scholarly journals Gauging a Firm’s Innovative Performance Using an Integrated Structural Index for Patents

2017 ◽  
Vol 1 (1) ◽  
pp. 6-27
Author(s):  
Xiaojun Hu ◽  
Ronald Rousseau

AbstractPurposeIn this contribution we try to find new indicators to measure characteristics of a firm’s patents and their influence on a company’s profits.Design/methodology/approachWe realize that patent evaluation and influence on a company’s profits is a complicated issue requiring different perspectives. For this reason we design two types of structural h-indices, derived from the International Patent Classification (IPC). In a case study we apply not only basic statistics but also a nested case-control methodology.FindingsThe resulting indicator values based on a large dataset (19,080 patents in total) from the pharmaceutical industry show that the new structural indices are significantly correlated with a firm’s profits.Research limitationsThe new structural index and the synthetic structural index have just been applied in one case study in the pharmaceutical industry.Practical implicationsOur study suggests useful implications for patentometric studies and leads to suggestions for different sized firms to include a healthy research and development (R&D) policy management. The structural h-index can be used to gauge the profits resulting from the innovative performance of a firm’s patent portfolio.Originality/valueTraditionally, the breadth and depth of patents of a firm and their citations are considered separately. This approach, however, does not provide an integrated insight in the major characteristics of a firm’s patents. The Sh(Y) index, proposed in our investigation, can reflect a firm’s innovation activities, its technological breadth, and its influence in an integrated way.

2021 ◽  
Author(s):  
Cesar Vianna Moreira Júnior ◽  
Daniel Marques Golodne ◽  
Ricardo Carvalho Rodrigues

This paper presents the development of a new methodology for evaluation and distribution of patent applications to the examiners at the Brazilian Patent Office considering a specific technological field, represented by classification of the application according to the International Patent Classification (IPC), and the variables corresponding to the volume of data of the application and its complexity for the examination process. After identifying the most relevant variables, such as the Specific Areas of Expertise (ZAE) of the examiners, a mathematical model was developed, including: (a) application of the principal component analysis (PCA) method; (b) calculation of a General Complexity Ratio (IGC); (c) classification into five classes (very light, light, moderate, heavy and very heavy) according to IGC average ranges and standard deviations; (d) implementation of a logic of distribution, compensating very heavy applications with very light ones, and light applications with heavy ones; and (e) calculation of a Distribution Balancing Ratio (IBD), considering the differences between the samples’ medians. The model was validated using a sample of patent applications including, in addition to the identified variables, the time for substantive examination by the examiner. Then, a correlation analysis of the variables with time and a comparison of the classifications according to the time and the IGC generated by the model were carried out. The results obtained showed a high correlation of the IGC with time, above 80%, as well as correct IGC classes in more than 80% of applications. The model proposed herein suggests that the three main relevant variables are: total number of pages, total number of claims, and total number of claim pages.


2018 ◽  
Vol 10 (4) ◽  
pp. 454-474 ◽  
Author(s):  
Lorenzo Fiorineschi ◽  
Francesco Saverio Frillici ◽  
Giovanni Gregori ◽  
Federico Rotini

Purpose This paper aims to provide suggestions for the identification of potential new applications for the existing products and/or technologies. Design/methodology/approach A nine-step method has been developed for extracting information about a product or technology, processing the international patent database (IPD) and extracting useful hints for potential new applications. An academic case study has been used to perform the first application of the proposal. Findings A novel approach for processing IPD aimed at supporting the identification of new opportunities for exploiting existing products/technologies. The case study application shows that the proposal allows to extract potentially useful and non-obvious suggestions for new product applications. Research limitations/implications Although some limits inevitably affect this preliminary version of the proposal, important hints for future developments have been inferred for a more comprehensive exploitation of both the firm internal knowledge and the suggestions provided by the international patent database. Practical implications The achieved results can support firms in expanding market opportunities for their products or technologies. Originality/value The proposed approach offers a new structured path for stimulating idea generation for new product applications, by exploiting product information and the cooperative patent classification.


2021 ◽  
Vol 13 (15) ◽  
pp. 8305
Author(s):  
Cristiano Ziegler ◽  
Tiago Sinigaglia ◽  
Mario Eduardo Santos Martins ◽  
Adriano Mendonça Souza

Bees play a fundamental role in the ecological balance of ecosystems, due to the pollination process they carry out on crops, including the production of honey. However, the mortality of bees is a significant concern; bee mortality can occur for several reasons, such as pesticides, mites, viruses, climate change, pathogens and a reduction in food resources and nests. The honey bee (Apis mellifera) is the most widely used bee for commercial pollination and honey production. Therefore, the main objective is to compare the development of patent families and article publications related to the reduction in A. meliífera mortality. Data on patent families were collected on the Orbit platform, while data on scientific articles were collected on the Scopus database, with a time interval of 1980–2019. Subsequently, the data were analyzed in order to show the main priority countries, main assignees, and main IPC (International Patent Classification) codes, an analysis of the technology life cycle and the correlation between the data of patent families and articles published. The technologies that help to decrease bee mortality showed a technological maturity rate of 27.15% for patent families data and 53.35% for data from articles published in journals. It was noticed that the principal interest regarding the reduction in A. mellifera mortality is focused on universities, mainly in the United States and China.


