Entry strategies in an emerging technology: a pilot web-based study of graphene firms
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DOI: 10.1007/s11192-013-0950-7
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- Rammer, Christian & Es-Sadki, Nordine, 2022. "Using big data for generating firm-level innovation indicators: A literature review," ZEW Discussion Papers 22-007, ZEW - Leibniz Centre for European Economic Research.
- Sanjay K. Arora & Yin Li & Jan Youtie & Philip Shapira, 2020. "Measuring dynamic capabilities in new ventures: exploring strategic change in US green goods manufacturing using website data," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1451-1480, October.
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- Janna Axenbeck & Patrick Breithaupt, 2021. "Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-23, April.
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- Stich, Christoph & Tranos, Emmanouil & Nathan, Max, 2021. "Modelling Clusters From The Ground Up: A Web Data Approach," SocArXiv j2w8v, Center for Open Science.
- Stich, Christoph & Tranos, Emmanouil & Nathan, Max, 2023. "Modeling clusters from the ground up: a web data approach," LSE Research Online Documents on Economics 115565, London School of Economics and Political Science, LSE Library.
- Veronika Belousova & Oxana Bondarenko & Nikolay Chichkanov & Denis Lebedev & Ian Miles, 2022. "Coping with Greenhouse Gas Emissions: Insights from Digital Business Services," Energies, MDPI, vol. 15(8), pages 1-26, April.
- Desamparados Blazquez & Josep Domenech & Jose-Maria Garcia-Alvarez-Coque, 2018. "Assessing Technology Platforms for Sustainability with Web Data Mining Techniques," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
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- Kinne, Jan & Axenbeck, Janna, 2018. "Web mining of firm websites: A framework for web scraping and a pilot study for Germany," ZEW Discussion Papers 18-033, ZEW - Leibniz Centre for European Economic Research.
- Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
- Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
- Jan Kinne & Janna Axenbeck, 2020. "Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2011-2041, December.
- Motohashi, Kazuyuki & Zhu, Chen, 2023.
"Identifying technology opportunity using dual-attention model and technology-market concordance matrix,"
Technological Forecasting and Social Change, Elsevier, vol. 197(C).
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- Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
- Abdullah Gök & Alec Waterworth & Philip Shapira, 2015. "Use of web mining in studying innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 653-671, January.
- Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
- Kenza Bousedra & Pierre Pelletier, 2024. "A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector," Papers 2412.02342, arXiv.org.
- Ashouri, Sajad & Hajikhani, Arash & Suominen, Arho & Pukelis, Lukas & Cunningham, Scott W., 2024. "Measuring digitalization at scale using web scraped data," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
- Bottai, Carlo & Crosato, Lisa & Domenech, Josep & Guerzoni, Marco & Liberati, Caterina, 2024. "Scraping innovativeness from corporate websites: Empirical evidence on Italian manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
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Keywords
; ; ; ; ; ; ; ; ;JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
- Z18 - Other Special Topics - - Cultural Economics - - - Public Policy
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