Literature DB >> 21875172

Predicting the performance and innovativeness of scientists and engineers.

Robert T Keller1.   

Abstract

A study of 644 scientists and engineers from 5 corporate research and development organizations investigated hypotheses generated from an interactionist framework of 4 individual characteristics as longitudinal predictors of performance and innovativeness. An innovative orientation predicted 1-year-later and 5-years-later supervisory job performance ratings and 5-years-later counts of patents and publications. An internal locus of control predicted 5-years-later patents and publications, and self-esteem predicted performance ratings for both times and patents. Team-level nonroutine tasks moderated the individual-level relationships between an innovative orientation and performance ratings and patents such that the relationships were stronger in a nonroutine task environment. Implications for an interactionist framework of performance and innovativeness for knowledge workers are discussed.

Mesh:

Year:  2011        PMID: 21875172     DOI: 10.1037/a0025332

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  2 in total

1.  Different personal propensities among scientists relate to deeper vs. broader knowledge contributions.

Authors:  Thomas S Bateman; Andrew M Hess
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-02       Impact factor: 11.205

2.  I Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?

Authors:  Stefanie Ringelhan; Jutta Wollersheim; Isabell M Welpe
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

  2 in total

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