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

2026-04-09

AI Summary

This study addresses the lack of specialized, transparent, and actionable support in existing academic tools for top-tier management journals such as UTD-24 and FT50, which hinders the identification of cutting-edge research and its practical translation. To bridge this gap, we propose a lightweight, publicly deployable web system that leverages the Crossref API to fetch bibliographic metadata in real time. Built on a modular architecture and a cost-effective stack (Node.js + Supabase), the system supports end-to-end workflows—from literature retrieval and filtering to emerging topic extraction and citation export. Innovatively, it integrates large language models to refine and rewrite hot topics, enhancing researchers’ contextual understanding and capacity for actionable insights. The platform significantly improves users’ efficiency in accessing high-impact management literature and offers an extensible paradigm for digital research infrastructure in business disciplines.

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.

Problem

• scholarly discovery
• UTD-24
• FT50
• research analytics
• management journals

Innovation

• journal-specific discovery
• research analytics artifact
• modular web architecture
• LLM-enhanced hotspot extraction
• open scholarly infrastructure