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The role of network community characteristics for firms' rapid business scaling

Bibliographic Data

ID21401667
AuthorsViacheslav Iurkov (0000-0002-7822-5782, Grenoble Ecole de Management, corresponding author), Mariia Koval (Grenoble Ecole de Management), Arusyak Zakaryan (0000-0001-9045-7749, Grenoble Ecole de Management)
Year2023
Volume196
Pages122838
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2023.122838
OpenAlexW4386633878
LanguageEN
Citations received2
References cited95

Alliance · Business · Industrial organization · Orchestration · Possession (linguistics) · Sample (material) · Scaling · Scaling law · Complex Network Analysis Techniques · Complex Systems and Time Series Analysis · scientometrics and bibliometrics research

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  • Benefiting from network position

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  • A Comparative Analysis of Community Detection Algorithms on Artificial Networks

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  • Sample Selection Bias as a Specification Error

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  • Social capital

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  • Balanced readiness level assessment (BRLa)

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  • Here there be dragons, a pre-roadmap construct for IoT service infrastructure

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  • Social Networks and Status Attainment

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  • Brokerage and Closure

    R S Burt•Brokerage and Closure•2005

  • Knowledge frontiers and boundaries in entrepreneurship research

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  • Unraveling the entrepreneurial mindset

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  • High-growth firms and productivity

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  • Are high-growth firms one-hit wonders? Evidence from Sweden

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  • Making Democracy Work

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  • Social Network Analysis

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  • Foundations of Social Theory

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  • Community Structure as Interorganizational Linkages

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Unique citing works2
Citations per year1
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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