Subjective Adjustments to Objective Performance Measures in Executive Annual Bonus Contracts

2019 ◽  
Author(s):  
Sunyoung Kim ◽  
Jae Yong Shin
2017 ◽  
Vol 28 (1) ◽  
pp. 57-84 ◽  
Author(s):  
Gregory N. Stock ◽  
Kathleen L. McFadden

Purpose The purpose of this paper is to examine the relationship between patient safety culture and hospital performance using objective performance measures and secondary data on patient safety culture. Design/methodology/approach Patient safety culture is measured using data from the Agency for Healthcare Research and Quality’s Hospital Survey on Patient Safety Culture. Hospital performance is measured using objective patient safety and operational performance metrics collected by the Centers for Medicare and Medicaid Services (CMS). Control variables were obtained from the CMS Provider of Service database. The merged data included 154 US hospitals, with an average of 848 respondents per hospital providing culture data. Hierarchical linear regression analysis is used to test the proposed relationships. Findings The findings indicate that patient safety culture is positively associated with patient safety, process quality and patient satisfaction. Practical implications Hospital managers should focus on building a stronger patient safety culture due to its positive relationship with hospital performance. Originality/value This is the first study to test these relationships using several objective performance measures and a comprehensive patient safety culture data set that includes a substantial number of respondents per hospital. The study contributes to the literature by explicitly mapping high-reliability organization (HRO) theory to patient safety culture, thereby illustrating how HRO theory can be applied to safety culture in the hospital operations context.


Author(s):  
Tracy M. Maylett

This case study describes an initiative to change a long-standing performance management process at a large manufacturing facility within General Mills that emphasized the attainment of objective performance measures (the “what” of performance) to one that also included the “how” of goal achievement. The organization embarked on a 3-year pilot evaluation of the use of 360 Feedback as a possible solution to replace or supplement their traditional single-source (supervisor) performance appraisal process. The two systems ran in parallel using 140 randomly selected employees. Results showed little correlation between the what measures of performance from the traditional appraisals and the how data collected using the 360 Feedback, supporting the view that job performance should be viewed as requiring both aspects of evaluation, using different methods of assessment. Ultimately, the organization maintained both systems but integrated 360 Feedback into the traditional appraisals as well, creating complementary processes that looked “forward” (development) and “past” (performance).


1982 ◽  
Vol 26 (6) ◽  
pp. 586-588 ◽  
Author(s):  
Lawrence J. Najjar ◽  
Michael J. Patterson ◽  
Gregory M. Corso

A signal detection paradigm was applied to performance of a visual search task under varying degrees of shape-color redundant coding and two levels of practice. The coding conditions were (1) Black and White, (2) Totally Nonredundant, (3) Partially Redundant, and (4) Totally Redundant. In addition to the traditional signal detection measures, subjective coding condition preference ratings were also recorded. Generally, the objective performance measures were influenced by practice. However, neither the objective nor the subjective measures were affected by coding conditions. A significant Coding Condition by Practice interaction on the percentage of correct responses was also found.


Robotica ◽  
2008 ◽  
Vol 26 (6) ◽  
pp. 753-765 ◽  
Author(s):  
R. Saravanan ◽  
S. Ramabalan ◽  
C. Balamurugan

SUMMARYA general new methodology using evolutionary algorithms viz., Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-objective Differential Evolution (MODE), for obtaining optimal trajectory planning of an industrial robot manipulator (PUMA 560 robot) in the presence of fixed and moving obstacles with payload constraint is presented. The problem has a multi-criterion character in which six objective functions, 32 constraints and 288 variables are considered. A cubic NURBS curve is used to define the trajectory. The average fuzzy membership function method is used to select the best optimal solution from Pareto optimal fronts. Two multi-objective performance measures namely solution spread measure and ratio of non-dominated individuals are used to evaluate the strength of Pareto optimal fronts. Two more multi-objective performance measures namely optimiser overhead and algorithm effort are used to find computational effort of the NSGA-II and MODE algorithms. The Pareto optimal fronts and results obtained from various techniques are compared and analysed. Both NSGA-II and MODE are best for this problem.


2011 ◽  
Vol 23 (3) ◽  
pp. 244-250 ◽  
Author(s):  
Markus Krautter ◽  
Peter Weyrich ◽  
Jobst-Hendrik Schultz ◽  
Sebastian J. Buss ◽  
Imad Maatouk ◽  
...  

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