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The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces.

This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries.

Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic.

The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry.

This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism.

Open innovation and information systems have been key topics in the theoretical domain, but little empirical research thoroughly examines how information technology (IT) capability affects open innovation performance. Thus, the purpose of this paper is to explore the relationship between IT capability and open innovation performance and to expose the inner mechanism at the firm level.

This paper collected firm-level data in China; 232 usable questionnaires from different firms were collected. Then, the study used a structural equation model by AMOS for hypothesis testing.

The results indicate that both internal IT capability and external IT capability have positive impacts on open innovation performance; potential absorptive capacity and realized absorptive capacity mediate the relationship between external IT capability and open innovation performance. Additionally, realized absorptive capacity plays a mediating role in the relationship between internal IT capability and open innovation performance.

These findings indicate that practitioners should pay attention to the important relationship between absorptive capacity and IT capability and open innovation performance in Chinese businesses.

Existing research has emphasized the influence of IT on open innovation, but empirical studies have not thoroughly focused on the inner mechanisms of the effect of IT capability on open innovation performance. Drawing on firm capability theory, this paper classifies IT capability as internal and external IT capability and absorptive capacity as potential and realized absorptive capacity. Then, this paper confirms the mediating role of absorptive capacity between IT capability and open innovation performance.