Antecedents and Optimal Industrial Customers on Cloud Services Adoption
學年 109
學期 2
出版(發表)日期 2021-07-01
作品名稱 Antecedents and Optimal Industrial Customers on Cloud Services Adoption
著者 Shui-Lien Chen; June-Hong Chen
著錄名稱、卷期、頁數 The Service Industries Journal 41(9-10)
摘要 The rapid flourishing of the cloud service market necessitates investigating the underlying determinants of cloud services adoption and identifying optimal industrial customers for business-to-business (B2B) service encounters. Many studies have addressed technical and operational concerns related to cloud services. However, only a few studies have addressed the adoption of cloud computing from an organizational perspective, and none of them have considered the practical application of cloud computing in society. Therefore, in this paper, a research model is constructed to understand an industrial organization’s acceptance of cloud services and apply the results in order to explore optimal industrial customers. A questionnaire-based survey was used to collect data from the population, 227 firms in the manufacturing and services industries in Taiwan. Causal relationships were tested through structural equation modeling and the ordering of optimal industrial customers was evaluated by using the Technique for Order of Preference by Similarity to Ideal Solution method.
關鍵字 Cloud services;technology acceptance theory;optimal industrial customer;structural equation modeling;technique for order performance by similarity to ideal solution
語言 en
期刊性質 國外
收錄於 SSCI Scopus
國別 GBR
出版型式 ,電子版

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