Sentence examples for high performance management from inspiring English sources

Studies suggest that when organizations place a higher value on their employees, through the implementation of high performance management systems (HPMSs), their business performance improves.

"Nick's record in high performance management and the development of the academy programme is second to none".

The model was submitted according to owner and operator's requirements in a desired format to keep high performance management and to upgrade efficiency of maintenance work.

Similarly to these authors, we argue that this organisational change may improve productivity by enhancing some of the practices that have been signalised as high performance management practices [21].

"Nick's record in high performance management and the development of the academy programme is second to none". Johnston will work at Sixways alongside Ryan, head coach Carl Hogg, backs coach Shane Howarth, defence coach Simon Cross, academy transition manager Sam Vesty and veteran prop Ceri Jones, who is the scrum coach.

Those who do will develop organizations in which pay practices actually contribute rather than detract from building high-performance management systems.

New digital tools, coupled with behavioral economics/choice architectures, invite a fundamental rethink about creating high-performance performance management.

(This was similar to another survey in which 54% of organizations said they revise their goals once per year or not at all; see S.S. Garr, "High-Impact Performance Management: Using Goals to Focus the 21st-Century Workforce," Bersin by Deloitte, December 2014, page 11).

40 Many of the constructs of the nursing practice environment are consistent with West et al's high performance human resource management system 42 including training, performance management, participation, decentralisation, involvement, use of teams and employment security which were related to lower risk adjusted mortality rates in a study in English NHS hospitals.

This paper presents a framework to support spatially explicit agroecosystem modeling and data analysis over large landscape, which includes four major phases of agroecosystem simulation: simulation data preparation, site-based simulation on high performance computers, data management and data analysis.

In others the workload is too high and the performance management process is flawed.