An Analysis of Product Lifetimes in a Technologically Dynamic Industry
Management Science
Combinatorial data analysis: optimization by dynamic programming
Combinatorial data analysis: optimization by dynamic programming
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Pattern Recognition Letters
Solving the Convex Cost Integer Dual Network Flow Problem
Management Science
Identifying early buyers from purchase data
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Methodologies and Algorithms for Group-Rankings Decision
Management Science
Country credit-risk rating aggregation via the separation-deviation model
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Ranking sports teams and the inverse equal paths problem
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
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Databases are a significant source of information in organizations and play a major role in managerial decision-making. This study considers how to process commercial data on customer purchasing timing to provide insights on the rate of new product adoption by the company's consumers. Specifically, we show how to use the separation-deviation model (SD-model) to rate customers according to their proclivity for adopting products for a given line of high-tech products. We provide a novel interpretation of the SD-model as a unidimensional scaling technique and show that, in this context, it outperforms several dimension-reduction and scaling techniques. We analyze the results with respect to various dimensions of the customer base and report on the generated insights.