Subject Lines As Sensors: Co-Word Analysis Of Email To Support The Management Of Collaborative Engineering Work

Simon L Jones*, Stephen Payne, Ben J. Hicks, James A. Gopsill, Chris Snider, Lei Shi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

9 Citations (Scopus)
71 Downloads (Pure)

Abstract

This paper presents a topic-based analysis of email subject line data from a large-scale engineering project and explores its utility for supporting the management of collaborative work. The main contributions of the paper are a novel interpretation of the co-word network analysis method for application within an engineering project management context, and the appraisal of the method for d=finding patterns within subject line data. Our findings suggest that the approach has the potential to contribute to monitoring work complexity, tracking progress, recognizing synergy and divergence, detecting scope creep, and supporting knowledge capture.
Original languageEnglish
Title of host publicationDS 80-6 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 6
Subtitle of host publicationDesign Methods and Tools - Part 2 Milan, Italy, 27-30.07.15
PublisherThe Design Society
Pages307-318
Number of pages12
Volume6
ISBN (Print)9781904670698
Publication statusPublished - 30 Jul 2015
Event20th International Conference on Engineering Design, ICED 2015 - Milan, Italy
Duration: 27 Jul 201530 Jul 2015

Publication series

NameProceedings of the International Conference on Engineering Design (ICED)
PublisherThe Design Society
Volume80
ISSN (Print)2220-4334

Conference

Conference20th International Conference on Engineering Design, ICED 2015
CountryItaly
CityMilan
Period27/07/1530/07/15

Keywords

  • communication
  • information management
  • project management
  • visualisation

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