TY - JOUR
T1 - Assessing the sustainability of cloud computing service providers for Industry 4.0: a state-of-the-art analytical approach
AU - Azadi, Majid
AU - Moghaddas, Zohreh
AU - Cheng, T. C.E.
AU - Saen, Reza Farzipoor
PY - 2023
Y1 - 2023
N2 - While interests in Industry 4.0 technologies such as cloud computing and the Internet of Things (IoT) are growing, an ongoing challenge is to properly evaluate the performance of the providers of such technologies. Methods have been developed and applied to assess the efficiency of cloud service providers (CSPs) for Industry 4.0. However, most existing methods suffer from such shortcomings as subjective weights and computing complexity, rendering it difficult to succinctly differentiate the performance of CSPs in a competitive market. Besides, the literature has not taken into account many different types of data such as ratios, integers, and undesirable factors that can affect the performance of CSPs. Most importantly, most existing studies do not consider the sustainability of CSPs in evaluating their performance. To address the above issues, we present a comprehensive analytical method based on data envelopment analysis (DEA) to gauge the sustainability of CSPs for Industry 4.0. Validating the usefulness of our method using a real-life dataset, we provide not only a viable means with sound academic underpinning but also significant managerial insights for practitioners to assess the sustainability of CSPs for Industry 4.0.
AB - While interests in Industry 4.0 technologies such as cloud computing and the Internet of Things (IoT) are growing, an ongoing challenge is to properly evaluate the performance of the providers of such technologies. Methods have been developed and applied to assess the efficiency of cloud service providers (CSPs) for Industry 4.0. However, most existing methods suffer from such shortcomings as subjective weights and computing complexity, rendering it difficult to succinctly differentiate the performance of CSPs in a competitive market. Besides, the literature has not taken into account many different types of data such as ratios, integers, and undesirable factors that can affect the performance of CSPs. Most importantly, most existing studies do not consider the sustainability of CSPs in evaluating their performance. To address the above issues, we present a comprehensive analytical method based on data envelopment analysis (DEA) to gauge the sustainability of CSPs for Industry 4.0. Validating the usefulness of our method using a real-life dataset, we provide not only a viable means with sound academic underpinning but also significant managerial insights for practitioners to assess the sustainability of CSPs for Industry 4.0.
KW - cloud computing
KW - cloud service provider (CSP)
KW - data envelopment analysis (DEA)
KW - Industry 4.0
KW - integer data
KW - quasi-fixed inputs
UR - http://tandfonline.com/doi/full/10.1080/00207543.2021.1959666
UR - http://www.scopus.com/inward/record.url?scp=85112607698&partnerID=8YFLogxK
U2 - 10.1080/00207543.2021.1959666
DO - 10.1080/00207543.2021.1959666
M3 - Article
AN - SCOPUS:85112607698
SN - 0020-7543
VL - 61
SP - 4196
EP - 4213
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 12
ER -