Understanding the Impact of Cloud Computing Service Adoption on Supply Chain Performance: An Empirical Study
Vol. 3 Issue 2
The field of technology takes a dynamic path and for organizations to survive in the highly dynamic, tempestuous and competitive business landscape, they must grasp technological innovations and flow with the pace of technological advancement. Cloud computing is an application delivered as a service through the internet and computing resources (hardware and software) in the data centers and furnishes on-demand access to these resources and services, supplied by service vendors to the ultimate user through pay-per-use services. A convenience sample of 55 companies taken from the fuel retail firms in Nigeria is used to test the study’s hypotheses. The data were gathered by questionnaire survey, obtaining a 95.3 percent response rate. The multiple regression statistics was used to test the hypotheses. The results suggest that cloud computing service adoption has a very strong, significant and positive influence on supply chain performance. The study concludes that the results of the quantitative analysis demonstrate that cloud computing service adoption programs adopted by fuel retail firms in Nigeria affect supply chain performance through software as a service, platform as a service and infrastructure as a service. The implication for managers is that they should focus on higher levels of cloud computing service adoption to endear superior supply chain performance. The study recommends amongst others that in order to enhance supply chain performance, management should adopt cloud computing services that are capable of stimulating positive supply chain performance that are favorable for the focal company Further research should be carried out to investigate this topical area by using samples from both firms and respondents of fuel retail firms to confirm the relationship found in this study. This is one of the first attempts to untwist the effects wield by cloud computing service adoption on supply chain performance of fuel retail firms under the lens of technology, organization and environment (TOE) model.
