DocumentCode :
1246416
Title :
Organizational visions for technology assimilation: the strategic roads to knowledge-based systems success
Author :
Martinsons, Maris G. ; Schindler, Frederick R.
Author_Institution :
Dept. of Bus. Manage., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
42
Issue :
1
fYear :
1995
fDate :
2/1/1995 12:00:00 AM
Firstpage :
9
Lastpage :
18
Abstract :
Despite the dramatically increased application of knowledge-based systems (KBS) technology, most of the enormous potential to leverage expert knowledge remains unrealized. The vast majority of KBS initiatives in industry and commerce have ended with unsatisfactory results. These failures can be primarily attributed to strategic mismanagement rather than technological shortcomings. Inspirational leadership and a needs-driven organizational vision are crucial for the effective assimilation of a new or emerging technology. KBS are no exception. A roads metaphor is identified as a basis for crafting and communicating such an organizational vision. Three alternative approaches for achieving a strategic impact with a technology are identified and described: the user-driven low road; the technostructure-driven high road; and the team-based road network. The relative merits of these strategic roads, and their suitability to different organizational and knowledge structures are considered using a case-based methodology. Based on their research of the KBS technology assimilation processes at DuPont, Digital Equipment, and Xerox, the authors offer management advice to practitioners and recommend future areas for study
Keywords :
knowledge based systems; research and development management; software development management; case-based methodology; emerging technology; expert knowledge; knowledge-based systems; leadership; management; organization; recommendations; strategic impact; team-based; technology assimilation; technostructure-driven; user-driven; Application software; Artificial intelligence; Business; Expert systems; Humans; Job shop scheduling; Knowledge based systems; Problem-solving; Roads; Technology management;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/17.366399
Filename :
366399
Link To Document :
بازگشت