Which Modeling Scholars Get Promoted, and How Fast?

César Zamudio () and Meg Meng ()

Customer Needs and Solutions, 2015, vol. 2, issue 1, 104 pages

Abstract: The future of quantitative marketing is defined by its research output as much as by the researchers who produce it. Yet, little is known about the determinants of promotion and time to promotion among quantitative marketing scholars (or “modelers”) as well as whether their early signals of attractiveness in the job market are indicative of future success. In this article, we shed light on these issues by investigating the roles that research productivity, departmental characteristics, demographics, and coauthorship play in determining promotion and time to promotion from assistant to associate professor. We find that early signals of attractiveness do not play an important role in determining modelers’ promotion and time to promotion. Research productivity does, and its effect is moderated by whether modelers are employed in departments that offer Ph.D. programs. We also find that membership in various coauthorship social networks, or “communities”, is a robust predictor of promotion and time to promotion. Copyright Springer Science+Business Media New York 2015

Keywords: Research productivity; Coauthorship; Academic promotion; Social networks; Quantitative marketing (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s40547-014-0030-z (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:custns:v:2:y:2015:i:1:p:91-104

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40547

DOI: 10.1007/s40547-014-0030-z

Access Statistics for this article

Customer Needs and Solutions is currently edited by Min Ding

More articles in Customer Needs and Solutions from Springer, Institute for Sustainable Innovation and Growth (iSIG)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().