Purpose: Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences firm performance in relation to the contingency of market-supporting institutions.Design/methodology/approach: A sample of 207 firms was gathered through questionnaires targeting senior managers and R&D managers from high-tech firms in China with two waves including explanatory variables and outcome variables.Findings: This empirical results indicate that disruptive innovation positively affects firm performance, and that innovation speed and innovation quality mediate the relationship between disruptive innovation and firm performance. Meanwhile, market-supporting institutions positively moderate the relationship between innovation speed and firm performance, but negatively moderate the relationship between innovation quality and firm performance.Research limitations/implications: This study suggests that disruptive innovation is important to firm performance, innovation speed and innovation quality play mediating roles, and market-supporting institutions acts as moderating effects. A research limitation is that the data were collected mainly through a questionnaire.Practical implications: Firms should incorporate disruptive innovation as an important strategy and improve innovation speed and innovation quality to promote firm performance, and policymakers should improve the levels of market-supporting institutions to facilitate innovation and performance.Originality/value: This study contributes the literature of disruptive innovation by uncovering the positive effect of disruptive innovation and firm performance and the mediating effects of innovation speed and innovation quality on the abovementioned relationship, and revealing their contingency effects of market-supporting institutions.

Purpose: The purpose of this study is to investigate the impact of corporate social responsibility (CSR) on innovation performance and examine the moderating role of social media strategic capability and big data analytics capability. Specifically, the authors explore the effects of both external and internal CSR on innovation performance.Design/methodology/approach: The authors collected data from 221 senior, middle and research and development (R&D) managers of high-tech firms in China, using a questionnaire survey with a six-month interval.Findings: The empirical results show that both external and internal CSR positively influence innovation performance. Furthermore, social media strategic capability has a positive moderating effect on the relationship between CSR and innovation performance, while big data analytics capability moderates the relationship between external CSR and innovation performance.Research limitations/implications: The data comes from high-tech firms in China, which may limit the generalizability and external validity of the findings. Future studies should replicate this study in other industries and types of organizations.Practical implications: The study suggests that high-tech firms should engage in both external and internal CSR activities to promote innovation performance. Moreover, leveraging social media strategic capability and big data analytics capability can enhance innovation performance.Originality/value: This study contributes to the literature on CSR outcomes by empirically exploring the effects of external and internal CSR on innovation performance, thus extending stakeholder theory. Additionally, by revealing the contingency effects of social media strategic capability and big data analytics capability, this study enriching the research on dynamic capabilities theory in the context of digital transformation.

Users’ continuance intention to use plays a key role in realising disruptive technology innovation. Drawing from expectation – confirmation theory, this study integrates perceived value, trust, and habit to investigate how they affect users’ continuance intention to use disruptive technology innovation by using a questionnaire survey of 247 e-business microcredit users in China. The results indicate that perceived value and trust have an independent positive effect on users’ satisfaction and continuance intention to use, satisfaction has a positive effect on users’ continuance intention to use, and habit moderates negatively the relationship between perceived value and users’ continuance intention to use. The findings contribute to the literature of disruptive technology innovation, innovation adoption, and post adoption behaviour, and shed light on continuers’ behaviour of disruptive technology innovation.