Dublin City University

About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Context (language use) & Machine translation. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.

Interventions for promoting participation in shared decision-making for children with cancer

Abstract: Ways of helping children with cancer to take part in decisions about their health care Cancer is a serious illness that involves complex treatments with unpleasant side effects. Children with cancer generally prefer to be involved in some way in decisions about their care and treatment. Involving children in decisions about their health care can help their understanding of the disease and treatment, reduce their fears, help them feel more prepared and help them cope better with their cancer. The review of trials did not find any studies that helped children to participate in decision-making with parents and healthcare staff. More research is needed.

Talent management: advancing the field

Abstract: This special issue brings together a selection of the best papers from the inaugural international workshop on talent management (TM), which was held in Brussels, Belgium in May of 2012. The worksh...

Building routines for non-routine events: supply chain resilience learning mechanisms and their antecedents

Abstract: Purpose Organisations must build resilience to be able to deal with disruptions or non-routine events in their supply chains. While learning is implicit in definitions of supply chain resilience (SCRes), there is little understanding of how exactly organisations can adapt their routines to build resilience. The purpose of this study is to address this gap. Design/methodology/approach This paper is an in-depth qualitative case study based on 28 interviews across five companies, exploring learning to build SCRes. Findings This study uncovers six learning mechanisms and their antecedents that foster SCRes. The learning mechanisms identified suggest that through knowledge creation within an organisation and knowledge transfer across the supply chain and broader network of stakeholders, operating routines are built and/or adapted both intentionally and unintentionally during three stages of a supply chain disruption: preparation, response and recovery. Practical implications This study shows how the impact of a supply chain disruption may be reduced by intentional and unintentional learning in all three disruption phases. By being aware of the antecedents of unintentional learning, organisations can more consciously adapt routines. Furthermore, findings highlight the potential value of additional attention to knowledge transfer, particularly in relation to collaborative and vicarious learning across the supply chain and broader network of stakeholders not only in preparation for, but also in response to and recovery from disruptions. Originality/value This study contributes novel insights about how learning leads both directly and indirectly to the evolution of operating routines that help an organisation and its supply chains to deal with disruptions. Results detail six specific learning mechanisms for knowledge creation and knowledge transfer and their antecedents for building SCRes. In doing so, this study provides new fine-grained theoretical insights about how SCRes can be improved through all three phases of a disruption. Propositions are developed for theory development.

Tagging recombinant proteins to enhance solubility and aid purification.

Abstract: Protein fusion technology has enormously facilitated the efficient production and purification of individual recombinant proteins. The use of genetically engineered affinity and solubility-enhancing polypeptide "tags" has increased greatly in recent years and there now exists a considerable repertoire of these that can be used to solve issues related to the expression, stability, solubility, folding, and purification of their fusion partner. In the case of large-scale proteomic studies, the development of purification procedures tailored to individual proteins is not practicable, and affinity tags have therefore become indispensable tools for structural and functional proteomic initiatives that involve the expression of many proteins in parallel. Here, the rationale and applications of a range of established and more recently developed solubility-enhancing and affinity tags are outlined.