Abstract

Ocean big data trading is a new business model. In the progress of ocean big data trading, the cost risks faced by big data suppliers and trading platforms are widespread, so the government needs to participate and set up corresponding subsidy policies to provide protection for ocean big data providers and trading platforms. Based on the supply chain perspective, a Stackelberg game model of a two-level supply chain including the ocean big data provider and the trading platform is constructed under the supply chain mode, namely buyout mode. Two government subsidy strategies, namely data quality input cost subsidy and value-added service cost subsidy, are designed. The subsidy effects of diverse subsidy strategies under the supply chain mode are discussed, and the impact of government subsidy ratio on supply chain decision-making equilibrium solution is discussed, and the simulation analysis is carried out by using MATLAB application software. The results show that: Firstly, under the two supply chain modes, the data quality input cost subsidy strategy has a positive impact on the quality of ocean big data, value-added service level, product price, market demand, supplier profit and platform profit. Next, under the buyout mode, if we want to enhance the ocean big data products' quality and expand market demand, the government should subsidize the data quality input cost for ocean big data providers. If we want to improve the value-added service level of the ocean big data trading platform, the government's best subsidy strategy is to subsidize the trading platform's value-added service cost. What's more, under the price-drawing mode, the government's subsidy for data quality input cost to ocean big data providers is the best subsidy strategy to improve the quality and market demand of ocean big data, and the subsidy for value-added service cost to ocean big data trading platform is the best subsidy strategy to improve the value-added service level of ocean big data.

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