Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

 Simple Bass diffusion modified from Sterman Business Dynamics Ch9, with additional discarding

Simple Bass diffusion modified from Sterman Business Dynamics Ch9, with additional discarding

 Simple Bass diffusion modified from Sterman Business Dynamics Ch9, with additional discarding  https://youtu.be/LRlkwN_cFnQ

Simple Bass diffusion modified from Sterman Business Dynamics Ch9, with additional discarding

https://youtu.be/LRlkwN_cFnQ

 WIP Clone of IM-435 for Research (IM-345 was  https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2 A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems

WIP Clone of IM-435 for Research (IM-345 was https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

 Fig 3.1 Sociotechnical system underlying health IT-related adverse events NAP IOM Report

Fig 3.1 Sociotechnical system underlying health IT-related adverse events NAP IOM Report

​Summary of Hermans Scale dynamics of grassroots innovations through parallel pathways of  transformative change Ecological Economics 2016  article (paywalled)  This is applied to  health in a subsequent insight
​Summary of Hermans Scale dynamics of grassroots innovations through parallel pathways of  transformative change Ecological Economics 2016 article (paywalled) This is applied to health in a subsequent insight
​The Problem:  What is the true cost of escalating too many Tier 1/Level 1 tickets to Level 2/3 engineers?    Things to measure: How does this impact:1. (MONEY) Cost per incident - what does this cost the business? 2. (TIME) Service Level - how does this impact desired service levels/SLAs? 3. (PEOPL
​The Problem: 
What is the true cost of escalating too many Tier 1/Level 1 tickets to Level 2/3 engineers?

Things to measure: How does this impact:1. (MONEY) Cost per incident - what does this cost the business? 2. (TIME) Service Level - how does this impact desired service levels/SLAs? 3. (PEOPLE) Agent utilization - how does this impact backlog? are we overworking engineers? Does this contribute to staff burnout?

 Adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582  abstrac t  See  IM-435  for a simulation

Adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract

See IM-435 for a simulation

 Mind map example of a medication management project.  See also  IM-692  for CLD

Mind map example of a medication management project.

See also IM-692 for CLD

 When projects attempt to please too many customers, complexity mounts, schedules slip, costs expand ... and no one is happy. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds  paper  and see  webpage

When projects attempt to please too many customers, complexity mounts, schedules slip, costs expand ... and no one is happy. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage



 WIP Clone of IM-435 for Research (IM-345 was  https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2 A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems

WIP Clone of IM-435 for Research (IM-345 was https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

 Some programs take on a life of their own—privileged, and woven into an organization's existence. But when "sacred cow" projects begin to go wrong, that privilege and protection makes fixing them even more difficult. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition:

Some programs take on a life of their own—privileged, and woven into an organization's existence. But when "sacred cow" projects begin to go wrong, that privilege and protection makes fixing them even more difficult. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage



 Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight  584 .

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

 Karim Chichakly's ithink  Baby Health Care System Model with more general non-US terms. Needs review of forecast trend and calibration
Karim Chichakly's ithink Baby Health Care System Model with more general non-US terms. Needs review of forecast trend and calibration
 Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584, to which we added churn and duplicated it to model a 2 sided marketplace..  In this 2-sided market model -- take etsy for example --  the adoption rate of end users is also a

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584, to which we added churn and duplicated it to model a 2 sided marketplace..

In this 2-sided market model -- take etsy for example --  the adoption rate of end users is also a factor of how many vendors the company has on-boarded.  You can control the impact on end user adoption via the Choice Impact Factor.

Conversely,  the rate at which vendors will be on-boarded is a factor of the perceived opportunity they have to sell their wares.  You can control the rate at which suppliers are on-boarded via the Opportunity Impact Factor.

Copyright 2016 Whatifics Pte Ltd

 Planning for a long development period doesn't always solve acquisition scheduling problems. Sometimes it makes them worse. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds    paper  and see  webpage

Planning for a long development period doesn't always solve acquisition scheduling problems. Sometimes it makes them worse. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage



 Análise comparativa e econômica de diferentes tipos de biomassa e óleos vegetais brasileiros para produção  de  alimento, ração animal e  de biocombustível e Agroenergia com o estudo de sua Rota Química.    

Análise comparativa e econômica de diferentes tipos de biomassa e óleos vegetais brasileiros para produção  de  alimento, ração animal e  de biocombustível e Agroenergia com o estudo de sua Rota Química. 

 

 Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584, to which we added churn and duplicated it to model a 2 sided marketplace..  In this 2-sided market model -- take etsy for example --  the adoption rate of end users is also a

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584, to which we added churn and duplicated it to model a 2 sided marketplace..

In this 2-sided market model -- take etsy for example --  the adoption rate of end users is also a factor of how many vendors the company has on-boarded.  You can control the impact on end user adoption via the Choice Impact Factor.

Conversely,  the rate at which vendors will be on-boarded is a factor of the perceived opportunity they have to sell their wares.  You can control the rate at which suppliers are on-boarded via the Opportunity Impact Factor.

Copyright 2016 Whatifics Pte Ltd

 From Adomavicius G et al (2007) Information Technology and Management 8 (2) p185-202

From Adomavicius G et al (2007) Information Technology and Management 8 (2) p185-202

 The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors. THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST W

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE  ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.
BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST. 
CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

 WIP Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)   Improving model understanding using statistical screening   WSC paper   See also  System Dynamics Review 26 (1) p 73-87 and earlier 2005  SDR paper  with 

WIP Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)  Improving model understanding using statistical screening WSC paper See also System Dynamics Review 26 (1) p 73-87 and earlier 2005 SDR paper with CCtemplateExcel