Perceived usefulness of innovation programs for high-tech and low-tech firms

Purpose - Despite the sizable amount of previous research on this topic, little is known about the reasons why firms decide to start collaboration projects with innovation advanced service providers, such as universities and technological institutes. This paper aims to investigate which factors at an individual firm level are involved in these collaborative strategies on supporting product and management improvements offered by local institutions to innovative firms. Design/methodology/approach - The research is contextualized in the Valencian region and applies the resource based view and the regional innovation system approach as theoretical frameworks. Methodologically, the paper adopts a cross-sectional analysis and employs ordered regression models on a sample of innovative firms during 2009. Findings - Firstly, this paper endorses previous research suggesting the crucial role of cooperation and external knowledge on SME innovation. Secondly, it evidences how internal resources and capabilities determine a firm's use of public supported innovation. Thirdly, previous experience appears to be extremely relevant in explaining successful engagement in both technological and managerial innovation programs. Research limitations/implications - Because the case study approach and qualitative methodologies are used, the authors advise readers not to generalize their findings. The research on the subject matter is offered as a means to substantiate or refute the latest research premises, and provide empirical evidence on the selected region. Originality/value - Although this paper corroborates recent contributions, it does provide some novel findings. High-level managerial capabilities seem to discourage the use of public programs supporting innovation practices (either in technological or managerial aspects), while engagement in university programs relies heavily on the firm's technological capabilities or exposure to global competition, and less on other characteristics. Policy makers should pay particular attention to both pieces of evidence when designing programs.