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Alternative pathways to high-performance workplaces

Authors: Marc Orlitzky; Stephen J. Frenkel;

Alternative pathways to high-performance workplaces

Abstract

In this paper we outline four high workplace performance models, two of which have high-road or enabling characteristics. These are the strategic human resource management and organizational trust models, respectively. The second two models – the labour process and numerical flexibility models – motivate workers to raise productivity through the use of the stick (coercion) rather than the carrot. Based on a representative survey of Australian workers, we compare these models in terms of their capacity to explain relative workplace productivity. We find that all four models have some explanatory power. However, contrary to expectations, the low-road numerical flexibility model provides the best fit with the data. We interpret this finding by reference to recent evidence of workforce trends indicating the attraction and ability of employers to pursue this pathway toward higher productivity. We conclude with some suggestions for future research that would assist in developing this line of enquiry.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Average
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