Fabio Zambuto

Personal Details

First Name:	Fabio
Middle Name:
Last Name:	Zambuto
Suffix:
RePEc Short-ID:	pza430
	[This author has chosen not to make the email address public]

Affiliation

Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/
RePEc:edi:bdigvit (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Fabio Zambuto & Simona Arcuti & Roberto Sabatini & Daniele Zambuto, 2021. "Application of classification algorithms for the assessment of confirmation to quality remarks," Questioni di Economia e Finanza (Occasional Papers) 631, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.

2. Fabio Zambuto & Maria Rosaria Buzzi & Giuseppe Costanzo & Marco Di Lucido & Barbara La Ganga & Pasquale Maddaloni & Fabio Papale & Emiliano Svezia, 2020. "Quality checks on granular banking data: an experimental approach based on machine learning?," Questioni di Economia e Finanza (Occasional Papers) 547, Bank of Italy, Economic Research and International Relations Area.
   • Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.

   Cited by:

   1. Massimo Casa & Laura Graziani Palmieri & Laura Mellone & Francesca Monacelli, 2022. "The integrated approach adopted by Bank of Italy in the collection and production of credit and financial data," Questioni di Economia e Finanza (Occasional Papers) 667, Bank of Italy, Economic Research and International Relations Area.
   2. Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023. "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
      • Pasquale Maddaloni & Davide Nicola Continanza & Andrea del Monaco & Daniele Figoli & Marco di Lucido & Filippo Quarta & Giuseppe Turturiello, 2022. "Stacking machine-learning models for anomaly detection: comparing AnaCredit to other banking datasets," Questioni di Economia e Finanza (Occasional Papers) 689, Bank of Italy, Economic Research and International Relations Area.
   3. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2021. "Learning from revisions: a tool for detecting potential errors in banks' balance sheet statistical reporting," Questioni di Economia e Finanza (Occasional Papers) 611, Bank of Italy, Economic Research and International Relations Area.
   4. Fabio Zambuto & Simona Arcuti & Roberto Sabatini & Daniele Zambuto, 2021. "Application of classification algorithms for the assessment of confirmation to quality remarks," Questioni di Economia e Finanza (Occasional Papers) 631, Bank of Italy, Economic Research and International Relations Area.
   5. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.

Articles

1. Byungchul Choi & M. V. Shyam Kumar & Fabio Zambuto, 2016. "Capital Structure and Innovation Trajectory: The Role of Debt in Balancing Exploration and Exploitation," Organization Science, INFORMS, vol. 27(5), pages 1183-1201, October.

   Cited by:

   1. Wei Jiang & Aric Xu Wang & Kevin Zheng Zhou & Chuang Zhang, 2020. "Stakeholder Relationship Capability and Firm Innovation: A Contingent Analysis," Journal of Business Ethics, Springer, vol. 167(1), pages 111-125, November.
   2. Raffaele Morandi Stagni & Andrea Fosfuri & Juan Santaló, 2021. "A bird in the hand is worth two in the bush: Technology search strategies and competition due to import penetration," Strategic Management Journal, Wiley Blackwell, vol. 42(8), pages 1516-1544, August.
   3. Mircea Epure & Martí Guasch, 2016. "Debt Signaling and Outside Investors in Early Stage Firms," Working Papers 941, Barcelona School of Economics.
      • Epure, Mircea & Guasch, Martí, 2020. "Debt signaling and outside investors in early stage firms," Journal of Business Venturing, Elsevier, vol. 35(2).
      • Mircea Epure & Martí Guasch, 2015. "Debt signaling and outside investors in early stage firms," Economics Working Papers 1546, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2019.
   4. Whan Shin & Byungchul Choi, 2022. "Digital Competency, Innovative Medical Research, and Institutional Environment: A Global Context," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
   5. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
   6. Yanyang Yan & Juan Wang & Sijia Qiao, 2022. "Effects of Industrial Policy on Firms’ Innovation Outputs: Evidence From China," SAGE Open, , vol. 12(3), pages 21582440221, September.
   7. Qiankun Meng & Yupei Liu & Wei’an Li & Mingshan Yu, 2023. "Bonding or Indulgence? The Role of Overborrowing on Firms’ Innovation: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
   8. Michael Greiner & Jing Sun, 2021. "How corporate social responsibility can incentivize top managers: A commitment to sustainability as an agency intervention," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(4), pages 1360-1375, July.
   9. Peng Xu & Guiyu Bai, 2019. "Board Governance, Sustainable Innovation Capability and Corporate Expansion: Empirical Data from Private Listed Companies in China," Sustainability, MDPI, vol. 11(13), pages 1-17, June.
   10. Abigail Allen & Melissa F. Lewis‐Western & Kristen Valentine, 2022. "The Innovation and Reporting Consequences of Financial Regulation for Young Life‐Cycle Firms," Journal of Accounting Research, Wiley Blackwell, vol. 60(1), pages 45-95, March.
   11. Park, Jinho & Choi, Byungchul & Huang, Wei, 2023. "Innovation under debtor-friendly institutional policy: Strategic patenting perspective of Chinese listed firms," International Review of Financial Analysis, Elsevier, vol. 89(C).
   12. José Manuel Santos‐Jaén & Antonia Madrid‐Guijarro & Domingo García‐Pérez‐de‐Lema, 2021. "The impact of corporate social responsibility on innovation in small and medium‐sized enterprises: The mediating role of debt terms and human capital," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(4), pages 1200-1215, July.
   13. Jeoung Yul Lee & Daekwan Kim & Byungchul Choi & Alfredo Jiménez, 2023. "Early evidence on how Industry 4.0 reshapes MNEs’ global value chains: The role of value creation versus value capturing by headquarters and foreign subsidiaries," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(4), pages 599-630, June.
   14. Whan Shin, 2022. "Evenly Is Even Better? Digital Competitiveness and the Quality of Medical Research," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
   15. Jeoung Yul Lee & Vasyl Taras & Alfredo Jiménez & Byungchul Choi & Chinmay Pattnaik, 2020. "Ambidextrous Knowledge Sharing within R&D Teams and Multinational Enterprise Performance: The Moderating Effects of Cultural Distance in Uncertainty Avoidance," Management International Review, Springer, vol. 60(3), pages 387-425, June.
   16. Xiao, Fenglong, 2022. "Non-competes and innovation: Evidence from medical devices," Research Policy, Elsevier, vol. 51(6).

