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Reputation as Information: A Multilevel Approach to Reputation in Organizations

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2010, Doctor of Philosophy, Ohio State University, Labor and Human Resources.
Research on reputation has taken a variety of disparate approaches that has created conceptual confusion. This dissertation attempts to disentangle and clarify the reputation construct by elucidating the definition, introducing a theoretical framing, establishing a new level of analysis and investigating interactive effects. A multilevel approach of studying reputation is introduced and serves as a guide for the dissertation in directing the focus on the three main purposes of this study. First, the theoretical foundations of similarity among multiple levels of reputation are established through the development of a “Reputation as Information” framework. Second, a new proximal contextual construct of unit level of reputation is introduced and explored. As such, this study describes the antecedents and outcomes associated with the more proximal level of unit reputation. Third, cross-level effects of the “big fish in the little pond” and the “little fish in the big pond” (personal and unit level reputation) on individual outcomes are investigated. The procedures used to study these issues included gathering organizational data in a field study using employee surveys, supervisor surveys, and obtaining archival information from the company. These data were analyzed using multiple regression, hierarchical linear modeling, and multiple mediation models. Results establish the unit level of reputation as a construct of interest for organizational studies because of its influences on important outcomes such as satisfaction, organizational citizenship behaviors, and motivation. The results also indicate the cross-level effects of having a high or low personal reputation in a group with either a high or low unit reputation. In particular, the results demonstrate that the interaction of personal and unit reputation can influence how engaged employees are in their work role as well as the amount that employees identify with a group. Engagement and identity further relate to important employee outcomes including performance and mobility.
Steffanie Wilk (Advisor)
David Greenberger (Committee Member)
Roy Lewicki (Committee Member)
238 p.

Recommended Citations

Citations

  • Coyne, E. (2010). Reputation as Information: A Multilevel Approach to Reputation in Organizations [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276696814

    APA Style (7th edition)

  • Coyne, Erin. Reputation as Information: A Multilevel Approach to Reputation in Organizations. 2010. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1276696814.

    MLA Style (8th edition)

  • Coyne, Erin. "Reputation as Information: A Multilevel Approach to Reputation in Organizations." Doctoral dissertation, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276696814

    Chicago Manual of Style (17th edition)