Multi-level systems engineering analyzer dashboard: A semi-automated content analysis for interview data

Zhongyuan Yu, Hoong Yan See Tao, Yao Xiao, Pamela Burke, Nicole Hutchison, Deep Makwana

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Helix is a multi-year project that aims to develop an understanding of systems engineers and organizational systems engineering (SE) effectiveness. Since 2013, the Helix team has conducted over 180 interview sessions with over 480 individuals from 31 organizations and resulted in over 6,500 pages of text data. As the team continued to gather more interview data, the manual qualitative content analysis methods originally employed was no longer adequate to keep pace with the expanding dataset. In this study, the team proposes a computer assisted method - a multi-level SE analyzer dashboard - to extract, analyze and visualize interview data customized specifically for SE knowledge. The dashboard developed in this study is able to “stay true” to the interviewees' actual feedback, while automating some aspects of the content analysis to generate useful insights. The multi-level SE analyzer dashboard enables: (1) exploring how critical factors contributing to SE effectiveness in the literature appear in the Helix interviews; (2) comparing SE implementations and processes among various industry sectors; (3) deriving an organizational profile on SE capability; and (4) gathering major concerns and accomplishments from individual systems engineers and senior leadership.

    Original languageEnglish
    Title of host publicationSYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings
    ISBN (Electronic)9781728153650
    DOIs
    StatePublished - 24 Aug 2020
    Event14th Annual IEEE International Systems Conference, SYSCON 2020 - Virtual, Montreal, Canada
    Duration: 24 Aug 202027 Aug 2020

    Publication series

    NameSYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings

    Conference

    Conference14th Annual IEEE International Systems Conference, SYSCON 2020
    Country/TerritoryCanada
    CityVirtual, Montreal
    Period24/08/2027/08/20

    Keywords

    • Content analysis
    • Data modeling and visualization
    • Organizational model
    • Sentiment analysis
    • Systems engineering
    • Systems engineers
    • Text analysis
    • Workforce development

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