Journal article
Understanding Co-Authorship among Consumer Behavior Scholars
Journal for advancement of marketing education, Vol.24(1), pp.1-13
04/01/2016
Abstract
Purpose of the Study: To understand co-authorship habits among a set of consumer behavior scholars. We analyze the consumer behavior community and shed light on why these scholars co-author. Method/Design and Sample: Our data covers all issues of the Journal of Consumer Psychology and the Journal of Consumer Research to December 2014, totaling 2,698 articles with 5,951 author credits. We describe the data and community characteristics. We advance the literature by using modern social network analysis techniques to map a social network and provide social network metrics across two journals using over 40 years of data. Results: We show the distribution of authorship of papers, highlight co-authorship habits, and illustrate rising co-authorship over time. We reveal the most connected scholars, and those with critical connections. The community is surprisingly coherent; while most only publish one paper, 72% of scholars are connected by co-authorship. We highlight what we term active collaboration between the hyper-productive scholars, and demonstrate how inter-generational collaboration works through a school's network. Value to Marketing Educators: Marketing educators will benefit from the descriptive data we provide to aid administrative and career decisions. We show the network of co-authorship and provide benchmarks for marketing academics. We illustrate that consumer behavior is a meaningful community and provide evidence why scholars collaborate.
Details
- Title: Subtitle
- Understanding Co-Authorship among Consumer Behavior Scholars
- Creators
- Neil BendleXin (Shane) WangFeng Mai
- Resource Type
- Journal article
- Publication Details
- Journal for advancement of marketing education, Vol.24(1), pp.1-13
- Publisher
- Marketing Management Association
- ISSN
- 2326-3296
- eISSN
- 1537-5137
- Language
- English
- Date published
- 04/01/2016
- Academic Unit
- Business Analytics
- Record Identifier
- 9984702725302771
Metrics
1 Record Views