DocumentCode :
1092019
Title :
Beyond the black box: knowledge overlaps in software outsourcing
Author :
Tiwana, Amrit
Author_Institution :
Goizueta Bus. Sch., Emory Univ., USA
Volume :
21
Issue :
5
fYear :
2004
Firstpage :
51
Lastpage :
58
Abstract :
The black-box approach - that is, the use of formal project requirements to transfer knowledge about the application problem domain from the client to the vendor organization - has long been the mainstay of outsourced software development. We´ve studied 209 custom application development projects in 209 global software development organizations. We used the study results to develop detailed guidelines for improving outsourcing practice and a client-vendor knowledge congruence assessment framework. The study´s key finding is that effective outsourcing requires knowledge congruence - that is, a good fit in terms of business and technical knowledge across the client-vendor dyad. This uniquely extends the notion of the product/process fit from the manufacturing management arena into the more knowledge-driven domain of software engineering.
Keywords :
knowledge management; organisational aspects; outsourcing; software development management; application problem domain; black-box approach; client-vendor knowledge congruence assessment; formal project requirement; knowledge-driven domain; manufacturing management arena; software engineering; software outsourcing; Application software; Outsourcing; Pattern matching; Programming; Software engineering; Software maintenance; Software tools; 010; 05; 210; 4; 415; 416; 460; 5; 51; 65; Beyond the Black Box: Knowledge Overlaps in Software Outsourcing; Emory University; Journal paper; The well-known black-box model of software development outsourcing is typically effective. The approach assumes that the vendor can successfully solve a client organization´s business problem without either organization having to deeply understand the other’s domain. This article reports on a field study of 20; Tiwana, A.; black-box development; congruence framework; knowledge management; outsourcing; software development; software project risk;
fLanguage :
English
Journal_Title :
Software, IEEE
Publisher :
ieee
ISSN :
0740-7459
Type :
jour
DOI :
10.1109/MS.2004.1331302
Filename :
1331302
Link To Document :
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