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The application of a system‐based risk management framework and social network analysis to the Maritime Autonomous Surface Ship system: who are the decision‐makers in the wider system?

The application of a system‐based risk management framework and social network analysis to the Maritime Autonomous Surface Ship system: who are the decision‐makers in the wider system?
The application of a system‐based risk management framework and social network analysis to the Maritime Autonomous Surface Ship system: who are the decision‐makers in the wider system?
Maritime Autonomous Surface Ships (MASS) currently have no formal regulations developed specifically for their operation, as their regulatory framework is still under development. Rasmussen's Risk Management Framework has been used to develop an actor map of the current MASS system in the UK, to show who the actors, decision-makers, and planners are within the wider sociotechnical system and the level at which they sit. From the actor map, two social networks were created, one to show the connections that currently exist between the actors within the MASS system and another to show what a future MASS system could look like if regulations and standards were put in place for MASS. Social Network Analysis was then used to investigate the wider MASS system's dynamics, to understand which actors currently have a high degree of influence within the UK MASS system, and where the shortfalls are in the current MASS system. The analysis showed that the industry and end user levels lacked support from the higher system levels, and the addition of formal regulations and standards in the future MASS system would increase the MASS system's resilience. System recommendations for each level in the Risk Management Framework were then made to suggest ways to increase the influence of the regulators and promote the safe operation of MASS.
Maritime Autonomous Surface Ships, risk management framework, social network analysis, sociotechnical system
395-429
Lynch, Kirsty Mary
b0bd6d0a-9cd7-4bf7-92ab-949c9d31eb65
Banks, Victoria
5b50d5cd-2dc5-463a-aaf8-b60764db7108
Roberts, Aaron P J
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Downes, Jon
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Radcliffe, Stewart
b37e358c-704c-40ff-a06d-a09ad4ca7e92
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
Lynch, Kirsty Mary
b0bd6d0a-9cd7-4bf7-92ab-949c9d31eb65
Banks, Victoria
5b50d5cd-2dc5-463a-aaf8-b60764db7108
Roberts, Aaron P J
024289ac-44bb-4b7a-9c58-28f08e2bc2f9
Downes, Jon
ebc0f09b-9d33-4815-bedf-bc77df59c822
Radcliffe, Stewart
b37e358c-704c-40ff-a06d-a09ad4ca7e92
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78

Lynch, Kirsty Mary, Banks, Victoria, Roberts, Aaron P J, Downes, Jon, Radcliffe, Stewart and Plant, Katherine (2023) The application of a system‐based risk management framework and social network analysis to the Maritime Autonomous Surface Ship system: who are the decision‐makers in the wider system? Human Factors and Ergonomics in Manufacturing & Service Industries, 33 (5), 395-429. (doi:10.1002/hfm.21000).

Record type: Article

Abstract

Maritime Autonomous Surface Ships (MASS) currently have no formal regulations developed specifically for their operation, as their regulatory framework is still under development. Rasmussen's Risk Management Framework has been used to develop an actor map of the current MASS system in the UK, to show who the actors, decision-makers, and planners are within the wider sociotechnical system and the level at which they sit. From the actor map, two social networks were created, one to show the connections that currently exist between the actors within the MASS system and another to show what a future MASS system could look like if regulations and standards were put in place for MASS. Social Network Analysis was then used to investigate the wider MASS system's dynamics, to understand which actors currently have a high degree of influence within the UK MASS system, and where the shortfalls are in the current MASS system. The analysis showed that the industry and end user levels lacked support from the higher system levels, and the addition of formal regulations and standards in the future MASS system would increase the MASS system's resilience. System recommendations for each level in the Risk Management Framework were then made to suggest ways to increase the influence of the regulators and promote the safe operation of MASS.

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Accepted/In Press date: 20 May 2023
e-pub ahead of print date: 5 June 2023
Published date: September 2023
Additional Information: Funding Information: This work was conducted as part of an Industrial Cooperative Awards in Science & Technology in collaboration with Thales UK Ltd. Any views expressed are those of the authors and do not necessarily represent those of the funding body. Publisher Copyright: © 2023 The Authors. Human Factors and Ergonomics in Manufacturing & Service Industries published by Wiley Periodicals LLC.
Keywords: Maritime Autonomous Surface Ships, risk management framework, social network analysis, sociotechnical system

Identifiers

Local EPrints ID: 478549
URI: http://eprints.soton.ac.uk/id/eprint/478549
PURE UUID: e0eaf42e-b656-4d51-98f2-d5ce3e15d793
ORCID for Kirsty Mary Lynch: ORCID iD orcid.org/0000-0003-4952-3964
ORCID for Jon Downes: ORCID iD orcid.org/0000-0003-2027-4474
ORCID for Katherine Plant: ORCID iD orcid.org/0000-0002-4532-2818

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Date deposited: 04 Jul 2023 17:49
Last modified: 17 Mar 2024 04:04

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Contributors

Author: Kirsty Mary Lynch ORCID iD
Author: Victoria Banks
Author: Aaron P J Roberts
Author: Jon Downes ORCID iD
Author: Stewart Radcliffe
Author: Katherine Plant ORCID iD

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