BOOK CHAPTERS

Handley, H.A.H. (2012). The Role of Architecture Frameworks in Simulation Models: The Human View Approach.  In Engineering Principles of Combat Modeling and Distributed Simulation, Tolk, A. (Ed). John Wiley & Sons, Inc., 811-824.

Handley, H.A.H., & Heacox, N.J. (2008). Modeling cultural and organizational factors of multinational teams.  In Macrocognition in Teams: Theories and Methodologies, Letsky, M.P., Warner, N., Fiore, S., & Smith, C.A.P. (Eds). Ashgate Publishing, 223-237.

REFEREED JOURNAL PUBLICATIONS

Handley, H.A.H., Pinto, C.A. & Gheorghe, A.V. (2012). Introduction to the Special Edition: Challenges, Solutions and Research, International Journal of Critical Infrastructures. In Press.

Handley, H.A.H. (2012). Incorporating The NATO Human View in the DoDAF 2.0 Meta Model, Systems Engineering. 15(1),108-117.

Handley, H.A.H., & Heacox, N.J. (2010). Collaborative multinational mission planning system with support for macrocognitive processes. Theoretical Issues in Ergonomic Science, 11(4), 375-386.

Handley, H.A.H., & Smillie, R.J. (2010). Human View Dynamics - The NATO approach. Systems Engineering, 13(1), 72-79.

Handley, H.A.H., & Smillie, R.J. (2008). Architecture framework human view: The NATO Approach. Systems Engineering, 11(2), 156-164.

Handley, H.A.H., & Heacox, N.J. (2004).  An integrative decision space model for simulation of cultural differences in human decision-making. Information Knowledge Systems Management, 4(2), 95-105.

Handley, H.A.H., & Levis, A.H. (2003). Organizational architectures and mission requirements: A model to determine congruence. Systems Engineering, 6(3), 184-194.

Handley, H.A.H., & Levis, A.H. (2001). Incorporating heterogeneity in command center interactions. Information Knowledge Systems Management, 2(4), 297-309.

Handley, H.A.H., & Levis, A.H. (2001). A model to evaluate the effect of organizational adaptation. Computational and Mathematical Organization Theory, 7(1), 5-44.

Handley, H.A.H., Zaidi, Z.R., & Levis, A.H. (1999).  The use of simulation models in model driven experiments. Systems Engineering, 2(2), 108-128.