Decision-Making Framework of Supply Chain Service Innovation Based on Big Data

Abstract

Information and communication technologies related to big data have been widely used in various fields. Global well-known enterprises obtain various structured data through big data platforms and quickly find methods to increase profits in data information. Big data and related technologies are mainly used in business value-added, such as accelerating product and service innovation; Optimize and improve the production process by cooperating with the Internet of things (IoT); Improve the level of product quality management; Promote the transformation of the industry to smart service. In the past, innovation mainly occurred within the enterprise. Still, the open and networked innovation makes it possible for products to interact with users before quantitative production how to develop and meet customers' needs, which operation mode to choose, and which decision-making mechanism to adopt are particularly prominent. Based on those mentioned above, this paper briefly described the channel service innovation and its influencing factors under the application of big data and proposed a decisionmaking framework.