Regional innovation capability from a technology-oriented perspective: An analysis at industry level

University libraries innovation capability: A framework from Indonesia

Highlights – Innovation capability (IC) research by university libraries is lacking but provides a clear view of the current body of knowledge. – The themes underpinning innovation capability were explored while a novel framework was developed. – The IC could be established when libraries reflect organisational relevancy (OR) and librarians’ confidence (LC) moderated by relationship-based leadership (RL). – The IC potentially facilitates innovation performance (IP). – The RL is a unique variable that must be examined in the wider context. Given the current dynamism of university libraries as knowledge hubs through innovations and adaptations, this qualitative study incorporated the practices of developing innovation capabilities (IC) in libraries, particularly for Indonesian state-owned higher education institutions using grounded theory. In expanding the current body of literature on IC, this research highlighted non-profit stances and proposed a framework for the present context. As the first empirical work to map IC processes from university libraries, this study presented an in-depth view of their progress and a novel variable, relationship-based leadership (RL), for further examination. Notably, potential research topics were formulated for future works.

Promoting the efficiency of scientific and technological innovation in regional industrial enterprises: Data-driven DEA-Malmquist evaluation model

With the increasing severity of the global energy crisis and environmental pollution, there is an urgent need to change the economic development model driven by certain factors and the investment scale and pursue science- and technology-driven innovative development. This study aims to improve the efficiency of scientific and technological innovation and promote the high-quality development of regional industrial enterprises. It constructs a data-driven DEA-Malmquist evaluation model to evaluate and optimize regional industrial enterprises’ scientific and technological innovation efficiency. First, we collect the panel data of regional industrial enterprises’ scientific and technological innovation input-output indexes. Second, we use the Pearson correlation coefficient method to identify and construct the evaluation index system of regional industrial enterprises’ scientific and technological innovation efficiency. Third, we build a DEA-Malmquist evaluation model to quantitatively evaluate regional industrial enterprises’ scientific and technological innovation efficiency from static and dynamic aspects. Finally, we verify the feasibility and effectiveness of the method using statistical data on scientific and technological innovation and development of Anhui Industrial Enterprises from 2011 to 2019 and put forth targeted countermeasures and suggestions. This study provides theoretical and methodological support for the sustainable development of industrial enterprises.