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Does big data enhance firm innovation competency? The mediating role of data-driven insights
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- Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
- Mohammad Taghi Taghavifard & Setareh Majidian, 2022. "Identifying Cloud Computing Risks based on Firm’s Ambidexterity Performance using Fuzzy VIKOR Technique," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 113-133, March.
- Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
- Carolina Rojas-Córdova & Amanda J. Williamson & Julio A. Pertuze & Gustavo Calvo, 2023. "Why one strategy does not fit all: a systematic review on exploration–exploitation in different organizational archetypes," Review of Managerial Science, Springer, vol. 17(7), pages 2251-2295, October.
- 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.
- Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Management, Strategy and Innovation, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2021. "Artificial intelligence and industrial innovation: Evidence from firm-level data," ZEW Discussion Papers 21-036, ZEW - Leibniz Centre for European Economic Research.
- Ludivine Ravat & Aurélie Hemonnet-Goujot & Sandrine Hollet-Haudebert, 2023. "Data-driven innovation capability of marketing: an exploratory study of its components and underlying processes," Post-Print hal-04151199, HAL.
- Peipei Qi & Dandan Sun & Can Xu & Qiang Li & Qi Wang, 2023. "Can Data Elements Promote the High-Quality Development of China’s Economy?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
- Igna, Ioana & Venturini, Francesco, 2023.
"The determinants of AI innovation across European firms,"
Research Policy, Elsevier, vol. 52(2).
- Igna, Ioana & Venturini, Francesco, 2022. "The determinants of AI innovation across European firms," Papers in Innovation Studies 2022/3, Lund University, CIRCLE - Centre for Innovation Research.
- 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.
- Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2022. "Artificial intelligence and firm-level productivity," ZEW Discussion Papers 22-005, ZEW - Leibniz Centre for European Economic Research.
- Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
- Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
- Suqin Liao & Qianying Hu & Jingjing Wei, 2023. "How to Leverage Big Data Analytic Capabilities for Innovation Ambidexterity: A Mediated Moderation Model," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
- Wang, Zhangyuan & Zhao, Xudong & Han, Zhonghe & Luo, Liang & Xiang, Jinwei & Zheng, Senglin & Liu, Guangming & Yu, Min & Cui, Yu & Shittu, Samson & Hu, Menglong, 2021. "Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study," Applied Energy, Elsevier, vol. 294(C).
- Lu Liu & Yuxin Meng & Qiying Ran, 2023. "The Impact and Mechanism of the Digital Economy on Carbon Emission Efficiency: A Perspective Based on Provincial Panel Data in China," Sustainability, MDPI, vol. 15(19), pages 1-15, September.
- Shah, Tushar R., 2022. "Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry," Technology in Society, Elsevier, vol. 68(C).
- Huaping Guan & Binhua Guo & Jianwu Zhang, 2022. "Study on the Impact of the Digital Economy on the Upgrading of Industrial Structures—Empirical Analysis Based on Cities in China," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
- Michael Song & Haili Zhang & Jinjin Heng, 2020. "Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
- Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
- 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.
- Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
- Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
- Zhu, Xiumei & Li, Yue, 2023. "The use of data-driven insight in ambidextrous digital transformation: How do resource orchestration, organizational strategic decision-making, and organizational agility matter?," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
- Zhengang Zhang & Yu Shang & Linyuan Cheng & Antao Hu, 2022. "Big Data Capability and Sustainable Competitive Advantage: The Mediating Role of Ambidextrous Innovation Strategy," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
- Sleep, Stefan & Gala, Prachi & Harrison, Dana E., 2023. "Removing silos to enable data-driven decisions: The importance of marketing and IT knowledge, cooperation, and information quality," Journal of Business Research, Elsevier, vol. 156(C).
- Carioli, Paolo & Czarnitzki, Dirk & Fernández, Gastón P., 2024. "Evidence on the adoption of Artificial Intelligence: The role of skills shortage," ZEW Discussion Papers 24-013, ZEW - Leibniz Centre for European Economic Research.
- 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).
- Calic, Goran & Ghasemaghaei, Maryam, 2021. "Big data for social benefits: Innovation as a mediator of the relationship between big data and corporate social performance," Journal of Business Research, Elsevier, vol. 131(C), pages 391-401.
- Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
- Martín-Rojas, Rodrigo & Garrido-Moreno, Aurora & García-Morales, Víctor J., 2020. "Fostering Corporate Entrepreneurship with the use of social media tools," Journal of Business Research, Elsevier, vol. 112(C), pages 396-412.
- Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
- Ghasemaghaei, Maryam & Calic, Goran, 2020. "Assessing the impact of big data on firm innovation performance: Big data is not always better data," Journal of Business Research, Elsevier, vol. 108(C), pages 147-162.
- Sultana, Saida & Akter, Shahriar & Kyriazis, Elias, 2022. "How data-driven innovation capability is shaping the future of market agility and competitive performance?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
- Wu, Linfei & Sun, Liwen & Chang, Qing & Zhang, Die & Qi, Peixiao, 2022. "How do digitalization capabilities enable open innovation in manufacturing enterprises? A multiple case study based on resource integration perspective," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Saeed, Abubakr & Riaz, Hammad & Baloch, Muhammad Saad, 2022. "Does big data utilization improve firm legitimacy?," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
- Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).