Methods and Technologies for Evaluating the Effectiveness of Logistics Management Processes in Corporate Information Systems

Abstract

The systematic evaluation of logistics management processes within corporate information systems (CIS) represents a foundational operational requirement for enterprises seeking to maintain competitiveness in increasingly complex supply chain environments. Despite widespread deployment of Enterprise Resource Planning (ERP), Warehouse Management System (WMS), and Transportation Management System (TMS) platforms, organizations frequently lack the structured methodological apparatus necessary to assess process effectiveness beyond reactive financial reporting. This article presents a comprehensive analysis of the methods and technologies applicable to logistics CIS evaluation, integrating canonical IS success frameworks, specifically the DeLone and McLean IS Success Model, the Balanced Scorecard, and the Supply Chain Operations Reference (SCOR) model, with quantitative KPI measurement methodologies and qualitative diagnostic approaches. A formal taxonomy of ten key performance indicators is developed and operationalized through corporate system data sources. The technological enablers of evaluation, Business Intelligence dashboards, ERP-native analytics modules, and process mining platforms, are examined in detail. A hypothetical scenario application demonstrates the practical diagnostic and corrective value of structured evaluation, documenting post-intervention improvements of up to 19.2 percentage points in Perfect Order Rate and 45.8% reduction in Goods Receipt Processing Time within a regional freight and warehousing enterprise. The findings affirm that structured, technology-mediated evaluation of logistics IS effectiveness is a prerequisite for sustained operational performance