Teamharmony: Employing Matchmaking Algorithms to Team-Building

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1053354

Entities

People

  • Ian B. Macgregor
  • Jared D. Tomberlin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Applied Psychology
  • Army Personnel
  • Chemistry
  • Electronic Mail
  • Employment
  • Information Processing
  • Personnel Management
  • Psychological Tests
  • Psychology
  • Social Psychology
  • Social Sciences
  • Special Forces
  • Special Operations Forces
  • Students
  • United States
  • War Colleges

Readers

  • Academic Conference Management
  • Artificial Intelligence
  • Instructional Design and Training Evaluation.