Abstract.Adoption of Information Technology (IT) in organizations is influenced by a range of factors in the context of technology, organization, environment and individuals. Amongst others, the IT literature has identified several organizational factors that either facilitates or hinders innovation adoption in organizations. Studies examining the factors influencing IT adoption have produced inconsistent and contradictory outcomes. We performed a meta-analysis of ten organizational factors to determine the relative impact and the strength of these attributes on IT adoption. The study aggregated the findings of past research to evaluate the magnitude and the direction of the relationship between organizational factors and IT innovation adoption. Results showed organizational readiness to be the most significant attribute. We also found a moderately significant relationship between IT adoption and Information Systems (IS) department size. The study found weak significance with IS infrastructure, top management support, IT expertise, resources and organizational size. Formalization, centralization and product champion were found to be insignificant attributes for IT adoption. The study also examined stage of innovation, type of innovation, type of organization and size of organization as four moderator conditions that affect the relationship between organizational variables and IT adoption.
This paper presents the findings of a meta-analysis of innovation characteristics that influence the adoption of information technology (IT) in organisations. Past studies that examine the determinants of IT innovation adoption have produced inconsistent and contradictory results and deducing a definitive set of attributes for innovation adoption has become impractical. The study has aggregated findings of past research on IT adoption using meta-analysis to identify key factors in terms of innovation or technology that influences adoption of IT in organisation. Six innovation characteristics most commonly examined by researchers have been analysed. The results of this meta-analysis confirm that relative advantage, compatibility, cost, observability and trialability are strong determinants of IT innovation adoption. However, the study found no association between complexity and IT innovation adoption. The effect of stage of innovation, type of innovation, type of organisation and size of organisation as four moderating conditions has also been examined.
Information system (IS) security threats are still a major concern for many organizations. However, most organizations fall short in achieving a successful adoption and implementation of IS security measures. In this chapter, the authors developed a theoretical model for the adoption process of IS security innovations in organizations. The model was derived by combining four theoretical models of innovation adoption, namely diffusion of innovation theory (DOI), the technology acceptance model (TAM), the theory of planned behavior (TPB), and the technology-organisation-environment (TOE) framework. The model depicts IS security innovation adoption in organizations, as two decision proceedings. The adoption process from the initiation stage until the acquisition of innovation is considered as a decision made by organisation while the process of innovation assimilation is assumed as a result of the user acceptance of innovation within the organization.
Information System literature has identified several factors that impact the adoption and implementation of IT. This study presents a meta-analysis of the findings of past literature on IT adoption to verify the significance of competitive pressure, government support, external pressure, CEO attitude, manager's tenure, CEO innovativeness and CEO IT knowledge in the adoption of IT in organizations. The study found that except for manager's tenure, all attributes had considerable influence on the adoption of IT. Amongst the factors considered, external pressure or the demands from the trading partners and potential customers were found to be most influential in the adoption process. The study also examined the effect of two moderating conditions for the relationship between the attributes and IT adoption.
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