| Against the backdrop of the booming Internet of Things,the home appliance market’s demand for product performance and services is increasing day by day.The traditional home appliance industry is facing great challenges,while the rise of information technology has brought new opportunities for the home appliance industry.Based on this situation,many of China’s old home appliance companies are actively striving for change in the era of networking.In addition to the intensified competition in the same industry,the changing market demand has caused a profound contradiction between the speed of enterprise innovation and meeting user needs,which have accelerated the profound changes in the business model of enterprises.Therefore,it has become a new challenge for enterprises to evaluate the effectiveness of their performance according to the changes in their business models.The shortcomings of traditional evaluation system indicators and the difficulty of truly reflecting enterprise value make it inevitable to establish a new evaluation system based on business model system.Based on this,this paper takes Haier Zhijia as the research object,applies value creation theory,synergy effect theory and enterprise performance evaluation theory,and uses case study method to analyze the enterprise data in the past ten years.The results found that it is difficult to truly reflect the enterprise value according to the current performance evaluation system.Therefore,based on the traditional financial evaluation indexes,this paper innovatively adds ecological capability analysis indexes and conducts enterprise value analysis by studying enterprise R&D capability and patent technology in the ecological chain layout and enterprise cash quality,etc.,and concludes that Haier’s enterprise performance effect is effectively improved under the value co-creation model.It is recommended that ecosystem companies that are constantly increasing their R&D investment in search of expansion should focus on cost management to maintain their corporate performance at the optimal level. |