Research-to-Practice Drivers and Barriers: Visualization, Information Modeling, and Simulation Technologies in AEC/FM

The capital projects industry has seen numerous emerging technologies introduced to improve efficiency and productivity, yet few have been widely adopted and standardized, and only a small number of funded research projects have resulted in commercialized and successfully implemented products. The reasons for this limited adoption and commercialization remain unclear. This study investigated the root causes and defined challenges that are faced on the path to research to practice (R2P) in the architectural, engineering, construction, and facilities management (AEC-FM) domains, as well as long-term success indicators. To this end, the Visualization, Information Modeling, and Simulation (VIMS) Committee of the ASCE Computing Division launched an initiative to document the R2P challenges faced by both academia (barriers to commercialization) and industry (barriers to technology adoption). It reviewed the R2P practices from related fields, gathered expert input on key barriers and drivers, and discussed best practices and long-term success indicators drawn from successful commercialization cases. Findings are sought to ultimately contribute to successful knowledge transfer, commercialization, and entrepreneurship activities in the capital projects industry.

Institutions

Publication Details

Journal
Journal of Computing in Civil Engineering
Published
2025-10-03
DOI
https://doi.org/10.1061/jccee5.cpeng-7035
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research-to-Practice Drivers and Barriers: Visualization, Information Modeling, and Simulation Technologies in AEC/FM

Journal of Computing in Civil Engineering
Cell Image Analysis Techniques
article

Research-to-Practice Drivers and Barriers: Visualization, Information Modeling, and Simulation Technologies in AEC/FM

article en

Abstract

The capital projects industry has seen numerous emerging technologies introduced to improve efficiency and productivity, yet few have been widely adopted and standardized, and only a small number of funded research projects have resulted in commercialized and successfully implemented products. The reasons for this limited adoption and commercialization remain unclear. This study investigated the root causes and defined challenges that are faced on the path to research to practice (R2P) in the architectural, engineering, construction, and facilities management (AEC-FM) domains, as well as long-term success indicators. To this end, the Visualization, Information Modeling, and Simulation (VIMS) Committee of the ASCE Computing Division launched an initiative to document the R2P challenges faced by both academia (barriers to commercialization) and industry (barriers to technology adoption). It reviewed the R2P practices from related fields, gathered expert input on key barriers and drivers, and discussed best practices and long-term success indicators drawn from successful commercialization cases. Findings are sought to ultimately contribute to successful knowledge transfer, commercialization, and entrepreneurship activities in the capital projects industry.

Journal of Computing in Civil EngineeringVol. 40(1)
West Virginia University (US), University of Colorado Boulder (US), San Diego State University (US), University of Colorado System (US), University of Florida (US), New York University (US)
Openalex Percentile: Top 35%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.