The Importance of Data Assets and Its Accounting Confirmation and Measurement Methods The data assets that are not measured by enterprises are very important for both enterprises themselves and financial statements. This paper promotes the study of data capitalization. This paper gives a clear definition of data assets that data assets are data collection that been collected actively or passively by the enterprise. It can return profit to enterprise after processing. Data assets should not be simply regarded as one of intangible assets based on its characteristics. This paper creates one value model of data assets and analyzes the measurement of data asset that the initial measurement of data assets shall be based on the historical cost method, the subsequent measurement shall be measured by the lower number between fair value and historical cost or between the fair value and the current value. The author holds that data capitalization will have a bright future.

Social media capital: Conceptualizing the nature, acquisition, and expenditure of social mediabased organizational resources Abstract   The nearuniversal organizational participation in social media is predicated on the belief there are some tangible or intangible new resources to be had through tweeting, pinning, posting, friending, and sharing. We argue the linchpin of any payoff from engagement in social media is a special form of social capital we refer to as social media capital, and offer a conceptual framework for understanding its nature, acquisition, and expenditure. This paper contributes to existing literature by elaborating a new type of organizational resource and then synthesizing and extending research on the processes through which organizations can translate social media efforts into meaningful organizational outcomes. Understanding this causal chain is critical not only for measuring the return on investment from social media use but also for developing accounting information systems that are both adaptable to social resources and better able to exploit the data analytic and forecasting capabilities of realtime social media data.