Identification and classification of behavioural indicators to assess innovation competence

María Jose Pérez Peñalver, Lourdes E. Aznar Mas, Begoña Montero Fleta


Purpose: Taking a literature review as a point of departure, the main aim of this paper was the identification of the behavioural indicators of innovators at the workplace, and their classification. 

Design/methodology/approach: A literature review was addressed by means of a search in Elsevier’s Scopus, Web of Science and Google Scholar. By applying inclusive and exclusive criteria, references were obtained with the search protocol. After filtering and scanning, there was a selection of references plus other articles added by the snowball effect. The final phase undertaken was the classification of the main indicators raised in the publications selected.

Findings: Our main contribution was the identification of the behavioural indicators of innovators at the workplace and their classification in five dimensions.

Practical implications: This research may yield some light on the assessment of innovative workplace performance of individuals in organisations, as well as on the development of the innovative competence of students in academic institutions as a challenge to meet the needs of both professionals and Higher Education institutions.

Originality/value: Some authors have studied the characteristics of innovative people mainly focusing on cognitive abilities, personality, motivation and knowledge. We have sought to offer a better understanding of the phenomenon of individual innovation in organisations, through the analysis of behavioural indicators, an issue that has not been studied from this perspective previously.


innovation, innovation competence, individual innovation, innovative work behaviour, behavioural indicators, model of innovation competence, literature review, soft competencies, Innovation management in operations

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Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2024

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience