Resource Orchestration Capability and Digital Innovation of Service Platform Enterprises
In the context of the digital economy,the key for platform businesses to gain a digital innovation advantage has transitioned from traditional resources to data resources.The acquisition of enterprise resource advantages has shifted from a linear value chain to a value network.Furthermore,digital technology is increasingly underpinning enterprise resource management,causing the resource orchestration behaviors of platform businesses to be profoundly impacted by new demands related to the"platform network effect"and"platform technological proficiency".Based on this,network capability and digital platform capability have become essential resource orchestration skills influencing the digital innovation of service platform firms.Practice shows that while network capability and digital platform capability bring innovation advantages to platform enterprises,excessive network capability and digital platform capability will also bring negative influence to enterprise innovation.Although previous studies has also explored the factors affecting enterprises'digital innovation based on network capability,digital platform capability,not only there is a lack of exploration on the optimal scale of network capability and digital platform capability,but also there is still no exploration on the influence of the complementarity of the two capabilities on digital innovation.Drawing on resource orchestration theory,this paper explores the effects of network capability、digital platform capability and the comprehensive balance of both capabilities on platform enterprises'digital innovation.This paper also considers the moderating effects of contingency factors,including industry and regional innovation environment.Moreover,the theoretical model for network capability and digital platform capability affecting platform enterprises'digital innovation is built.Furthermore,to testify the hypotheses,this paper uses 251 service platform enterprises to form regression models and the robustness check also prove the empirical results.The results show that network capability,digital platform capability and their comprehensive balance have an"inverted U-shaped"impact on platform enterprises'digital innovation,and the industry and regional innovation environment have negative moderating effects on the relationship above.This study enriches the research on resource orchestration theory in the context of digital platforms.From the perspective of capability allocation,this study provides a valuable supplement to the research on the"net effect"of enterprise capabilities.Based on the"interaction effect between internal capabilities and external environment"perspective,it unveils the black-box mechanisms of how service platform firms undertake digital innovation.The conclusions can offer specific practical guidance for platform firms'digital innovation.First of all,building a"win-win"ecological network is important for service platform firms to carry out digital innovation,this paper suggests that service platform firms actively interact with users,service providers and other network actors,but they also should pay attention to network embedding risks.Second,this paper suggests that service platform firms clean and classify messy digital resources through platform modularization and interface standardization,breaking the"data island"dilemma,and also guard against over-reliance on platform technology.Third,this study suggests that service platform firms maintain appropriate synchronization between the network capability and digital platform capability,take the digital platform as the carrier,build a user-centered benign ecosystem to obtain data resources,and rely on platform integration capability to absorb resources effectively.Fourth,this study suggests that service platform firms adjust their digital innovation strategies in time according to the match between their own capabilities and the external environment.In addition,the research also offers important policy recommendations for government.First,this study suggests that government consider regional differences fully when they make innovation support policies,so as to"adapt to local conditions"and"implement policies based on enterprises".Second,this study suggests that government implement differentiated and targeted innovation support policies according to the characteristics of the industry.
万方数据
维普
