Chamakiotis, Petros, Boukis, Achilleas, Panteli, Niki, Papadopoulos, Thanos (2020) The Role of Temporal Coordination for the Fuzzy Front-End of Innovation in Virtual Teams. International Journal of Information Management, 50 . pp. 182-190. ISSN 0268-4012. (doi:10.1016/j.ijinfomgt.2019.04.015) (KAR id:73710)
PDF
Author's Accepted Manuscript
Language: English
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
|
|
Download this file (PDF/1MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1016/j.ijinfomgt.2019.04.015 |
Abstract
In this paper, we study the role of temporal coordination in managing the early stages of innovation (aka fuzzy frontend) in the context of virtual teams. Following a comparative case study approach, we detail the role of temporal coordination through the study of two contrasting virtual teams—one with a 24-hour lifespan, and one with a five-month lifespan—from two Industry-Academia open innovation projects. Our approach was longitudinal capturing virtual team activities from start to end of each project and involved multiple data collection methods, including observations and interviews. The findings reveal that the virtual team lifespan influences the type of temporal coordination that emerges. In virtual teams with short lifespans, tight coordination with frequent communication can help to reduce the uncertainty characterizing the fuzzy front-end. On the other hand, in virtual teams with longer lifespans, loose coordination allows dispersed members to work simultaneously on different, complementary aspects of the task at hand. These findings extend scholarly understanding around how innovation activities are coordinated in technology-mediated environments, such as virtual teams. Finally, we discuss theoretical and managerial implications.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1016/j.ijinfomgt.2019.04.015 |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Thanos Papadopoulos |
Date Deposited: | 01 May 2019 08:35 UTC |
Last Modified: | 05 Nov 2024 12:36 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/73710 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):