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Modelling international technology transfer process: Evidence from Libyan information and communication industry


Article Information

Title: Modelling international technology transfer process: Evidence from Libyan information and communication industry

Authors: Ali Hassan, Md. Yusoff Jamaluddin

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 7

Language: English

Keywords: FactorsTechnology transferModelSMELibyan ICT industry

Categories

Abstract

This study suggests a model that describes the TT process of importing the foreign advanced technology by information and communication technology companies (ICT) and related SME’s projects in Libya. The past relevant technology transfer models are reviewed in order to investigate and sort out the most influential international TT factors. These factors are believed to influence the transfer process effectiveness. The suggested model was based on a thorough literature review on a TT studies and the variables which extracted and modified from the past investigated models are classified as factors and sub-factors in a conceptual ICT industry context. These factors defined as TT government support initiatives, transferor characteristics, transferee characteristics, TT environment, learning centres and their respective sub-factors (variables) and outcome factor TT achievements. A questionnaire that conducted recently in the TT process in the Libyan ICT industry was utilized to verify the model. Major statistical techniques are applied to analyze the questionnaire data. These approaches included descriptive statistic and inferential statistics. The model factors and sub-factors are reformed by utilizing exploratory factor analysis (EFA). In addition, the significance of direct and indirect interrelationships between model factors was determined through confirmatory factor analysis (CFA).


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