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    题名: Antecedents and Optimal Industrial Customers on Cloud Services Adoption
    作者: Shui-Lien Chen;June-Hong Chen
    关键词: Cloud services;technology acceptance theory;optimal industrial customer;structural equation modeling;technique for order performance by similarity to ideal solution
    日期: 2018-02-16
    上传时间: 2018-04-12 12:10:43 (UTC+8)
    出版者: Taylor & Francis
    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.
    關聯: Service Industries Journal
    DOI: 10.1080/02642069.2018.1437907
    显示于类别:[管理科學學系暨研究所] 期刊論文

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