Comparative Study of Trace Metrics between Bibliometrics and Patentometrics

Purpose： To comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and patentometrics. Design/methodology/approach： Trace metrics were applied to the top 30 universities in the2014 Academic Ranking of World Universities（ARWU） — computer sciences, the top 30 ESI highly cited papers in the computer sciences field in 2014, as well as the top 30 assignees and the top 30 most cited patents in the National Bureau of Economic Research（NBER） computer hardware and software category.Findings： We found that, by applying trace metrics, the research or marketing impact efficiency, at both group and individual levels, was clearly observed. Furthermore, trace metrics were more sensitive to the different publication-citation distributions than the average citation and h-index were.Research limitations： Trace metrics considered publications with zero citations as negative contributions. One should clarify how he/she evaluates a zero-citation paper or patent before applying trace metrics.Practical implications： Decision makers could regularly examinine the performance of their university/company by applying trace metrics and adjust their policies accordingly.Originality/value： Trace metrics could be applied both in bibliometrics and patentometrics and provide a comprehensive view. Moreover, the high sensitivity and unique impact efficiency view provided by trace metrics can facilitate decision makers in examining and adjusting their policies.

Study on Identification Methods for Ecological Technologies

In this study, we first define ecological technologies and the need for identification technology, and we then examine all the present methods of identification technology： Delphi method, Technology Road Mapping Method, Analytic Hierarchy Process, Patentometric method and the text mining method. Among these methods, the combination of Delphi ＋ Analytic Hierarchy Process incorporates ecological technologies into social and economic systems for a systematic identification, and is able to build an index system for an identification model of ecological technologies, identifying technical features, technical level and performance, and economic, social and ecological benefits. Patentometric method presents an objective perspective for identification, based on the characteristics and the internal development logic of ecological technologies. We find that the Delphi ＋ Analytic Hierarchy Process and Patentometric method are the best choices for identification of ecological technologies, because both combine the advantages of qualitative and quantitative identification.