Short answer

To drive BIM adoption in cost engineering, focus on enhancing practitioner awareness and providing accessible, relevant training that addresses perceived effort and demonstrates clear performance advantages.

Field
Innovation & Markets
Source
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023)
Method
Quantitative survey research
Evidence
Strong effect

Despite government promotion, a lack of awareness and willingness to learn among cost engineering practitioners in Southern China significantly impedes the adoption and effective utilization of Building Information Modelling (BIM). This innovation & markets research insight is drawn from a 2023 study published in Journal of Advanced Research in Applied Sciences and Engineering Technology. Using Quantitative survey research, researchers explored how this design variable affects real-world outcomes. The key design takeaway: To drive BIM adoption in cost engineering, focus on enhancing practitioner awareness and providing accessible, relevant training that addresses perceived effort and demonstrates clear performance advantages.

Study
Innovation & MarketsRecentStrong effect

Low BIM Awareness Hinders Cost Engineering Adoption in Southern China

Despite government promotion, a lack of awareness and willingness to learn among cost engineering practitioners in Southern China significantly impedes the adoption and effective utilization of Building Information Modelling (BIM).

Journal of Advanced Research in Applied Sciences and Engineering Technology · 2023

01

Key Findings

  • 01Practitioners exhibit poor awareness of BIM.
  • 02There is a low willingness among practitioners to independently acquire new BIM knowledge.
  • 03The actual use of BIM in projects is currently low.
  • 04No post-construction maintenance projects have utilized BIM technology.
  • 05Key influencing factors for adoption include Performance Expectation, Effort Expectation, Generation Gap, Social Influence, Managerial Attitude, and Facilitating Conditions.
02

Application

Design takeaway

To drive BIM adoption in cost engineering, focus on enhancing practitioner awareness and providing accessible, relevant training that addresses perceived effort and demonstrates clear performance advantages.

How to apply

When introducing new technologies in a market, assess existing awareness levels and develop a comprehensive strategy that includes education, demonstration of benefits, and support for skill development.

Project actions

  • 01When researching new technology adoption, consider both top-down (government policy) and bottom-up (user willingness) factors.
  • 02Use established models like TAM and UTAUT to structure your research into user acceptance.
03

Method & Evidence

AimWhat are the primary drivers and barriers influencing BIM adoption among cost engineering consultants in Southern China, and how do these factors impact current implementation processes?
MethodQuantitative survey research
ProcedureOnline questionnaires were distributed to cost engineering practitioners in Guangxi, China, utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Model (TAM) frameworks to assess individual intention and behavior towards BIM adoption.
ContextArchitecture, Engineering, and Construction (AEC) industry, specifically cost engineering consultancy in Southern China.

Variables

IV["Performance Expectation","Effort Expectation","Generation Gap","Social Influence","Managerial Attitude","Facilitating Conditions"]
DV["BIM Adoption Intention","BIM Usage Behavior","Awareness Level","Willingness to Learn"]
CV["Industry Sector (Cost Engineering)","Geographic Location (Southern China/Guangxi)","Governmental Promotion Efforts"]
04

Strengths & Limitations

Strengths

  • +Application of established theoretical models (UTAUT and TAM).
  • +Focus on a specific industry and region, providing context-specific insights.

Limitations

The findings are specific to the Guangxi region and may not apply universally. The study relies on self-reported data, which can be subjective.

Reliability & validity

The use of established models like UTAUT and TAM lends theoretical validity. Reliability would depend on the questionnaire's design and consistency of responses across participants.

Think critically

To what extent can government mandates overcome inherent user resistance to new technologies, and what alternative strategies might be more effective in driving adoption?

05

Design Principles

"Technological adoption is contingent upon user awareness, perceived value, and accessible learning opportunities."

Understanding the adoption barriers for transformative technologies like BIM is crucial for market penetration and strategic planning. This insight highlights the need for targeted educational initiatives and support systems to bridge the knowledge gap and foster wider acceptance.

06

What This Means for Your Design

Even though the government wants people to use a new design tool called BIM, the people who work with costs in construction don't know much about it and don't want to learn it themselves, so they aren't using it much.

How to use in your project

  • 1.Use this study to justify the need for your own research into user adoption of a specific design tool or technology.
  • 2.Cite the findings on awareness and willingness to learn as a basis for your own investigation into user barriers.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights that technological adoption, such as Building Information Modelling (BIM) in the cost engineering sector of Southern China, is significantly hampered by low user awareness and a reluctance to independently acquire new skills, despite governmental promotion. Factors like perceived performance expectations, effort expectations, and social influences play a critical role in shaping adoption intentions, underscoring the need for targeted educational strategies and support systems to facilitate successful implementation.

09

Source

Journal of Advanced Research in Applied Sciences and Engineering Technology

Building Information Modelling (BIM) Adoption for Cost Engineering Consultant; Case Study of Southern China

journal · 2023

View source

Questions About This Research

What does the research say about low bim awareness hinders cost engineering adoption in southern china?
To drive BIM adoption in cost engineering, focus on enhancing practitioner awareness and providing accessible, relevant training that addresses perceived effort and demonstrates clear performance advantages. Evidence: Journal of Advanced Research in Applied Sciences and Engineering Technology (2023).
Why does "Low BIM Awareness Hinders Cost Engineering Adoption in Southern China" matter for design?
Understanding the adoption barriers for transformative technologies like BIM is crucial for market penetration and strategic planning. This insight highlights the need for targeted educational initiatives and support systems to bridge the knowledge gap and foster wider acceptance.
How can designers apply this research?
To drive BIM adoption in cost engineering, focus on enhancing practitioner awareness and providing accessible, relevant training that addresses perceived effort and demonstrates clear performance advantages.
What were the main findings?
Practitioners exhibit poor awareness of BIM.. There is a low willingness among practitioners to independently acquire new BIM knowledge.. The actual use of BIM in projects is currently low.. No post-construction maintenance projects have utilized BIM technology.
What research method was used?
Quantitative survey research.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Journal of Advanced Research in Applied Sciences and Engineering Technology.
What should I do differently in my next project?
When introducing new technologies in a market, assess existing awareness levels and develop a comprehensive strategy that includes education, demonstration of benefits, and support for skill development.
What are the limitations?
The study focused on a specific region (Guangxi) and may not represent the entire Southern China or national cost engineering landscape. The reliance on self-reported data through online questionnaires could introduce biases.