Success factors for information technology supported international technology transfer: Finding expert consensus

Abstract

Information technology (IT)-supported international technology transfer (ITT) is complex, risky, and fails often. No empirical studies are available on the factors that affect the success of IT-supported ITT. We review applicable theories (i.e. diffusion of innovation theory) and empirical research in conventional technology transfer to develop such a model. We carry out a multiple focus group method to rank factors that affect the success of IT-supported ITT and then apply a branch and bound method to derive a consensus ranking of these factors. The identified consensus ranking sheds light on factors that are similar to those of DOI theory and suggests a pattern of factors that affect IT-supported ITT.

Original language	English
Pages (from-to)	663-677
Number of pages	15
Journal	Information and Management
Volume	43
Issue number	5
DOIs	https://doi.org/10.1016/j.im.2005.02.002
Publication status	Published - Jul 2006

Keywords

Consensus ranking
Diffusion of innovation
International technology transfer
IT implementation
IT support
Success factors

ASJC Scopus subject areas

Management Information Systems
Information Systems
Information Systems and Management

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10.1016/j.im.2005.02.002

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title = "Success factors for information technology supported international technology transfer: Finding expert consensus",

abstract = "Information technology (IT)-supported international technology transfer (ITT) is complex, risky, and fails often. No empirical studies are available on the factors that affect the success of IT-supported ITT. We review applicable theories (i.e. diffusion of innovation theory) and empirical research in conventional technology transfer to develop such a model. We carry out a multiple focus group method to rank factors that affect the success of IT-supported ITT and then apply a branch and bound method to derive a consensus ranking of these factors. The identified consensus ranking sheds light on factors that are similar to those of DOI theory and suggests a pattern of factors that affect IT-supported ITT.",

keywords = "Consensus ranking, Diffusion of innovation, International technology transfer, IT implementation, IT support, Success factors",

author = "Nazmun Nahar and Kalle Lyytinen and Najmul Huda and Muravyov, {Sergey V.}",

year = "2006",

month = jul,

doi = "10.1016/j.im.2005.02.002",

language = "English",

volume = "43",

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journal = "Information and Management",

issn = "0378-7206",

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TY - JOUR

T1 - Success factors for information technology supported international technology transfer

T2 - Finding expert consensus

AU - Nahar, Nazmun

AU - Lyytinen, Kalle

AU - Huda, Najmul

AU - Muravyov, Sergey V.

PY - 2006/7

Y1 - 2006/7

N2 - Information technology (IT)-supported international technology transfer (ITT) is complex, risky, and fails often. No empirical studies are available on the factors that affect the success of IT-supported ITT. We review applicable theories (i.e. diffusion of innovation theory) and empirical research in conventional technology transfer to develop such a model. We carry out a multiple focus group method to rank factors that affect the success of IT-supported ITT and then apply a branch and bound method to derive a consensus ranking of these factors. The identified consensus ranking sheds light on factors that are similar to those of DOI theory and suggests a pattern of factors that affect IT-supported ITT.

AB - Information technology (IT)-supported international technology transfer (ITT) is complex, risky, and fails often. No empirical studies are available on the factors that affect the success of IT-supported ITT. We review applicable theories (i.e. diffusion of innovation theory) and empirical research in conventional technology transfer to develop such a model. We carry out a multiple focus group method to rank factors that affect the success of IT-supported ITT and then apply a branch and bound method to derive a consensus ranking of these factors. The identified consensus ranking sheds light on factors that are similar to those of DOI theory and suggests a pattern of factors that affect IT-supported ITT.

KW - Consensus ranking

KW - Diffusion of innovation

KW - International technology transfer

KW - IT implementation

KW - IT support

KW - Success factors

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