ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Developing BIM Thinking: Fundamental Objectives and Characteristics of BIM to Think Critically About in BIM Research and Implementation

Singh, V (2020) Developing BIM Thinking: Fundamental Objectives and Characteristics of BIM to Think Critically About in BIM Research and Implementation. In: IFIP Advances in Information and Communication Technology, 5 - 8 July 2020, Rapperswil, pp. 766-782.

[img] PDF
PLM_2020.pdf - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy
Official URL: https://doi.org/10.1007/978-3-030-62807-9_60

Abstract

This article proposes pathways towards developing BIM thinking as a set of objectives and characteristics that allow revisiting the grounds and principles on which one can reason about BIM, irrespective of the specific applications or tools. The article looks into questions such as– Why do we need BIM thinking, and why now? What should we look for in BIM thinking, and how? The research applies abductive reasoning for qualitative grouping and classification of the preprocessed data collected from the existing literature review articles and BIM glossaries, combined with peer feedback from workshops and discussions. The fundamental objectives and characteristics to be considered in BIM thinking include representation, documentation, transactions and exchange, decision support, standardization, knowledge and information management, automation, and ecosystem and systems. Since the hope of the future transformation of the construction industry is largely pinned on a range of digital technologies, BIM thinking should facilitate informed decisions about the ways forward.

Item Type: Conference Paper
Publication: IFIP Advances in Information and Communication Technology
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH.
Keywords: Architectural design; Construction industry; Decision support systems; Knowledge management, Abductive reasoning; Decision supports; Digital technologies; Informed decision; Literature reviews; Peer feedback; Pre-processed data, Life cycle
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 07 Feb 2023 09:48
Last Modified: 07 Feb 2023 09:48
URI: https://eprints.iisc.ac.in/id/eprint/80007

Actions (login required)

View Item View Item