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Architecting Ambient Knowledge in Enterprises: IT Enabled Enterprise Integration & Transformation

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Academic year: 2021

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Architecting Ambient Knowledge in Enterprises

Problem

• From a systems perspective, large projects and enterprises have difficulty with communication and effective project design over the system life cycle.

• From a technical perspective data harmonization across software systems remains an open challenge.

Hypothesis

1. High semantic distance between people/groups of people across the enterprise results in sluggish project performance.

2. Through the use of information technology we can actively manage the semantic distance of an enterprise to make it more agile, efficient, and resilient.

Time

Time to transfer information

X Z

X’ Z’

Project requires rework from the new information

X Z

waste

delay

Minimal time to transfer

Potential loss of: Relevance Accuracy Actionability Quality Data Qua lity

Semantic Distance

• Semantic distance is the measure of the difference in meaning, context, and representation of mental models between individuals, organizations, and software models.

Interested In Participating?

Would your organization be willing to host a case

study? I am looking for organizations wishing to better understand the fundamental dynamics of projects from the semantic distance perspective.

Research Methodology

Phase I: Preliminary literature review Phase II: Social networks/network science & organizational culture literature review Phase III: Tool construction & case study Phase IV Tool refinement & thesis

Benefits to Industry

• Knowledge about the implicit value of individuals in the enterprise.

•Tools for analyzing enterprise and inter-enterprise interaction.

•Tools for actively managing fundamental properties of the enterprise, and their resulting emergent behavior.

IT Enabled Enterprise Integration & Transformation

Researcher:

Danny Gagne (gagne@mit.edu) Advisors:

Jayakanth ‘JK’ Srinivasan (jksrini@mit.edu)

Prof. Deborah Nightingale (dnight@mit.edu)

Research Timeline

Literature review Tool refinement & thesis

Sep - Dec 07 Jan - Mar 08 Apr to Oct 08 Oct 08 to May 09

Prototype initial tools, Literature review

Tool development & Case Study

Organizational Culture

• For this analysis we take a predictive view of culture, i.e. culture is used to define the emergent behavior of a group of individuals. Each individual can belong to multiple cultures that manifest themselves in different situations. A culture is defined as a group of people who have a low semantic distance, common beliefs, and a shared set of default actions.

Reduce Semantic Distance

HIGH

Références

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