INFORMS Releases

ORLANDO, FL, March 17, 2016 – Nearly 1,000 of the leading minds and visionaries in the fields of analytics and operations research will converge in Orlando, Florida, April 10-12 for a unique conference dedicated to mastering business analytics strategies and tactics that drive innovation and benefit society in new and exciting ways.

CATONSVILLE, MD, March 15, 2016 – When it comes to getting a loan – even for those without a credit history – it helps to have financially responsible friends on one’s social network, according to a new study forthcoming in the INFORMS journal Marketing Science.

CATONSVILLE, MD, April 28, 2015 - A new study published in Marketing Science reveals that double-digit revenue growth accrues to firms that create brand-specific own online communities. The study, titled “Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community,” was conducted by professors Puneet Manchanda at the University of Michigan, Grant Packard at Wilfrid Laurier University, and Adithya Pattabhiramaiah at Georgia Tech.

CATONSVILLE, MD, March 20, 2015 - A new study finds that most firms do not use a Skimming or Penetration Strategy to price new products. The study will be published in Marketing Science, and is titled, “Skimming or Penetration? Strategic Dynamic Pricing for New Products”. The research was conducted by Martin Spann, professor at Ludwig-Maximilians-University Munich (Germany), Marc Fischer, professor at the University of Cologne (Germany) and the University of Technology Sydney (Australia), and Gerard J. Tellis, professor at the Marshall School of Business, University of Southern California.

CATONSVILLE, MD, February 3, 2015 - Marketing managers traditionally segment customers by three summary measures: recency – how long since their last visit, frequency – how often they visit, and monetary value – how much they spend on a visit (also known as the RFM model).   An upcoming Marketing Science paper by Yao Zhang, Eric Bradlow and Dylan Small shows that in contrast to this traditional segmentation, one based on “binge consumption” is worth more in the long run. Binge consumption is characterized by bursts of heavy buying interspersed by little or no buying. The authors call this pattern of consumption “clumpiness.”