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Construction-Related Data Management: Classification and Description of Data from Different Perspectives

Author

Listed:
  • Janne Harkonen

    (University of Oulu, Finland)

  • Erno Mustonen

    (University of Oulu, Finland)

  • Harri Haapasalo

    (University of Oulu, Finland)

Abstract

The productivity improvement of the construction sector has fallen behind other industries. One potential factor is the on-site nature of the work that may not allow for as industrial way of operations as off-site construction. Also, the division into non-optimised chain of domains of architecture, engineering, construction and facilities management may play a role. The construction objects may not be considered as products that would necessitate careful consideration of the product structure, both commercially and technically to optimise the use of platforms, assemblies, components, and materials while offering what customers desire. Furthermore, the life-cycle of building objects and the varying needs during design, construction and the use-phase are not acknowledged effectively. Addressing the life-cycle of building objects necessitates taking command of the relevant data and understanding the bigger picture. Currently the data are managed in an un-organised manner. This study aims to form the pre-requisites for managing construction object-related data. The study is realised as a combination of a literature review and analysing constructors’ offerings, requirements plans, Ministry reports, and building control documentations. A rather detailed example of construction object related data management is presented to discuss master data, and business process related data in the context of business processes and enterprise applications, and different Billsof-Materials (BOM) configurations to demonstrate the necessary considerations. The example also acknowledges the product structure, necessary parameters, and stakeholders. New contribution is provided by presenting valuable insights with a broader scope for setting up effective data management in the construction sector.

Suggested Citation

  • Janne Harkonen & Erno Mustonen & Harri Haapasalo, 2019. "Construction-Related Data Management: Classification and Description of Data from Different Perspectives," International Journal of Management, Knowledge and Learning, ToKnowPress, vol. 8(2), pages 195-220.
    • Handle: RePEc:tkp:jouijm:v:8:y:2019:i:2:p:195-220
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    References listed on IDEAS

    as
    1. Seppo Kuula & Harri Haapasalo & Arto Tolonen, 2018. "Cost-efficient co-creation of knowledge intensive business services," Service Business, Springer;Pan-Pacific Business Association, vol. 12(4), pages 779-808, December.
    2. Janne Harkonen & Arto Tolonen & Harri Haapasalo, 2018. "Modelling of Construction Products and Services for Effective Productisation," Management, University of Primorska, Faculty of Management Koper, vol. 13(4), pages 335-353.
    3. Tolonen, Arto & Shahmarichatghieh, Marzieh & Harkonen, Janne & Haapasalo, Harri, 2015. "Product portfolio management – Targets and key performance indicators for product portfolio renewal over life cycle," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 468-477.
    4. Jordan Verrollot & Arto Tolonen & Janne Harkonen & Harri Haapasalo, 2017. "Strategic alignment of product portfolio and supplier management," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 16(4), pages 337-364.
    5. Antti Saaksvuori & Anselmi Immonen, 2008. "Product Lifecycle Management," Springer Books, Springer, number 978-3-540-78172-1, April.
    6. Harkonen, Janne & Haapasalo, Harri & Hanninen, Kai, 2015. "Productisation: A review and research agenda," International Journal of Production Economics, Elsevier, vol. 164(C), pages 65-82.
    7. Risto Silvola & Arto Tolonen & Janne Harkonen & Harri Haapasalo & Tarja Mannisto, 2019. "Defining one product data for a product," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 30(4), pages 489-520.
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