Knowledge capture to inform sustainable maritime operations

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

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.

Citation

Kuznetsov, A., Dinwoodie, J., Gibbs, D., Sansom, M., & Knowles, H. (2017). Knowledge capture to inform sustainable maritime operations. International Journal of Operations and Production Management, 37(7), 882-897. https://doi.org/10.1108/IJOPM-10-2015-0657

• Journal Article Type: Article
• Acceptance Date: Nov 3, 2016
• Publication Date: Jul 3, 2017
• Deposit Date: Nov 8, 2016
• Publicly Available 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
• Public URL: https://hull-repository.worktribe.com/output/444999
• 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.