Jorge Sainz

Personal Details

First Name:	Jorge
Middle Name:
Last Name:	Sainz
Suffix:
RePEc Short-ID:	psa378
	http://www.economiaaplicada.com

Affiliation

Departamento de Economía Aplicada I
Universidad Rey Juan Carlos

Madrid, Spain
https://gestion2.urjc.es/pdi/departamento/Y164
RePEc:edi:darjces (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. Brindusa Anghel & Antonio Cabrales & Jorge Sainz & Ismael Sanz, 2013. "Publicizing the results of standardized external tests: Does it have an effect on school outcomes?," Working Papers 2013-01, FEDEA.
   • Brindusa Anghel & Antonio Cabrales & Jorge Sainz & Ismael Sanz, 2015. "Publicizing the results of standardized external tests: does it have an effect on school outcomes?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
   • Anghel, Brindusa & Sanz, Ismael & Cabrales, Antonio & Sainz, Jorge, 2012. "Publicizing the results of standardized external tests : does it have an effect on school outcomes?," UC3M Working papers. Economics we1234, Universidad Carlos III de Madrid. Departamento de Economía.

   Cited by:

   1. Sergi Jiménez-Martín, 2014. "The Incentive Effects of Minimum Pensions: extended version," Working Papers 2014-04, FEDEA.
   2. Martinez de Lafuente, David, 2021. "Cultural Assimilation and Ethnic Discrimination: An Audit Study with Schools," Labour Economics, Elsevier, vol. 72(C).
   3. Francisco Pedraja-Chaparro & Daniel Santín & Rosa Simancas, 2022. "Show me the money! The impact of a conditional cash transfer on educational achievement," Empirical Economics, Springer, vol. 63(5), pages 2721-2750, November.
   4. Cordero, José Manuel & Cristobal, Victor & Santín, Daniel, 2017. "Causal Inference on Education Policies: A Survey of Empirical Studies Using PISA, TIMSS and PIRLS," MPRA Paper 76295, University Library of Munich, Germany.
      • José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
   5. Nunes, Luis C. & Reis, Ana Balcão & Seabra, Carmo, 2015. "The publication of school rankings: A step toward increased accountability?," Economics of Education Review, Elsevier, vol. 49(C), pages 15-23.
   6. Jesús Fernández-Huertas Moraga, 2014. "Immigrant Selection over the Business Cycle: The Spanish Boom and the Great Recession," Working Papers 2014-05, FEDEA.

2. Brindusa Anghel & Antonio Cabrales & Jorge Sainz & Ismael Sanz, 2013. "Publicación de los resultados de las pruebas estandarizadas externas: ¿Tiene ello un efecto sobre los resultados escolares?," Working Papers 2013-07, FEDEA.

   Cited by:

   1. Ángel de la Fuente & Rafael Doménech, 2014. "Educational Attainmet in the OECD, 1960-2010 (version 3.1)," Working Papers 2014-14, FEDEA.

Articles

1. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.

   Cited by:

   1. Ballestar, María Teresa & Mir, Miguel Cuerdo & Pedrera, Luis Miguel Doncel & Sainz, Jorge, 2024. "Effectiveness of tutoring at school: A machine learning evaluation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
   2. Traverso, Silvio & Vatiero, Massimiliano & Zaninotto, Enrico, 2024. "Automation and flexible labor contracts: Firm-level evidence from Italy," GLO Discussion Paper Series 1425, Global Labor Organization (GLO).
   3. Zhu, Minghao & Liang, Chen & Yeung, Andy C.L. & Zhou, Honggeng, 2024. "The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies," International Journal of Production Economics, Elsevier, vol. 267(C).

2. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

   Cited by:

   1. Şemsettin Çiğdem & Ieva Meidute-Kavaliauskiene & Bülent Yıldız, 2023. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees," Logistics, MDPI, vol. 7(1), pages 1-18, March.
   2. 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.
   3. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
   4. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
   5. Yoruk, Esin & Radosevic, Slavo & Fischer, Bruno, 2023. "Technological profiles, upgrading and the dynamics of growth: Country-level patterns and trajectories across distinct stages of development," Research Policy, Elsevier, vol. 52(8).
   6. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   7. Bo Chen & Dong Tan, 2023. "Industrial Robots and the Employment Quality of Migrant Workers in the Manufacturing Industry," Sustainability, MDPI, vol. 15(10), pages 1-21, May.

3. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.

   Cited by:

   1. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
   2. Guarascio, Dario & Piccirillo, Alessandro & Reljic, Jelena, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," GLO Discussion Paper Series 1395, Global Labor Organization (GLO).
      • Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
      • Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," Working Papers in Public Economics 245, University of Rome La Sapienza, Department of Economics and Law.
   3. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
   4. Natália Barbosa & Ana Paula faria, 2022. "Digital adoption and productivity: understanding micro drivers of the aggregate effect," GEE Papers 0162, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jun 2022.
   5. 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).
   6. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
      • Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
   7. Petković, Saša & Rastoka, Jelica & Radicic, Dragana, 2023. "Impact of innovation and exports on productivity: are there complementary effects?," LSE Research Online Documents on Economics 119329, London School of Economics and Political Science, LSE Library.
      • Saša Petković & Jelica Rastoka & Dragana Radicic, 2023. "Impact of Innovation and Exports on Productivity: Are There Complementary Effects?," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
   8. Xiekui Zhang & Hongfei Zhu, 2023. "The Impact of Industrial Intelligence on Carbon Emissions: Evidence from the Three Largest Economies," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
   9. Brache, Jose & Callagher, Lisa & Husted, Kenneth, 2022. "The effects of interfirm cooperation purpose on export performance: Choosing between local and overseas partners," Journal of Business Research, Elsevier, vol. 148(C), pages 12-22.
   10. Rakshit, Sandip & Islam, Nazrul & Mondal, Sandeep & Paul, Tripti, 2021. "Mobile apps for SME business sustainability during COVID-19 and onwards," Journal of Business Research, Elsevier, vol. 135(C), pages 28-39.
   11. Andre Jungmittag, 2021. "Robotisation of the manufacturing industries in the EU: Convergence or divergence?," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1269-1290, October.
   12. Alguacil Marí, María Teresa & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2020. "What is so special about robots and trade?," University of Göttingen Working Papers in Economics 410, University of Goettingen, Department of Economics.
   13. Alena Pauliková & Zdenka Gyurák Babeľová & Monika Ubárová, 2021. "Analysis of the Impact of Human–Cobot Collaborative Manufacturing Implementation on the Occupational Health and Safety and the Quality Requirements," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
   14. 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.
   15. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
       • Eder, Andreas & Koller, Wolfgang & Mahlberg, Bernhard, 2022. "The contribution of industrial robots to labor productivity growth and economic convergence: A production frontier approach," MPRA Paper 113126, University Library of Munich, Germany.
       • Eder, A. & Koller, W. & Mahlberg, B., "undated". "The contribution of industrial robots to labor productivity growth and economic convergence: A production frontier approach," Working Papers 4, International Society for Efficiency and Productivity Analysis.
   16. Christou, Prokopis & Hadjielias, Elias & Simillidou, Aspasia & Kvasova, Olga, 2023. "The use of intelligent automation as a form of digital transformation in tourism: Towards a hybrid experiential offering," Journal of Business Research, Elsevier, vol. 155(PB).
   17. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
   18. Zhang, Yi & Wang, Ting & Liu, Chun, 2024. "Beyond the modern productivity paradox: The effect of robotics technology on firm-level total factor productivity in China," Journal of Asian Economics, Elsevier, vol. 90(C).
   19. Sun, Wenyuan & Zhang, Zhonghui & Chen, Yang & Luan, Fushu, 2023. "Heterogeneous effects of robots on employment in agriculture, industry, and services sectors," Technology in Society, Elsevier, vol. 75(C).
   20. Zhao, Yantong & Said, Rusmawati & Ismail, Normaz Wana & Hamzah, Hanny Zurina, 2024. "Impact of industrial robot on labour productivity: Empirical study based on industry panel data," Innovation and Green Development, Elsevier, vol. 3(2).
   21. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
   22. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
   23. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
   24. Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
   25. Beldina Owalla & Cristian Gherhes & Tim Vorley & Chay Brooks, 2022. "Mapping SME productivity research: a systematic review of empirical evidence and future research agenda," Small Business Economics, Springer, vol. 58(3), pages 1285-1307, March.
   26. Shutong Zhang & Jun Nagayasu, 2023. "Regional Policies’ Impacts on Urban Migration:Evidence from Special Economic Zones in China," TUPD Discussion Papers 45, Graduate School of Economics and Management, Tohoku University.
   27. Cui, Huijie & Liang, Shangkun & Xu, Canyu & Junli, Yu, 2024. "Robots and analyst forecast precision: Evidence from Chinese manufacturing," International Review of Financial Analysis, Elsevier, vol. 94(C).
   28. Zoltan Csefalvay & Petros Gkotsis, 2020. "Global race for robotisation - Looking at the entire robotisation chain," JRC Research Reports JRC121184, Joint Research Centre.
   29. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   30. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
   31. Daria A. Starovatova, 2023. "The relationship between robots and labour productivity: Does business scale matter?," Journal of New Economy, Ural State University of Economics, vol. 24(1), pages 81-103, April.
   32. Li, Jianjun & Wu, Zhouyi & Yu, Kaijia & Zhao, Wei, 2024. "The effect of industrial robot adoption on firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).
   33. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
   34. Agata Marcysiak & Żanna Pleskacz, 2021. "Determinants of digitization in SMEs," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 300-318, September.
   35. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
       • Aleksandra Parteka & Aleksandra Kordalska, 2022. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," GUT FME Working Paper Series A 67, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
   36. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
   37. Gaglio, Cyrielle & Kraemer-Mbula, Erika & Lorenz, Edward, 2022. "The effects of digital transformation on innovation and productivity: Firm-level evidence of South African manufacturing micro and small enterprises," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
   38. Alguacil, Maite & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2022. "Robot adoption and export performance: Firm-level evidence from Spain," Economic Modelling, Elsevier, vol. 114(C).
   39. Qingyang Wu, 2023. "Sustainable growth through industrial robot diffusion: Quasi‐experimental evidence from a Bartik shift‐share design," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1107-1133, October.

4. Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).

   Cited by:

   1. Zhang, Hong & Nguyen, Hoang & Vu, Diep-Anh & Bui, Xuan-Nam & Pradhan, Biswajeet, 2021. "Forecasting monthly copper price: A comparative study of various machine learning-based methods," Resources Policy, Elsevier, vol. 73(C).
   2. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
   3. Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2022. "Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications," Food Policy, Elsevier, vol. 112(C).
      • Resce, Giuliano & Vaquero-Pineiro, Cristina, 2022. "Predicting Agri-food Quality across Space: A Machine Learning Model for the Acknowledgment of Geographical Indications," Economics & Statistics Discussion Papers esdp22082, University of Molise, Department of Economics.
   4. Mehmet Güney Celbiş & Pui-Hang Wong & Karima Kourtit & Peter Nijkamp, 2021. "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
   5. Sonja Radas & Andrea Mervar & Bruno Škrinjarić, 2020. "Regional Perspective on R&D Policies for SMEs: Does Success Breed Success?," Sustainability, MDPI, vol. 12(9), pages 1-25, May.
   6. Ghazinoory, Sepehr & Aghaei, Parvaneh, 2021. "Differences between policy assessment & policy evaluation; a case study on supportive policies for knowledge-based firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
   7. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   8. de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

5. María Teresa Ballestar & Pilar Grau-Carles & Jorge Sainz, 2019. "Predicting customer quality in e-commerce social networks: a machine learning approach," Review of Managerial Science, Springer, vol. 13(3), pages 589-603, June.

   Cited by:

