Developing “middle leaders” in the public services? The realities of management and leadership development for public managers

Purpose – This paper aims to assess the actual contribution to organisational change of management and leadership development (MLD) activity for middle managers (MMs) in public service organisations (PSOs). Design/methodology/approach – Using the case study approach, the paper compares the content and outcomes of management and leadership training interventions for MMs in two large PSOs. The organisations, a fire brigade and a train operating company, are leaders in their sectors with respect to management development and “modernisation” of their services. Findings – The paper demonstrates how, in one case, MM development was largely an exercise in regulatory compliance, with little effect on individual MMs' performance or organisational outcomes. The second case demonstrates how MMs were effectively trained to enforce specific human resource policies which contributed to the successful implementation of top-down strategy yet paid little attention to the potential leadership role of MMs. Research limitations/implications – The paper highlights the need for further contextualised research at organisational level into the outcomes of MLD, especially in terms of different public service contexts. Practical implications – The paper demonstrates the dangers of designing and implementing development programmes without sufficient regard to professional practice and the realities of managerial discretion in PSOs. Originality/value – The paper provides an in-depth and contextualised insight into the conditions for success and failure in management development interventions in PSOs.

Numerical and experimental studies of a substructural identification strategy

For structural health monitoring it is impractical to identify a large structure with complete measurement due to limited number of sensors and difficulty in field instrumentation. Furthermore, it is not desirable to identify a large number of unknown parameters in a full system because of numerical difficulty in convergence. A novel substructural strategy was presented for identification of stiffness matrices and damage assessment with incomplete measurement. The substructural approach was employed to identify large systems in a divide-and-conquer manner. In addition, the concept of model condensation was invoked to avoid the need for complete measurement, and the recovery process to obtain the full set of parameters was formulated. The efficiency of the proposed method is demonstrated numerically through multi-storey shear buildings subjected to random force. A fairly large structural system with 50 DOFs was identified with good results, taking into consideration the effects of noisy signals and the limited number of sensors. Two variations of the method were applied, depending on whether the sensor could be repositioned. The proposed strategy was further substantiated experimentally using an eight-storey steel plane frame model subjected to shaker and impulse hammer excitations. Both numerical and experimental results have shown that the proposed substructural strategy gave reasonably accurate identification in terms of locating and quantifying structural damage.