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Wolverhampton Intellectual Repository and E-Theses > Business School > Management Research Centre  > Organizational learning in high-technology purchase situations: The antecedents and consequences of the participation of external IT consultants

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/15825
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Title: Organizational learning in high-technology purchase situations: The antecedents and consequences of the participation of external IT consultants
Authors: Dawes, Philip L.
Lee, Don
Midgley, David
Citation: Industrial Marketing Management, 36(3): 285-299
Publisher: Elsevier
Issue Date: 2007
URI: http://hdl.handle.net/2436/15825
DOI: 10.1016/j.indmarman.2005.06.009
Additional Links: http://dx.doi.org/10.1016/j.indmarman.2005.06.009
http://www.elsevier.com/wps/find/journaldescription.cws_home/505720/description#description
Abstract: Typically, research on organizational learning has been conceptual in nature. In a departure from this tradition, we develop and test a structural model of organizational learning in the context of the purchasing of an expensive and complex product in the information technology (IT) area. The key focus of our research is the participation of external IT consultants and our model links seven explanatory constructs that are consistent with the process school of thought in organizational learning. More specifically, two organizational variables–formalization, strategic importance–and two individual-level variables–stakeholding, prior experience–are viewed as antecedents of consultant participation. In contrast, we view internal search effort, external search effort, and organizational learning as consequences of consultant participation. As predicted, all four antecedent variables affected consultant participation. Moreover, we found that, while consultant participation had a positive impact on internal search effort and organizational learning, its impact on external information search effort was negative.
Type: Article
Language: en
Description: Metadata only
Keywords: Consultants
Organisational learning
Structural modelling
Syntactic information search
Information technology
ISSN: 0019-8501
Appears in Collections: Management Research Centre

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