A Sender-Receiver Framework for Knowledge Transfer

MIS Quarterly, Vol. 29, No. 2, pp. 197-219, June 2005

23 Pages Posted: 18 Dec 2006

See all articles by Lihui Lin

Lihui Lin

Boston University - Department of Management Information Systems

Xianjun Geng

University of Washington - Department of Management & Organization

Andrew B. Whinston

University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract

Shifts to more distributed forms of organizations and the prevalence of interorganizational relationships have lead to increasing needs for knowledge transfers between entities with asymmetric and incomplete information. Due to such information asymmetry and incompleteness, parties seeking knowledge may not be able to identify qualified knowledge providers, and the appropriate experts may fail to be motivated to engage in knowledge transfers. In this paper, we propose a sender-receiver framework for studying knowledge transfers under asymmetric and/or incomplete information. We outline four types of information structures for knowledge transfers, and focus on the sender-advantage asymmetric information structure and the symmetric incomplete information structure. We develop formal game-theoretical models, show how information incompleteness and asymmetry may negatively influence knowledge transfers, and propose solutions to alleviate these negative impacts. Implications for knowledge transfer research and practice are also discussed.

Keywords: knowledge transfer, knowledge management, incomplete information, asymmetric information, sender-receiver game, game theory

JEL Classification: D82

Suggested Citation

Lin, Lihui and Geng, Xianjun and Whinston, Andrew B., A Sender-Receiver Framework for Knowledge Transfer. MIS Quarterly, Vol. 29, No. 2, pp. 197-219, June 2005, Available at SSRN: https://ssrn.com/abstract=952166

Lihui Lin (Contact Author)

Boston University - Department of Management Information Systems ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States
(617)353-6145 (Phone)

Xianjun Geng

University of Washington - Department of Management & Organization ( email )

Box 353200
Seattle, WA 98195-3200
United States

Andrew B. Whinston

University of Texas at Austin - Department of Information, Risk and Operations Management ( email )

CBA 5.202
Austin, TX 78712
United States
512-471-8879 (Phone)

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