2012
DOI: 10.1108/hrmid.2012.04420caa.006
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Workforce age and innovation: a literature survey

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Cited by 20 publications
(28 citation statements)
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“…We discover that, at the individual level, being young and recently educated are significant predictors of entrepreneur innovation whereas, at the societal level, national wealth dampens the negative effect of age on innovation and heightens the positive effect of education on it. Our work, thus, extends the literature on the relationship between age and innovation by showing that younger entrepreneurs are more innovative and, by controlling for education, it establishes that this result is not as influenced by education as thought previously (Frosch, 2011).…”
Section: Discussionsupporting
confidence: 84%
“…We discover that, at the individual level, being young and recently educated are significant predictors of entrepreneur innovation whereas, at the societal level, national wealth dampens the negative effect of age on innovation and heightens the positive effect of education on it. Our work, thus, extends the literature on the relationship between age and innovation by showing that younger entrepreneurs are more innovative and, by controlling for education, it establishes that this result is not as influenced by education as thought previously (Frosch, 2011).…”
Section: Discussionsupporting
confidence: 84%
“…Recent reviews of literature in this journal have begun to contribute to research on difference. For example, age discrimination (Wood et al 2008), age and innovation (Frosch 2011), top team diversity (Nielsen 2010), sexual harassment (McDonald 2011), role models for senior women (Sealy and Singh 2010) and explorations of the maternal body (Gatrell 2011). However, disability, impairment or ableism has not featured as a primary concern within these reviews.…”
Section: Difference Explored Through the Epistemological Projectmentioning
confidence: 99%
“…Similarly, Janssen (2000) found that IWB depends on employees' age. Frosch (2011) found empirical evidence to conclude that the highest level of innovation could be found in employees between the ages of 30 and 50 depending on their area of expertise. Ericsson (1999), Youndt et al (1996) argued that innovation depends very much on the specific combination of knowledge and expertise of employees.…”
Section: Influence Of Demographic Variables On Innovative Work Behaviormentioning
confidence: 99%