Collective Planning and Leadership for the U.S. Army (Domains 2. Leader Development Ia and Ic; and 4. Organizational Effectiveness Ia, Ib, and IIc)

Abstract

The United States Army recognizes the importance of multi-level and collective approaches to leadership and organizational effectiveness and their implementations in the Army context. In this proposal, we develop an enhanced multi-level model of collective leadership and planning, a critical aspect of leadership and performance, for testing with a series of laboratory experimental studies and dynamic multi-level agent-based models and simulations (ABMs). The objectives of this research are to test a collective leadership approach, its impact on collective planning, and the joint influence of collective planning and leadership on performance and effectiveness for the Army. The experimental studies, using student participants, will be conducted such that collectives are asked to plan performance on military exercises at company and battalion levels and on a business strategy exercise in an organization; and the dynamic multi-level ABMs will be developed at the same levels of complexity. In both methods, experiments and ABMs, attributes of collective leadership will be assessed/modeled and related to the strategies employed in collective planning and performance. The findings from these studies will be used to draw inferences about how collective leadership influences collective planning strategies and performance at the collective level. This multi-disciplinary effort involves researchers from management, psychology, and systems science engineering, and from three interdisciplinary research centers and two universities. The proposed research contributes to the 2. Leader Development domain objectives Ia and Ic and the 4. Organizational Effectiveness domain objectives Ia, Ib, and IIc in the ARI (2016) BAA.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 15, 2018
Source ID
W911NF1710221

Entities

People

  • Francis Yammarino

Organizations

  • Army Contracting Command
  • Research Foundation for the State University of New York
  • United States Army

Tags

Readers

  • Military Training and Readiness Simulation
  • Nuclear Civil Defense.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy