Search results

1 – 10 of 20
To view the access options for this content please click here
Article
Publication date: 3 June 2019

Hongqi Han, Yongsheng Yu, Lijun Wang, Xiaorui Zhai, Yaxin Ran and Jingpeng Han

The aim of this study is to present a novel approach based on semantic fingerprinting and a clustering algorithm called density-based spatial clustering of applications…

Abstract

Purpose

The aim of this study is to present a novel approach based on semantic fingerprinting and a clustering algorithm called density-based spatial clustering of applications with noise (DBSCAN), which can be used to convert investor records into 128-bit semantic fingerprints. Inventor disambiguation is a method used to discover a unique set of underlying inventors and map a set of patents to their corresponding inventors. Resolving the ambiguities between inventors is necessary to improve the quality of the patent database and to ensure accurate entity-level analysis. Most existing methods are based on machine learning and, while they often show good performance, this comes at the cost of time, computational power and storage space.

Design/methodology/approach

Using DBSCAN, the meta and textual data in inventor records are converted into 128-bit semantic fingerprints. However, rather than using a string comparison or cosine similarity to calculate the distance between pair-wise fingerprint records, a binary number comparison function was used in DBSCAN. DBSCAN then clusters the inventor records based on this distance to disambiguate inventor names.

Findings

Experiments conducted on the PatentsView campaign database of the United States Patent and Trademark Office show that this method disambiguates inventor names with recall greater than 99 per cent in less time and with substantially smaller storage requirement.

Research limitations/implications

A better semantic fingerprint algorithm and a better distance function may improve precision. Setting of different clustering parameters for each block or other clustering algorithms will be considered to improve the accuracy of the disambiguation results even further.

Originality/value

Compared with the existing methods, the proposed method does not rely on feature selection and complex feature comparison computation. Most importantly, running time and storage requirements are drastically reduced.

Details

The Electronic Library , vol. 37 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

To view the access options for this content please click here
Book part
Publication date: 15 July 2020

Kun Zhang, Jeffrey J. Reuer and Francisco Morales

Strategy and entrepreneurship scholars have identified many benefits of signaling for new ventures to access resources in financial and other factor markets. However…

Abstract

Strategy and entrepreneurship scholars have identified many benefits of signaling for new ventures to access resources in financial and other factor markets. However, scholars have not studied the extent to which new ventures can employ signals to hire new talent. This chapter investigates inventor mobility across biopharmaceutical new ventures and examines the effects of two signals, venture capitalist (VC) prominence and alliance network prominence. We suggest that VC prominence and alliance network prominence can provide assurances to prospective employees about a venture's resources and prospects, thereby facilitating inventor mobility owing to enhanced labor market efficiency. Empirical evidence from biopharmaceutical startups shows that new ventures can benefit from signals emanating from their ties to VCs and alliance partners and attract inventors to join them. We also find that these signaling effects attenuate as information asymmetry diminishes.

Details

Employee Inter- and Intra-Firm Mobility
Type: Book
ISBN: 978-1-78973-550-5

To view the access options for this content please click here
Book part
Publication date: 15 July 2020

Jeongsik (Jay) Lee

The past few decades have witnessed a phenomenal progress in our understanding of employee mobility as a critical driver and consequence of various outcomes for

Abstract

The past few decades have witnessed a phenomenal progress in our understanding of employee mobility as a critical driver and consequence of various outcomes for individuals, organizations, industries, and economies. In the process, researchers have tackled several important issues in conducting empirical research on employee mobility. This chapter provides a critical discussion of the extant literature focusing on five broad areas: identification of mobility, timing of mobility, outcomes of mobility and their operationalization, model identification, and other related issues. In doing so, this article identifies some of the empirical choices and methodologies adopted in prior mobility studies, evaluates those practices, and suggests areas of improvements for the practice. It is hoped that future studies will benefit from this chapter's insight by building on the best practices from the literature while continuously and successfully tackling the issues that have been challenging the researchers on this increasingly important topic of scholarly inquiry.

Details

Employee Inter- and Intra-Firm Mobility
Type: Book
ISBN: 978-1-78973-550-5

To view the access options for this content please click here
Book part
Publication date: 17 March 2017

Tyler Wry and Adam R. Castor

Studies have shown that actors who affiliate with multiple categories generally do so at their own peril. Still, category spanning is routinely observed, although it is…

Abstract

Studies have shown that actors who affiliate with multiple categories generally do so at their own peril. Still, category spanning is routinely observed, although it is less understood. We address this gap by a longitudinal study of category spanning among nanotube technology inventors. Our results highlight the importance of the evolving structure of category relationships, actor embeddedness within the structure, and interactions with other factors, including the attractiveness of related categories. When a category is relationally similar to others, associated inventors are more likely to engage in category spanning, whereas when a category is dissimilar, inventors are more likely to remain within it.

Details

From Categories to Categorization: Studies in Sociology, Organizations and Strategy at the Crossroads
Type: Book
ISBN: 978-1-78714-238-1

Keywords

To view the access options for this content please click here
Article
Publication date: 3 April 2017

Graham Kendall, Angelina Yee and Steven Hardy

The purpose of this paper is to support the use of unique identifiers for the authors of scientific publications. This, the authors believe, aligns with the views of many…

Abstract

Purpose

The purpose of this paper is to support the use of unique identifiers for the authors of scientific publications. This, the authors believe, aligns with the views of many others, as it would solve the problem of author disambiguation. If every researcher had a unique identifier, there would be significant opportunities to provide even more services. These extensions are proposed in this paper.

Design/methodology/approach

The authors discuss the bibliographic services that are currently available. This leads to a discussion of how these services could be developed and extended.

Findings

The authors suggest a number of ways that a unique identifier for scientific authors could support many other areas of importance to the scientific community. This will provide a much more robust system that provides a much richer and more easily maintained, scientific environment.

Originality/value

The scientific community lags behind most other communities with regard to the way it identifies individuals. Even if the current vision for a unique identifier for authors was to become more widespread, there would still be many areas where the community could improve its operations. This viewpoint paper suggests some of these, along with a financial model that could underpin the functionality.

Details

The Electronic Library, vol. 35 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

Content available
Article
Publication date: 23 April 2020

Francesco Capone and Niccolò Innocenti

The purpose of this paper is to investigate the relational dynamics for innovation and, in particular, the impact of the openness of innovation process on the innovation…

Abstract

Purpose

The purpose of this paper is to investigate the relational dynamics for innovation and, in particular, the impact of the openness of innovation process on the innovation capacity of organisations in restricted geographical contexts.

Design/methodology/approach

Through a negative binomial regression, the work analyses how the characteristics of the openness of the organisation’s innovation process in the period 2004-2010 influence the firm’s patent productivity in the following period (2011-2016).

Findings

The breadth of the open innovation (OI) process, here measured by the number of external network ties that an organisation realises for the realisation of its patents, has a positive effect on patent productivity. The depth of the openness, that is, the intensity of external network ties, has an equally positive influence on the innovative performance. However, after a tipping point, the patent productivity tends to decrease, underlining the costs and problems of OI practices.

Research limitations/implications

This study considers only patent collaborations in the city of Florence. Therefore, it focusses on codified innovations and on a single territorial case study.

Practical implications

The results underline the importance of the adoption of OI practices in restricted geographical contexts (such as cities, clusters or industrial districts) but with several limitations. Only collaborating more with others does not foster the organisation’s invention productivity, but different types of evidence are found here.

Originality/value

An original database has been created, containing all the information on patents realised in the area of Florence from 2004 until 2016, and a social networks analysis was applied to identify the local innovation networks.

Details

Competitiveness Review: An International Business Journal , vol. 30 no. 4
Type: Research Article
ISSN: 1059-5422

Keywords

To view the access options for this content please click here
Article
Publication date: 16 December 2019

Arjan Markus and Tim Swift

The purpose of this paper is to determine whether the strength of corporate governance influences the firm’s ability to retain their key knowledge workers or inventors.

Abstract

Purpose

The purpose of this paper is to determine whether the strength of corporate governance influences the firm’s ability to retain their key knowledge workers or inventors.

Design/methodology/approach

This paper links agency and innovation theory to develop the hypotheses. Agency theory predicts that the interests of employees are counter to those of firm owners. The authors predict that as shareholder power grows as corporate governance strengthens, inventors who are highly productive, and those who pursue risky but valuable exploratory innovation will leave the firm. Given prior scholarship in innovation theory establishing the critical contributions that new knowledge creation and exploratory innovation make to firms’ competitive advantage, the authors consider whether stronger firm-level corporate governance leads to the erosion of the firm’s competitive advantage. The hypotheses are empirically tested using generalized least squares estimation on a data set that combines data on firms, their patents and the governance provisions these firms adopt.

Findings

Using a 10-year sample of publicly traded US firms, the authors find that stronger corporate governance erodes the very foundation of a firm’s innovation capabilities. Stronger corporate governance reduces management job security, which makes managers more risk-averse. This heightened “managerial myopia” results in increased departures of highly valuable inventors employed by the firm. The authors show that these departing inventors are more productive inventors than those who remain and engage in more exploratory R&D than the remaining inventors at the firm.

Originality/value

The findings raise questions on the appropriateness of the adoption of governance provisions strengthening shareholder rights in firms pursuing innovation.

