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arXiv · 2604.07934

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
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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 matter to researchers, doctoral students, and lab managers: identifying recent work, surfacing topical concentration, comparing themes, and converting search output into actionable research material. Architecturally, the system emphasizes source transparency, modularity, and low-cost public deployability through a lightweight Node.js service layer, a multi-page client interface, optional large-language-model enhancement for interpretation and writing support, and a free-tier persistence path through Supabase. The paper contributes both a functioning design artifact and an extensible architectural pattern for journal-pool-specific scholarly discovery and writing support, with implications for digital research infrastructure in information systems and business scholarship.

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Chuang Zhao, Hongke Zhao, Yichen Li, Xiaoquan Zhi, Songyue Guo. 2026-04-20. Lishu: A Real-Source Research Workbench for Elite Business Journal Search, Analysis, and Writing Support. https://arxiv.org/abs/2604.07934

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