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Analysis of performance measures in cloud-based ubiquitous SaaS CRM project systems

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Abstract

Customer relationship management (CRM) traditionally uses software as a service (SaaS) technology in ubiquitous cloud computing SaaS CRM solutions. In this study, the opinions of experts and of three case companies in Internet application fields were studied. In cloud CRM projects, DEMATEL-based analytical network processes and the VIKOR technique are multi-criteria decision-making analysis tools that do not require prior assumptions to explore the weights and performances among project risk, project management, and organizational performance, based on the research framework of the Stimulus–Organism–Response model. The empirical results showed that the greatest criterion of relative weight is primarily associated with the risk dimension, representing experts’ evaluations of project risk. Furthermore, cloud CRM experts and companies revealed that financial performance should be improved during the course of a project. The findings of this study provide a valuable reference for cloud CRM Internet service solutions.

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Acknowledgements

The authors declare that there is no conflict of interests regarding the publication of this paper.

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Authors and Affiliations

  1. Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan

    You-Shyang Chen

  2. Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan

    Chienwen Wu

  3. College of Management, National Taipei University of Technology, Taipei, Taiwan

    Heng-Hsing Chu

  4. Department of Information Management, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan

    Chien-Ku Lin & Huan-Ming Chuang

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  1. You-Shyang Chen
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  2. Chienwen Wu
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Correspondence to Chien-Ku Lin.

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Chen, YS., Wu, C., Chu, HH. et al. Analysis of performance measures in cloud-based ubiquitous SaaS CRM project systems. J Supercomput 74, 1132–1156 (2018). https://doi.org/10.1007/s11227-017-1978-x

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