Success factors for information technology supported international technology transfer: Finding expert consensus / N. Nahar, K. Lyytinen, N. Huda, S. V. Muravyov (Murav’ev)

Уровень набора: Information & ManagementАльтернативный автор-лицо: Nahar, N., Nazmun;Lyytinen, K., Kalle;Huda, N., Najmul;Muravyov (Murav’ev), S. V., specialist in the field of control and measurement equipment, Professor of Tomsk Polytechnic University,Doctor of technical sciences, 1954-, Sergey VasilyevichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра компьютерных измерительных систем и метрологии (КИСМ)Язык: английский.Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: 43 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | success factors | IT support | IT implementation | international technology transfer | diffusion of innovation | consensus ranking Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 43 tit.]

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.

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