Artikel
Identification and classification of behavioural indicators to assess innovation competence
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.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 11 ; Year: 2018 ; Issue: 1 ; Pages: 87-115 ; Barcelona: OmniaScience
- Klassifikation
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Management
- Thema
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individual innovation
innovative work behaviour
behavioural indicators
literature review
soft competencies
innovation management in operations
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Pérez-Peñalver, María Jose
Aznar-Mas, Lourdes E.
Montero-Fleta, Begoña
- Ereignis
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Veröffentlichung
- (wer)
-
OmniaScience
- (wo)
-
Barcelona
- (wann)
-
2018
- DOI
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doi:10.3926/jiem.2552
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Pérez-Peñalver, María Jose
- Aznar-Mas, Lourdes E.
- Montero-Fleta, Begoña
- OmniaScience
Entstanden
- 2018
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