2. Paolo Roma & Fabio Zambuto & Gandolfo Dominici, 2015. "An empirical analysis of online price dispersion in the Italian airline industry," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 6(4), pages 339-358.

   Cited by:

   1. Huang, Zhibin & Yong, Jianming & Ma, Wenliang & Chen, Mengying & Xiong, Zihan & Shrestha, Anup, 2022. "Internet penetration and airline pricing: Evidence from China," Transport Policy, Elsevier, vol. 123(C), pages 104-111.
   2. van Cranenburgh, Sander & Chorus, Caspar G., 2017. "Willingness to Pay-inference in the absence of rejected propositions," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 35-42.
   3. Ma, Wenliang & Wang, Qiang & Yang, Hangjun & Zhang, Guoquan & Zhang, Yahua, 2020. "Understanding airline price dispersion in the presence of high-speed rail," Transport Policy, Elsevier, vol. 95(C), pages 93-102.

3. Roma, Paolo & Zambuto, Fabio & Perrone, Giovanni, 2014. "Price dispersion, competition, and the role of online travel agents: Evidence from business routes in the Italian airline market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 146-159.

   Cited by:

   1. Zhang, Yi & Hua, Guowei & Cheng, T.C.E. & Zhang, Juliang & Fernandez, Vicenc, 2020. "Risk pooling through physical probabilistic selling," International Journal of Production Economics, Elsevier, vol. 219(C), pages 295-311.
   2. Jana Prodanova & Sonia San-Martín & Nadia Jiménez, 2017. "Enfoque teórico multidisciplinar para la provisión electrónica de servicios," DOCFRADIS Working Papers 1705, Catedra Fundación Ramón Areces de Distribución Comercial, revised Oct 2017.
   3. Buckley, R. & Mossaz, A.C., 2016. "Decision making by specialist luxury travel agents," Tourism Management, Elsevier, vol. 55(C), pages 133-138.
   4. Siti Aishah Ya'cob & Huong Kui Sieng, 2020. "The Features of Online Tourism Information towards Young Traveler Satisfaction: A Case of Kuching the City of Unity," Journal of Public Administration and Governance, Macrothink Institute, vol. 10(4), pages 250262-2502, December.
   5. Ma, Wenliang & Wang, Qiang & Yang, Hangjun & Zhang, Guoquan & Zhang, Yahua, 2020. "Understanding airline price dispersion in the presence of high-speed rail," Transport Policy, Elsevier, vol. 95(C), pages 93-102.
   6. Zhang, Li-Hao & Liu, Chunxiao & Zhang, Cheng & Wang, Shanshan, 2023. "Upstream encroachment and downstream outsourcing in competing shipping supply chains," International Journal of Production Economics, Elsevier, vol. 255(C).
   7. Roma, Paolo & Vasi, Maria, 2019. "Diversification and performance in the mobile app market: The role of the platform ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 123-139.
   8. Roma, Paolo & Panniello, Umberto & Lo Nigro, Giovanna, 2019. "Sharing economy and incumbents' pricing strategy: The impact of Airbnb on the hospitality industry," International Journal of Production Economics, Elsevier, vol. 214(C), pages 17-29.
   9. Meire, Sarah & Derudder, Ben, 2021. "Virtual interlining within the European airport network: An airfare analysis," Journal of Air Transport Management, Elsevier, vol. 94(C).
   10. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
   11. Tomasz Stanisław Szopiński & Robert Nowacki, 2015. "The Influence of Purchase Date and Flight Duration over the Dispersion of Airline Ticket Prices," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(3), September.

Chapters

1. Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.
   • Fabio Zambuto & Maria Rosaria Buzzi & Giuseppe Costanzo & Marco Di Lucido & Barbara La Ganga & Pasquale Maddaloni & Fabio Papale & Emiliano Svezia, 2020. "Quality checks on granular banking data: an experimental approach based on machine learning?," Questioni di Economia e Finanza (Occasional Papers) 547, Bank of Italy, Economic Research and International Relations Area.
   See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BIG: Big Data (2) 2020-04-06 2021-08-16
2. NEP-CMP: Computational Economics (2) 2020-04-06 2021-08-16
3. NEP-ISF: Islamic Finance (1) 2021-08-16
4. NEP-PAY: Payment Systems and Financial Technology (1) 2020-04-06

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