JOURNAL ARTICLE

Variations of the Bullwhip Effect Across Foreign Subsidiaries.

  • Published In: Manufacturing & Service Operations Management (M&SOM) (INFORMS), 2023, v. 25, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Lee, Seungrae; Park, Seung Jae; Seshadri, Sridhar 3 of 3

Abstract

This article investigates variations in the bullwhip effect—defined as the amplification of order variability relative to demand variability—across foreign subsidiaries of Korean multinational firms and examines how country-specific and subsidiary-specific factors influence it. Using a unique panel data set from 2006 to 2013 that includes detailed purchase information for subsidiaries in over 70 countries, the study proposes an alternative bullwhip measure based on the ratio of purchase volatility to demand volatility, which differs significantly from the traditional production-based measure and better captures the effect. Empirical results show that higher foreign wage levels, greater political stability, and increased import penetration in host countries reduce the bullwhip effect, while longer import distances and higher international transportation costs increase it for import-intensive subsidiaries. Additionally, subsidiaries with a high proportion of intrafirm sales exhibit lower bullwhip effects when managed by more expatriate managers or wholly owned by the parent firm, suggesting that stronger parent-subsidiary integration mitigates demand amplification. These findings offer multinational managers insights into supply chain coordination strategies, emphasizing the trade-offs between cost reduction and supply chain variability in global operations.

Additional Information

  • Source:Manufacturing & Service Operations Management (M&SOM) (INFORMS). 2023/01, Vol. 25, Issue 1, p1
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:1523-4614
  • DOI:10.1287/msom.2022.1137
  • Accession Number:161468561
  • Copyright Statement:Copyright of Manufacturing & Service Operations Management (M&SOM) (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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