Mitigating the Davos dilemma: towards a global self-sustainability index

Dsouli, Ouarda; Khan, Nadeem; Kakabadse, Nada K.; Skouloudis, Antonis

doi:10.1080/13504509.2016.1278565

Cited by 10 publications

(8 citation statements)

References 74 publications

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“…As the former UN Secretary‐General, Ban Ki‐moon, aptly summarized “we are the first generation that can end poverty, and the last one that can take steps to avoid the worst impacts of climate change” (UN, ). The UN high‐level working groups have since been developing governance policies and reporting frameworks (Dsouli, Khan, Kakabadse, & Skouloudis, ; Hajer et al, ) aiming to engage the diverse stakeholder groups towards identified goals. This can be achieved, for example, by reshaping governmental and ministerial roles, adjusting industry standards and regulations, setting broader accounting and reporting mechanisms of transnational organizations, changing daily habits of local civil societies, and endorsing the sustainability‐specific transformation of private sector technologies as well as scientific innovations (Stafford‐Smith et al, ).…”

Section: Introductionmentioning

confidence: 99%

Advancing the Sustainable Development Goals: Evidence from leading European banks

Avrampou

Skouloudis

Iliopoulos

et al. 2019

Sustainable Development

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153

114

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The sustainable development goals (SDGs) reflect grand challenges that the global community needs to address in order to ensure economic welfare, environmental quality, social cohesion and prosperity for future generations. In this respect, the role of the banking sector, among other critical business entities and key stakeholders, is vital. The purpose of our paper is to examine how comprehensively the reported performance of banks aligns with the endorsement of SDGs. We employ the well‐established framework of the Global Reporting Initiative (GRI) performance indicators for a comparative assessment of the nonfinancial performance disclosed in the annual sustainability reports. Focusing on a small sample of leading European banks, we find an overall low contribution to SDGs. Furthermore, each bank's contribution remains particularly heterogeneous towards most individual SDG goals. Likewise, bank‐specific strategies drive the most extensively addressed SDGs, overlooking any critical importance of certain GRI indicators with multifaceted impact across several SDGs. The study sets forth managerial implications for improving effective reporting of SDG performance. It concludes with emerging opportunities for enhancing disclosure of SDGs contribution and highlights future research perspectives towards industry‐wide shared‐value appraisal under the scope of these pressing grand challenges.

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Section: Introductionmentioning

confidence: 99%

Advancing the Sustainable Development Goals: Evidence from leading European banks

Avrampou

Skouloudis

Iliopoulos

et al. 2019

Sustainable Development

Self Cite

153

114

View full text Add to dashboard Cite

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“…The existing literature on sovereign debt crisis prediction has focused mainly on emerging countries [7,10,11,[24][25][26][27][28]. For their part, some studies have addressed predictions of the sovereign debt crisis in emerging and developing countries [3,29,30].…”

Section: Sovereign Debt Crises Predictionmentioning

confidence: 99%

Sovereign Debt and Currency Crises Prediction Models Using Machine Learning Techniques

et al. 2021

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Sovereign debt and currencies play an increasingly influential role in the development of any country, given the need to obtain financing and establish international relations. A recurring theme in the literature on financial crises has been the prediction of sovereign debt and currency crises due to their extreme importance in international economic activity. Nevertheless, the limitations of the existing models are related to accuracy and the literature calls for more investigation on the subject and lacks geographic diversity in the samples used. This article presents new models for the prediction of sovereign debt and currency crises, using various computational techniques, which increase their precision. Also, these models present experiences with a wide global sample of the main geographical world zones, such as Africa and the Middle East, Latin America, Asia, Europe, and globally. Our models demonstrate the superiority of computational techniques concerning statistics in terms of the level of precision, which are the best methods for the sovereign debt crisis: fuzzy decision trees, AdaBoost, extreme gradient boosting, and deep learning neural decision trees, and for forecasting the currency crisis: deep learning neural decision trees, extreme gradient boosting, random forests, and deep belief network. Our research has a large and potentially significant impact on the macroeconomic policy adequacy of the countries against the risks arising from financial crises and provides instruments that make it possible to improve the balance in the finance of the countries.

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“…In addition, although 50% of these companies disclose their objectives of reducing greenhouse gas emissions, these reduction targets are not linked to global climate objectives, such as the Paris Agreement or the EU objectives [98]. In this regard, Dsouli et al [99] propose a global self-sustainability index for countries in four metrics-economic, environmental, social, and innovation.…”

Section: Corporate Social Responsibility and Sustainabilitymentioning

confidence: 99%

Biomimetic Organisations: A Management Model that Learns from Nature

Olaizola¹,

Morales-Sánchez

Huerta

2020

Sustainability

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Since the end of the last century, different approaches for corporate management have been appearing that try to incorporate the social advances that are being produced and disseminated thanks to the greater capacity of communication available through social networks and other traditional avenues. Among the best known are Corporate Social Responsibility, Sustainability, the Circular Economy, and Collaborative Economics. All of them add value to organisations, and all of them have a common characteristic: they are anthropocentric approaches. Our proposal goes a step further: we need a worldview that is capable of placing organisations in a position of continuous learning looking at nature, because it is the best way to integrate into it as a more ecosystem and thus achieve its flowering respecting the once to all the other subsystems that make up the planet: Organizational Biomimicry. This work compares the anthropocentric vision with the worldview at the same time that it offers a guide of the essential steps so that Organizational Biomimicry is the new model of corporate management.

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Mitigating the Davos dilemma: towards a global self-sustainability index

Cited by 10 publications

References 74 publications

Advancing the Sustainable Development Goals: Evidence from leading European banks

Advancing the Sustainable Development Goals: Evidence from leading European banks

Sovereign Debt and Currency Crises Prediction Models Using Machine Learning Techniques

Biomimetic Organisations: A Management Model that Learns from Nature

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