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Quade, Anatoli, Wynn, Martin G 
ORCID: 0000-0001-7619-6079 and Dawson, David ORCID: 0000-0002-4994-6169
(2020)
Collaboration Through Virtual Teams: Towards an Operational Model for Virtual Project Leadership in the Automotive Industry.
COLLA 2020: The Tenth International Conference on Advanced Collaborative Networks, Systems and Applications.
pp. 1-7.
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8698-Wynn-(2020)-Collaboration-through-virtual-teams.pdf - Accepted Version Available under License All Rights Reserved. Download (477kB) | Preview |
Abstract
Companies from various sectors of the economy are confronted with the new phenomena of digitalization and globalization, and are faced with the challenges of formulating and implementing new business models, updated strategies and different ways of working. In the automotive sector, globalisation has required new developments in project management practices and support technologies, notably those relating to the challenges of collaborating over distance between and within dispersed teams. Researchers and practitioners have started to think more comprehensively about the complexity of projects with dispersed teams, and how best to manage them. This interim paper is the result of the distillation of relevant literature relating to virtual teams. It presents a set of critical success factors for virtual teams and outlines a provisional model for virtual team leadership and management. This model is currently being evaluated and developed through in-depth interviews with field practitioners working in the automotive sector. The confirmed model will provide operational guidance for practitioners and an analytical framework for further research studies.
| Item Type: | Article |
|---|---|
| Article Type: | Article |
| Additional Information: | COLLA 2020: The Tenth International Conference on Advanced Collaborative Networks, Systems and Applications. October 18th-22nd, 2020, Porto, Lisbon. ThinkMind. ISSN: 2308-4227. ISBN: 9781612087979 |
| Related URLs: | |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
| Research Priority Areas: | Applied Business & Technology |
| Depositing User: | Martin Wynn |
| Date Deposited: | 07 Sep 2020 10:40 |
| Last Modified: | 31 Aug 2023 08:01 |
| URI: | https://eprints.glos.ac.uk/id/eprint/8698 |
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