Chuanrong Wu1,*, Huayi Yin1, Xiaoming Yang2, Zhi Lu3, Mark E. McMurtrey4
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1173-1184, 2020, DOI:10.32604/iasc.2020.014961
Abstract Nowadays big data knowledge is being bought and sold online for market research, new product development, or other business decisions, especially
when customer demands and consumer preferences knowledge for new product
development are needed. Previous studies have introduced two commonly used
pricing schemes for big data knowledge transactions (e.g., cloud services): Subscription pricing and pay-per-use pricing from a big data knowledge provider’s
standpoint. However, few studies to date have investigated a two-part tariff pricing scheme for big data knowledge transactions, albeit this pricing scheme
may increasingly attract the big data knowledge providers in this hyper-competitive
market. Also, little research has… More >
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