University of Oulu

Petteri Annunen & Harri Haapasalo (2022) Industrial operation model for the construction industry, International Journal of Construction Management, DOI: 10.1080/15623599.2022.2092810

Industrial operation model for the construction industry

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Author: Annunen, Petteri1; Haapasalo, Harri1
Organizations: 1Industrial Engineering and Management, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
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Language: English
Published: Informa, 2022
Publish Date: 2022-11-23


For decades, the construction industry has been searching for avenues to improve productivity. One potential direction for improvement is industrialisation, which involves repetitive and modular products and standardised processes to achieve economies of scale. This article describes an industrial operation model (IOM) based on the literature and uses empirical studies to find the emerging elements of the IOM in the construction industry. We employed qualitative and inductive approaches to build the general IOM framework. We determined the main challenges for the IOM through semi-structured interviews with 11 companies. The current state of the analysed IOM elements was perceived as inconstant and generally weak. In any case, we were able to describe several challenges in the main areas of the IOM. In this study, six preconditions for the IOM were defined as critical: defined target markets and products, effective product portfolio management, product and process data availability, efficient operative business processes, systematic continuous improvement, and governance and owners of the main IOM elements. The IOM framework and the proposed preconditions can be used as bases for future productivity development in the construction industry.

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Series: International journal of construction management
ISSN: 1562-3599
ISSN-E: 2331-2327
ISSN-L: 1562-3599
DOI: 10.1080/15623599.2022.2092810
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Copyright information: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.