Abstract:

The full-text database of Chinese academic journals is an important tool for domestic scholars to obtain scientific research information. On the basis of empirical analysis, this paper studies the user value of fulltext database of Chinese academic journals. Through the “Means–end Chains” method and the ladder interview method, this paper constructs the hierarchical structure of the user value of the full text database of Chinese academic journals. On this basis, this paper identifies the core elements of the “attribute layer”, “the result layer” and the “value layer” respectively; and analyzes the complexity of the path of the user’s value generation; at the same time, summarizes the reason of the lack of user value of some attribute layer elements: the expected value can not be created, the existence of other alternative products and the promotion of ineffectiveness are the main reasons. The conclusion of this paper can be used as the basis for enhancing the core value of products and services in the full text of Chinese academic journals, and can be used to provide users with personalized service to further enhance the user value of Chinese academic journals.

Key words: Journal fulltext database; , Information user; , User value; , Meansend chains, Digital academic publishing