Short answer

Leverage bibliometric data analysis to quantitatively model and predict technology maturity, reducing reliance on potentially biased expert opinions.

Field
Modelling
Source
Scientometrics (2018)
Method
Bibliometric analysis and curve fitting
Evidence
Strong effect

A bibliometric method can quantitatively assess technological maturity by analyzing publication and patent trends, offering a less subjective alternative to expert opinion. This modelling research insight is drawn from a 2018 study published in Scientometrics. Using Bibliometric analysis and curve fitting, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Leverage bibliometric data analysis to quantitatively model and predict technology maturity, reducing reliance on potentially biased expert opinions.

Study
ModellingHigh ImpactStrong effect

Bibliometric analysis quantifies technology maturity, reducing expert bias.

A bibliometric method can quantitatively assess technological maturity by analyzing publication and patent trends, offering a less subjective alternative to expert opinion.

Scientometrics · 2018

01

Key Findings

  • 01Bibliometric data from scientific papers and patents exhibit logistic growth for mature technologies.
  • 02News records follow a hype-type behavior, characteristic of emerging technologies.
  • 03Additive manufacturing technologies like material extrusion, material jetting, powder bed fusion, and vat photopolymerization show high maturity (TRL 6-7).
  • 04Directed energy deposition has moderate maturity (TRL 4-5).
  • 05Binder jetting and sheet lamination are the least mature AM technologies (TRL 1-2).
02

Application

Design takeaway

Leverage bibliometric data analysis to quantitatively model and predict technology maturity, reducing reliance on potentially biased expert opinions.

How to apply

When considering a new technology for a design project, gather publication, patent, and news data related to it. Analyze the growth trends of this data over time and compare them to established models of technology life cycles to estimate its maturity.

Project actions

  • 01When researching a technology for your design project, consider how many academic papers and patents exist for it.
  • 02Look for trends in publication dates to see if the technology is rapidly developing, plateauing, or declining in interest.
03

Method & Evidence

AimTo develop and validate a quantitative, bibliometric method for assessing technological maturity, as an alternative to subjective expert-based assessments.
MethodBibliometric analysis and curve fitting
ProcedureThe BIMATEM method was developed by correlating different stages of a technology's life cycle with patterns in scientific literature, patent databases, and news archives. Specific growth behaviors (logistic for mature technologies, hype-type for emerging ones) were identified. The method involves fitting data from technology records to these expected behaviors to determine a maturity level. This was tested on additive manufacturing technologies.
ContextTechnology assessment and innovation management

Variables

IVTime (years), type of publication (scientific paper, patent, news)
DVNumber of publications/patents per year, technology maturity level (TRL)
CVSpecific technology domain (e.g., additive manufacturing), database sources used
04

Strengths & Limitations

Strengths

  • +Provides a quantitative and repeatable method for maturity assessment.
  • +Reduces reliance on subjective expert opinions and potential biases.
  • +Applicable to a wide range of emerging technologies.

Limitations

Access to comprehensive and up-to-date databases can be a challenge. The interpretation of data trends may still require some expert judgment.

Reliability & validity

The reliability of the method is enhanced by its quantitative nature and reliance on structured data. Validity is supported by correlating bibliometric patterns with known technology life cycle behaviors and comparing results to expert assessments.

Think critically

How might the 'hype' cycle observed in news records influence a designer's perception of a technology's actual maturity, and how can BIMATEM help to differentiate between genuine progress and temporary enthusiasm?

05

Design Principles

"Technology maturity can be quantitatively modeled by analyzing the temporal patterns of its documentation in scientific, patent, and news databases."

Understanding the maturity of a technology is crucial for informed decision-making in design projects, from R&D investment to market entry strategies. This approach provides a data-driven framework to de-risk innovation by offering a more objective measure of a technology's readiness.

06

What This Means for Your Design

Imagine you want to know if a new type of battery is ready to be used in a product. Instead of just asking experts, this method looks at how many scientific papers and patents about the battery have been published over the years. If the numbers are growing steadily like a well-established product, it's likely mature. If the numbers are exploding suddenly and then fading, it might be a temporary trend. This helps decide if the battery is reliable enough to use.

How to use in your project

  • 1.Use bibliometric analysis to justify the selection of a particular technology based on its demonstrated maturity and reduced risk.
07

Add to My Project

08

Quick Cite

Paragraph starter

The selection of technologies for this design project was informed by an assessment of their maturity. Utilizing a bibliometric approach, analogous to methods like BIMATEM, allowed for a quantitative evaluation of technological readiness by analyzing trends in scientific publications and patent filings. This data-driven approach provided a more objective basis for technology selection compared to relying solely on expert opinion, thereby mitigating potential risks associated with adopting immature technologies.

09

Source

Scientometrics

A bibliometric method for assessing technological maturity: the case of additive manufacturing

journal · 2018

View source

Questions About This Research

What does the research say about bibliometric analysis quantifies technology maturity, reducing expert bias?
Leverage bibliometric data analysis to quantitatively model and predict technology maturity, reducing reliance on potentially biased expert opinions. Evidence: Scientometrics (2018).
Why does "Bibliometric analysis quantifies technology maturity, reducing expert bias." matter for design?
Understanding the maturity of a technology is crucial for informed decision-making in design projects, from R&D investment to market entry strategies. This approach provides a data-driven framework to de-risk innovation by offering a more objective measure of a technology's readiness.
How can designers apply this research?
Leverage bibliometric data analysis to quantitatively model and predict technology maturity, reducing reliance on potentially biased expert opinions.
What were the main findings?
Bibliometric data from scientific papers and patents exhibit logistic growth for mature technologies.. News records follow a hype-type behavior, characteristic of emerging technologies.. Additive manufacturing technologies like material extrusion, material jetting, powder bed fusion, and vat photopolymerization show high maturity (TRL 6-7).. Directed energy deposition has moderate maturity (TRL 4-5).
What research method was used?
Bibliometric analysis and curve fitting.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2018 journal from Scientometrics.
What should I do differently in my next project?
When considering a new technology for a design project, gather publication, patent, and news data related to it. Analyze the growth trends of this data over time and compare them to established models of technology life cycles to estimate its maturity.
What are the limitations?
The method's accuracy may depend on the comprehensiveness and quality of the databases used. Altmetrics were not considered in this study and could offer further insights.