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This research book empirically investigated the influence of cloud computing service adoption on supply chain performance of retail petroleum marketing firms in Rivers State, Nigeria. There exist insufficient scholarly inquiries on cloud computing service adoption and supply chain performance in the retail petroleum marketing firms in Rivers State, and this informs the research interest in this regard, and led to the research problem of this study: The study reported that, cloud computing service adoption significantly influence supply chain performance of retail petroleum marketing firms in…mehr

Produktbeschreibung
This research book empirically investigated the influence of cloud computing service adoption on supply chain performance of retail petroleum marketing firms in Rivers State, Nigeria. There exist insufficient scholarly inquiries on cloud computing service adoption and supply chain performance in the retail petroleum marketing firms in Rivers State, and this informs the research interest in this regard, and led to the research problem of this study: The study reported that, cloud computing service adoption significantly influence supply chain performance of retail petroleum marketing firms in Rivers State of Nigeria. This formal inquiry into cloud computing service adoption and supply chain performance inspired some contributions to knowledge, since the study scientifically studied cloud computing service adoption and supply chain performance phenomenon, developing a model completely new and different from what has been known before, comprising the dimensions of cloud computing service adoption. This was designed and anchored on retail petroleum marketing firms as the unit of analysis, and synthesize them into a single generic idea.
Autorenporträt
Dr. Mac-Kingsley Ikegwuru, is a Senior Lecturer in the Department of Marketing, Rivers State University, Port Harcourt, Nigeria. He is the Consulting Director of Best Value Crest Educational Services. His areas of specialization include: Digital Supply Chain Management and Intelligent Logistics.