Status and professional association councils. Available in 4 volumes.

This thesis examines the predictive value of a conceptual distinction between status-seeking associations and status-maintaining associations for enhancing understanding of ten selected professional associations and of the attitudes, values, behaviour and policies of their governing organs. Thirty four specific hypotheses have been tested by such research methods as questionnaires administered to individuals and associations, participant observation and an examination of association minutes and publications. Certain hypotheses have been found to be valid for particular matched pairs and/or groups of associations. The findings of the study suggest that the present conceptualisation of profession, the individual professional, professionalism, professionalisation, professional status and that relating to the role of the professions in society needs to be refined and modified in varying degrees in application to accounting associations, business graduate associations and management associations. The concept of the `ideal type' profession is shown to be of limited value in understanding certain aspects of the activities of business graduate and management associations. The findings of the study suggest that in future the professional associations examined may attach less importance to their qualifying role and lay more stress upon their representational role. The professional association faces a managerial challenge to adjust and adapt to a range of `external' pressures and `internal' demands from members and may increasingly need to be regarded as an organisation that possesses certain combinations or sets of characteristics rather than as a type of organisation that possesses a particular or relatively exclusive set. With a blurring of the distinction between the professional and state sector vocational education, and a growing customer/market orientation associated with the changing nature of work, membership of a professional association may, in future, come to be associated rather more with securing access to a relevant range of services and less with qualification for a particular career.

Disentangling patient and public involvement in healthcare decisions:why the difference matters

Patient and public involvement has become an integral aspect of many developed health systems and is judged to be an essential driver for reform. However, little attention has been paid to the distinctions between patients and the public, and the views of patients are often seen to encompass those of the general public. Using an ideal-type approach, we analyse crucial distinctions between patient involvement and public involvement using examples from Sweden and England. We highlight that patients have sectional interests as health service users in contrast to citizens who engage as a public policy agent reflecting societal interests. Patients draw on experiential knowledge and focus on output legitimacy and performance accountability, aim at typical representativeness, and a direct responsiveness to individual needs and preferences. In contrast, the public contributes with collective perspectives generated from diversity, centres on input legitimacy achieved through statistical representativeness, democratic accountability and indirect responsiveness to general citizen preferences. Thus, using patients as proxies for the public fails to achieve intended goals and benefits of involvement. We conclude that understanding and measuring the impact of patient and public involvement can only develop with the application of a clearer comprehension of the differences.

Type-2 TOPSIS:a group decision problem when ideal values are not extreme endpoints

In the traditional TOPSIS, the ideal solutions are assumed to be located at the endpoints of the data interval. However, not all performance attributes possess ideal values at the endpoints. We termed performance attributes that have ideal values at extreme points as Type-1 attributes. Type-2 attributes however possess ideal values somewhere within the data interval instead of being at the extreme end points. This provides a preference ranking problem when all attributes are computed and assumed to be of the Type-1 nature. To overcome this issue, we propose a new Fuzzy DEA method for computing the ideal values and distance function of Type-2 attributes in a TOPSIS methodology. Our method allows Type-1 and Type-2 attributes to be included in an evaluation system without compromising the ranking quality. The efficacy of the proposed model is illustrated with a vendor evaluation case for a high-tech investment decision making exercise. A comparison analysis with the traditional TOPSIS is also presented. © 2012 Springer Science+Business Media B.V.