Georgiana Avram
Understanding the relationship between collective intelligence and entrepreneurial team performance through online creative problem-solving
Avram, Georgiana; Carter, Chris James
Authors
Dr CHRISTOPHER CARTER CHRISTOPHER.CARTER@NOTTINGHAM.AC.UK
Assistant Professor in Entrepreneurship and Innovation
Abstract
The early stages of entrepreneurial activity offer invaluable insights into the emergence and development of business opportunities. With converging evidence indicating a key role for " collective intelligence " in predicting team performance across tasks, we seek to reframe the dominant perspective on early entrepreneurial activity to include team characteristics and processes. We also respond to the increasing presence of digital technologies within entrepreneurship education by analysing a unique dataset of student-generated ideas and solutions to real-life problems, whose analysis paints a complex picture of performance at the intersection of psychological, cognitive and behavioural contributors.
Citation
Avram, G., & Carter, C. J. (2018). Understanding the relationship between collective intelligence and entrepreneurial team performance through online creative problem-solving. In Frontiers of Entrepreneurship Research
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | Babson College Entrepreneurship Research Conference |
Start Date | Jun 6, 2018 |
End Date | Jun 9, 2018 |
Acceptance Date | Feb 1, 2018 |
Publication Date | 2018 |
Deposit Date | Dec 11, 2018 |
Series Title | Frontiers of Entrepreneurship Research |
Series Number | 38 |
Book Title | Frontiers of Entrepreneurship Research |
Public URL | https://nottingham-repository.worktribe.com/output/1405688 |
Publisher URL | https://digitalcollections.babson.edu/digital/collection/ferpapers/id/103/rec/1 |
Additional Information | The abstract of this paper will be included in the Babson College Entrepreneurship Research Conference 2018 proceedings, Frontiers of Entrepreneurship Research. This will become available online at: https://digitalknowledge.babson.edu/fer/all_issues.html (date TBC) |
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