Influence strategies for systems of systems

Distributed decision making has been identified as a source of managerial complexity for the SoS engineer. A new framework, AIR (Anticipation-Influence-Reaction), is proposed to capture the feedback relationship between the decisions made by constituents and those made by the managers of the SoS. AI...

Full description

Bibliographic Details
Main Authors: Shah, Nirav B., Sussman, Joseph M., Rhodes, Donna H., Hastings, Daniel E.
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2013
Online Access:http://hdl.handle.net/1721.1/82527
https://orcid.org/0000-0001-6941-2124
https://orcid.org/0000-0003-4421-5110
_version_ 1811089117813932032
author Shah, Nirav B.
Sussman, Joseph M.
Rhodes, Donna H.
Hastings, Daniel E.
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Shah, Nirav B.
Sussman, Joseph M.
Rhodes, Donna H.
Hastings, Daniel E.
author_sort Shah, Nirav B.
collection MIT
description Distributed decision making has been identified as a source of managerial complexity for the SoS engineer. A new framework, AIR (Anticipation-Influence-Reaction), is proposed to capture the feedback relationship between the decisions made by constituents and those made by the managers of the SoS. AIR is then used to develop a five-member set of basic influences that can bring about changes in constituent behavior thus modifying the SoS. These influences, the 5 I's, are Incentives, Information, Infrastructure, Integration, and Institutions. AIR and the influences are demonstrated through qualitative application to real-world SoS and quantitatively through a simulation of an inter-modal transport network. It is found that cooperation between competing constituents can be quite fragile and sensitive to the SoS context. Careful, dynamic planning of influence strategies is needed to maintain SoS behavior in the face of constituents who are driven by self-interest and a limited, local perspective of the SoS.
first_indexed 2024-09-23T14:13:58Z
format Article
id mit-1721.1/82527
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T14:13:58Z
publishDate 2013
publisher Institute of Electrical and Electronics Engineers
record_format dspace
spelling mit-1721.1/825272022-10-01T19:56:22Z Influence strategies for systems of systems Shah, Nirav B. Sussman, Joseph M. Rhodes, Donna H. Hastings, Daniel E. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Engineering Systems Division MIT Sociotechnical Systems Research Center Hastings, Daniel E. Shah, Nirav B. Sussman, Joseph M. Rhodes, Donna H. Hastings, Daniel E. Distributed decision making has been identified as a source of managerial complexity for the SoS engineer. A new framework, AIR (Anticipation-Influence-Reaction), is proposed to capture the feedback relationship between the decisions made by constituents and those made by the managers of the SoS. AIR is then used to develop a five-member set of basic influences that can bring about changes in constituent behavior thus modifying the SoS. These influences, the 5 I's, are Incentives, Information, Infrastructure, Integration, and Institutions. AIR and the influences are demonstrated through qualitative application to real-world SoS and quantitatively through a simulation of an inter-modal transport network. It is found that cooperation between competing constituents can be quite fragile and sensitive to the SoS context. Careful, dynamic planning of influence strategies is needed to maintain SoS behavior in the face of constituents who are driven by self-interest and a limited, local perspective of the SoS. 2013-11-21T19:11:13Z 2013-11-21T19:11:13Z 2012-07 Article http://purl.org/eprint/type/JournalArticle 978-1-4673-2975-0 978-1-4673-2974-3 978-1-4673-2973-6 http://hdl.handle.net/1721.1/82527 Shah, Nirav B., Joseph M. Sussman, Donna H. Rhodes, and Daniel E. Hastings. “Influence strategies for systems of systems.” In 2012 7th International Conference on System of Systems Engineering (SoSE), 471-478. Institute of Electrical and Electronics Engineers, 2012. https://orcid.org/0000-0001-6941-2124 https://orcid.org/0000-0003-4421-5110 en_US http://dx.doi.org/10.1109/SYSoSE.2012.6384205 Proceedings of the 2012 7th International Conference on System of Systems Engineering (SoSE) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers Prof. Hastings via Angie Locknar
spellingShingle Shah, Nirav B.
Sussman, Joseph M.
Rhodes, Donna H.
Hastings, Daniel E.
Influence strategies for systems of systems
title Influence strategies for systems of systems
title_full Influence strategies for systems of systems
title_fullStr Influence strategies for systems of systems
title_full_unstemmed Influence strategies for systems of systems
title_short Influence strategies for systems of systems
title_sort influence strategies for systems of systems
url http://hdl.handle.net/1721.1/82527
https://orcid.org/0000-0001-6941-2124
https://orcid.org/0000-0003-4421-5110
work_keys_str_mv AT shahniravb influencestrategiesforsystemsofsystems
AT sussmanjosephm influencestrategiesforsystemsofsystems
AT rhodesdonnah influencestrategiesforsystemsofsystems
AT hastingsdaniele influencestrategiesforsystemsofsystems