   1. Ying Song & Octavio Escobar & Unai Arzubiaga & Alfredo De Massis, 2022. "The digital transformation of a traditional market into an entrepreneurial ecosystem," Review of Managerial Science, Springer, vol. 16(1), pages 65-88, January.
   2. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
   3. Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Impact of Artificial Intelligence Use on the E-Commerce in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 137-137, February.
   4. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
   5. Peng, Peng & Jacobs, Sofie & Cambré, Bart, 2022. "How to create more customer value in independent shops: A set-theoretic approach to value creation," Journal of Business Research, Elsevier, vol. 146(C), pages 241-250.
   6. Xu, Zhaoyi & Saleh, Joseph Homer, 2021. "Machine learning for reliability engineering and safety applications: Review of current status and future opportunities," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
   7. Sunčica Rogić & Ljiljana Kašćelan & Vladimir Kašćelan & Vladimir Đurišić, 2022. "Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution," Information Technology and Management, Springer, vol. 23(4), pages 315-333, December.
   8. Julián Chaparro-Peláez & Ángel Hernández-García & Ángel-José Lorente-Páramo, 2022. "May I have your attention, please? An investigation on opening effectiveness in e-mail marketing," Review of Managerial Science, Springer, vol. 16(7), pages 2261-2284, October.
   9. Wu, Chao, 2024. "Data privacy: From transparency to fairness," Technology in Society, Elsevier, vol. 76(C).
   10. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   11. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
   12. Marco Cioppi & Ilaria Curina & Barbara Francioni & Elisabetta Savelli, 2023. "Digital transformation and marketing: a systematic and thematic literature review," Italian Journal of Marketing, Springer, vol. 2023(2), pages 207-288, June.
   13. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
   14. Manuela Ingaldi & Robert Ulewicz, 2019. "How to Make E-Commerce More Successful by Use of Kano’s Model to Assess Customer Satisfaction in Terms of Sustainable Development," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
   15. Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
   16. Fatemeh Safara, 2022. "A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1525-1538, April.

6. Grau-Carles, Pilar & Doncel, Luis Miguel & Sainz, Jorge, 2019. "Stability in mutual fund performance rankings: A new proposal," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 337-346.

   Cited by:

   1. Kristiaan Kerstens & Paolo Mazza & Tiantian Ren & Ignace Van de Woestyne, 2021. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Working Papers 2021-EQM-03, IESEG School of Management.
      • Kerstens, Kristiaan & Mazza, Paolo & Ren, Tiantian & Van de Woestyne, Ignace, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Omega, Elsevier, vol. 113(C).
      • Kristiaan Kerstens & Paolo Mazza & Tiantian Ren & Ignace van de Woestyne, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Post-Print hal-03833261, HAL.
   2. Ying-Sing LIU & Liza LEE, 2022. "Are Modifications in the ETF's Investment Performance and Risks during the COVID-19 Pandemic Event?," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 23(1), pages 05-17, June.
   3. Jin Yuan & Xianghui Yuan, 2023. "A Comprehensive Method for Ranking Mutual Fund Performance," SAGE Open, , vol. 13(2), pages 21582440231, May.

7. Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2018. "Customer segmentation in e-commerce: Applications to the cashback business model," Journal of Business Research, Elsevier, vol. 88(C), pages 407-414.

   Cited by:

