A Critical Review of Measures of Innovativeness | Zendy

Jessica Menold | Zendy; Kathryn Jablokow | Zendy; Şenay Purzer | Zendy; Daniel Ferguson | Zendy; Matthew Ohland | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Critical Review of Measures of Innovativeness

Author(s) -

Jessica Menold,

Kathryn Jablokow,

Şenay Purzer,

Daniel Ferguson,

Matthew Ohland

Publication year - 2020

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--19933

Subject(s) - creativity , construct (python library) , scale (ratio) , benchmark (surveying) , knowledge management , work (physics) , computer science , measure (data warehouse) , marketing , engineering , psychology , business , mechanical engineering , physics , quantum mechanics , social psychology , geodesy , database , programming language , geography

Understanding, evaluating, and promoting individual innovativeness is a critical step in cultivating engineering leaders for the future. As a means of evaluating the gaps in current research related to innovativeness assessment, this paper analyzes ten measures and models of innovativeness through two lenses: (1) their internal vs. external point of reference (i.e., attribute vs. action); and (2) their relationship to key elements of cognitive function (i.e., cognitive level, style, and affect). From this review, it is clear that a comprehensive, rigorously validated psychometric instrument does not yet exist to assess the aptitudes, skills, knowledge, personal traits, and behaviors that are indicative of an innovative engineer. This work highlights the potential for such an instrument to help transform engineering education by enhancing student insights about innovation across programs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research