Executive Summary

A Joint Optimization Metamodel for Sociotechnical Enterprise Engineering (Executive Summary)

Posted September 29, 2015 | Leadership |

The ability to recognize different levels of complexity and to distinguish perceived increased complexity versus actual increased complexity is helpful for enterprise planners and strategists. There are different approaches to handling complexity across a whole spectrum of attitudes, from ignoring it entirely (after all, things tend to sort themselves out by themselves) to either overengineering (theoreticians who do not have many real-world constraints can be particularly good at making complex things look even more so) or the opposite, oversimplification.

About The Author
Paola Di Maio
Paola Di Maio is a systems analyst and engineer who studied knowledge and expert systems design before focusing professionally on content and knowledge management tools and architectures. She is the founder and former Editor-in-Chief of content-wire.com, the first online journal devoted to content management technologies. Dr. Di Maio is the creator of the Joint Optimization Metamodel (JOM) and previously developed and implemented high-level… Read More
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