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Knowledge capture to inform sustainable maritime operations

Kuznetsov, Andrei; Dinwoodie, John; Gibbs, David; Sansom, Mark; Knowles, Harriet

Authors

John Dinwoodie

Harriet Knowles

Andrei Kuznetsov

Mark Sansom

Abstract

Knowledge capture to inform sustainable maritime operations Purpose - The purpose of this paper is to report an explicit taxonomy of maritime operations (MO) to guide Harbour Masters (HM)s of smaller ports in planning more sustainable operations. Design/methodology/approach - This research presents strategies for building theory to promote more sustainable port management in a two-stage research design. Starting from a base taxonomy in research stage one, ethnographic content analysis (ECA) of a sparse prior literature on MO generated a tentative taxonomy into a credible practitioner-informed final taxonomy. Findings - ECA offers researchers a powerful tool to analyse complex operational problems. In this paper MOs are represented in an explicit taxonomy. Practical implications - A final taxonomy of MOs guides sustainability strategy formulation by HMs and assists them to protect vital commercial revenues which serve supply chains and local communities. Originality/Value - An explicit final taxonomy of MO is derived using a novel methodology. The taxonomy guides sustainability strategy formulation and underpins subsequent planning of sustainable development policies.

Journal Article Type Article
Publication Date Jul 3, 2017
Journal International journal of operations and production management
Print ISSN 0144-3577
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 37
Issue 7
Pages 882-897
DOI https://doi.org/10.1108/IJOPM-10-2015-0657
Keywords Sustainable operation; Ethnographic content analysis; Maritime operations; Knowledge management
Publisher URL http://www.emeraldinsight.com/doi/abs/10.1108/IJOPM-10-2015-0657
Additional Information This is the accepted version of an article published in: International journal of operations and production management, 2017, v.37 issue 7.

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Copyright Statement
©2017 University of Hull

Version
AM - Accepted Manuscript



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