TY - GEN
T1 - Characterizing and measuring activity dependence in engineering projects
AU - Chucholowski, Nepomuk
AU - Starke, Phillip
AU - Moser, Bryan R.
AU - Rebentisch, Eric
AU - Lindemann, Udo
N1 - Publisher Copyright:
© 2016 Portland International Conference on Management of Engineering and Technology, Inc.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - In an increasingly complex business environment program managers have to take dependencies within the product domain, process domain and organization into account. While activity dependence is still predominantly perceived as only an input-output relationship, a more detailed understanding of activity dependence is expected to improve program and project performance. This paper contributes to the understanding by presenting eight characteristics of activity dependence and 21 respective measures, all derived from literature and expert discussions. We further present an attempt to validate the characteristics and measures by means of a survey with 139 responses. While we could not prove the proposed characteristics wrong or right, we learned about the understanding of activity dependence and show future paths for further research in the paper. The possibility to significantly characterize activity dependence should support program and project managers with the identification of unknown but important dependencies and facilitate to select appropriate means for coordination.
AB - In an increasingly complex business environment program managers have to take dependencies within the product domain, process domain and organization into account. While activity dependence is still predominantly perceived as only an input-output relationship, a more detailed understanding of activity dependence is expected to improve program and project performance. This paper contributes to the understanding by presenting eight characteristics of activity dependence and 21 respective measures, all derived from literature and expert discussions. We further present an attempt to validate the characteristics and measures by means of a survey with 139 responses. While we could not prove the proposed characteristics wrong or right, we learned about the understanding of activity dependence and show future paths for further research in the paper. The possibility to significantly characterize activity dependence should support program and project managers with the identification of unknown but important dependencies and facilitate to select appropriate means for coordination.
UR - http://www.scopus.com/inward/record.url?scp=85016202393&partnerID=8YFLogxK
U2 - 10.1109/PICMET.2016.7806784
DO - 10.1109/PICMET.2016.7806784
M3 - Conference contribution
AN - SCOPUS:85016202393
T3 - PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings
SP - 2008
EP - 2017
BT - PICMET 2016 - Portland International Conference on Management of Engineering and Technology
A2 - Anderson, Timothy R.
A2 - Kocaoglu, Dundar F.
A2 - Niwa, Kiyoshi
A2 - Perman, Gary
A2 - Kozanoglu, Dilek Cetindamar
A2 - Daim, Tugrul U.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Portland International Conference on Management of Engineering and Technology, PICMET 2016
Y2 - 4 September 2016 through 8 September 2016
ER -