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Although doctoral education has experienced substantial development in recent decades, it remains an elite, hence fragile, dimension of university policy and practice. This study aims to articulate perspectives to guide the next phase of strengthening and growth.

Working from theoretical and empirical research conducted in China, including scholarship on workforce ecosystems, education design and the student experience, this study contributes a framework with qualitative insights which clarify the goals and experiences of doctoral education in ways that will render it more relevant, effective and contributing.

The paper identifies areas for doctoral reform to ensure career readiness, including three distinctive outcomes and four indispensable experiences.

This study advances a doctoral design framework which can render transparent the substance of programs and prompt program coordinators to develop and ensure career relevance.

Our work adds to the debate regarding higher education graduates’ skills required in the labour market in Germany and beyond.

Using Q-methodology and the accompanying narrations, we explore German employers’ and employees’ views (N = 26) on characteristics required at the entry level.

Our findings show three areas of the labour market with different skill requirements. Whereas the first area, “The world of rules”, applies more likely to the professions and academia, the two other areas, “The middle field” and “The people-oriented and critical market”, can be found throughout the labour market. The disciplinary affiliation does not play a role. In all three areas, soft skills are crucial and specialised knowledge is only highly valued in the area of “The world of rules”.

In contrast to previous findings, we do not focus on singular skills. Instead, we focus on skill sets and discuss their relevance from the background of their usability.

The UK Government has committed to achieving net-zero emissions by 2050, being the first major nation to do so. While laudable, it raises the question, “are future built environment professionals (BEPs) equipped for this?” Although studies related to students’ perspectives exist, they broadly focus on sustainability-related pedagogical aspects, with limited studies conducted in the built environment (BE). This study makes the case that it is timely to investigate this from an emerging perspective using the term “low-carbon future” (LCF), given that it is germane to achieving net-zero emissions and is at the forefront of academic and practice discourse. Therefore, this paper aims to investigate the knowledge level of UK BE students’ in higher education institutions (HEIs) specific to the term LCF.

This is a systematic scoping study review of published papers related to sustainability in BE curricula in the UK HEI context.

The findings reveal that LCF remains at a nascent stage, with no study specifically addressing it. It indicates a knowledge gap that could impact the grounding students require to address current and future sustainability challenges.

The review focused on a specific term, which, while relevant, is very niche. A review of other emerging terms, considering LCF as a theme, and/or empirical data from diverse stakeholders in UK HEIs could enrich the results.

This study provides significant insight into the status of sustainability inclusion in the BE curriculum. It would serve as a reference for stakeholders involved in equipping future BEPs with the requisite knowledge and skills to deal with sustainability challenges that will be consequential beyond the UK context. It would also inform future research.

Sustainability-informed and equipped BEPs will be influential in shaping their immediate surroundings and how people engage with them, which will contribute to developing a more equitable and sustainable society.

Beyond contributing to the discourse on sustainability literacy in UK HEI from an emerging concept perspective, this study would be useful as possibly the first of its kind. Therefore, it fills the theoretical gap and proffers recommendations that would be beneficial for curriculum development.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

The purpose of this study is to examine tacit knowledge sharing within information systems development (ISD) projects by exploring the combination of social interdependence theory and regulatory focus theory (RFT).

A survey was conducted on 198 ISD professionals to investigate the effect of social interdependence on tacit knowledge sharing. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM), and the results were discussed.

This study reveals that team members tend to share tacit knowledge in a way characterized by cooperative interdependence, and different patterns of social interdependence have an impact on tacit knowledge sharing. The RFT explains the disparities in attitude toward tacit knowledge sharing. Specifically, individuals with a prevention-focused orientation positively moderate the impact of competitive interdependence on tacit knowledge sharing, while those with a promotion-focused orientation have a negative moderating effect on the effect of competitive interdependence on tacit knowledge sharing. Moreover, promotion-focused individuals negatively moderate the effect of cooperative interdependence on tacit knowledge sharing.

The study identifies important aspects of social interdependence in ISD projects that affect the management of tacit knowledge. Furthermore, the study shows that the influence of cooperative and competitive interdependence on tacit knowledge sharing is moderated by the regulatory focus of an individual, providing new insights into ISD knowledge management.