EMAC Best Paper Award Based on a Doctoral Dissertation

Best Paper Award based on  Doctoral Work at the EMAC Annual Conference

2021

sh

Saleh Shuqair

NOVA Information Management School

Paper : “Personal Vs. Commercial Peer Service Providers”


2018

somosi

Agnes Somosi
Corvinus University of Budapest

Paper:"Customer retention drivers in case of service elimination and post-elimination customer behavior: An empirical investigation in telecommunications" 


2017

Khimina

Svetlana Khimina
Bocconi University

Paper: "Design Innovativeness: Concept and Effect on Performance"


2016

adams

Carmen Adams
University of Hasselt

Paper: "The Effect Of Crossmodal Congruency Between Ambient Scent And The Store Environment On Consumer Reactions"


2015

hong

Sungtak Hong
Bocconi University

Paper: "Product Variety as a Reactive and Preemptive Response to Entry"


2014

lotfi

Nooshin Lotfi
Texas A&M University

Paper: "Diminishing Returns To New Product Announcements: How The Past Shapes Investors’ Expectations Of Firms’ Innovative Output"


2013

liesbet

Liesbet Van Den Driessche
University College Ghent

Paper: "The Curious Case Of Curiosity : Unpleasant Advertising And Curiosity"


2012

Heuvinck

Lukas Beck
University of St. Gallen

Paper: "The Impact of Recalls on Customer Acquisition and Customer Retention
in the Automobile Industry"


2011

Nico Heuvinck
Ghent University

Paper: “Folks, Listen Up! My Words Matter…to Me At Least. Coping With Ambivalence Through Spreading Word-of-Mouth"


2010

Andre Bielecki
Kiel University

Paper: "An Individual Level Decomposition Of Salesperson Performance Using A Three Component Model"


2009

seshadri

Seshadri Tirunillai
University of Southern California

Paper: “Online Consumer Generated Word-of-mouth and Financial Performance of the Firm ”


2008

valentini

Sara Valentini
University of Bologna

Paper: "Customer Evolution In Sales Channel Migration"


2007

bucklin

rutz

Randolph E. Bucklin & Oliver J. Rutz
University of California, Los Angeles

Paper: : "A Model of Individual Keyword Performance in Paid Search Advertising"