In the Big Data environment, when green manufacturers invest in the green production technology, to satisfy consumer demand timely and accurately, they may begin to gain consumer performance information (hereafter, CBDI) to design and produce product. However, these will go up their extra costs. Meanwhile, for a green manufacturer who sells the green product through the online channel and the offline channel, the expression of its market demand needs to rethink in the new environment. In these conditions, for a dual-channel green supply chain (hereafter, DGSC), chain members pay more attention on the pricing problems considering the inputs of CBDI and greening R&D. Hence, to resolve this question, a DGSC a green manufacturer selling by the online channel and with one retailer selling by the offline channel was chosen. Afterwards, the demand function of the DGSC was revised, and we analyzed the profits models and its pricing rules in the proposed four common cost-sharing models. Results indicate that whether the retailer bears the CBDI costs or the greening R&D costs, the retailer will not change its retail price. If the retailer can bear some CBDI costs, the alteration tendencies of the best wholesale price are related to the cost-sharing parameter.Keywords: Big Data information; dual-channel green supply chain; pricing rules; green degree However, with the development of Internet and mobile Internet, e-commerce changes more vigorous and brings the shopping model changes of consumers. In other words, more and more persons begin to shop through online channel. Thus, many enterprises (Dell, IBM, Nike and so on) began to build their online channel (Rahmani & Yavari, 2018). For green manufacturers, many of them have also adopted the online channel and the traditional channel to sell goods. This form is known as a dual-channel green supply chain (DGSC). In fact, the online channel could assist companies to reduce costs and gain new consumers (Chen, Zhang, & Sun, 2012). Thus, adopting dual-channel models is a better option for companies.With the advent of Big Data, new opportunities have also come for enterprises. For instance, Big Data analysis technology (BDA technology) could assist enterprise to gain consumer performance information (CBDI) timely and accurately (Johanson et al., 2014). Carrying out Big Data plan can assist company to know their supply chain well, thereby, the performance of supply chain can be improved. Of course, gaining market completion advantages, obtaining more earnings and designing new product could also obtain by using Big Data (Jin et al., 2016). Therefore, many enterprises begin to use Big Data. However, for many manufacturers, they face more challenges in collecting and dealing with Big Data. An effective way is data outsourcing, hence, many Big Data information service companies begin to provide the Big Data information service. Based on our investigation, for a green manufacturer, the main information they bought from Big Data information Service Company is the CBDI. Gaining CBDI can a...