JOURNAL ARTICLE

Virtual Team Efficacy Theory: An Integrative Sociotechnical Understanding of the Emergence and Ramifications of Collective Efficacy in Virtual Teams.

  • Published In: Information Systems Research (INFORMS), 2026, v. 37, n. 1. P. 138 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Hardin, Andrew; Chatterjee, Sutirtha; Davison, Robert; Fuller, Mark 3 of 3

Abstract

The article focuses on Virtual Team Efficacy Theory (VTET), a conceptual framework explaining how virtual team efficacy (VTE)—a virtual team-specific form of collective-level efficacy—develops and influences outcomes in technology-mediated virtual teams. VTET integrates collective efficacy theory, collective cognition theory, and media synchronicity theory to describe a complex collective cognition process through which virtual teams use communication media to form shared beliefs about their collaborative capabilities across time and space. The theory identifies key inputs to VTE development, including primary efficacy sources (enactive mastery, vicarious experience, verbal persuasion, and affective states), individual- and collective-level technology and team efficacy beliefs, team and task factors, and virtual team structure (virtuality). VTET further posits that VTE impacts virtual team outcomes via cognitive, motivational, affective, selection, and communication performance mediating processes, emphasizing the critical role of appropriately matching communication media capabilities with team communication needs. The framework offers a novel, sociotechnical perspective that addresses gaps in prior research by explicitly incorporating technology's active role in shaping virtual team efficacy and provides guidance for future empirical studies and practical applications in managing virtual teams.

Additional Information

  • Source:Information Systems Research (INFORMS). 2026/03, Vol. 37, Issue 1, p138
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2026
  • ISSN:1047-7047
  • DOI:10.1287/isre.2022.0299
  • Accession Number:192724200
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.