Dr. V. Kumar was recently named as one of the finalist for the 2009-10 ISMS Practice Prize Award. Each year the INFORMS Society for Marketing Science holds a Practice Prize Competition which is awarded for an outstanding implementation of marketing science concepts and methods. The methodology used must be sound and appropriate to the problem and organization, and the work should have had significant, verifiable, and quantitative impact on the performance of the client firm.
Dr. Kumar was declared as a finalist for this award in recognition of the research study titled, "Uncovering Implicit Consumer Needs for Determining Explicit Product Positioning: Growing Prudential Annuities' Variable Annuity Sales" he undertook along with his colleague - Dr. Denish Shah, Georgia State University. The study involved the development and implementation of the "Emotion Quotient" (EQ) Tool for Prudential, in an effort to help solve their challenge of achieving meaningful product differentiation and to increase the sales of their variable annuities. The EQ Tool enabled Prudential to redefine its marketing and sales approach along a proactive (as opposed to responsive) market orientation paradigm. This implementation enabled Prudential to gain over $450 million lift in variable annuity sales and contributed to consumer welfare by promoting awareness of behavioral risk to investors who are within five years of their retirement. Read more about this study here.
The README.TXT file is located in the \CASEDAT subdirectory and contains information on the format of the data for the cases to accompany MARKETING RESEARCH. There are 8 data files in this subdirectory in addition to the README.TXT file. All the files in the subdirectory are ASCII text files which pertain to four cases from the text: PG&E(B), New Food, Vancouver Symphony Orchestra and Pepsi Cola. Various formats have been used for the data in each case to facilitate their use with different languages (Fortran) or different software packages (Minitab, SPSS,Minitab). You may choose the format best suited to you.
The file contains the following variables:
ID = RESPID
Will = y1
Govt = y2
Train = x5
Size = x1
Exp = x6
Rev = x2 (Thousand of Dollars)
Years = x3
Prod = x4
Note1: export.sav (SPSS version of export data) can be opened with SPSS Student or Professional version of the software.
Note2: This data set contains the full 120 observations. The data set in the text book is an abbreviated version containing 60 observations.
Note3: If you are using Internet Explorer, you may click on the link above directly. Netscape Navigator users may have to right click on the link and save the target file into their hard disk and then open.