JOURNAL ARTICLE

Inventory Types and Firm Performance: Vector Autoregressive and Vector Error Correction Models

Cuneyt ErogluChristian Hofer

Year: 2011 Journal:   Journal of Business Logistics Vol: 32 (3)Pages: 227-239   Publisher: Wiley

Abstract

The effects of inventory management on firm performance have been well documented. Most previous research, however, has focused on the performance effects of total inventories and has ignored the potentially differential performance effects of raw materials, work-in-process, and finished goods inventories. This research investigates the effects of various inventory types on firm performance. The empirical analyses of data from U.S. manufacturing industries reveal that the magnitude of the inventory–performance relationship varies by type of inventory and across industries. Specifically, raw materials inventories have a greater impact on firm performance than work-in-process and finished goods inventories. As a possible explanation, intertemporal interactions among these inventory types are explored using vector autoregressive and vector error correction models. The results suggest that raw materials and finished goods inventories asymmetrically affect each other over time. Implications for research and practice as well as future research opportunities are discussed.

Keywords:
Finished good Autoregressive model Perpetual inventory Econometrics Work (physics) Process (computing) Inventory management Business Raw material Inventory theory Industrial organization Operations research Computer science Operations management Economics Microeconomics Production (economics) Mathematics Engineering

Metrics

52
Cited By
2.59
FWCI (Field Weighted Citation Impact)
46
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Supply Chain and Inventory Management
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Efficiency Analysis Using DEA
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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