Quade, Anatoli, Wynn, Martin G ORCID: 0000-0001-7619-6079 and Dawson, David ORCID: 0000-0002-4994-6169 (2022) Virtual Team Leadership and Operation in the Automotive Industry: Profile of a Research Case Study. International Journal On Advances in Intelligent Systems, 14 (1/2). pp. 82-93.
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10466 Quade, Wynn and Dawson (2021) Virtual-team-leadership-and-operation-in-the-automotive-industry-profile-of-a-research-case-study.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial Share Alike 4.0. Download (1MB) | Preview |
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Abstract
The impact of digitalisation on industry and society at large is huge and has parallels with the advent of the internet more than twenty years ago. In the automotive sector, companies are also confronted with the implications of the so-called megatrends of connected car, autonomous vehicles, sharing/subscription, and electrification, which are challenging current business models and working practices. This has brought about new approaches to project management practices, notably those relating to collaborating over distance between and within dispersed teams. Researchers and practitioners have started to think more comprehensively about the complexity of projects with virtual teams, and how best to manage them. This article is the result of the distillation of relevant literature relating to virtual teams and the analysis of in-depth interviews undertaken with industry experts. It puts forward a model (V-CORPS) for virtual team leadership and management. The authors believe these results can be of value in providing guidance for practitioners working in virtual teams, and as an analytical framework for further research studies in this field.
Item Type: | Article |
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Article Type: | Article |
Additional Information: | The published article is freely available from the publisher's website. |
Uncontrolled Keywords: | Virtual leadership; Automotive industry, Germany |
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: | 16 Dec 2021 17:07 |
Last Modified: | 31 Aug 2023 08:01 |
URI: | https://eprints.glos.ac.uk/id/eprint/10466 |
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