Each year, the Journal of the Academy of Marketing Science selects a paper published in the preceding year to receive the Sheth Foundation Best Paper Award. Based on a shortlist selected by the Area Editors of the top 5 papers published in JAMS in 2016, the journal’s Editorial Review Board selected "Adaptive personalization using social networks" by Tuck Siong Chung, Michel Wedel, and Roland T. Rust as the best paper in JAMS for 2016. The paper is available at http://link.springer.com/article/10.1007/s11747-015-0441-x.

The five finalists for the award included:

• Best paper) "Adaptive personalization using social networks" by Tuck Siong Chung, Michel Wedel, and Roland T. Rust (http://link.springer.com/article/10.1007/s11747-015-0441-x)
• Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity" by Shuba Srinivasan, Oliver J. Rutz, and Koen Pauwels (http://link.springer.com/article/10.1007/s11747-015-0431-z)
• Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies" by Clay M. Voorhees, Michael K. Brady, Roger Calantone, and Edward Ramirez (http://link.springer.com/article/10.1007/s11747-015-0455-4)
• Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing" by V. Kumar, Ashutosh Dixit, Rajshekar (Raj) G. Javalgi, and Mayukh Dass (http://link.springer.com/article/10.1007/s11747-015-0426-9)
• Brand architecture strategy and firm value: how leveraging, separating, and distancing the corporate brand affects risk and returns" by Liwu Hsu, Susan Fournier, and Shuba Srinivasan (http://link.springer.com/article/10.1007/s11747-014-0422-5)

The full archive of papers published in 2016 can be accessed at

http://link.springer.com/journal/volumesAndIssues/11747.

Rob Palmatier

Editor-in Chief of Journal of the Academy of Marketing Science

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