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Inter-firm relational resources in cloud service adoption and their effect on service innovation

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  • Cindy Yunhsin Chou
  • Ja-Shen Chen
  • Yu-Ping Liu

Abstract

This study examines (1) inter-firm relational resources for cloud service adoption and (2) their effects on service innovation. A research model and the related hypotheses are developed based on resource-advantage (R-A) theory that combines inter-firm relational resources identified in theoretical and empirical research as important antecedents of cloud service adoption and its effect on service innovation. This study collects data from 165 managers from service firms in Taiwan. The results show that resources, including reliability, cost, and compatibility significantly affect a firm’s cloud service adoption. Furthermore, the adoption of cloud service significantly contributes to service innovation. The findings add to the current understanding of service innovation in two important ways. First, drawing on R-A theory, this study is among the first attempts to identify inter-firm relational resources (reliability, cost, compatibility, and customer orientation) for cloud service adoption and their effect on innovation performance. Second, this study introduces cloud services as effective technological platforms for a firm and its business partners to share, integrate, and reciprocate information, knowledge, and experience for service innovation.

Suggested Citation

  • Cindy Yunhsin Chou & Ja-Shen Chen & Yu-Ping Liu, 2017. "Inter-firm relational resources in cloud service adoption and their effect on service innovation," The Service Industries Journal, Taylor & Francis Journals, vol. 37(3-4), pages 256-276, March.
    • Handle: RePEc:taf:servic:v:37:y:2017:i:3-4:p:256-276
    DOI: 10.1080/02642069.2017.1311869
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    Cited by:

    1. Zhou, Dan & Kautonen, Mika & Dai, Weiqi & Zhang, Hui, 2021. "Exploring how digitalization influences incumbents in financial services: The role of entrepreneurial orientation, firm assets, and organizational legitimacy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Aarthi Raghavan & Mehmet Akif Demircioglu & Araz Taeihagh, 2021. "Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore," IJERPH, MDPI, vol. 18(1), pages 1-30, January.
    3. Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Ashraf Alyanbaawi & Abdurrahman Salihu Abubakar & Mohammed Magdy Hamed, 2022. "Exploring the Cloud Computing Implementation Drivers for Sustainable Construction Projects—A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(22), pages 1-31, November.

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