|
on Intellectual Property Rights |
Issue of 2021‒08‒09
four papers chosen by Giovanni Ramello Università degli Studi del Piemonte Orientale “Amedeo Avogadro” |
By: | Johannes van der Pol (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique); Jean-Paul Rameshkoumar |
Abstract: | The aim of this paper is to present a method that allows researchers and analysts to reduce the number of false positives in a patent query. Patents are not only used for prior art searches but increasingly for competitive analyses and the analysis of the evolution of technology. When these case focus on specific technological domains, non-experts will aim to identify patents related to their focus-technology. In certain cases this can require complex queries to contain thousands of patents. It then becomes difficult to identify false positives. We present a method that allows researchers and analysts to refine their query on large datasets. |
Keywords: | Patent Query,Patents,Competitive Intelligence,Technology Mapping,Information systems,Patent landscaping |
Date: | 2021–07–16 |
URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:hal-03287970&r= |
By: | Pavel Kocourek |
Abstract: | In this paper I investigate the role of private information in a patent race. Since firms often do their research in secrecy, the common assumption in patent race literature that firms know each other’s position in the race is questionable. I analyze how the dynamics of the game changes when a firm’s progress is its private information, and I address the question whether revealing it might be to a firm’s advantage. I find that a firm has an incentive to reveal its breakthrough only if its rival has not done so, and only if the research is costly. |
Keywords: | : Patent Race; R&D Investment; Race; Optimal Effort; Revealing Private Information; |
Date: | 2021–07 |
URL: | http://d.repec.org/n?u=RePEc:cer:papers:wp693&r= |
By: | Minhaj, Rutaba; Tasneem, Abdul Rafe; Farrukh, Maira; Ziarab, Mohammad; Raza, Muhammad Ali |
Abstract: | The Purpose of this study is to examine the relationship between interaction, trust, reciprocity, identification, language, vision, bonding and bridging on brand commitment in an online brand community. The sample size of our research is 250; the data was collected from the teachers and Students of the business university. In this research, data is analyzed using (PLS-SEM) model. The findings of our study will benefit retailers and marketers of Nestle, in the context of community engagement and brand knowledge by offering information on how they may enhance social connection. Our findings reveal that shared vision has a positive impact on brand commitment. Hence, company’s top management should share the vision with customers and colleagues so that they become more involved and committed to their growth as a brand. The results identified that there is a significant and direct effect of trust, shared value, shared language, shared vision, reciprocity and bridging on Brand commitment. Whereas, there is an insignificant and direct effect of bonding and identification on brand commitment in an online brand community. Furthermore, we found out that factors like trust, shared value, language and vision, bridging acts as a strong determinant of brand commitment and our findings add value to the area of literature where researchers seek to investigate the role of these variables in online brand communities. |
Keywords: | Social capital, brand commitment, bonding, bridging, online brand community |
JEL: | M1 M14 |
Date: | 2021 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:109007&r= |
By: | Chen, Yongmin; Jiang, Haiwei; Liang, Yousha; Pan, Shiyuan |
Abstract: | This paper studies how foreign direct investment (FDI) affects innovation in the host country, using matched firm-level patent data of Chinese firms. The data contain multidimensional information about patent counts and citations which, together with an identification strategy based on Lu et al. (2017), allows us to measure innovation comprehensively and to uncover the causal relationship. Our empirical analysis shows that FDI has positive intra-industry effects on the quantity and quality of innovation by Chinese firms. We show that these positive effects are driven by increases in competition, rather than by knowledge spillover from FDI which is measured by patent citations between domestic firms and foreign invested enterprises (FIEs). We further investigate the inter-industry effects of FDI and find that FDI has positive vertical effects on innovation in upstream sectors. |
Keywords: | FDI; Innovation; Patent; Competition; Spillover |
JEL: | F2 L5 O3 |
Date: | 2021–07–26 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:108902&r= |