Journal of Enterprise and Business Intelligence


Analyzing Factors Influencing Technology Transfer Success in the IT Sector Using Jollys Subprocess Framework



Journal of Enterprise and Business Intelligence

Received On : 02 February 2024

Revised On : 22 March 2024

Accepted On : 02 April 2024

Published On : 05 July 2024

Volume 04, Issue 03

Pages : 156-165


Abstract


Technology Transfer (TT) is the movement of technology, know-how and skills from one organization to the other so as to facilitate developing new technologies that would be commercializable. In information technology particularly, TT constitutes a critical impact to competitiveness and growth. In this paper, we establish factors affecting TT projects’ success based on a survey of 135 project managers of 277 TT projects. To measure different influencing factors, a 5-point Likert scale is used whereas the success of project is measured by Jolly’s subprocess model. The findings showed that the “Channels of Communication” were the largest predictor in the level of TT effectiveness, followed by the “Management Support,” and “Technology Concreteness.” However, the factors such as ‘Sense of Common Purpose’ and ‘TT Awareness’ which were considered as less important by the respondents also proved significant on the statistical level. 52.59% of TT initiatives transitioned to commercialization while the rest were either stunted at other stages or completely dead. This study stresses the need for communication, management support, and specific attention to the issues of organizational awareness and cooperation in order to achieve effective technology transfer.


Keywords


Knowledge, Information Revolution, Technology Transfer, Knowledge-Intensive Industries, Industry 4.0 Technology Transfer Relation.


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Cite this article


Cheng Chen, “Analyzing Factors Influencing Technology Transfer Success in the IT Sector Using Jollys Subprocess Framework”, Journal of Enterprise and Business Intelligence, vol.4, no.3, pp. 156-165, July 2024. doi: 10.53759/5181/JEBI202404016.


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© 2024 Cheng Chen. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.