An international comparative analysis of sustainability transformation across seven universities

Autor: Didac Ferrer-Balas, Cliff I. Davidson, Y Motodoa, M Onga, A Hoshikoshi, S Banas, A Mishra, Madelene Ostwald, Jun Adachi
Rok vydání: 2008
Předmět:
Zdroj: International Journal of Sustainability in Higher Education. 9:295-316
ISSN: 1467-6370
DOI: 10.1108/14676370810885907
Popis: PurposeThe purpose of this paper is to identify the key aspects of transformation of universities towards sustainability, such as the ideal characteristics of the “sustainable university”, and the drivers and barriers in the transformation, by comparing the strategies of seven universities world‐wide.Design/methodology/approachA systems transformation analysis of seven case studies has been applied through a self‐evaluation based on the tridimensional Framework‐Level‐Actors (FLA) method.FindingsThe study shows that none of the three dimensions of change is predominant over the others. The main barrier to be overcome is the lack of incentive structure for promoting changes at the individual level. The main drivers for change are the presence of “connectors” with society, the existence of coordination bodies and projects, and the availability of funding, all of which are important for progress. Enhancing interdisciplinarity is a strategic objective at almost all of these universities, while transformative learning is less present. A common characteristic for most of the institutions is establishing and supporting networks of expertise within the universities. These universities show important strategic efforts and initiatives that drive and nucleate change for sustainable development, the result of a combination of drivers.Practical implicationsThe FLA‐method has proved useful for being used at the level of comparing case‐studies through a bird's‐eye perspective.Originality/valueThe paper demonstrates the application of a simple tool that gives a global perspective on transformational strategies used in seven cases world‐wide in the search for commonalities and differences.
Databáze: OpenAIRE