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<title>Melbourne Business School</title>
<copyright>Copyright (c) 2009 Melbourne Business School All rights reserved.</copyright>
<link>http://works.bepress.com/mbs</link>
<description>Recent documents in Melbourne Business School</description>
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<lastBuildDate>Sun, 08 Nov 2009 07:19:09 PST</lastBuildDate>
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<title>How unions impact on the state of the psychological contract to facilitate the adoption of new work practices</title>
<link>http://works.bepress.com/carol_gill/19</link>
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<pubDate>Wed, 04 Nov 2009 18:39:59 PST</pubDate>
<description>This article draws together empirical research in the psychological contract, trust, unions and NWP literatures to draw conclusions on the way in which unions impact on NWP.    It finds that strong unions that have a co-operative relationship with management prevent and heal breaches in the psychological contract and facilitate a virtuous trust cycle that is important to the implementation of NWP.  This has significant implications for theory and practice, particularly in anti-union institutional contexts that are focused on union avoidance, suppression and substitution.</description>

<author>Carol Gill</author>


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<title>Bootstrap P-values in Discrete Models: Asymptotic and non-asymptotic effects</title>
<link>http://works.bepress.com/chris_lloyd/17</link>
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<pubDate>Mon, 02 Nov 2009 18:28:14 PST</pubDate>
<description>(This paper is a major revision of http://works.bepress.com/chris_lloyd/15/.) Standard first order P-values suffer from two important drawbacks. First, even for quite large sample sizes they can misrepresent the exact significance which depends on nuisance parameters unspecified under the null. For most discrete models is that accuracy is variable and breaks down completely at the boundary. Second, different test statistics can give practically different results.The bootstrap P-value is the exact significance with the null maximum estimate (ML) of the nuisance parameter substituted. We show that bootstrap P-values based on different first order statistics differ to second order. We also show that they are appropriately conservative on the boundary. We present numerical evidence that for discrete models mean inferential errors are of O(1/m) rather than O(1/m^(3/2)), as is the case for continuous models. However, worst case errors for bootstrap P-values are an order of magnitude smaller than for first order P-values, even for small sample sizes. The is partly due to boundary effects but may also be related to the way bootstrap  corrects `incorrect' ordering of the sample space. This argument for this feature of bootstrap only holds when the null ML estimate is used.</description>

<author>Chris Lloyd</author>


<category>Exact testing</category>

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<title>High and Low Road Approaches to the management of Human Resources: An Examination of the Relationship between Business Strategy, Human Resource Management and High Performance Work Practices</title>
<link>http://works.bepress.com/carol_gill/18</link>
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<pubDate>Sun, 01 Nov 2009 19:39:27 PST</pubDate>
<description>The Contingency approach to human resource management leads to the hypothesis that High Performance Work Practices (HPWP) are more compatible with 'High Road' business strategies that emphasize product differentiation through quality and innovation. More traditional human resource management is better suited to 'Low Road' business strategies that emphasise cost control and competition based primarily on price. Using data collected from a sample of 179 large Australian workplaces we tested the contingencies that influence HPWP implementation and impact. Our results support the Contingency approach in that High Road organisations are more likely to adopt HPWP and the Universal approach in that both High and Low Road organisations derive equal benefit from the implementation of HPWP. High Road organisations may be more likely to adopt HPWP because they see more benefit from their introduction or they may find it easier to implement HPWP because they have a less prohibitive union presence, a theory Y management attitude and a longer-term time horizon.</description>

<author>Carol Gill</author>


<category>Human Resource Management</category>

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