Catherine Beaudry

ORCID: 0000-0002-2110-3151
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About
Contact & Profiles
Research Areas
  • Innovation Policy and R&D
  • Firm Innovation and Growth
  • scientometrics and bibliometrics research
  • Innovation and Knowledge Management
  • Private Equity and Venture Capital
  • Intellectual Property and Patents
  • Social Sciences and Governance
  • University-Industry-Government Innovation Models
  • Economic Growth and Productivity
  • Health and Medical Research Impacts
  • Entrepreneurship Studies and Influences
  • Education, sociology, and vocational training
  • Healthcare Systems and Practices
  • Regional Development and Policy
  • Grief, Bereavement, and Mental Health
  • Regional Economics and Spatial Analysis
  • Multiculturalism, Politics, Migration, Gender
  • Digital Transformation in Industry
  • Diversity and Career in Medicine
  • Agriculture and Rural Development Research
  • Global Health and Surgery
  • Web visibility and informetrics
  • Open Source Software Innovations
  • Big Data and Business Intelligence
  • Technology Assessment and Management

Polytechnique Montréal
2015-2025

Université du Québec à Rimouski
2013-2024

Université du Québec à Montréal
2011-2023

Copenhagen Business School
2017

IAC (United States)
2015

Center for Interuniversity Research and Analysis on Organizations
2010-2014

University of Oxford
2014

École Polytechnique
2011

Université Laval
2007

University of Manchester
2003

This paper examines empirically whether firms located in strong industrial clusters are more innovative than outside these regions. The study performs a firm-level analysis for two countries: Italy and the United Kingdom. European patent data period 1990-98 used as indicator of firms' activity, related to employment region where located, other cluster-specific firm-specific variables. main result is that clustering alone not conducive higher performance. Whereas location cluster densely...

10.1080/10438590290020197 article EN Economics of Innovation and New Technology 2003-08-01

Artificial intelligence (AI) empowers traditional firms to transform into Industry 4.0, enabling them compete in an era of rapid technological advancements. However, AI adoption remains limited among Canadian firms. This research aims identify the key dimensions AI-driven digital transformation (AIDT) and develop a grounded theory that provides rich nuanced understanding how AIDT process unfolds within SMEs. The study reveals is shaped by interplay five core dimensions: evaluating context,...

10.1080/13662716.2023.2242285 article EN cc-by-nc-nd Industry and Innovation 2023-08-27

In most countries, basic research is supported by councils that select, after peer review, the individuals or teams are to receive funding. Unfortunately, number of grants these can allocate not infinite and, in cases, a minority researchers majority funds. However, evidence as whether this an optimal way distributing available funds mixed. The purpose study measure relation between amount funding provided 12,720 Quebec over fifteen year period (1998-2012) and their scientific output impact...

10.1093/reseval/rvw007 article EN Research Evaluation 2016-03-25

This paper studies how firm performance is influenced by the strength of industrial cluster (or district) in which it located. The presents estimates firm-level employment and patent growth models for a range '5-digit' aerospace industries UK. In these models, firm's own sector other sectors taken as measure cluster. Strong positive clustering effects are found many sectors, but nevertheless some negative. Entry into clusters this industry also examined to attract new entry while others only...

10.1080/13571510110079000 article EN International Journal of the Economics of Business 2001-11-01

Existing literature on innovation ecosystems predominantly focuses the analysis of established ecosystems, leaving a significant gap in empirical studies examining emergence phase and mechanisms that underpin their creation. To address this gap, research mobilizes concepts orchestration temporary structures, exploring role development ecosystem surrounding fifth generation (5G) mobile telecommunication technology. This study specifically investigates conditions necessary for formation...

10.2139/ssrn.5087603 preprint EN 2025-01-01

A large body of literature on gender differences in scientific publication output has clearly established that women scientists publish less men do. Yet, no single explanation or group explanations satisfactorily accounts for this difference, which been called the "productivity puzzle". To provide a more refined portrait relation to their male peers, we conducted web-based survey 2016 individual researchers across all African countries, except Libya. The resulting 6,875 valid questionnaires...

10.3389/frma.2023.1040823 article EN cc-by Frontiers in Research Metrics and Analytics 2023-02-20

We investigated the factors influencing an academic's propensity to patent and quality of patenting in nanotechnology biotechnology. found that a university researcher is more likely be listed as inventor patented innovation, regardless assignee, if he receives private funding, has fairly high level cliquishness scientific network shown prior capacity successfully collaborate with industry, concept we named innovation loops. Furthermore, citation rate number claims, which are used represent...

10.1080/13662716.2013.791125 article EN Industry and Innovation 2013-04-01

10.1016/j.jengtecman.2012.03.004 article EN Journal of Engineering and Technology Management 2012-04-01

This study investigates co-author and co-inventor collaborations using scientific articles patents to measure collaborative knowledge production. paper assesses how a scientist’s position within the joint co-publication co-invention network affects its production citation impact. Our findings reveal that number of publications is strongly associated with scientists’ in co-author/inventor networks technological actually increases collaboration such networks. These academic relationships have...

10.1080/13662716.2017.1421913 article EN Industry and Innovation 2018-01-17

Open innovation is the systematic integration of collaborative, sourcing and revealing practices into a firm's business strategy, which not implemented at once, but through journey. This paper investigates this subject in an emergent economy context, Brazilian aerospace industry, presenting critical analysis questionnaire-based survey performed by means personal in-company interviews 22 firms. It comprises wide range associated with open innovation, connected to conceptual model. elements...

10.5028/jatm.v6i4.390 article EN cc-by Journal of Aerospace Technology and Management 2014-11-23

10.1016/j.techfore.2021.121438 article EN Technological Forecasting and Social Change 2021-12-28
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