Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
PurposeMore enterprises adopt open innovation by breaking technological or organizational boundaries to seek internal and external knowledge when they face a fiercely competitive environment, complex market demands, and increasingly rapid technological change. In this context, a knowledge search strategy is regarded as an effective means of obtaining inside and outside resources and an important way to break the innovation bottleneck. Moreover, information technology (IT) is deemed an important asset for sourcing knowledge, whereas absorptive capacity is seen as an indispensable ability for utilizing novel knowledge. Thus, this paper aims to test the role of knowledge search in open innovation and examine the mediating effect of absorptive capacity and the moderating effect of IT capability.Design/methodology/approachUsing a sample of 1,088 Chinese firms’ data collected by the World Bank in 2012, this paper employs logistic regression to test the hypotheses.FindingsThis study finds that local and boundary-spanning search strategies positively influence both product and process innovation, and absorptive capacity has a mediating role in the relationships between knowledge search and product and process innovation. Moreover, IT capability has a positive moderating effect on the relationship between local search and innovation performance; however, IT capability strengthens the relationship between boundary-spanning search and process innovation while weakens that between boundary-spanning search and product innovation.Originality/valueThis study explores the impact of different knowledge search behaviors on different types of innovation and probes the role of absorptive capacity and IT capability in mediating and moderating the above relationships. By drawing on knowledge-based theory and cognitive-developmental theory, this paper provides a novel perspective to explain the mechanism between knowledge search and innovation performance.
Sclerodermus sichuanensis is the natural enemy of the longicorn beetle due to its strong attack ability and high parasitic rate. Its good resistance and fecundity make it have significant biological control value. The Maxent model and ArcGIS software were used to simulate the current distribution of S. sichuanensis in China by combining the known distribution information and environmental variables and predict the suitable area of the 2050s (2041–2060) and 2090s (2081–2000) under three climate scenarios (SSP1-2.6, SSP2-4.5. and SSP5-8.5). The results showed that the Mean Diurnal Range (bio2), Min Temperature of the Coldest Month (bio6), Precipitation of the Warmest Quarter (bio18), and Max Temperature of the Warmest Month (bio5) were the key environmental variables affecting the distribution of S. sichuanensis. Southwest China and part of North China are the main concentrations of the current high-suitability areas of S. sichuanensis. The moderately suitable areas are concentrated in South China and Central China. Under the SSP5-8.5 scenario, the suitable area predicted in the 2050s will expand significantly to North China and Northwest China, with a total increase of 81,295 km2. This work provides an essential reference for future research on S. sichuanensis and the application of forestry pest control.
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