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CONFLICT MANAGEMENT The Psychology of conflict and conflict ...

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11. ORGANIZATIONAL DISPUTE RESOLUTION SYSTEMS 345<br />

or employee usage. Yet greater attention to how the adoption <strong>of</strong> an ODR<br />

system within a firm links to employee usage would be informative. Similarly,<br />

future research could examine ODR system effectiveness at multiple<br />

levels <strong>of</strong> analyses (e.g., for the firm, work group, or individual). This would<br />

be particularly enlightening in helping to resolve the somewhat separate<br />

research streams that have shown positive outcomes for firms adopting<br />

ODR systems (e.g., lower quit rates) but negative consequences for individuals<br />

utilizing such systems (e.g., higher turnover). Such research would<br />

require comparing across organizations but also taking into account the<br />

individual processes involved in using ODR systems.<br />

<strong>The</strong> tendency for prior ODR research to focus on either micro issues<br />

or macro issues, in large parts, has been due to the tendency for researchers<br />

in specific disciplines to approach ODR from differing perspectives<br />

with different research questions. That is, I/O psychologists tend to be<br />

interested in individuals or groups <strong>of</strong> individuals while economists <strong>and</strong><br />

industrial relations scholars tend to focus on the firm <strong>and</strong>/or bargaining<br />

unit. We would hope researchers continue to look to <strong>and</strong> draw from disciplines<br />

outside <strong>of</strong> their own to underst<strong>and</strong> ODR systems. Interdisciplinary<br />

approaches to research are most likely to lead to a fuller underst<strong>and</strong>ing<br />

<strong>of</strong> the practice <strong>and</strong> effectiveness <strong>of</strong> ODR systems <strong>and</strong> provide the greatest<br />

insight on the implications for workers, organizations, <strong>and</strong> public policy.<br />

<strong>The</strong>re have also been practical considerations contributing to the<br />

micro–macro disconnect. When focused on the individual level <strong>of</strong> analysis,<br />

researchers can easily gain access to many individuals within one<br />

organization, but not across more than one organization. When organizational-level<br />

research is designed, researchers tend to focus on archival<br />

firm data (e.g., quit rates <strong>and</strong> grievance rates) <strong>and</strong>/or find it easier to<br />

identify one or a small number <strong>of</strong> respondents to report on the organization’s<br />

practices <strong>and</strong> outcomes. In addition to the access issue, multilevel<br />

research in the past has been limited by the statistical techniques available<br />

to researchers. However, recent developments in this area are likely<br />

to enable future research to better assess multilevel issues. For instance,<br />

more complex statistical techniques, such as repeated-measures regression<br />

<strong>and</strong> hierarchical linear modeling (cf., H<strong>of</strong>mann, 1997; Koslowski &<br />

Klein, 2000), are increasing in use. <strong>The</strong>se techniques enable researchers<br />

simultaneously to tease out individual-, group-, <strong>and</strong> organizational-level<br />

effects. From a design st<strong>and</strong>point, firms may be increasingly amenable<br />

to conducting research across sites in order to gain an underst<strong>and</strong>ing <strong>of</strong><br />

the determinants <strong>of</strong> high versus low performing units. Focusing on the<br />

establishment level (cf. Batt et al., 2002) <strong>and</strong> individuals within a firm’s<br />

various establishments is perhaps the most feasible <strong>and</strong> useful avenue to<br />

bridge the micro-macro gulf. We expect that as more multilevel data sets<br />

become available <strong>and</strong> researchers become well versed in multilevel statistical<br />

techniques, we will see more cross-level research.<br />

In the past few decades, we have witnessed an evolution <strong>of</strong> ODR systems<br />

in both practice <strong>and</strong> theory. Though recent research has contributed

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