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

14 Pages Posted: 4 Jan 2003

See all articles by Stuart Madnick

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

Date Written: November 2001

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.

Suggested Citation

Madnick, Stuart E. 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: https://ssrn.com/abstract=365180 or http://dx.doi.org/10.2139/ssrn.365180

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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