open access publication

Article, 2024

Managing the Dual Business Model Trade-off in Multinational Corporations

Journal of Business Models, ISSN 2246-2465, Volume 12, 3, Pages 42-52, 10.54337/jbm.v12i3.8471

Contributors

Mozheiko, Sergei [1] Sund, Kristian Johan 0000-0002-4193-223X [2]

Affiliations

  1. [1] Roskilde University & Sino-Danish College, University of Chinese Academy of Sciences
  2. [2] Roskilde University
  3. [NORA names: RUC Roskilde University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

When a multinational operates different business models in different markets, a trade-off typically exists between local-market adaptations and cross-market economies of scale and scope. How do country managers navigate these trade-offs and the tensions inherent in developing and operating such dual business models? In this short paper we explore how a local subsidiary can innovate its business model in a way that creates alignment with the local market while respecting the larger corporate structure. We study the Chinese subsidiary of Velux, a multinational window manufacturer, that has transformed its business model from simple production to engineering, and further to modular solutions. We show that by respecting both the corporate strategic mission and the corporate culture, in combination with avoiding any direct challenge to the core corporate business model, the subsidiary has bypassed the tensions commonly observed with dual business models.

Keywords

Chinese subsidiaries, Dual, adaptation, alignment, business, business models, combination, core, corporate business models, corporate culture, corporate structure, corporations, countries, country managers, culture, economy, engineering, local market adaptation, local markets, local subsidiaries, management, manufacturing, market, mission, model, modeling trade-offs, modular solution, multinational corporations, multinationals, production, scope, solution, strategic mission, structure, subsidiaries, tension, trade-offs, window manufacturer

Data Provider: Digital Science