IDEAS home Printed from https://ideas.repec.org/r/taf/ecinnt/v28y2019i3p296-316.html
   My bibliography  Save this item

BIG data – BIG gains? Understanding the link between big data analytics and innovation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
  2. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  3. Radicic, Dragana & Petković, Saša, 2023. "Impact of digitalization on technological innovations in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  4. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
  5. Koski, Heli & Fornaro, Paolo, 2024. "Digitalization and Resilience: Data Assets and Firm Productivity Growth During the COVID-19 Pandemic," ETLA Working Papers 113, The Research Institute of the Finnish Economy.
  6. Lahcene Makhloufi & László Vasa & Joanna Rosak-Szyrocka & Farouk Djermani, 2023. "Understanding the Impact of Big Data Analytics and Knowledge Management on Green Innovation Practices and Organizational Performance: The Moderating Effect of Government Support," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
  7. Erdsiek, Daniel & Rost, Vincent, 2022. "Datenbewirtschaftung in deutschen Unternehmen: Umfrageergebnisse zu Status-quo und mittelfristigem Ausblick," ZEW Expert Briefs 22-09, ZEW - Leibniz Centre for European Economic Research.
  8. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
  9. Erdsiek, Daniel & Rost, Vincent, 2024. "Data Sharing von Unternehmen: Umfrageergebnisse zu möglichen Anreizen," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 296876, March.
  10. Thomä, Jörg & Bischoff, Thore S., 2022. "From automation to databased business models - digitalization and its links to innovation in small and medium-sized enterprises," ifh Working Papers 31/2022, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh), revised 2022.
  11. Delera, Michele & Pietrobelli, Carlo & Calza, Elisa & Lavopa, Alejandro, 2022. "Does value chain participation facilitate the adoption of Industry 4.0 technologies in developing countries?," World Development, Elsevier, vol. 152(C).
  12. Guixiang Cao & Xintong Fang & Ying Chen & Jinghuai She, 2023. "Regional Big Data Application Capability and Firm Green Technology Innovation," Sustainability, MDPI, vol. 15(17), pages 1-29, August.
  13. Genghua Tang & Hongxun Mai, 2022. "How Does Manufacturing Intelligentization Influence Innovation in China from a Nonlinear Perspective and Economic Servitization Background?," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  14. Mihai BOGDAN & Anca BORZA, 2019. "Big Data Analytics and Organizational Performance: A Meta-Analysis Study," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 4(2), pages 1-13, June.
  15. Wang, Li & Wu, Yuhan & Huang, Zeyu & Wang, Yanan, 2024. "Big data application and corporate investment decisions: Evidence from A-share listed companies in China," International Review of Financial Analysis, Elsevier, vol. 94(C).
  16. Wenjun Xie & Renxiang Wang, 2024. "Application of data elements in the coupling of finance and technology on the digital electronic platform," Electronic Commerce Research, Springer, vol. 24(2), pages 1435-1460, June.
  17. Antonioli, Davide & Marzucchi, Alberto & Rentocchini, Francesco & Vannuccini, Simone, 2024. "Robot adoption and product innovation," Research Policy, Elsevier, vol. 53(6).
  18. Hua Zhang & Shaofeng Yuan, 2023. "How and When Does Big Data Analytics Capability Boost Innovation Performance?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
  19. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  20. Oduro, Stephen & De Nisco, Alessandro & Mainolfi, Giada, 2023. "Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus," Technovation, Elsevier, vol. 128(C).
  21. Bäck, Asta & Hajikhani, Arash & Jäger, Angela & Schubert, Torben & Suominen, Arho, 2022. "Return of the Solow-paradox in AI? AI-adoption and firm productivity," Papers in Innovation Studies 2022/1, Lund University, CIRCLE - Centre for Innovation Research.
  22. Ying Yang, 2023. "Sustainability Analysis of Enterprise Performance Management Driven by Big Data and Internet of Things," Sustainability, MDPI, vol. 15(6), pages 1-11, March.
  23. Tomohiko Sakao & Abhijna Neramballi, 2020. "A Product/Service System Design Schema: Application to Big Data Analytics," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
  24. Mihai BOGDAN & Anca BORZA, 2020. "Big Data Analytics And Firm Performance: A Text Mining Approach," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 549-560, November.
  25. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
  26. Raphaela Andres & Timothy DeStefano & Thomas Niebel & Steffen Viete, 2020. "Capital incentive policies in the age of cloud computing: An empirical case study," OECD Science, Technology and Industry Working Papers 2020/07, OECD Publishing.
  27. Tao Feng, 2023. "Do Intelligent Manufacturing Concerns Promote Corporate Sustainability? Based on the Perspective of Green Innovation," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
  28. Mironov, V. & Kuznetsov, A. & Konovalova, L., 2024. "On the sectoral effects of digitalization based on new indicators by type of economic activity," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 143-179.
  29. Mihai BOGDAN & Anca BORZA, 2019. "Big Data Analytics As A Strategic Capability: A Systematic Review," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 575-583, November.
  30. Korayim, Diana & Chotia, Varun & Jain, Girish & Hassan, Sharfa & Paolone, Francesco, 2024. "How big data analytics can create competitive advantage in high-stake decision forecasting? The mediating role of organizational innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  31. Sarbu, Miruna, 2022. "The impact of industry 4.0 on innovation performance: Insights from German manufacturing and service firms," Technovation, Elsevier, vol. 113(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.