Projects per year
Abstract
This paper presents a novel approach to the quantitative monitoring and analysis of engineering activity through computational topic identification and analysis of low-level communication data. Through three metrics of communication activity, this approach enables detailed detection and tracking of activity associated with specific project work areas. By application to 11,832 emails within two industry email corpora, this work identifies four distinct patterns in activity, and derives seven characteristics of communication activity within engineering design and development. Patterns identified are associated with background discussion, focussed working, and the appearance of issues, supporting detailed managerial understanding. Characteristics identified relate to through-process norms against which a manager may compare and assess.
Such project-specific information extends the ability of managers to understand the activity within their specific project scenario. Through detailed description of activity and its characteristics, in tandem with existing toolsets, a manager may be supported in their interpretation and decision-making processes.
Original language | English |
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Pages (from-to) | 1-31 |
Number of pages | 31 |
Journal | Design Science |
Volume | 3 |
Issue number | e22 |
DOIs | |
Publication status | Published - 9 Nov 2017 |
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Dive into the research topics of 'The characterisation of engineering activity through email communication and content dynamics, for support of engineering project management'. Together they form a unique fingerprint.Projects
- 1 Finished
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LOCM: The Language of Collaborative Manufacturing
Gopsill, J. A. (Researcher), McAlpine, H. C. (Manager), McMahon, C. A. (Co-Principal Investigator), Snider, C. M. (Researcher), Shi, L. (Researcher), Watts, L. (Co-Principal Investigator), Jones, S. (Researcher), Johnson, P. (Co-Principal Investigator), Newnes, L. (Co-Principal Investigator), Payne, S. (Co-Principal Investigator), Culley, S. (Co-Principal Investigator) & Hicks, B. J. (Principal Investigator)
1/02/13 → 31/07/18
Project: Research
Datasets
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DS - Topic Persistence
Skec, S. (Creator), Gopsill, J. (Creator), Snider, C. (Creator) & Hicks, B. (Data Manager), University of Bristol, 26 Jul 2017
DOI: 10.5523/bris.3oj79e4nco7qk2u14xg719ezga, http://data.bris.ac.uk/data/dataset/3oj79e4nco7qk2u14xg719ezga
Dataset
Profiles
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Dr Chris M Snider
- School of Electrical, Electronic and Mechanical Engineering - Associate Professor in Engineering Design
Person: Academic