Skill UI

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 comprehensive guide outlines the mandatory replication and data policy for mathematical finance manuscripts. It provides authors with templates for Data Availability Statements (covering no data, code only, or public data) and details rigorous best practices for ensuring numerical exhibits are fully reproducible. It covers creating exhibit provenance ledgers and managing computational dependencies to maintain academic rigor.

This guide instructs authors on how to strategically position their research manuscript within the established body of Operations Management (OM) literature. Instead of claiming an unstudied 'void,' the focus is on joining and advancing specific 'operational conversations' within canonical OM streams (e.g., queueing, supply chain, revenue management). It emphasizes differentiating contributions based on novel operational mechanisms or decision levers, ensuring the paper's fit is clear to expert reviewers and editors.

This guide assists researchers in determining whether a manuscript's topic, methodology, and theoretical contribution are appropriate for a specific theory-building management journal. It provides detailed criteria for evaluating conceptual relationships, suitable methods (SEM, experiment, case study), and appropriate re-routing suggestions for papers that are misaligned with the target journal's scope (e.g., pure math models, macro policy evaluation).

A comprehensive preflight guide for authors submitting academic manuscripts to journals via platforms like Sage Track. This checklist ensures compliance with mandatory journal requirements, including word count targets, abstract structure, anonymous masking techniques, SAGE Harvard referencing, and critical ethical/data availability statements. Use this before any final upload.

This guide details best practices for creating high-impact tables and figures for psychological science manuscripts, adhering to APA 7th edition guidelines. It emphasizes showing effect sizes, uncertainty (like confidence intervals), and embedding visuals directly within the main text near their first discussion, moving beyond traditional end-of-document placement. It covers data visualization principles and manuscript triage.