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on Intellectual Property Rights |
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Issue of 2019‒10‒14
two papers chosen by Giovanni Ramello Università degli Studi del Piemonte Orientale “Amedeo Avogadro” |
| By: | Crystal, Michael; Gandal, Neil; Shilony, Royee; Shur-Ofry, Michal |
| Abstract: | Scientific understanding of innovation processes and of the patent system increasingly relies on big data analyses of patent citations. Much of that research focuses on highly cited patents. This study, conversely, offers the first systematic exploration of uncited patents-patents that receive no citations. Analyzing data on all US patents issued between 1976 and 2008, we focus on the ratio of uncited patents out of all patents granted each year. We track the changes in the percentage of uncited patents during that period, and across technological fields, controlling for patents' age. We also investigate traits of uncited patents by examining the association between lack of citations and various factors including the number of inventors, number of technological subclasses, number of backward citations, and number of claims in the patent. We find a robust pattern whereby the percentage of uncited patents declined between 1976 and the mid 1990s, but has been significantly increasing since then. These findings are consistent across technological fields and hold after controlling for patent characteristics. We discuss these and additional findings, and propose possible explanations. We suggest that the trend of increase in uncited patents raises, and reinforces, concerns regarding patent quality and "patent explosion". More broadly, our focus on "negative information" embedded in patent data opens up a new avenue for further research that can deepen our understanding of the patent system. |
| Keywords: | Big Data; Innovation; Negative Knowledge; networks; Patent Citations; Uncited Patents |
| Date: | 2019–09 |
| URL: | http://d.repec.org/n?u=RePEc:cpr:ceprdp:13982&r=all |
| By: | Vonny Susanti (Graduate School of Management and Business, Bogor Agricultural University, Indonesia Author-2-Name: Ujang Sumarwan Author-2-Workplace-Name: Department of Family and Consumer Science, Graduate School of Management and Business, Bogor Agricultural University, Indonesia Author-3-Name: Megawati Simanjuntak Author-3-Workplace-Name: Department of Family and Consumer Science, Graduate School of Management and Business, Bogor Agricultural University, Indonesia Author-4-Name: Eva Z Yusuf Author-4-Workplace-Name: Graduate School of Management and Business, Bogor Agricultural University, Indonesia Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:) |
| Abstract: | Objective - The purpose of this study is to identify which factor has a stronger influence on customer satisfaction: perceived value or brand association. By understanding the influencer, the seller understands what policies and implications should be addressed to maintain and even enhance customer loyalty.Methodology/Technique - This empirical study uses a quantitative method and employs a PLS program to ensure a correlation between the constructs. Finding - The study concludes that brand association is a crucial determinant factor in customer satisfaction. Brand associations influence satisfaction relatively more than perceived value does. From the customer perspective, brand associations are affected more by salesman personality than brand image. Type of Paper - Empirical. |
| Keywords: | Brand Association; Brand Image; Perceived Value; Salesman Personality; Satisfaction. |
| JEL: | M30 M31 M39 |
| Date: | 2019–09–23 |
| URL: | http://d.repec.org/n?u=RePEc:gtr:gatrjs:jmmr224&r=all |