Skill UI

This skill provides a comprehensive guide for authors targeting the Journal of Marketing Research (JMR). It analyzes the journal's demanding standards for methodological rigor, covering quantitative modeling, behavioral experiments, and design validity. Use this tool to assess if your manuscript's contribution, structure, and evidence base meet JMR's high academic bar, or to suggest more appropriate alternative venues.

This skill guides the development of the theoretical framework for policy-related manuscripts, focusing on building a rigorous 'theory of the policy lever.' It helps users account for the mechanism by which a mandated rule, restriction, or default changes marketplace behavior, considering unintended consequences, strategic firm responses, and the effect on vulnerable populations. It moves theory beyond simple hypothesis generation.

This guide provides comprehensive methodology for advanced empirical analysis in Public Economics, particularly for manuscripts using large administrative or register microdata. It covers advanced topics like estimating behavioral elasticities, calculating welfare metrics (MVPF, DWL), and ensuring robust causal identification strategies. It emphasizes translating raw coefficients into policy-relevant quantities with rigorous uncertainty quantification.

A rigorous methodological framework for identifying core risk and uncertainty parameters in academic research. This guide details how to design experiments or structural models to explicitly separate confounds (e.g., utility curvature vs. probability weighting, preferences vs. beliefs) and ensure that the measured parameter is genuinely identified, thereby enhancing the scientific rigor of behavioral finance and econometrics studies.

A comprehensive framework for conducting and structuring robustness checks in academic papers, particularly in econometrics and behavioral economics. It guides researchers on identifying specific threats to the core parameter (e.g., functional form dependence, incentive bias, sample selection) and organizing tests by threat, ensuring the findings are statistically reliable and withstand expert scrutiny.

This guide provides rigorous standards for transforming complex behavioral and risk data into clear, statistically sound, and academically rigorous tables and figures. It ensures that key decision-theoretic content, such as choice patterns, parameter estimates, and uncertainty, are visibly and interpretably presented for academic publication.

A comprehensive guide for researchers developing models in decision theory under risk and uncertainty. It outlines how to strengthen theoretical representations by ensuring the model is anchored by clear axiomatic foundations, a mathematically tractable functional form, and crucially, verifiable behavioral content (i.e., what the model predicts or forbids). This helps bridge the gap between abstract theory and empirical data.

This guide helps researchers determine if their core contribution is focused on measuring or refining a specific risk or uncertainty primitive (e.g., ambiguity attitudes, VSL, probability weighting). It provides a framework to assess scope fit and distinguish between behavioral anomalies, methodological findings, and foundational risk theory, ensuring the paper is positioned correctly for high-tier academic journals like JRU.

This comprehensive skill guides users through the submission process for 'Management Review.' It helps assess whether a manuscript's theoretical contribution, methodology, and contextual fit align with the journal's scope (e.g., strategic management, organizational behavior, digital transformation). It provides detailed structural requirements, formatting rules (like anonymity, citation styles), and proactively highlights common rejection pitfalls, optimizing the paper for the target academic venue.

This guide provides comprehensive advice for positioning computer science manuscripts, particularly those involving software repository mining, developer behavior, and empirical methods, for the Mining Software Repositories (MSR) conference. It covers required elements like dataset construction, validity threat analysis, reproducible workflows, and aligning the work with the specific scope of software analytics venues, helping authors strategically re-frame their research for maximum impact.

This skill is a comprehensive guide for researchers to determine if their Information Systems (IS) research manuscript meets the high academic standards of MIS Quarterly (MISQ). It evaluates the theoretical contribution, methodological rigor (behavioral, design-science, economics), and overall fit, providing crucial guidance on re-framing the work or suggesting alternative academic venues before submission.

This guide provides a structured methodology for authors to articulate the core contribution of their Information Systems (IS) research for top-tier academic journals, such as MIS Quarterly. It ensures that the paper explicitly states the new knowledge produced (e.g., behavioral mechanisms, design principles, economic effects), justifies the manuscript's length, and rigorously connects theoretical advances with practical and societal implications, thereby avoiding claims of being merely 'incremental' or 'technical' exercises.