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MARKETING STRATEGY BEYOND THE FIRM BOUNDARY: ESSAYS EXAMINING THE EFFECTS OF SOCIAL NETWORKS ON FIRM PERFORMANCE

Thomaz, Felipe (2014) MARKETING STRATEGY BEYOND THE FIRM BOUNDARY: ESSAYS EXAMINING THE EFFECTS OF SOCIAL NETWORKS ON FIRM PERFORMANCE. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

This dissertation is comprised of two essays that incorporate social networks into the analyses of marketing strategies and phenomena to develop a deeper and more nuanced understanding of the marketing environment, and to enhance manager’s ability to forecast a firm or brand’s performance in the digital domain. The first essay explores the impact of marketing alliance announcements on firm equity risk given a network of previous strategic alliances for both a focal firm and its partner. Results confirm a widely held belief in the literature that marketing alliances have risk-reducing benefits, but only for those alliances involving a new partner. Furthermore, at high levels, the interconnectedness of partners or density of a firm’s network can cause idiosyncratic risk to increase, while the density of a partner’s network can also result in increases in systematic risk of a firm after alliance formation. The second essay proposes a novel method for using social media monitoring in a forward-looking manner to forecast brands’ future online WOM valence. The method infers associative relations between brands from social media monitoring data by observing which brands are mentioned at the same time in the same social media sources. This is used to construct time-varying brand “networks” from which forecasting variables are extracted. The method is empirically validated on social media monitoring data for 77 major consumer electronics brands over 16 months, and provides reasonably accurate forecasts for positive and, in particular, negative WOM valence.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Thomaz, FelipeFCT2@PITT.EDUFCT2
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee MemberHulland, Johnjhulland@uga.edu
Committee MemberInman, Jeffreyjinman@katz.pitt.eduJINMAN
Committee MemberStephen, Andrew Tastephen@katz.pitt.eduASTEPHEN
Committee MemberVenkatesh, R.rvenkat@katz.pitt.eduRVENKAT
Committee ChairSwaminathan, Vanithavanitha@katz.pitt.eduVAS4
Date: 25 September 2014
Date Type: Publication
Defense Date: 6 May 2014
Approval Date: 25 September 2014
Submission Date: 22 May 2014
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 107
Institution: University of Pittsburgh
Schools and Programs: College of Business Administration > Marketing
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Social Networks, Firm Performance, Marketing Performance, Word-of-Mouth, Hierarchical Linear Models
Date Deposited: 25 Sep 2014 19:35
Last Modified: 15 Nov 2016 14:20
URI: http://d-scholarship.pitt.edu/id/eprint/21661

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