The Long-Term Irrelevance of Trust in Outsourcing Decisions for New Technologies: Insights from an Agent-Based Model


Autoria(s): Perrons, Robert K.
Data(s)

2005

Resumo

Significant empirical data from the fields of management and business strategy suggest that it is a good idea for a company to make in-house the components and processes underpinning a new technology. Other evidence suggests exactly the opposite, saying that firms would be better off buying components and processes from outside suppliers. One possible explanation for this lack of convergence is that earlier research in this area has overlooked two important aspects of the problem: reputation and trust. To gain insight into how these variables may impact make-buy decisions throughout the innovation process, the Sporas algorithm for measuring reputation was added to an existing agent-based model of how firms interact with each other throughout the development of new technologies. The model�s results suggest that reputation and trust do not play a significant role in the long-term fortunes of an individual firm as it contends with technological change in the marketplace. Accordingly, this model serves as a cue for management researchers to investigate more thoroughly the temporal limitations and contingencies that determine how the trust between firms may affect the R&D process.

Identificador

http://eprints.qut.edu.au/46475/

Publicador

ISLI Bordeaux Business School

Relação

http://www.supplychain-forum.com/article.cfm?num=11&art=95

Perrons, Robert K. (2005) The Long-Term Irrelevance of Trust in Outsourcing Decisions for New Technologies: Insights from an Agent-Based Model. Supply Chain Forum: an International Journal, 6(11), pp. 30-37.

Direitos

Bordeaux Business School

Copyright© 2005 Bordeaux Business School

Fonte

QUT Business School; School of Management

Palavras-Chave #150300 BUSINESS AND MANAGEMENT #Agent-Based Model #Make or Buy Decision #R&D process #Reputation #Sporas #Technology Outsourcing #Trust
Tipo

Journal Article