Heyes, Graeme ORCID: https://orcid.org/0000-0002-8073-1975, Urquhart, Cathy ORCID: https://orcid.org/0000-0001-7754-6085, Hooper, Paul ORCID: https://orcid.org/0000-0003-4681-0183 and Thomas, Callum (2023) Comprehensive Strategic Analysis for Sustainability: An Aviation Industry Case Study. Sustainability, 15 (11). 8806.
|
Published Version
Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
This paper presents a framework for strategic innovation, the Comprehensive Strategic Analysis for Sustainability, aimed at identifying climate risks faced by organisations and developing appropriate responses to enhance their resilience. The framework integrates the analytical tools of comprehensive strategic analysis with a range of sustainability methodologies to offer a holistic approach to sustainable innovation. The framework was tested through a case study on a large multinational airport retailer, which helped identify the drivers and barriers to sustainably oriented innovation. The application of the framework informed criteria for assessing the suitability for different sustainable business model archetypes to be implemented but did not identify specific sustainable business model innovations that were appropriate for the case firm, highlighting the complexities of managing scope 3 emissions without taking systems-level and multi-stakeholder approaches. The Comprehensive Strategic Analysis for Sustainability framework presents a valuable contribution to approaches for strategic sustainable innovation by acting as a useful lens through which sustainable business model innovation in large industries can be viewed. This study suggests that such holistic frameworks have significant value for the business community in transitioning to low-carbon business models to mitigate the challenges of the climate emergency, whilst the CSAfS framework demonstrates potential as an effective tool for organisations seeking to enhance their sustainability and resilience.
Impact and Reach
Statistics
Additional statistics for this dataset are available via IRStats2.