Purpose – This study aims to examine the potential impact of external complementary resources on inbound open innovation and whether transformative capacity acts as a mediator in the process. If small and medium enterprises (SMEs) are to successfully implement inbound open innovation, they require injections of external complementary resources. Design/methodology/approach – Structural equation modeling was used to conduct confirmatory factor analysis to evaluate measurement model, while ordinary least squares regression analysis was used to test the hypotheses; research data are collected using surveys of 200 Taiwanese-owned SMEs in mainland China. Findings – Empirical results indicate that when SMEs seek to implement inbound open innovation, technological complementarity is the most important factor in resource complementarity. In addition, transformative capacity has a significant mediating role on the relationship between resource complementarity and inbound open innovation. Originality/value – The contribution of this paper lies in explaining the role played by transformative capacity in the process of inbound open innovation for SMEs through empirical analysis.

Medical facilities help to ensure a higher quality of life and improve social welfare. The spatial accessibility determines the allocation fairness and efficiency of medical facilities. It also provides information about medical services that residents can share. Although critical, scholars often overlooked the level of medical facilities, the composition of integrated transportation networks, and the size of service catchment in the literature on accessibility. This study aims to fill this research gap by considering the integrated transportation network, population scale, travel impedance between medical facilities and residential areas, and the impact of medical facilities’ levels on residents’ medical choices. An improved potential model was constructed to analyze the spatial accessibility of medical facilities in Changning District of Shanghai, China. Interpolation analysis was conducted to reveal the spatial accessibility pattern. Cluster and outlier analysis and Getis-Ord Gi* analysis were applied for the cluster analysis. Results show that the spatial accessibility of medical facilities is quite different in different residential areas of Changning District, Shanghai. Among them, the spatial accessibility of medical facilities is relatively high in Hongqiao subdistrict, Xinjing Town, and part of Xinhua Road subdistrict. In addition, residents have overall better access to secondary hospitals than to primary and tertiary hospitals in the study area. This study provides a spatial decision support system for urban planners and policymakers regarding improving the accessibility of healthcare facilities. It extends the literature on spatial planning of public facilities and could facilitate scientific decision making.

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