Skill UI

A comprehensive guide for designing, auditing, and reporting reliable robotic experiments, particularly for major conferences like IROS. It moves beyond simple success rates, detailing how to map every claim to verifiable evidence (trials, simulations, field data). Key areas covered include defining pre-set success criteria, reporting failure taxonomies, ensuring fair baselines, and quantifying the critical sim-to-real gap using advanced small-n statistical methods.

A comprehensive guide for revising technical papers, specifically tailored for submission to top-tier robotics conferences like IROS. It teaches how to restructure narratives from 'demo-speak' to quantitative, evidence-based claims, focusing on a task-first opening, integrated system description, and mandatory figure-first presentation within strict page budgets.

This guide helps authors structure their academic paper's contribution statement for journals like JAMS. It emphasizes the mandatory dual mandate: developing both a consequential theoretical understanding and a concrete, quantifiable managerial action. Use this skill when your results are strong, but you need to clearly articulate the 'so what' for both academia and industry, particularly when facing 'incremental' critiques.

A comprehensive guide for authors submitting manuscripts to cross-disciplinary journals (e.g., Economics and Geography). It details how to anticipate and pre-emptively address systematic objections from two distinct scholarly communities, ensuring the paper satisfies both rigorous quantitative methods and deep spatial theory. Use this when your work bridges two fields and needs to survive double-anonymous review.

A comprehensive guide for authors publishing in economic geography journals, detailing how to structure manuscripts to satisfy both economic and geographical communities. It provides methodological advice on transitioning between formal NEG/quantitative-spatial models and conceptual/evolutionary frameworks, ensuring that the underlying mechanisms and assumptions are transparent and testable.

This guide provides detailed instructions for polishing academic manuscripts intended for top-tier international finance journals. It teaches authors to adopt an empirical, direct, and policy-aware voice, structuring the introduction, abstract, and highlights to highlight the international question and quantifiable policy implications, ensuring appeal to both academics and central bank policy readers.

This guide helps authors structure and explicitly articulate the dual mandate of marketing research: its substantive academic advance and its practical, actionable managerial or policy relevance. It moves beyond merely proving incremental findings, teaching how to frame the 'so what' for both scholars and industry practitioners.

A comprehensive guide for structuring marketing research designs, particularly for journals like the Journal of Marketing (JM). It teaches researchers how to select the most appropriate method (e.g., field experiment, survey, panel data, qualitative study) that directly addresses a substantive, managerially relevant claim. The focus is on achieving both internal validity (establishing causality) and external validity (realism in the market), ensuring the method serves the core business insight rather than being an end in itself.

This skill guides authors on structuring the contribution of their marketing research manuscript, particularly for submission to the Journal of Marketing Research (JMR). It emphasizes meeting JMR's dual requirement: clearly stating both the novel substantive/theoretical insight and the methodological credibility/advance. It provides genre-specific advice for behavioral, econometric, and methods papers to ensure the argument is rigorous and impactful.

This guide helps researchers evaluate if a marketing topic meets the high academic standards of top journals like the Journal of Marketing Research (JMR). It provides a dual-bar test, requiring both methodological rigor (e.g., causal identification, experimental design) and substantive contribution (new insights). It also helps distinguish the appropriate venue among major marketing journals (JM, MS, JCR).

This guide provides comprehensive standards for defending rigorous data analysis in academic submissions, particularly for the Journal of Management Studies (JMS). It details specific requirements for both quantitative work (e.g., robustness checks, SEM, endogeneity) and qualitative work (e.g., coding transparency, abductive logic, trustworthiness), ensuring the analysis credibly supports the theoretical claims.

A comprehensive guide for selecting and justifying research designs in Organization Studies. It covers rigorous standards for both qualitative (ethnographic, process, historical) and quantitative approaches. The core principle emphasized is that the design must directly illuminate the underlying organizational mechanism or process, not just measure endpoints.