Digital twin maturity and readiness metrics for assessing practitioners’ intention to use. Model development and multi-group structural analysis

Samad M.E. Sepasgozar, Sara Shirowzhan, Marco Mura, Alberto De Marco, Michael J. Ostwald, David Edwards

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter presents a modified metrics framework for assessing the adoption readiness of built environment industries for digital twin (DT) applications. The novel DT readiness level (DTRL 10) framework identifies ten levels of risk-based maturity. Coupling a technology acceptance modelling construct with technology readiness level metrics adapted from National Aeronautics and Space Administration, the DTRL provides a hybrid set of metrics for the construction sector, where a DT often operates in conjunction with a building information model. This chapter uses two primary methods to develop and test the DTRL framework and its assumptions (formulated as seven hypotheses). First, participants’ perceptions were tested using a survey (n = 234, response rate 24.97%) and analysed using structural modelling statistics, and second, a quantitative analysis of the literature, and current applications and practices, was developed. Key knowledge contributions developed in this chapter include a theoretical model for measuring the maturity of DT applications and the impact on individual intentions to use one. The research also examines whether practitioner willingness to innovate affects their intention to adopt technology. DTRL assists practitioners and developers in measuring the readiness of a DT application.

Original languageEnglish
Title of host publicationDigital Twin Adoption and BIM-GIS Implementation
PublisherTaylor and Francis
Pages25-42
Number of pages18
ISBN (Electronic)9781040111222
ISBN (Print)9781032569338
DOIs
Publication statusPublished - 1 Jan 2024

ASJC Scopus subject areas

  • General Arts and Humanities
  • General Environmental Science
  • General Engineering
  • General Computer Science

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