From Stock to Story: Applying Inventory Management Principles to Literary Analysis

This study explores the interdisciplinary application of inventory management principles in English literature, focusing on how techniques such as ABC analysis, Economic Order Quantity (EOQ), and demand forecasting can optimize literary resource organization and thematic analysis. Drawing from both logistics and digital humanities, the paper examines how these quantitative models can enhance library management, improve access to high-demand texts, and support data-driven literary studies. Using a mixed-methods approach, the research analyzes quantitative data on library usage patterns and qualitative insights from scholars and librarians to illustrate the transformative potential of inventory systems in academic contexts. Findings suggest that inventory-based methods not only streamline resource allocation but also foster thematic discovery across literary corpora. This interdisciplinary synthesis highlights how operational strategies from management sciences can inform and enrich humanities research in the digital age.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-18
DOI
https://doi.org/10.5281/zenodo.17387275
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
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article

From Stock to Story: Applying Inventory Management Principles to Literary Analysis

Zenodo (CERN European Organization for Nuclear Research)
Archaeological Research and Protection
article

From Stock to Story: Applying Inventory Management Principles to Literary Analysis

article en

Abstract

This study explores the interdisciplinary application of inventory management principles in English literature, focusing on how techniques such as ABC analysis, Economic Order Quantity (EOQ), and demand forecasting can optimize literary resource organization and thematic analysis. Drawing from both logistics and digital humanities, the paper examines how these quantitative models can enhance library management, improve access to high-demand texts, and support data-driven literary studies. Using a mixed-methods approach, the research analyzes quantitative data on library usage patterns and qualitative insights from scholars and librarians to illustrate the transformative potential of inventory systems in academic contexts. Findings suggest that inventory-based methods not only streamline resource allocation but also foster thematic discovery across literary corpora. This interdisciplinary synthesis highlights how operational strategies from management sciences can inform and enrich humanities research in the digital age.

Zenodo (CERN European Organization for Nuclear Research)
Sri Sai University (IN)
Quality Education
Openalex Percentile: Top 26%
Archaeological Research and Protection
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