Skill UI

A comprehensive checklist and guide for authors submitting a Marketing Science manuscript via ScholarOne. It details critical steps including manuscript anonymization for double-anonymous review, selecting the correct article track (Regular, Frontiers, Practice), adherence to strict formatting rules, assembling a robust replication package (code and data access), and managing all submission requirements.

A comprehensive guide for structuring and generating core exhibits—including estimates, model-fit, comparative statics, and counterfactuals—for academic manuscripts in Marketing Science. Designed to adhere to rigorous academic house styles (e.g., INFORMS), ensuring model mechanisms and policy implications are clearly and rigorously presented to quantitative reviewers.

A guide for transforming abstract marketing phenomena into rigorous, mathematically testable models. It covers both analytical (game-theoretic) and structural econometric approaches, emphasizing the specification of primitives, deriving equilibria, and establishing clear identification arguments for academic research.

This skill guides researchers through a rigorous two-part assessment process: first, confirming the substantive importance of a marketing phenomenon; and second, verifying that the question is modelable using formal analytical or structural econometric techniques. It helps determine the ideal target journal (e.g., Marketing Science, JCR, JMR) by evaluating the core contribution and required methodology, ensuring the research aligns with specific academic standards and counterfactual requirements.

This guide serves as a comprehensive workflow router for authors preparing a Marketing Science manuscript. It dictates the sequential steps, from identifying a modeling-worthy topic and developing a structural or analytical model, through data analysis, contribution framing, and final submission. It ensures the paper maintains a focus on formal modeling and managerial counterfactuals, adhering to the journal's rigorous standards.

This guide provides a detailed checklist and structural framework for polishing Marketing Science manuscripts. It emphasizes leading with clear business intuition over complex notation, adhering to INFORMS house style (citations, formatting, length), and ensuring the paper is submission-ready. Use this skill during the late-stage review process when the model and core arguments are finalized.

This guide outlines the scope, theoretical expectations, and methodological requirements for submitting high-quality academic research to the Nankai Business Review. It targets studies in strategic management, organizational behavior (OB), HRM, and marketing that build management theory grounded in the Chinese context, requiring strong theoretical contribution and rigorous empirical or qualitative methods.

This skill helps users determine which marketing efforts truly drive conversions and revenue. It covers interpreting various attribution models (First-touch, Last-touch, Data-driven) and reconciling conflicting data reported by multiple marketing tools. It also guides users on implementing first-party, self-hosted attribution tracking when they own the site or app.

This guide provides a structured framework for presenting complex empirical results in academic manuscripts, particularly for international marketing journals. It details the essential 'spine exhibits' (conceptual models, invariance tables, cross-national patterns) and teaches techniques like the 'claim test' and 'triage' to ensure arguments are clear, rigorous, and adhere to strict page limits.