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Knowledge capture to inform sustainable maritime operations

Andrei Kuznetsov (Plymouth Graduate School of Management, Plymouth University, Plymouth, UK)
John Dinwoodie (Plymouth Graduate School of Management, Plymouth University, Plymouth, UK)
David Gibbs (Department of Geography, Hull University, Hull, UK)
Mark Sansom (Falmouth Harbour Commissioners, Falmouth, UK)
Harriet Knowles (Falmouth Harbour Commissioners, Falmouth, UK)

International Journal of Operations & Production Management

ISSN: 0144-3577

Article publication date: 3 July 2017

Abstract

Purpose

The purpose of this paper is to report an explicit taxonomy of maritime operations (MO) to guide harbour masters (HMs) 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 1, ethnographic content analysis (ECA) of a sparse prior literature on MO generated a tentative taxonomy. In Stage 2, interviews to capture tacit practitioner knowledge refined the 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.

Keywords

Acknowledgements

Funding from European Social Fund, Combined Universities of Cornwall is acknowledged.

Citation

Kuznetsov, A., Dinwoodie, J., Gibbs, D., Sansom, M. and Knowles, H. (2017), "Knowledge capture to inform sustainable maritime operations", International Journal of Operations & Production Management, Vol. 37 No. 7, pp. 882-897. https://doi.org/10.1108/IJOPM-10-2015-0657

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited