Microfoundations and measurement for ambiguity in communication with application to social networks

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Extant research often models ambiguity — that one object can have multiple interpretations — as "noise" or "optional" (e.g. McMahan and Evans 2018, Reagans and Zuckerman 2008). This stance is in tension with evidence that ambiguity is common, exists to varying degrees, and is consequential. Ambiguity is therefore better thought of as "more or less" rather than "yes or no". Predictably, literatures that seek to bracket ambiguity find themselves without the analytical tools to specify core theoretical claims and devise measurement strategies. This dissertation works towards taking ambiguity seriously by introducing microfoundations for its analytical specification and a measurement strategy at the level of the word. To demonstrate the benefits and broader ramifications of this orientation, these theoretical and methodological tools are applied to the "brokerage" literature (Burt 1982) to surface, clarify, and resolve a long-standing contradiction: do brokers merely transmit or actively translate?.


Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English


Author Manian, Venkatesan Govind
Degree supervisor Goldberg, Amir
Thesis advisor Goldberg, Amir
Thesis advisor Potts, Christopher, 1977-
Thesis advisor Sorensen, Jesper B, 1967-
Degree committee member Potts, Christopher, 1977-
Degree committee member Sorensen, Jesper B, 1967-
Associated with Stanford University, Graduate School of Business


Genre Theses
Genre Text

Bibliographic information

Statement of responsibility V. Govind Manian.
Note Submitted to the Graduate School of Business.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/cw154vb8832

Access conditions

© 2021 by Venkatesan Govind Manian
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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