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http://ssrn.com/abstract=1780290
 
 

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Empirical Regularity in Academic Research Productivity Patterns in Marketing


Debabrata Talukdar


State University of New York at Buffalo - School of Management

Vijay Ganesh Hariharan


Erasmus University Rotterdam (EUR) - Department of Business Economics

Chanil Boo


University of North Carolina (UNC) at Chapel Hill - Marketing Area

March 23, 2011

International Journal of Research in Marketing, 2011

Abstract:     
In any academic discipline, published articles in respective journals represent “production units” of scientific knowledge, and bibliometric distributions reflect the patterns in such productivity across authors or "producers." We use a comprehensive data set from 11 leading marketing journals to examine if there is any empirical regularity in the patterns of research productivity in the marketing literature. Our results present strong evidence that there is indeed a distinct empirical regularity. It is the so called generalized Lotka’s Law of scientific productivity pattern: the number of authors publishing n papers is about 1/n^c of those publishing one paper. We find the empirically estimated value of the exponent c to be 2.05 for the overall bibliometric data across the leading marketing journals. For the individual journals, the estimated values of c range from 2.15 to 2.83, with lower values indicating higher authorship concentration levels. We also find that variations in authorship concentration levels across journals and over time are driven by a journal’s maturity, topical focus, attractiveness as a publication outlet, review process characteristics, and the extent of author collaboration present. We discuss the general implications of our findings.

Number of Pages in PDF File: 30

Keywords: Scientific Productivity, Bibliometric Distributions, Lotka’s Law, Empirical Regularity, Cumulative Advantage, Author Concentration

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Date posted: March 7, 2011 ; Last revised: March 25, 2011

Suggested Citation

Talukdar, Debabrata and Hariharan, Vijay Ganesh and Boo, Chanil, Empirical Regularity in Academic Research Productivity Patterns in Marketing (March 23, 2011). International Journal of Research in Marketing, 2011. Available at SSRN: http://ssrn.com/abstract=1780290

Contact Information

Debabrata Talukdar (Contact Author)
State University of New York at Buffalo - School of Management ( email )
Buffalo, NY 14260
United States
Vijay Ganesh Hariharan
Erasmus University Rotterdam (EUR) - Department of Business Economics ( email )
Netherlands
Chanil Boo
University of North Carolina (UNC) at Chapel Hill - Marketing Area ( email )
Chapel Hill, NC 27599
United States
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