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The purpose of this paper is to identify potential reasons for the success of an innovative work-based learning (WBL) shell framework in an adverse environment.

Case study is the experience of one programme.

Demand-led, flexible WBL programmes have to overcome a number of internal cultural and institutional barriers in order to succeed. Important requirements are likely to include effective leadership, financial viability, adherence to quality assurance, adaptability, entrepreneurialism and a cohesive community of practice incorporating these traits.

The conclusions are drawn from shared experience and are suggestive only as they are not readily susceptible to empirical verification. The authors accept that the conclusions appear speculative for some, but they suggest that in order for innovative programmes to survive, more is required than sound pedagogy.

Although lessons may not be directly transferable, the paper draws attention to the importance of managerial, leadership and organisational factors necessary for innovative WBL programmes to survive and develop.

There is some literature on why some innovative higher education programmes and institutions have failed; however, there is little on why some programmes are successful.

NL Chemicals/NL Industries Inc announce the acquisition of Victor Wolf Industries Ltd, the UK based producer of polyamide resins, plastics additives, and other speciality chemicals.

The most obvious symptom of the most obvious trend in the building of new libraries is the fact that, as yet, no spade has entered the ground of the site on Euston Road, London, upon which the new building for the British Library Reference Division has to be erected. Some twenty years of continued negotiation and discussion finally resulted in the choice of this site. The UK and much more of the world awaits with anticipation what could and should be the major building library of the twentieth century. The planning and design of a library building, however large or small, is, relatively speaking, a major operation, and deserves time, care and patience if the best results are to be produced.

‘Britain will have in the future, as in the past, the finest public library service in the world.’ That was the prediction of Richard Luce, Minister for the Arts, speaking at the CLSI Annual Lecture on Library Automation. The Minister was speaking at the invitation of Patrick Regester, Managing Director of CLSI, who invited Mr. Luce to outline his proposals for the future financing of public libraries in England as published in the Government's Green Paper, Financing our Public Libraries.

When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi‐criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed‐upon criteria and decision tools to enhance a pre‐existing local health technology assessment (HTA) decision support program.

The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools.

A set of user‐validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent.

This framework can be used by others to develop decision‐making criteria and tools to enhance similar technology adoption programs.

The development of clear, user‐validated criteria for evaluating new technologies adds a critical element to improve decision‐making on technology adoption, and the decision tools ensure consistency, transparency, and real‐world relevance.