ArXiv TLDR

Top Management Journal Portal: A Real-Source Search and Research Analytics Artifact for UTD-24 and FT50 Journals

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2604.07934

Chuang Zhao, Hongke Zhao

cs.DLcs.SE

TLDR

A new web portal, Top Management Journal Portal, offers specialized search and analytics for elite business and management journals, enhancing research workflows.

Key contributions

  • Introduces Top Management Journal Portal, a web artifact for searching and analyzing literature from UTD-24 and FT50 journals.
  • Integrates live article metadata from Cross-ref API into an end-to-end workflow for research sensemaking.
  • Provides features like query formulation, result filtering, hotspot extraction, citation export, and usage analytics.
  • Offers a modular, low-cost architecture with optional LLM enhancement for public deployability.

Why it matters

This paper matters because it provides a specialized, deployable tool for researchers to navigate high-status management literature more effectively. It addresses the limitations of general search engines by focusing on sensemaking tasks crucial for academic discovery. The extensible architecture also offers a blueprint for future domain-specific research infrastructure.

Original Abstract

This paper presents Top Management Journal Portal, 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, retrieves live article metadata from the Cross- ref REST API, and organizes scholarly work into an end-to-end workflow spanning query formulation, result filtering, hotspot extraction, citation export, favorites management, and usage analytics. 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, 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 hotspot rewriting, 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, with implications for digital research infrastructure in information systems and business scholarship.

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