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CALL FOR PAPERS

2005 International Workshop on Customer Relationship Management:

 Data Mining Meets Marketing

November 18-19, 2005, New York City, USA

(www.stern.nyu.edu/crmworkshop)

 

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This is the first multidisciplinary workshop on Customer Relationship Management (CRM). We aim to bring together researchers and practitioners from technological and business areas to promote an interdisciplinary focus on CRM. In the last decade, CRM emerged to reflect the central role of customers for the strategic positioning of a company. Its goal is not just to offer excellent products and services but to get, keep and grow the best customers and to treat different customers differently. CRM takes a holistic view of customers. It encompasses all measures of understanding the customers and of exploiting this knowledge to design and implement marketing activities, align production and coordinate the supply-chain. CRM emphasizes the coordination of such measures and integration of customer-related data, meta-data and knowledge, and the centralized planning and evaluation of measures to increase customer lifetime value. To achieve these objectives, CRM solutions should integrate marketing, technical, and operational problems into one synergistic system. Although this point of view has been adopted by all the major CRM vendors, including Oracle, Microsoft, Siebel, SAP and Teradata, who develop their CRM products from both technological and marketing perspectives, the academic community primarily focused on the CRM aspects pertaining to their academic disciplines with limited interactions across the disciplines. The aim of this workshop is to break these “technology” and “marketing” silos and to bring together researchers and practitioners from related research communities to interact with one another, to share problems, to present new results and ultimately to generate innovative ideas. We strongly believe that such interactions are crucial for making major progress in this interdisciplinary field. Therefore, in this first workshop, we particularly want to engage researchers from Marketing, Information Systems and Computer Science communities. Strong industrial participation is also expected. To bridge the academic divide between different communities, we encourage researchers from one discipline to focus not only on the CRM problems pertaining to their discipline, but also to address implications for other disciplines arising from their studies.

 

We invite submissions on the following and other topics pertaining to CRM:

 Customer segmentation methods  Customers as assets
 Building customer models and profiles  Customer retention strategies and campaign management
 Mining structured, semi-structured and unstructured data Generation and management of lists of customers
 Mining e-commerce clickstream/usage data  Models and metrics for valuing customers over their life time
 Event monitoring and triggering  Interactive marketing and selling strategies and methods
 Collecting, extracting, analyzing consumer opinion data  Cross- and up-selling strategies and methods
 Collecting, integrating, organizing, storing customer data  Customer service management
 Personalization and recommender systems  Managing customer interaction cycle (including Web based)
 Contact center modeling; analysis of contact center data  Mass customization
 Discovering trends and customer intelligence  Contact management and lead capture
 Visualization of customer data  Self-service and e-CRM
 Methods for building learning relationships with customers  Flexible (dynamic) pricing

 

SUBMISSION GUIDELINES: Submitted papers should not exceed 10 pages, single-spaced, single column, 12 point font, including all figures, tables, and references. Please email your paper in the PDF format to crm.marketing@stern.nyu.edu (marketing track) and crm.technical@stern.nyu.edu (data mining track).

PUBLICATIONS: Accepted papers will be initially published as workshop notes and distributed during the workshop. Expanded and revised versions will be published in a book (Publisher to be announced shortly).

IMPORTANT DATES:

 Submission Deadline:  June 20th, 2005  Notification:  August 20, 2005
 Camera-ready due:  September, 20, 2005  Workshop Dates:  November 18-19, 2005


WORKSHOP CHAIRS:

 Alexander Tuzhilin, New York University, USA  Russ Winer, New York University, USA

 

ORGANIZERS:

 Data Mining

 Marketing

 Bing Liu, University of Illinois at Chicago, USA  Eitan Muller, NYU and Tel Aviv University, Israel
 Myra Spiliopoulou, University Magdeburg, Germany  Venky Shankar, Texas A&M University, USA
 Jaideep Srivastava, University of Minnesota, USA  Joel Steckel, New York University, USA


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