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Exploring the Context with Factors of Cloud Computing to Digital Transformation and Innovation

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Knowledge Management in Organisations (KMO 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1825))

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Abstract

As Cloud computing has been considered as key pillar of the digital transformation technology ecosystem recently, this study aims to explore the factor of cloud computing to digital innovation as well as the relationships among them. A hybrid approach combining with content analysis and formal conceptual analysis was used to explore the relevant factors and context of 174 use cases which including cloud natives and startups, the research design supports the researchers on how to come across the research findings. The results indicate that relative advantages, financial costs, ease of use, security and privacy, and supplier computing support are significant in cloud computing on digital innovation, especially in startups. The context of cloud computing with our proposed research model and approach provides objective findings with evidence to demonstrate the critical position of cloud computing to digital transformation and provide managerial implications for both of academical and practical.

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Authors and Affiliations

  1. Department of Business Administration, Feng Chia University, Taichung, 40724, Taiwan

    Ju-Chuan Wu & Shu-Mei Lee

  2. Department of Marketing and Logistic Management, National Penghu University of Science and Technology, Magong, Taiwan

    Chih-Jou Chen

Authors
  1. Ju-Chuan Wu
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  2. Shu-Mei Lee
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  3. Chih-Jou Chen
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Correspondence to Ju-Chuan Wu .

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Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, UK

    Lorna Uden

  2. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

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Wu, JC., Lee, SM., Chen, CJ. (2023). Exploring the Context with Factors of Cloud Computing to Digital Transformation and Innovation. In: Uden, L., Ting, IH. (eds) Knowledge Management in Organisations. KMO 2023. Communications in Computer and Information Science, vol 1825. Springer, Cham. https://doi.org/10.1007/978-3-031-34045-1_11

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  • DOI: https://doi.org/10.1007/978-3-031-34045-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34044-4

  • Online ISBN: 978-3-031-34045-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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