Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (i) identifies actual clusters of patents: i.e. technological branches, and (ii) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the {citation vector}, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action

The use and usefulness of financial assistance to UK SMEs

Existing literature has paid considerable attention to the effects of supporting programmes on the survival and performance of small and medium-sized enterprises (SMEs), but it lacks a deep understanding of the benefits of the use of such assistance and the factors influencing the evaluation of such services from the perspective of SMEs. We examine the factors affecting the propensity to use assistance when SMEs make financial decisions and the usefulness perceived by the users. We examine 2500 UK SMEs and find that the use of assistance and the usefulness of such services, as perceived by SMEs, are much related to: the characteristics of the entrepreneur, the nature of the business, and the financial products used by the business. These empirical results imply that support and advice on financial decision making, available for SMEs, are important for them to better manage and to access finance. Assistance and advice are also very valuable for SMEs and entrepreneurs to compensate for their lack of human capital and thus facilitate overcoming possible problems in managing their businesses