Abstract

http://ssrn.com/abstract=365180
 
 

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Improving the Quality of Corporate Household Data: Current Practices and Research Directions


Stuart Madnick


Massachusetts Institute of Technology (MIT) - Sloan School of Management

Richard Y. Wang


Massachusetts Institute of Technology (MIT)

Frank Dravis


Firstlogic Inc.

Xinping Chen


Bose Corporation

November 2001

MIT Sloan Working Paper No. 4398-01

Abstract:     
Corporate household data not only refers to the strict hierarchical structure about and within the corporation, but also the variety of inter-organizational relationships. It is becoming increasingly important for many purposes ranging from CRM and ERP applications, to risk management, supply chain management, and marketing. We propose conceptual definitions for corporate household, corporate household knowledge, and corporate household knowledge processor. After describing research challenges and conceptual definitions, we summarize current practices and approaches. We then present a two-part plan: (1) continue our qualitative research to describe the various different sources, views, and purposes for corporate household data, including the rules used in each case; (2) apply the context interchange theory to represent the corporate household data and underlying knowledge and enable the context mediation technology to correctly understand and reason about both the context of the sources and the context of the user's query about corporate household data.

Number of Pages in PDF File: 14

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Date posted: January 4, 2003  

Suggested Citation

Madnick, Stuart and Wang, Richard Y. and Dravis, Frank and Chen, Xinping, Improving the Quality of Corporate Household Data: Current Practices and Research Directions (November 2001). MIT Sloan Working Paper No. 4398-01. Available at SSRN: http://ssrn.com/abstract=365180 or http://dx.doi.org/10.2139/ssrn.365180

Contact Information

Stuart E. Madnick (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)
Richard Y. Wang
Massachusetts Institute of Technology (MIT) ( email )
E53-317
Cambridge, MA 02139
United States
617-253-0442 (Phone)
617-253-3321 (Fax)
Frank Dravis
Firstlogic Inc. ( email )
100 Harborview Plaza
La Crosse, WI 54601-4071
United States
Xinping Chen
Bose Corporation ( email )
The Mountain
Framingham, MA 01701-9168
United States
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