A cost/impact analysis of selected clinical pharmacy functions in three hospitals

1974 ◽  
Vol 31 (10) ◽  
pp. 947-953
Author(s):  
Paul J. Munzenberger ◽  
Larry N. Swanson ◽  
Robert E. Smith ◽  
Frances H. Zalewski ◽  
Jules I. Schwartz ◽  
...  
2016 ◽  
Vol 06 (04) ◽  
pp. e407-e416 ◽  
Author(s):  
John Zupancic ◽  
James Greenberg ◽  
Susan Garfield ◽  
Stephen Thung ◽  
Jay Iams ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jae-Seob Lee

PurposeThe purpose of the paper is to develop a method to integrate the schedule-based analysis with a productivity-based analysis to prove and support the result of the damages calculation.Design/methodology/approachIn this paper, a “cost and schedule impact integration” (CSI2) model is proposed to objectively show and estimate lost productivity due to changes in construction projects.FindingsA schedule-based analysis to include separate tracking of change order costs can be used to predict productivity due to the delay and disruption; changes in construction projects almost always result in delay and disruption. However, the schedule-based analysis needs to be integrated with a productivity-based analysis to prove and support the result of the damages calculation.Practical implicationsThe results of this study expand upon construction practices for proving and quantifying lost productivity due to changes in construction projects.Originality/valueThe contribution of the paper is summarized as the introduction of a “schedule impact analysis” into a “cost impact analysis” technique to assess the damages, as well as to demonstrate the labor productivity impact due to delay and disruption in construction projects.


2008 ◽  
Vol 275 (1637) ◽  
pp. 871-878 ◽  
Author(s):  
Martijn Egas ◽  
Arno Riedl

Explaining the evolution and maintenance of cooperation among unrelated individuals is one of the fundamental problems in biology and the social sciences. Recent findings suggest that altruistic punishment is an important mechanism maintaining cooperation among humans. We experimentally explore the boundaries of altruistic punishment to maintain cooperation by varying both the cost and the impact of punishment, using an exceptionally extensive subject pool. Our results show that cooperation is only maintained if conditions for altruistic punishment are relatively favourable: low cost for the punisher and high impact on the punished. Our results indicate that punishment is strongly governed by its cost-to-impact ratio and that its effect on cooperation can be pinned down to one single variable: the threshold level of free-riding that goes unpunished. Additionally, actual pay-offs are the lowest when altruistic punishment maintains cooperation, because the pay-off destroyed through punishment exceeds the gains from increased cooperation. Our results are consistent with the interpretation that punishment decisions come from an amalgam of emotional response and cognitive cost–impact analysis and suggest that altruistic punishment alone can hardly maintain cooperation under multi-level natural selection. Uncovering the workings of altruistic punishment as has been done here is important because it helps predicting under which conditions altruistic punishment is expected to maintain cooperation.


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