A Latent Space Modeling Approach to Interfirm Relationship Analysis

Ka Chung Ng, Mike Ka Pui So, Kar Yan Tam (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Interfirm relationships are crucial to our understanding of firms’ collective and interactive behavior. Many information systems-related phenomena, including the diffusion of innovations, standard alliances, technology collaboration, and outsourcing, involve a multitude of relationships between firms. This study proposes a latent space approach to model temporal change in a dual-view interfirm network. We assume that interfirm relationships depend on an underlying latent space; firms that are close to each other in the latent space are more likely to develop a relationship. We construct the latent space by embedding two dynamic networks of firms in an integrated manner, resulting in a more comprehensive view of an interfirm relationship. We validate our approach by introducing three business measures derived from the latent space model to study alliance formation and stock comovement. We illustrate how the trajectories of firms provide insights into alliance activities. We also show that our proposed measures have strong predictive power on stock comovement. We believe the proposed approach enriches the methodology toolbox of IS researchers in studying interfirm relationships.
Original languageEnglish
Article number10
Pages (from-to)1-44
JournalACM Transactions on Management Information Systems
Issue number2
Publication statusPublished - 12 Jan 2021
Externally publishedYes


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