   1. Baoliang Hu & Wei Huang & Shuai Yan & Guang Liu & Tao Zhang, 2020. "Business Model Design and Customer Loyalty: The Mediating Role of Customer Citizenship Behavior," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
   2. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
   3. Ballestar, María Teresa & Mir, Miguel Cuerdo & Pedrera, Luis Miguel Doncel & Sainz, Jorge, 2024. "Effectiveness of tutoring at school: A machine learning evaluation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
   4. Tueanrat, Yanika & Papagiannidis, Savvas & Alamanos, Eleftherios, 2021. "Going on a journey: A review of the customer journey literature," Journal of Business Research, Elsevier, vol. 125(C), pages 336-353.
   5. Tueanrat, Yanika & Papagiannidis, Savvas & Alamanos, Eleftherios, 2021. "A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
   6. Afonso Vieira, Valter & Agnihotri, Raj & de Almeida, Marcos Inácio Severo & Lopes, Evandro Luiz, 2022. "How cashback strategies yield financial benefits for retailers: The mediating role of consumers’ program loyalty," Journal of Business Research, Elsevier, vol. 141(C), pages 200-212.
   7. Griva, Anastasia, 2022. "“I can get no e-satisfaction†. What analytics say? Evidence using satisfaction data from e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
   8. Xu, Lina & Roy, Abhijit, 2022. "Cashback as cash forward: The serial mediating effect of time/effort and money savings," Journal of Business Research, Elsevier, vol. 149(C), pages 30-37.
   9. Fatma M. Talaat & Abdussalam Aljadani & Bshair Alharthi & Mohammed A. Farsi & Mahmoud Badawy & Mostafa Elhosseini, 2023. "A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing," Mathematics, MDPI, vol. 11(18), pages 1-26, September.
   10. Ata Allah Taleizadeh & Alireza Mahmoudzade Varzi & Hadi Akbarzadeh Khorshidi & Mahsa Noori-daryan, 2024. "Retail pricing, cashback and refund decisions in a supply chain with e-shop and direct channels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 140-163, April.
   11. Kokkoris, Michail D. & Hoelzl, Erik & Kamleitner, Bernadette, 2020. "Self-found, spellbound: The sense of own discovery shapes customer bonds with service venues," Journal of Business Research, Elsevier, vol. 113(C), pages 303-316.
   12. Olha Fedirko & Tetiana Zatonatska & Tomasz Wolowiec & Stanislaw Skowron, 2021. "Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 3-16.
   13. Farid Huseynov & Sevgi Özkan Yıldırım, 2019. "Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms," SAGE Open, , vol. 9(2), pages 21582440198, May.
   14. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   15. Zuzana Svobodová & Jaroslava Rajchlová, 2020. "Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective," Administrative Sciences, MDPI, vol. 10(4), pages 1-24, October.
   16. Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
   17. Kessara Kanchanapoom & Jongsawas Chongwatpol, 2023. "Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 172-185, June.
   18. Joni Salminen & Mekhail Mustak & Muhammad Sufyan & Bernard J. Jansen, 2023. "How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 677-692, December.
   19. Lewlisa Saha & Hrudaya Kumar Tripathy & Soumya Ranjan Nayak & Akash Kumar Bhoi & Paolo Barsocchi, 2021. "Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review," Sustainability, MDPI, vol. 13(9), pages 1-35, May.
   20. Halpern, Nigel & Mwesiumo, Deodat & Budd, Thomas & Suau-Sanchez, Pere & Bråthen, Svein, 2021. "Segmentation of passenger preferences for using digital technologies at airports in Norway," Journal of Air Transport Management, Elsevier, vol. 91(C).

8. Marcos Vizcaíno-González & Juan Pineiro-Chousa & Jorge Sáinz-González, 2017. "Selecting explanatory factors of voting decisions by means of fsQCA and ANN," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2049-2061, September.

   Cited by:

   1. Bénet, Nathalie & Deville, Aude & Raïes, Karine & Valette-Florence, Pierre, 2022. "Turning non-financial performance measurements into financial performance: The usefulness of front-office staff incentive systems in hotels," Journal of Business Research, Elsevier, vol. 142(C), pages 317-327.
   2. López-Cabarcos, M. Ángeles & Vizcaíno-González, Marcos & López-Pérez, M. Luisa, 2023. "Gender diversity on boards: Determinants that underlie the proposals for female directors," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
   3. Drăgan, George Bogdan & Ben Arfi, Wissal & Tiberius, Victor & Ammari, Aymen, 2023. "Gravitating exogenous shocks to the next normal through entrepreneurial coopetive interactions: A PLS-SEM and fsQCA approach," Journal of Business Research, Elsevier, vol. 157(C).

9. Díaz-Chao, Ángel & Sainz-González, Jorge & Torrent-Sellens, Joan, 2016. "The competitiveness of small network-firm: A practical tool," Journal of Business Research, Elsevier, vol. 69(5), pages 1769-1774.

   Cited by:

