Teamharmony: employing matchmaking algorithms to team-building

Loading...
Thumbnail Image
Authors
MacGregor, Ian B.
Tomberlin, Jared D.
Subjects
matchmaking
algorithm
team-building
talent management
TM
IBM
Saberr
NASA
bots
online dating
Robin Sage
human resources
HR
S1
personnel
personality
psychology
values
psychometrics
human chemistry
cohesion
group
team
staff
staffing
social
eHarmony
toxic
toxicity
groupthink
SFAB
Advisors
Simons, Anna
Date of Issue
2017-12
Date
Dec-17
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The Army is concerned with ways in which it can improve talent management. It focuses almost exclusively upon individuals and their unique qualifications and experiences. However, the Army is not a collection of individuals, rather, it is a collection of teams. Our research examines the applicability of using matchmaking algorithms to model team chemistry to optimize job placement. We adopted a practical, qualitative approach, using data from discussions with subject matter experts, as well as a review of the relevant literature. We found that although the social science community has not reached a consensus concerning human chemistry, the tech community has found ways to predict a measure of human chemistry, and Army Special Operations Forces leaders should consider pilot efforts to improve talent management using these algorithms to augment current methods. For instance, the Robin Sage exercise during the Special Forces Qualification Course would provide an ideal venue.
Type
Thesis
Description
Department
Defense Analysis (DA)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.