2016 ◽  
Vol 11 (8) ◽  
pp. 44 ◽  
Author(s):  
Rifat Sharmelly

Emerging economies (EEs) are increasingly being considered as new sources of growth and innovation opportunities for global auto multinational companies. Many multinational companies from developed countries are eager to prosper in these economies. However, the crucial challenge that companies face today is to identify what precisely are the approaches required to serve mass market customers in EEs. In this research, the case study of a foreign auto multinational operating in India has been utilized. Focusing on the product innovation for the Indian masses with the creation of the most affordable car ‘Figo’ from the reputed auto multinational Ford, this analysis reveal the importance of engaging same set of suppliers in trust based, recurrent collaborative linkages to enhance the innovative performance. In addition, ensuring an effective value-for-money proposition is needed to achieve innovations with required affordability and acceptability criteria. Furthermore, experimenting with modules and resultant learning about markets are needed to enhance the innovative performance. With the suggested testable propositions, this study has significant theoretical contributions as well as implications for managers of aspiring companies intending to serve EEs.


2016 ◽  
Vol 13 (06) ◽  
pp. 1640014
Author(s):  
Gang Zheng ◽  
Yanting Guo ◽  
Yajuan Wang

During the last few decades, research and development (R&D) have always been regarded as the most important or even the only factor in the attempt to explain the innovation capability and performance of enterprises, industries and economies, while to a large extent, those heterogeneous innovation activities beyond formal R&D are ignored or underestimated. Some research has shown that non-R&D innovation activities contribute to make full use of resources beyond R&D to promote performance, especially to small- and medium-sized enterprises (SMEs) with weak R&D capability. However, non-R&D innovators’ behavior is still a black box by far, and especially few empirical research have been conducted in China context. This paper first explores the heterogeneous innovation patterns of non-R&D innovation by survey among Chinese SMEs in Zhejiang Province. It shows that, product and service customization, imitation and design, technology adoption and incremental modification, organizational innovation and marketing innovation are the main patterns of non-R&D innovation in China. Then, a case study is followed to cross-validate the patterns and relationships between non-R&D innovation and growth of SMEs in China. Generally, this study has implications for both academia and policy-makers. As it demonstrates, non-R&D innovation is an effective way for SMEs to quickly grow and sustain competitiveness in competition. On the other hand, this study helps to optimize some of current innovation policies for SMEs in China, where policy incentives are mainly R&D-focused. It also likely sheds light on the SMEs in other emerging economies.


2021 ◽  
Vol 22 (5) ◽  
pp. 2485
Author(s):  
Clara Couto Fernandez ◽  
Ana Rita Sokolonski ◽  
Maísa Santos Fonseca ◽  
Danijela Stanisic ◽  
Danilo Barral Araújo ◽  
...  

Silver nanoparticles (AgNPs) have been successfully applied in several areas due to their significant antimicrobial activity against several microorganisms. In dentistry, AgNP can be applied in disinfection, prophylaxis, and prevention of infections in the oral cavity. In this work, the use of silver nanoparticles in dentistry and associated technological innovations was analyzed. The scientific literature was searched using PubMed and Scopus databases with descriptors related to the use of silver nanoparticles in dentistry, resulting in 90 open-access articles. The search for patents was restricted to the A61K code (International Patent Classification), using the same descriptors, resulting in 206 patents. The results found were ordered by dental specialties and demonstrated the incorporation of AgNPs in different areas of dentistry. In this context, the search for patents reaffirmed the growth of this technology and the dominance of the USA pharmaceutical industry over AgNPs product development. It could be concluded that nanotechnology is a promising area in dentistry with several applications.


2020 ◽  
Vol 13 (1) ◽  
pp. 210
Author(s):  
Carlos Martin-Rios ◽  
Anastasia Hofmann ◽  
Naomi Mackenzie

Food is essential to our survival, yet the Food and Agriculture Organization of the United Nations (FAO) estimates that about 820 million people were undernourished in 2018. In this context, food waste generation is a particularly salient issue. Wasting food means missing opportunities to feed the growing world population and consuming scarce resources, such as land, water and energy used in the production, processing, distribution and consumption of food. Firms in HORECA (hospitality, restaurant and catering) represent a considerable share of total food waste and, more importantly, are characterized by an overall low sense of awareness about the sustainability-oriented innovation opportunities and challenges of minimizing food waste. This article draws on an in-depth case study to explore the use of technological advancements in downstream value chain. This case study draws on a tech startup providing services for HORECA companies to address a new way for companies to solve the food waste challenge. Adopting technological innovations to quantify and minimize wastage via collaborations with third-party companies can be a strategic and cost-effective way to supplement a company’s open innovation activities.


2022 ◽  
Vol 14 (1) ◽  
pp. 581
Author(s):  
Rodrigo Rodriguez Delgadillo ◽  
Khaled Medini ◽  
Thorsten Wuest

Additive manufacturing as a key Industry 4.0 technology brings radical changes to how we execute production and services operations. However, this innovative technology has not reached maturity and research and development are still in progress to unleash its full sustainability potential. This paper aims to provide operational guidance to decision makers to jointly improve quality and sustainability performance of additive manufacturing processes. We propose a framework based on the DMAIC (Define/Measure/Analyze/Improve/Control) methodology and comprehensive pool of targeted key performance indicators (KPIs) and illustrate this framework through a single case study. The paper evidences the feasibility of extending DMAIC to the growing additive manufacturing domain to achieve quality and sustainability objectives. The case study uncovered some challenges, e.g., the need for customization to a company/industry context, which must be addressed in order to widely apply the proposed framework successfully.


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