The Kunming-Montreal Global Biodiversity Framework, launched during the United Nations Biodiversity Conference in December 2022, encourages governments, companies and investors to publish data on their nature-related risks, dependencies and impacts. These disclosures are intended to drive businesses to recognise, manage and mitigate their reliance on ecosystem goods and services. However, there is a ‘biodiversity blind spot’ that is evident for most organisations and business schools. Business education rarely addresses the root causes of biodiversity loss, such as the unsustainable exploitation of natural resources. As the dominant positioning of Education for Sustainable Development Goals (ESDG) presents biodiversity in anthropocentric instrumental terms inadequate for addressing ecosystem decline, we posit that a more progressive and transformative ecocentric education through ecopedagogy and ecoliteracy is needed. Both approaches include the development of critical thinking about degrowth, the circular economy and conventional stakeholder theory to include non-human stakeholders. Using comparative case studies from Northumbria University, the University of Hong Kong and Amsterdam University of Applied Sciences, we illustrate how business education can be transformed to address biodiversity loss, providing theoretical guidance and practical recommendations to academic practitioners and future business leaders.
The development of the World Wide Web, the emergence of social media and Big Data have led to a rising amount of data. Infor¬mation and Communication Technol¬ogies (ICTs) affect the environment in various ways. Their energy consumption is growing exponentially, with and without the use of ‘green’ energy. Increasing envi¬ronmental aware¬ness has led to discussions on sustainable development. The data deluge makes it not only necessary to pay attention to the hard‑ and software di¬mensions of ICTs but also to the ‘value’ of the data stored. In this paper, we study the possibility to methodically reduce the amount of stored data and records in organizations based on the ‘value’ of informa¬tion, using the Green Archiving Model we have developed. Reducing the amount of data and records in organizations helps in allowing organizations to fight the data deluge and to realize the objectives of both Digital Archiving and Green IT. At the same time, methodi¬cally deleting data and records should reduce the con¬sumption of electricity for data storage. As a consequencs, the organizational cost for electricity use should be reduced. Our research showed that the model can be used to reduce [1] the amount of data (45 percent, using Archival Retention Levels and Retention Schedules) and [2] the electricity con¬sumption for data storage (resulting in a cost reduction of 35 percent). Our research indicates that the Green Ar¬chiving Model is a viable model to reduce the amount of stored data and records and to curb electricity use for storage in organi¬zations. This paper is the result of the first stage of a research project that is aimed at devel¬oping low power ICTs that will automa¬tically appraise, select, preserve or permanently delete data based on their ‘value’. Such an ICT will automatically reduce storage capacity and reduce electricity con¬sumption used for data storage. At the same time, data dispos¬al will reduce overload caused by storing the sa¬me data in different for¬mats, it will lower costs and it reduces the po¬tential for liability.
