligibility, and the mandatory Code and Data Disclosure package using an AsCollected URL. Use this guide right before final submission to ensure maximum readiness.

This guide details best practices for generating self-contained, high-impact exhibits (tables and figures) for academic journals, particularly those with strict page limits like Management Science. It instructs users on structuring both theoretical proofs (analytical lane) and empirical results (e.g., regression coefficients, event-study plots) to ensure the findings are immediately readable and persuasive, even without reading the main text.

A comprehensive guide for structuring the theoretical core of academic papers in Management Science. It covers two main approaches: developing formal analytical models (assumptions, propositions, comparative statics) or generating robust empirical hypotheses based on explicit mechanisms. The goal is always to derive decision-relevant, cross-departmental insights.

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).