Lishu: A Real-Source Research Workbench for Elite Business Journal Search, Analysis, and Writing Support
Chuang Zhao, Hongke Zhao, Yichen Li, Xiaoquan Zhi, Songyue Guo

TL;DR
Lishu is a web-based research workbench tailored for elite business journal search, analysis, and writing support, integrating multiple data sources and offering tools for sensemaking and drafting.
Contribution
It introduces a deployable system specifically designed for high-status management journals, combining data integration, interpretative tools, and a modular architecture for scholarly research.
Findings
Supports comprehensive literature search and monitoring.
Enables generation of citations, previews, and draft production.
Provides a modular, low-cost infrastructure for scholarly discovery.
Abstract
This paper presents Lishu, a deployable web artifact for searching, monitoring, and interpreting literature from elite business and management journals. The system integrates the UTD-24 and Financial Times 50 (FT50) journal pools and combines Crossref, OpenAlex, Unpaywall, and optional CORE enrichment to support a broader research workflow than article retrieval alone. In the current implementation, users can search across curated journal pools, apply multi-journal filters, preview open full-text excerpts when available, generate citations and exports, inspect topic and affiliation structure, produce review drafts, simulate virtual peer review, and assemble grant-oriented research narratives. Unlike static journal directories or general-purpose academic search engines, the artifact is explicitly scoped to high-status management outlets and is designed to support sensemaking tasks that…
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