One in a Million: Finding the Innovative Idea
Abstract
The increasing emphasis on innovation and the massive amounts of data that are collected and stored from innovative platforms provide for an opportunity to analyze innovative ideation data sets. However, the Department of the Navy does not currently have an effective way to analyze and visualize the innovative ideations posted on their idea-producing platforms. At present, big data analysis is conducted by humans who manually sift through each ideation posted and are virtually unable to fully depict and connect multiple and mutual ideas. This current process is very labor intensive and time consuming, and is subject to human error. This thesis assists in this endeavor by providing a proof of concept through use of Lexical Link Analysis (LLA) to analyze a large data set from an innovative ideation platform, the Massive Multiplayer Online War game Leveraging the Internet (MMOWGLI). LLA provides an automated methodology to depict pattern recognition, anomaly detection, and data fusion derived from this dataset. Through the use of LLA, MMOWGLI data are visually depicted, showing these ideas and how they interrelate as well as revealing emerging themes and patterns that can be more easily understood so that decision makers are presented with increasingly useful and accurate information.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2018
- Accession Number
- AD1065262
Entities
People
- Jennie K. Bellonio
Organizations
- Naval Postgraduate School