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How artificial intelligence can support the maritime industry in the prevention of greenwashing to reach its net zero target by 2050

Author

Listed:
  • Neise, Rolf

    (International School of Management, Germany)

  • Wagner, Valentina

    (International School of Management, Germany)

Abstract

The maritime economy is facing major challenges. The International Maritime Organisation’s (IMO) newly defined regulations place high demands on an industry that has long rested on being the most environmentally friendly transport mode (in terms of carbon dioxide emission per tonnekilometre). But times have changed. Nowadays we have an increasing demand from stakeholders for real sustainable business solutions and also an equally growing desire for transparency. Due to these regulations and increasing expectations regarding environmental standards, the problem of greenwashing, the practice of conveying misleading information about the environmental friendliness of a product or service, has risen. The maritime industry is, as many other industries, vulnerable to these practices. This paper contextualises the relevance of greenwashing in the maritime industry and establishes an imperative for an artificial intelligence (AI)-driven approach to combat greenwashing through a comprehensive theoretical and practical framework. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Suggested Citation

  • Neise, Rolf & Wagner, Valentina, 2025. "How artificial intelligence can support the maritime industry in the prevention of greenwashing to reach its net zero target by 2050," Journal of Supply Chain Management, Logistics and Procurement, Henry Stewart Publications, vol. 7(4), pages 395-414, June.
  • Handle: RePEc:aza:jscm00:y:2025:v:7:i:4:p:395-414
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    More about this item

    Keywords

    artificial intelligence; AI; greenwashing; maritime industry; pollution caused by ships; net zero;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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