Using genre analysis for conceptualising virtual team collaborations with complex role and work context connections: what implementation problems can occur?

Clemens Deinhofer and Thomas Myrach

Behaviour and Information Technology, 2025, vol. 44, issue 13, 3133-3151

Abstract: Modern technology enables virtual team collaboration, offering new possibilities, particularly for geographically distributed teams. Traditionally, organisations favoured presence-based collaboration, but the COVID-19 pandemic triggered a widespread reconsideration, highlighting the feasibility and advantages of virtual teamwork. In the post-pandemic era, the focus has shifted from whether to engage in virtual team collaboration to how to do so effectively and efficiently. Particularly, the COVID-19 pandemic revealed that virtual team collaborations with complex role and work context connections can still encounter fundamental problems. Thus, it is crucial to promote effective and efficient collaboration within virtual teams. This study employs a genre analysis proactively to conceptualise complex virtual team collaboration within a fully virtualised management education seminar addressing real-world IT consulting problems. Through a qualitative multiple-case study approach, the effectiveness and efficiency of this approach are evaluated. This study demonstrates the feasibility through handling, individual satisfaction, and group performance. It also sheds light on the potential of proactive use of genre analysis. The findings underscore the importance of using genre analysis in a proactive way and provide theoretical insights.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2433033 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:44:y:2025:i:13:p:3133-3151

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2024.2433033

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().