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Data Analytics, Innovation, and Firm Productivity

Citations

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Cited by:

  1. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
  2. Brea, Edgar & Ford, Jerad A., 2023. "No silver bullet: Cognitive technology does not lead to novelty in all firms," Technovation, Elsevier, vol. 122(C).
  3. Kraft, Kornelius & Rammer, Christian, 2023. "Intended and unintended knowledge spillovers in innovation," ZEW Discussion Papers 23-015, ZEW - Leibniz Centre for European Economic Research.
  4. Wang, Sai & Wen, Wen & Niu, Yuhao & Li, Xin, 2024. "Digital transformation and corporate labor investment efficiency," Emerging Markets Review, Elsevier, vol. 59(C).
  5. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
  6. Maximilian Klöckner & Christoph G. Schmidt & Stephan M. Wagner, 2022. "When Blockchain Creates Shareholder Value: Empirical Evidence from International Firm Announcements," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 46-64, January.
  7. Sobrie, Léon & Verschelde, Marijn & Hennebel, Veerle & Roets, Bart, 2023. "Capturing complexity over space and time via deep learning: An application to real-time delay prediction in railways," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1201-1217.
  8. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  9. Cherchye, Laurens & Rock, Bram De & Saelens, Dieter & Verschelde, Marijn & Roets, Bart, 2024. "Productive efficiency analysis with unobserved inputs: An application to endogenous automation in railway traffic management," European Journal of Operational Research, Elsevier, vol. 313(2), pages 678-690.
  10. Chen, Yufeng & Xu, Jing, 2023. "Digital transformation and firm cost stickiness: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
  11. Christian Peukert & Florian Abeillon & J'er'emie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," Papers 2404.18445, arXiv.org.
  12. Jing Li & Daniel Shapiro & Anastasia Ufimtseva, 2024. "Regulating inbound foreign direct investment in a world of hegemonic rivalry: the evolution and diffusion of US policy," Journal of International Business Policy, Palgrave Macmillan, vol. 7(2), pages 147-165, June.
  13. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  14. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2022. "Robots, Digitalization, and Worker Voice," GLO Discussion Paper Series 1038, Global Labor Organization (GLO).
  15. Ricardo Alonso & Odilon Câmara, 2024. "Organizing Data Analytics," Management Science, INFORMS, vol. 70(5), pages 3123-3143, May.
  16. Wong, David T.W. & Ngai, Eric W.T., 2023. "The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 265(C).
  17. Christoph Grimpe & Wolfgang Sofka & Ulrich Kaiser, 2023. "Competing for digital human capital: The retention effect of digital expertise in MNC subsidiaries," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(4), pages 657-685, June.
  18. Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
  19. Christian Peukert & Imke Reimers, 2022. "Digitization, Prediction, and Market Efficiency: Evidence from Book Publishing Deals," Management Science, INFORMS, vol. 68(9), pages 6907-6924, September.
  20. Joan Torrent‐Sellens & Pilar Ficapal‐Cusí & Mihaela Enache‐Zegheru, 2023. "Boosting environmental management: The mediating role of Industry 4.0 between environmental assets and economic and social firm performance," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 753-768, January.
  21. 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).
  22. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
  23. Sam Ruiqing Cao & Marco Iansiti, 2022. "Organizational Barriers to Transforming Large Finance Corporations: Cloud Adoption and the Importance of Technological Architecture," CESifo Working Paper Series 10142, CESifo.
  24. Xu, Yong & Ji, Junzhe & Li, Nicolas & Borah, Dhruba, 2024. "How do executive excess compensation affect enterprise technological innovation: Evidence from a panel threshold model of chinese biopharmaceutical companies," Journal of Business Research, Elsevier, vol. 179(C).
  25. Burdin, Gabriel & Dughera, Stefano & Landini, Fabio & Belloc, Filippo, 2023. "Contested Transparency: Digital Monitoring Technologies and Worker Voice," GLO Discussion Paper Series 1340, Global Labor Organization (GLO).
  26. Bin Fang & Xinming Liu & Chen Ma & Yusang Zhuo, 2023. "Blockchain technology adoption and accounting information quality," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4125-4156, December.
  27. Alessandra Colombelli & Elettra D’Amico & Emilio Paolucci, 2023. "When computer science is not enough: universities knowledge specializations behind artificial intelligence startups in Italy," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1599-1627, October.
  28. Liang, Shuang & Tan, Qingmei, 2024. "Can the digital economy accelerates China's export technology upgrading? Based on the perspective of export technology complexity," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  29. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  30. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  31. Liu, Jingling & Chen, Yanying & Liang, Feng Helen, 2023. "The effects of digital economy on breakthrough innovations: Evidence from Chinese listed companies," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  32. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  33. Xiaoli Wang & Ying Gu & Mahmood Ahmad & Chaokai Xue, 2022. "The Impact of Digital Capability on Manufacturing Company Performance," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
  34. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  35. Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
  36. Abhijith Anand & Rajeev Sharma & Rajiv Kohli, 2020. "The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search," Information Systems Research, INFORMS, vol. 31(4), pages 1144-1163, December.
  37. Syed Abdul Rehman Khan & Danish Iqbal Godil & Munaza Bibi & Zhang Yu & Syed Muhammad Ahsan Rizvi, 2021. "The Economic and Social Impact of Teleworking in Romania: Present Practices and Post Pandemic Developments," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 787-787, August.
  38. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
  39. Li, Weiping & Li, Tingyu & Jiang, Dequan & Zhang, Xuezhi, 2024. "Bridging the information gap: How digitalization shapes stock price informativeness," Journal of Financial Stability, Elsevier, vol. 71(C).
  40. Feng Guo & Yijun Li & Likoebe M. Maruping & Adi Masli, 2023. "Complementarity Between Investment in Information Technology (IT) and IT Human Resources: Implications for Different Types of Firm Innovation," Information Systems Research, INFORMS, vol. 34(3), pages 1259-1275, September.
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