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This guide helps researchers select and defend the appropriate empirical methodology for Operations Management (OM) studies. It covers diverse design types—including surveys, archival data analysis, behavioral experiments, field studies, and intervention-based research—ensuring the design is observation-grounded, matches the operational claim, and anticipates rigorous methodological checks.

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 guide helps researchers evaluate if their operations management (OM) paper is suitable for the Manufacturing and Service Operations Management (M&SOM) journal. It provides detailed criteria on scope, required operational insight, method rigor (analytical or empirical), and structural house style, ensuring the core contribution addresses practical operations problems rather than just technical methodology.

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.

A comprehensive guide for researchers writing about Manufacturing and Service Operations Management (M&SOM). It mandates that the method chosen must be dictated by the core operational decision. Provides detailed frameworks for both the analytical lane (e.g., stochastic optimization, queueing theory, game theory) and the empirical/causal lane (e.g., Difference-in-Differences, Instrumental Variables), ensuring the research delivers actionable operational insights.

A detailed guide for authors submitting to top-tier management journals, focusing on responding to reviewer comments (R&R). It provides a structured methodology for drafting point-by-point rebuttal letters, ensuring alignment between the revised manuscript and the written response. The guide emphasizes prioritizing text revision, strengthening identification, mechanism, and policy implications.

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 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 workflow router designed to guide researchers through the entire process of preparing manuscripts for top-tier business journals, such as the Nankai Business Review. This guide does not replace specialized skills but provides a structured, stage-gated approach covering theory gap identification, hypothesis development, rigorous measurement validation (e.g., SEM, validity), contextualization, and strategic revision (R&R). It ensures that the paper meets the necessary standards for theoretical contribution and empirical depth.

Guides the rigorous development of theoretical models and research frameworks for Production and Operations Management (POM) manuscripts. It covers analytical, empirical, and behavioral tracks, ensuring that all assumptions and mechanisms are deeply grounded in real-world operational constraints and decision-making processes, thereby building a defensible academic argument.

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.

A comprehensive pre-submission checklist for authors submitting research syntheses (such as meta-analyses or systematic reviews) to Psychological Bulletin via APA Editorial Manager. It guides authors through critical checks, including proper masking (anonymizing author identity), adherence to APA 7th edition standards, abstract length constraints (≤ 250 words), and mandatory completion of reporting frameworks like MARS or PRISMA.