Purpose Based on 9,281 firm-level survey data on micro, small and medium enterprises (MSMEs) in India, this study aims to investigate how access to different finance sources and collateral requirement facilitates the firm’s innovation activity across industries. Design/methodology/approach This paper used ordered logit regression models using Stata software for explanatory variables to measure the impact of explanatory variables on firm innovation performance. Firms’ innovation performance is measured through the aggregate innovation index obtained by adding up the no. of “new-to-firm” activities. Findings The empirical results reveal that external sources of funding impact innovation activity than other financing sources. Also, the requirement of collateral for financing impacts innovation performance significantly. This paper finds that firms funded by state-owned banks or government agency are more actively engaged in innovation activities. The firm’s size, ownership structure and location of the firm also show the varying innovation performance. This paper found variation in innovation performance across industries as well. Practical implications First, the present study underlines the significance of funding sources. Second, minimizing the need for collateral to obtain external finance boosts small firms’ innovation activity and will also trigger overall economic growth. Finally, while making policies for ownership transformation of state-owned institutions, policymakers should discuss these policies’ impact on innovative firms. Originality/value What facilitates innovation performance in an emerging market is missing in the literature for MSMEs, largely due to lack of data. It is reasonable not to generalize innovation knowledge in large firms to small firms because of the constraints, particularly MSMEs face.

PurposeThis paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.Design/methodology/approachThe study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.FindingsThe main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.Originality/valueThis study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.