Search results

One of the rapidly growing bodies of literature on sustainability in higher education focuses on the competencies students should master to bring about the necessary transformation toward a sustainable future. Given the influential nature of this particular scholarship on curricula and programs, this study aims to assess its trajectory based on bibliometric analyses.

More specifically, authors conducted coauthorship, direct citations of articles and journals and bibliographic coupling analyses to identify the scholars and publications that have shaped the subfield of higher education sustainability competency research.

Findings show that despite the growth in higher education sustainability competency scholarship, this important subfield in higher education for sustainable development (HESD) has been a relatively narrow one. Contributing scholars, coauthor publications mainly with each other, cite each other and draw from a shared pool of research primarily by individuals from the Global North.

Scholars seeking to advance sustainability competency scholarship are encouraged to engage with individuals who can bring more diverse perspective on the knowledge, skills and mindsets higher education students need to master, to ensure that they can transform their communities toward a sustainable future in just ways. Integrating environmental/social justice, traditional knowledge and decolonizing perspectives from academics and sustainability leaders from minoritized groups and the Global South have the potential to result in important, new contributions.

Although prior scholars have examined HESD, including higher education sustainability education through bibliometric analysis, none have focused on assessing the higher education sustainability competency literature specifically. Given the influence this particular body of scholarship has already had, and will increasingly have, on preparing students for leading a just transition toward sustainability, this finding of this subfield’s limited diversity is important to highlight and address moving forward.

This chapter addresses research on worker skill, technology, and control over the labor process by focusing on routine immaterial labor or knowledge work. Based on participant observation conducted among analytics workers at a digital publishing network, I find that analytics workers appear paradoxically autonomous and empowered by management while being bound by ever-evolving, calculative cloud-based information and communication technologies (ICTs). Workers appear free to “be creative,” while ever-evolving ICTs exert unpredictable control over work. Based on this finding, I argue that sociology’s tendency to take organizational boundaries and technological stability for granted hampers analyses of contemporary forms of work. Thus, sociologists of work must extend outward – beyond communities of practice, labor markets, and the state – to include the ever-evolving, infrastructural, socio-technical networks in which work and organizations are embedded. Additionally, research on the experience of immaterial labor suggests that ICTs afford pleasurably immersive experiences that bind workers to organizations and their fields. Complicating this emerging body of research, I find workers acutely frustrated by these unpredictable, ever-evolving, cloud-based ICTs.

Data fusion and the combination of multiple data sources have been part of travel survey processes for some time. In the current context, where technologies and information systems spread and become more and more diverse, the transportation community is getting more and more interested in the potential of data fusion processes to help gather more complete datasets and help give additional utility to available data sources. Research is looking for ways to enhance the available information by using both various data collection methods and data from various sources, surveys or observation systems. Survey response rates are decreasing over the world, and combining survey modes appears to be an interesting way to address this problem. Letting interviewees choose their survey mode allows increasing response rates, but survey mode could impact the data collected. This paper first discusses issues rising when combining survey modes within the same survey and presents a method to merge the data coming from different survey modes, in order to consolidate the database. Then, it defines and describes the data fusion process and discusses how it can be relevant for transportation analysis and modelling purposes. Benefiting from the availability of various datasets from the Greater Montréal Area and the Greater Lyon Area, some applications of data fusion are constructed and/or reproduced to illustrate and test some of the methods described in the literature.

This study aims to explore the interplay between community dynamics and knowledge production using the quantum computing research field as a case study. Quantum computing holds the promise of dramatically increasing computation speed and solving problems that are currently unsolvable in a short space of time. In this highly dynamic area of innovation, computer companies, research laboratories and governments are racing to develop the field.

After constructing temporal co-authorship networks, the authors identify seven different events affecting communities of researchers, which they label: forming, growing, splitting, shrinking, continuing, merging, dissolving. The authors then extract keywords from the titles and abstracts of their contributions to characterize the dynamics of knowledge production and examine the relationship between community events and knowledge production over time.

The findings show that forming and splitting are associated with retaining in memory what is currently known, merging and growing with the creation of new knowledge and splitting, shrinking and dissolving with the curation of knowledge.

Although the link between communities and knowledge has long been established, much less is known about the relationship between the dynamics of communities and their link with collective cognitive processes. To the best of the authors’ knowledge, the present contribution is one of the first to shed light on this dynamic aspect of community knowledge production.

Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference works, histories, themes, theory and criticism and articles in journals.

Purpose – Starting from public and corporate governance literature, the chapter aims to evidence the opportunity in exploring board of directors in public organisations, where the focus is on a behavioural perspective.Design/methodology/approach – Presenting two levels of analysis: (a) the relationship between the board and ‘external’ stakeholders, and (b) the relationship between the board and managers, a framework is proposed evidencing which factors (variables, constructs and concepts) logically should be considered as part of the explanation of boards’ role in public organisations’ innovation.Findings – The chapter provides support for a board model in public governance, evidencing both the opportunity to assume a multi-paradigm perspective and the existing similarities and differences between boards in public and corporate governance approach. It is possible, for example, to empirically apply the framework both to different national context and to different levels of public organisations.Originality/value of chapter – The chapter presents theoretical perspectives on governance research, and both some pioneer studies in public sector research and some of the major contribution in corporate governance studies. All of them have been put together, introducing a new stream of research in the debate on the micro (organisational) level of governance in public sector.

For robot motion planning there exists a large number of different algorithms, each appropriate for a certain domain, and the right choice of planner depends on the specific use case. The purpose of this paper is to consider the application of bin picking and benchmark a set of motion planning algorithms to identify which are most suited in the given context.

The paper presents a selection of motion planning algorithms and defines benchmarks based on three different bin-picking scenarios. The evaluation is done based on a fixed set of tasks, which are planned and executed on a real and a simulated robot.

The benchmarking shows a clear difference between the planners and generally indicates that algorithms integrating optimization, despite longer planning time, perform better due to a faster execution.

The originality of this work lies in the selected set of planners and the specific choice of application. Most new planners are only compared to existing methods for specific applications chosen to demonstrate the advantages. However, with the specifics of another application, such as bin picking, it is not obvious which planner to choose.