Details

Journal of Strategy and Management, vol. 13 no. 1
Type: Research Article
ISSN: 1755-425X

Keywords

To view the access options for this content please click here
Article
Publication date: 12 December 2016

Ahreum Lee, Ram Mudambi and Marcelo Cano-Kollmann

In the modern knowledge-intensive economy, a nation’s competitiveness depends on the ability of its constituent firms to innovate. Extant research in national systems of…

Abstract

Purpose

In the modern knowledge-intensive economy, a nation’s competitiveness depends on the ability of its constituent firms to innovate. Extant research in national systems of innovation highlights institutions and public policies toward innovation as key determinants that affect firms’ innovation activities. This paper aims to widen the investigation by arguing that co-inventor connectivity allows firms to access the most tacit knowledge within global innovation systems. Therefore, it is one of the key factors that underpin a nation’s ability to develop and sustain its competitiveness.

Design/methodology/approach

Using a data set of 406,168 patents from US Patent and Trademark Office during the period of 1975-2004, this study analyzed the Japanese system of innovation through co-inventor networks.

Findings

Surprisingly, the authors found that compared to other advanced countries such as Germany and Denmark, the Japanese innovation system is quite closed.

Originality/value

The dimension of tacit knowledge is crucial in the current environment of rapid cycle time, short product lifespans and increasing emphasis on exploratory innovation. Hence the authors speculate that closedness to global innovation systems could be one of the reasons why many of Japan’s traditionally powerful multinational enterprises exhibit weak performance in recent years.

Details

Multinational Business Review, vol. 24 no. 4
Type: Research Article
ISSN: 1525-383X

Keywords

To view the access options for this content please click here
Article
Publication date: 20 April 2012

Mohamed Morsey, Jens Lehmann, Sören Auer, Claus Stadler and Sebastian Hellmann

DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the web using Linked Data and SPARQL…

Abstract

Purpose

DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the web using Linked Data and SPARQL. However, the DBpedia release process is heavyweight and releases are sometimes based on several months old data. DBpedia‐Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. This paper seeks to address these issues.

Design/methodology/approach

Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of articles, which were recently updated. DBpedia‐Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia‐Live publishes the newly added/deleted triples in files, in order to enable synchronization between the DBpedia endpoint and other DBpedia mirrors.

Findings

During the realization of DBpedia‐Live the authors learned that it is crucial to process Wikipedia updates in a priority queue. Recently‐updated Wikipedia articles should have the highest priority, over mapping‐changes and unmodified pages. An overall finding is that there are plenty of opportunities arising from the emerging Web of Data for librarians.

Practical implications

DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia‐Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up‐to‐date information.

Originality/value

The new DBpedia‐Live framework adds new features to the old DBpedia‐Live framework, e.g. abstract extraction, ontology changes, and changesets publication.

Details

Program, vol. 46 no. 2
Type: Research Article
ISSN: 0033-0337

Keywords

To view the access options for this content please click here
Article
Publication date: 3 December 2018

Cong-Phuoc Phan, Hong-Quang Nguyen and Tan-Tai Nguyen

Large collections of patent documents disclosing novel, non-obvious technologies are publicly available and beneficial to academia and industries. To maximally exploit its…

Abstract

Purpose

Large collections of patent documents disclosing novel, non-obvious technologies are publicly available and beneficial to academia and industries. To maximally exploit its potential, searching these patent documents has increasingly become an important topic. Although much research has processed a large size of collections, a few studies have attempted to integrate both patent classifications and specifications for analyzing user queries. Consequently, the queries are often insufficiently analyzed for improving the accuracy of search results. This paper aims to address such limitation by exploiting semantic relationships between patent contents and their classification.

Design/methodology/approach

The contributions are fourfold. First, the authors enhance similarity measurement between two short sentences and make it 20 per cent more accurate. Second, the Graph-embedded Tree ontology is enriched by integrating both patent documents and classification scheme. Third, the ontology does not rely on rule-based method or text matching; instead, an heuristic meaning comparison to extract semantic relationships between concepts is applied. Finally, the patent search approach uses the ontology effectively with the results sorted based on their most common order.

Findings

The experiment on searching for 600 patent documents in the field of Logistics brings better 15 per cent in terms of F-Measure when compared with traditional approaches.

Research limitations/implications

The research, however, still requires improvement in which the terms and phrases extracted by Noun and Noun phrases making less sense in some aspect and thus might not result in high accuracy. The large collection of extracted relationships could be further optimized for its conciseness. In addition, parallel processing such as Map-Reduce could be further used to improve the search processing performance.

Practical implications

The experimental results could be used for scientists and technologists to search for novel, non-obvious technologies in the patents.

Social implications

High quality of patent search results will reduce the patent infringement.

Originality/value

The proposed ontology is semantically enriched by integrating both patent documents and their classification. This ontology facilitates the analysis of the user queries for enhancing the accuracy of the patent search results.

Details

International Journal of Web Information Systems, vol. 15 no. 3
Type: Research Article
ISSN: 1744-0084

Keywords

1 – 10 of 20