Climate for inclusion has captured the attention of management scholars as well as practitioners due to the positive effects inclusive climates have on organizations. Prior research has shown that a strong climate for inclusion leads to desirable outcomes such as increased organizational commitment, job satisfaction, and creativity, as well as a decrease in intent to turnover (e.g., Acquavita et al., 2009; Groeneveld, 2011; Choi & Rainey, 2010; Pitts, 2009). However, the field is lacking understanding of the factors that impact inclusion climate (Guillaume et al., 2014). To answer this call for inclusion climate formation research, this dissertation considers the relationship between supervisor perceptions of organizational rationale for diversity and climate for inclusion, moderated by organizational structure (formalization and communication) as well as supervisor and unit diversity orientation. Ely and Thomas' diversity perspectives and strategy framework (2001) suggests four rationales for diversity along with four complimentary strategies. This dissertation empirically tests the validity of this widely utilized diversity perspectives framework by first developing a 13- item measure for organizational rationale for diversity, then by investigating its relationship with inclusion climate. A second order factor structure with three first order factors resulted from confirmatory factor analysis of the organizational rationale for diversity measure. A sample of 22 work units with 95 employees from across the United States provided no support for the primary hypothesis that more inclusive supervisor perceptions of organizational rationale for diversity, along with the Integration-and-Learning rationale, would have a significant relationship with inclusion climate.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-7837 |
| Date | 01 January 2019 |
| Creators | Leonard, Stephanie |
| Publisher | University of Central Florida |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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