Evaluating the Performance Improvement Preferences of Disability Service Managers: An Exploratory Study Using Gilbert's Behavior Engineering Model

2016 ◽  
Vol 30 (4) ◽  
pp. 661-671 ◽  
Author(s):  
John R. Wooderson ◽  
Monica Cuskelly ◽  
Kim A. Meyer
Keyword(s):  
Performance Improvement ◽  
Exploratory Study ◽  
Engineering Model ◽  
Disability Service ◽  
Behavior Engineering Model ◽  
Behavior Engineering ◽  
Service Managers

Blending Front-End Analysis

2019 ◽  
pp. 934-965
Author(s):  
Beth McGoldrick
Keyword(s):  
Performance Improvement ◽  
Engineering Model ◽  
Improve Performance ◽  
Front End ◽  
Behavior Engineering Model ◽  
Underlying Causes ◽  
Behavior Engineering ◽  
Performance Problems

Performance problems come in all forms. The method presented in this chapter blends the models of three respected Performance improvement icons – Joe Harless, Thomas Gilbert, and Roger Chevalier. Their theoretical and practical approaches are applied to a case study. The three models – 13 Smart Questions (Front-end analysis), Behavior Engineering Model (BEM), and Updated BEM – when combined show ways practitioners can assess and improve performance. The practitioner will develop effective partnerships with clients, gain valuable perspectives on the issues, and their underlying causes. Finally the practitioner will be able to lead a department or an organization in fully analyzing problems and determining how best to solve them.

Blending Front-End Analysis

2015 ◽  
pp. 344-383
Author(s):  
Beth McGoldrick
Keyword(s):  
Performance Improvement ◽  
Engineering Model ◽  
Improve Performance ◽  
Front End ◽  
Behavior Engineering Model ◽  
Underlying Causes ◽  
Behavior Engineering ◽  
Performance Problems

Performance problems come in all forms. The method presented in this chapter blends the models of three respected Performance improvement icons – Joe Harless, Thomas Gilbert, and Roger Chevalier. Their theoretical and practical approaches are applied to a case study. The three models – 13 Smart Questions (Front-end analysis), Behavior Engineering Model (BEM), and Updated BEM – when combined show ways practitioners can assess and improve performance. The practitioner will develop effective partnerships with clients, gain valuable perspectives on the issues, and their underlying causes. Finally the practitioner will be able to lead a department or an organization in fully analyzing problems and determining how best to solve them.

Sales Improvement Initiative Reveals Need for Performance Improvement Interventions

2020 ◽  
pp. 163-178
Author(s):  
Padmakshi Parkhe O'Neil
Keyword(s):  
Performance Improvement ◽  
Human Behavior ◽  
Human Performance ◽  
Holistic Approach ◽  
Sales Performance ◽  
Engineering Model ◽  
Human Performance Improvement ◽  
Behavior Engineering Model ◽  
Improvement Interventions ◽  
Performance Issues

This chapter posits the use of Thomas Gilbert's Behavior Engineering Model to improve human performance in the workplace. The author suggests that it is critical to apply a holistic approach when approaching any human performance improvement initiatives. Sales within an organization is a human performance issue and recurring sales performance problems should be addressed by delving to the root of the human performance issues at hand. It is critical to consider not just the repertoire of human behavior, but also examine the supporting environment, to ensure it provides the necessary impetus to improving performance.

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