Full metadata
Title
The role of teamwork in predicting movie earnings
Description
Intelligence analysts’ work has become progressively complex due to increasing security threats and data availability. In order to study “big” data exploration within the intelligence domain the intelligence analyst task was abstracted and replicated in a laboratory (controlled environment). Participants used a computer interface and movie database to determine the opening weekend gross movie earnings of three pre-selected movies. Data consisted of Twitter tweets and predictive models. These data were displayed in various formats such as graphs, charts, and text. Participants used these data to make their predictions. It was expected that teams (a team is a group with members who have different specialties and who work interdependently) would outperform individuals and groups. That is, teams would be significantly better at predicting “Opening Weekend Gross” than individuals or groups. Results indicated that teams outperformed individuals and groups in the first prediction, under performed in the second prediction, and performed better than individuals in the third prediction (but not better than groups). Insights and future directions are discussed.
Date Created
2016
Contributors
- Buchanan, Verica (Author)
- Cooke, Nancy J. (Thesis advisor)
- Maciejewski, Ross (Committee member)
- Craig, Scotty D. (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vii, 124 pages : color illustrations
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.40353
Statement of Responsibility
by Verica Buchanan
Description Source
Viewed on December 9, 2016
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2016
Note type
thesis
Includes bibliographical references (pages 31-34)
Note type
bibliography
Field of study: Engineering
System Created
- 2016-10-12 02:23:06
System Modified
- 2021-08-30 01:21:02
- 2 years 8 months ago
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