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Author Youssef, Adel Ben ♦ Hadhri, Walid ♦ Meharzi, Téja
Source Hyper Articles en Ligne (HAL)
Content type Text
Publisher Eska
File Format PDF
Language English
Subject Keyword Technology Adoption ♦ IPRs ♦ ProbitModel ♦ Absorptive Capacity ♦ Tunisia ♦ Innovation ♦ Heckman selection method ♦ Cloud Computing ♦ Information and Communication Technologies ♦ shs ♦ Humanities and Social Sciences/Economies and finances
Abstract This paper aims at developing a theoretical framework that explains the decision of cloud computing (CC) adoption in Emergent Countries. It emphasizes the specific role of the technological absorptive capacity especially when the firm is seeking innovation by adopting CC. The absorptive capacity considered in this work is close to the work of Todorova and Durisin (2007) who proposed a framework linking both the contributions of Cohen and Levinthal (1989) and Zahra and Georges (2002).To test our theoretical claims, we estimated two models predicting the probability of adopting CC and adopting CC for innovative aims with (1) competitive pressure and external environment, (2) Technology perceived impacts, and (3) technological absorptive capacity of the firm. We use control variables such as size, sector of activity and seniority in order to control the general purposes of our claims. We use a bivariate probit model in order to understand the determinants of the decision of adoption and an ordered probit with sample selection in order to understand the determinant of adoption of CC for innovative aims. Based on a face-to-face questionnaire administered to a random sample of 350 Tunisian firms, and using a Heckman selection method. Our empirical findings confirm our theoretical claims and show that technology perception is key factor for CC adoption (for general purposes) and that the absorptive capacity is fundamental when the adoption of CC is for innovation goals.We found also that competition pressureis an important explanatory factor:the more competitors that adopt this technology, the more likely the firm adopt it.
ISSN 12604984
Educational Use Research
Learning Resource Type Article
Publisher Date 2015-12-15
e-ISSN 22717188
Journal Systèmes d'Information et Management
Volume Number 20
Issue Number 4