TY - JOUR
T1 - Identifying Maturity Dimensions for SmartMaintenance Management of Constructed Assets: A Multiple Case Study
AU - Johannes, Koos
AU - Voordijk, Hans
AU - Adriaanse, Adriaan Maria
AU - Aranda-Mena, Guillermo
N1 - Funding Information:
This research received funding from the Netherlands Organization for Scientific Research and the Amsterdam University of Applied Sciences. The authors want to thank Jeroen Kluck Ph.D. of Amsterdam University of Sciences for comments on an initial version of this paper.
Publisher Copyright:
© 2021 This work is made available under the terms of the Creative Commons Attribution 4.0 International license.
PY - 2021/6/23
Y1 - 2021/6/23
N2 - While smart maintenance is gaining popularity in professional engineering and construction management practice, little is known about the dimensions of its maturity. It is assumed that the complex networked environment of maintenance and the rise of data-driven methodologies require a different perspective on maintenance. This paper identifies maturity dimensions for smart maintenance of constructed assets that can be measured. A research design based on two opposite cases is used and data from multiple sources is collected in four embedded case studies in corporate facility management organizations. Through coding data in several cross-case analyses, a maturity framework is designed that is validated through expert consultation. The proposed smart maintenance maturity framework includes technological dimensions (e.g., tracking and tracing) as well as behavioral dimensions (e.g., culture). It presents a new and encompassing theoretical perspective on client leadership in digital construction, integrating innovation in both construction and maintenance supply networks.
AB - While smart maintenance is gaining popularity in professional engineering and construction management practice, little is known about the dimensions of its maturity. It is assumed that the complex networked environment of maintenance and the rise of data-driven methodologies require a different perspective on maintenance. This paper identifies maturity dimensions for smart maintenance of constructed assets that can be measured. A research design based on two opposite cases is used and data from multiple sources is collected in four embedded case studies in corporate facility management organizations. Through coding data in several cross-case analyses, a maturity framework is designed that is validated through expert consultation. The proposed smart maintenance maturity framework includes technological dimensions (e.g., tracking and tracing) as well as behavioral dimensions (e.g., culture). It presents a new and encompassing theoretical perspective on client leadership in digital construction, integrating innovation in both construction and maintenance supply networks.
U2 - 10.1061/(ASCE)CO.1943-7862.0002112
DO - 10.1061/(ASCE)CO.1943-7862.0002112
M3 - Article
SN - 0733-9364
VL - 147
JO - Journal of construction engineering and management
JF - Journal of construction engineering and management
IS - 9
ER -