2009
DOI: 10.1080/13562510903186659
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Making a mess of academic work: experience, purpose and identity

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Cited by 66 publications
(38 citation statements)
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“…The majority of staff employ this strategy to keep up with work. Malcolm and Zukas (2009) note that universities 'would collapse if academics took seriously the "notional" hour allocation' for work (p. 496). Working outside 'normal' hours has long been part of some academics' lives, but as the bar is raised higher, and as work-life boundaries become more blurred through information communication technology (ICT) accessibility, this becomes more pervasive (Pocock, 2010).…”
Section: Strategies For Quality Teaching With High Workloadsmentioning
confidence: 97%
“…The majority of staff employ this strategy to keep up with work. Malcolm and Zukas (2009) note that universities 'would collapse if academics took seriously the "notional" hour allocation' for work (p. 496). Working outside 'normal' hours has long been part of some academics' lives, but as the bar is raised higher, and as work-life boundaries become more blurred through information communication technology (ICT) accessibility, this becomes more pervasive (Pocock, 2010).…”
Section: Strategies For Quality Teaching With High Workloadsmentioning
confidence: 97%
“…Malcolm and Zukas (2009) argue that academics construct identities as part of several communities -for example, their disciplinary community, their departmental working group, and their research team. Trowler and Knight (2000) suggest that 'project identities' develop as academics become involved with particular interest or research groups.…”
Section: Studies In Higher Educationmentioning
confidence: 99%
“…Surveillance is certainly a negative word for autonomous academics. At first, the time allocation system was perceived as being too complicated, since it is not easy to say how many hours you spend on each task, or to differentiate one task from another (see Malcolm and Zukas 2009). Furthermore, it was seen as having no purpose other than surveillance.…”
Section: Data and Analysismentioning
confidence: 97%