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Presenting Cloud Business Performance for Manufacturing Organizations

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  • Victor Chang

    (Xi’an Jiaotong-Liverpool University)

Abstract

This paper presents a new concept, Cloud Business Performance (CBP) and describes the method of measurement, data analysis, impacts to manufacturing and case studies about CPB. Three methods can be used for CBP with two case studies illustrated. The first case study presents a small and medium manufacturing enterprise that has adopted backup services for all manufacturing transactions and records. The second case study shows a software manufacturing organization’s forecasting on their business performance and risk. Methods used, results and analysis have been fully justifiable to support the case of CBP for manufacturing organizations. We demonstrate that the use of CBP calculation and prediction analysis is useful for manufacturing organizations that adopt Cloud Computing.

Suggested Citation

  • Victor Chang, 2020. "Presenting Cloud Business Performance for Manufacturing Organizations," Information Systems Frontiers, Springer, vol. 22(1), pages 59-75, February.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:1:d:10.1007_s10796-017-9798-3
    DOI: 10.1007/s10796-017-9798-3
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    5. Yue, Guo & Tailai, Guo & Dan, Wei, 2021. "Multi-layered coding-based study on optimization algorithms for automobile production logistics scheduling," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Paiola, Marco & Schiavone, Francesco & Khvatova, Tatiana & Grandinetti, Roberto, 2021. "Prior knowledge, industry 4.0 and digital servitization. An inductive framework," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

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