Search results

The purpose of this research is to improve the understanding of what constitutes a successful thesis proposal (TP) and as such enhance the quality of the TP writing in architecture, planning and related disciplines.

Based on extended personal experience and a review of relevant literature, the authors proposed a conception of a successful TP comprising 13 standard components. The conception provides specific definition/s, attributes and success rules for each component. The conception was applied for 15 years on several batches of Saudi graduate students. The implications of the conception were assessed by a students' opinion survey. An expert inquiry of experienced academics from architectural schools in nine countries was applied to validate and improve the conception.

Assessment of the proposed conception demonstrated several positive implications on students' knowledge, performance and outputs which illustrates its applicability in real life. Experts' validation of the conception and constructive remarks have enabled further improvements on the definitions, attributes and success rules of the TP components.

The proposed TP conception with its 13 components is limited to standard problem-solving research and will differ in the case of other types such as hypothesis-based research.

The proposed conception is a useful directive and evaluative tool for writing and assessing thesis proposals for graduate students, academic advisors and examiners.

The research contributes to improving the quality of thesis production process among the academic community in the built environment fields.

The paper is meant to alleviate the confusion and hardship caused by the absence of a consensus on what constitutes a successful TP in the fields of architecture, urban planning and related disciplines.

The authors study the effect of increasing environmental awareness on shareholders' activism. Specificallly, this study aims to examine whether growing environmental awareness is reflected in more aggressive environmental shareholder proposals.

This study uses the 2010 Deepwater Horizon oil spill disaster as an exogenous event that increased shareholders' environmental awareness. This study analyzes the spill’s effect on the tone of proposals about environmental issues and nonenvironmental topics.

After the disaster, the tone of environmental proposals (i.e. the treatment group) is significantly more negative. In contrast, the tone of nonenvironmental proposals (i.e. the control group) is unaffected. This study interprets this finding as direct evidence that the oil spill led to increased shareholder environmental activism through proposals that targeted the environmental risks surrounding the business more aggressively. By contrast, this study finds no effect of the oil spill on the tone of managers' responses to the proposals, consistent with managers refraining from emphasizing environmental threats.

Anecdotal evidence and recent studies suggest a link between environmental disasters and shareholder pressure for corporate change. However, no prior research has investigated the channel through which shareholders could have exerted such pressure or has looked for direct evidence of it in the negotiations between shareholders and managers. By finding such evidence in shareholder proposals, this study fills in this gap.

The purpose of this paper is to raise awareness on the need for a more comprehensive approach on the interdependence between artificial intelligence (AI) and environmental sustainability. It provides an overview of existing sustainable AI policy initiatives at the national and regional level. More precisely, it discusses whether existing European Union (EU) environmental policies are suitable for the AI era or whether new regulations are needed in this field. Finally, this paper assesses cross-fertilisation opportunities between the EU and non-EU countries.

This study is based on a qualitative analysis of sustainable applications of AI and the sustainability of AI. Emphasis is laid on the latter, and a “sustainable by design” approach is proposed, which in essence is a prerequisite for transparent, responsible and human-centred AI systems. The analysis primarily focuses on environmental sustainability.

The majority of studies focus on how to use AI to protect the environment with very little attention paid to sustainable design of AI. On the other hand, the EU’s comprehensive approach towards sustainable AI is closest to promoting “sustainable by design” AI. Several ways have been identified in which the EU’s actions can be translated beyond its borders.

One of the largest limitations of this study is its moderate scope. This paper is confined to the EU and as such provides a limited assessment of global policies and measures on the interplay between sustainability and AI. Consequently, the paper did not provide an in-depth analysis of environmental policies worldwide that could help provide a better picture of possible cooperation areas or common grounds. Another limitation of this study is that it primarily focuses on environmental aspects and as such accords little attention to the economic and social pillars of sustainability.

With less than 10 years to go before reaching the sustainable development goal deadline, this study can help stakeholders better understand what is being done worldwide in terms of sustainable AI. Moreover, given that the technology is still in its early phase, this study can inspire a “sustainable by design” approach to the development of AI technologies.

All national AI strategies published by 1 June 2021 were analysed to identify whether and to what extent they prioritise the interplay between environment and AI. Furthermore, the authors also looked at the EU policy and how it aims to address AI from a sustainable perspective.