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如何在系统综述和元分析中检索文献:一份全面的逐步指南

How to search for literature in systematic reviews and meta-analyses: A comprehensive step-by-step guide

Technological Forecasting and Social Change · 2024
被引 78 · 同刊同年前 6%
ABS 3

中文导读

本文为管理及社会科学领域的系统综述和元分析提供文献检索指南,基于404篇综述和135项方法论研究,提出四步流程(范围界定、检索、筛选、报告)及数据库和工具建议,帮助研究者提升文献采样质量。

Abstract

We introduce a comprehensive guide to improve literature sampling in systematic literature reviews (SLRs) and meta-analyses (MAs) in management and adjacent social science disciplines. Analyzing 404 SLRs and MAs from top-tier management-related journals and the 135 methodological studies on which they relied revealed significant opportunities to improve sampling quality. We found that inadequate guidance and an overreliance on unfounded “best practices” often leads to suboptimal search strategies and incomplete reporting. To improve literature sampling, we have developed a guide that details four sequenced and prioritized scoping, searching, screening, and reporting steps. The guide also includes recommendations for the most suitable literature databases to search with, suggested (AI-enabled) tool support, and two checks to validate the effectiveness of search strategies. We created this guide by adapting the state-of-the-art recommendations of the Cochrane Handbook and PRISMA—the widely acknowledged benchmarks in methodical and reporting guidance—and supplementing them with additional evidence-based methodological insights. By adopting the guide, authors can ensure their sampling is effective and meets the high standards of SLRs and MAs, thereby likely boosting the impact of their review. The guide is applicable to all review types that require comprehensive, transparent, and reproducible sampling, including bibliometric studies and integrative reviews.

系统综述元分析管理科学社会科学文献检索