JOURNAL ARTICLE

Organizing for Software Product Development: The Effects of Team Structure, Product Complexity, and Cross-Team Coordination.

  • Published In: Information Systems Research (INFORMS), 2026, v. 37, n. 1. P. 603 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Hahn, Jungpil; Zhou, Junjie; Lee, Gwanhoo; Zorin, Vasilii 3 of 3

Abstract

This article examines how software development team structures—specifically feature teams organized around end-to-end customer-centric functionality and component teams organized around technical subsystems—affect performance under varying levels of product complexity and cross-team coordination. Using an extended NK fitness landscapes computational simulation model, the study validates the mirroring hypothesis, showing that aligning team structures with either the problem space (user requirements) or solution space (technical components) improves development outcomes, with feature teams generally outperforming component teams, especially in complex problem spaces. The research highlights that the effectiveness of structural mirroring diminishes as software complexity increases but can be compensated by appropriate levels of cross-team coordination, where moderate synchronization frequency often yields optimal performance. Additionally, the study finds that broader team scopes (underfitting) can better manage interdependencies in complex environments when coordination is costly or infrequent, particularly benefiting component teams. These findings offer a contingency-based framework for managers to tailor team organization and coordination strategies according to the specific complexities of software products to enhance delivery speed and quality.

Additional Information

  • Source:Information Systems Research (INFORMS). 2026/03, Vol. 37, Issue 1, p603
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2026
  • ISSN:1047-7047
  • DOI:10.1287/isre.2023.0154
  • Accession Number:192724211
  • Copyright Statement:Copyright of Information Systems Research (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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