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Institution

University of Salford

EducationSalford, Manchester, United Kingdom
About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a case study where a collaborative knowledge management solution is implemented across a multi-functional construction company is presented, where a social web application was implemented to solve a particular knowledge sharing problem within the organisation's concrete pumping business.

269 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an interdisciplinary literature review and research agenda and suggest a number of propositions, in advance of new fieldwork, to discover a revised or new theory of internal marketing as it relates to organizational change management.
Abstract: Presents an interdisciplinary literature review and research agenda and suggests a number of propositions, in advance of new fieldwork, to discover a revised or new theory of internal marketing as it relates to organizational change management. The literature on marketing, services marketing, corporate strategy, total quality management, operations management, human resource management, and organizational development reveals a body of work referring to or describing an “internal marketing” concept or internal customer concept. This seems to have grown out of an organizational internal communications perspective and the notion of an “inner market” in the organization comprising “internal customers”. Provides an extensive overview of tactical and strategic issues relating to internal marketing. Presents a resulting model and includes a comprehensive bibliography is included, with suggestions for some themes for possible fruitful research in this area of change management and service quality management.

267 citations

Journal ArticleDOI
TL;DR: The aim was to compare glycaemic control among people with Type 1 diabetes using data gathered in regional or national registries to reduce complications.
Abstract: Aims Improving glycaemic control in people with Type 1 diabetes is known to reduce complications. Our aim was to compare glycaemic control among people with Type 1 diabetes using data gathered in regional or national registries. Methods Data were obtained for children and/or adults with Type 1 diabetes from the following countries (or regions): Western Australia, Austria, Denmark, England, Champagne-Ardenne (France), Germany, Epirus, Thessaly and Thessaloniki (Greece), Galway (Ireland), several Italian regions, Latvia, Rotterdam (The Netherlands), Otago (New Zealand), Norway, Northern Ireland, Scotland, Sweden, Volyn (Ukraine), USA and Wales) from population or clinic-based registries. The sample size with available data varied from 355 to 173 880. Proportions with HbA1c < 58 mmol/mol (< 7.5%) and ≥ 75 mmol/mol (≥ 9.0%) were compared by age and sex. Results Data were available for 324 501 people. The proportions with HbA1c 58 mmol/mol (< 7.5%) varied from 15.7% to 46.4% among 44 058 people aged < 15 years, from 8.9% to 49.5% among 50 766 people aged 15–24 years and from 20.5% to 53.6% among 229 677 people aged ≥ 25 years. Sex differences in glycaemic control were small. Proportions of people using insulin pumps varied between the 12 sources with data available. Conclusion These results suggest that there are substantial variations in glycaemic control among people with Type 1 diabetes between the data sources and that there is room for improvement in all populations, especially in young adults.

266 citations

Journal ArticleDOI
TL;DR: In this article, the mid and far-infrared spectra of water in argon and nitrogen matrices have been investigated and a detailed concentration-dependent study enabled bands to be attributed to dimer, trimer, and tetramer or higher multimers.

262 citations

Journal ArticleDOI
TL;DR: There is no overall best statistical technique used in building scoring models and the best technique for all circumstances does not yet exist, but the applications of the scoring methodologies have been widely extended to include different areas and this subsequently can help decision makers, particularly in banking, to predict their clients' behaviour.
Abstract: Credit scoring has been regarded as a core appraisal tool of different institutions during the last few decades and has been widely investigated in different areas, such as finance and accounting. Different scoring techniques are being used in areas of classification and prediction, where statistical techniques have conventionally been used. Both sophisticated and traditional techniques, as well as performance evaluation criteria, are investigated in the literature. The principal aim of this paper, in general, is to carry out a comprehensive review of 214 articles/books/theses that involve credit scoring applications in various areas but in particular primarily in finance and banking. This paper also aims to investigate how credit scoring has developed in importance and to identify the key determinants in the construction of a scoring model, by means of a widespread review of different statistical techniques and performance evaluation criteria. Our review of literature revealed that there is no overall best statistical technique used in building scoring models and the best technique for all circumstances does not yet exist. Also, the applications of the scoring methodologies have been widely extended to include different areas, and this subsequently can help decision makers, particularly in banking, to predict their clients' behaviour. Finally, this paper also suggests a number of directions for future research

261 citations


Authors

Showing all 13134 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Michael P. Lisanti15163185150
Matthew Jones125116196909
David W. Denning11373666604
Wayne Hall111126075606
Richard Gray10980878580
Christopher E.M. Griffiths10867147675
Thomas P. Davis10772441495
Nicholas Tarrier9232625881
David M. A. Mann8833843292
Ajith Abraham86111331834
Federica Sotgia8524728751
Mike Hulme8430035436
Robert N. Foley8426031580
Richard Baker8351422970
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022139
2021880
2020888
2019842
2018781