   1. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
   2. Marco-Lajara, B. & Úbeda-García, M. & Zaragoza-Sáez, P. & Manresa-Marhuenda, E., 2023. "The impact of international experience on firm economic performance. The double mediating effect of green knowledge acquisition & eco-innovation," Journal of Business Research, Elsevier, vol. 157(C).
   3. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
   4. Alexander Kalita & Alexander Chepurenko, 2020. "Competitiveness of Small and Medium Businesses and Competitive Pressure in the Manufacturing Industry," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(2), pages 36-50.
   5. Williams Kwasi Peprah & Mensah Morris Ayaa, 2022. "The Convergence of Financial Decision, Business Strategy Through Organisational Competitiveness to Sustainable Competitive Advantage: A Conceptual Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(2), pages 1-87, February.
   6. Luis Enrique Valdez-Juárez & Domingo García-Pérez-de-Lema & Gonzalo Maldonado-Guzmán, 2018. "ICT and KM, Drivers of Innovation and Profitability in SMEs," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-34, March.
   7. Feng-Shang Wu & Chia-Chang Tsai, 2022. "A Framework of the Value Co-Creation Cycle in Platform Businesses: An Exploratory Case Study," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
   8. Anna KUKHARUK & Julia GAVRISH & Danyil ZMITROVYCH, 2017. "Managing the competitiveness in CIS countries and Ukraine: the goal and conditions," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 8, pages 115-136, June.
   9. Simone Bernardes Voese & Marcia Maria dos Santos Bortolocci Espejo & Mariana Planells, 2021. "Advance Demand Information as a Tool for Value Chain Planning of Biofortified Foods in Brazil," Journal of Agricultural Studies, Macrothink Institute, vol. 9(2), pages 421-444, June.
   10. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
   11. Ana Gálvez & Francisco Tirado & M. Jesús Martínez, 2020. "Work–Life Balance, Organizations and Social Sustainability: Analyzing Female Telework in Spain," Sustainability, MDPI, vol. 12(9), pages 1-21, April.
   12. Christopher Idemudia EBEGBETALE & Abdul-Hameed Adeola SULAIMON & Simeon Emezana IFERE, 2024. "Impact of Causation and Effectuation on Competitiveness among Nano Businesses in Nigeria," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 91-103, February.
   13. Drăgan, George Bogdan & Ben Arfi, Wissal & Tiberius, Victor & Ammari, Aymen, 2023. "Gravitating exogenous shocks to the next normal through entrepreneurial coopetive interactions: A PLS-SEM and fsQCA approach," Journal of Business Research, Elsevier, vol. 157(C).

10. Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2016. "Consumer behavior on cashback websites: Network strategies," Journal of Business Research, Elsevier, vol. 69(6), pages 2101-2107.

    Cited by:

    1. Afonso Vieira, Valter & Agnihotri, Raj & de Almeida, Marcos Inácio Severo & Lopes, Evandro Luiz, 2022. "How cashback strategies yield financial benefits for retailers: The mediating role of consumers’ program loyalty," Journal of Business Research, Elsevier, vol. 141(C), pages 200-212.
    2. María Teresa Ballestar & Pilar Grau-Carles & Jorge Sainz, 2019. "Predicting customer quality in e-commerce social networks: a machine learning approach," Review of Managerial Science, Springer, vol. 13(3), pages 589-603, June.
    3. Xu, Lina & Roy, Abhijit, 2022. "Cashback as cash forward: The serial mediating effect of time/effort and money savings," Journal of Business Research, Elsevier, vol. 149(C), pages 30-37.
    4. Ata Allah Taleizadeh & Alireza Mahmoudzade Varzi & Hadi Akbarzadeh Khorshidi & Mahsa Noori-daryan, 2024. "Retail pricing, cashback and refund decisions in a supply chain with e-shop and direct channels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 140-163, April.
    5. Ata Allah Taleizadeh & Alireza Mahmoudzade Varzi & Alireza Amjadian & Mahsa Noori-daryan & Ioannis Konstantaras, 2023. "How cash-back strategy affect sale rate under refund and customers’ credit," Operational Research, Springer, vol. 23(1), pages 1-69, March.
    6. Christino, Juliana Maria Magalhães & Silva, Thaís Santos & Cardozo, Erico Aurélio Abreu & de Pádua Carrieri, Alexandre & de Paiva Nunes, Patricia, 2019. "Understanding affiliation to cashback programs: An emerging technique in an emerging country," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 78-86.
    7. Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2018. "Customer segmentation in e-commerce: Applications to the cashback business model," Journal of Business Research, Elsevier, vol. 88(C), pages 407-414.

11. Díaz-Chao, Ángel & Sainz-González, Jorge & Torrent-Sellens, Joan, 2015. "ICT, innovation, and firm productivity: New evidence from small local firms," Journal of Business Research, Elsevier, vol. 68(7), pages 1439-1444.

    Cited by:

    1. Bravo-Ortega, Claudio & Egana-delSol, Pablo & Winkler-Sotomayor, Nicole, 2023. "Does the lack of resources matter in a dual economy: Decoding MSMEs productivity and growth," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 716-739.
    2. Jones, Calvin, 2018. "Broadband and Uneven Spatial Development: The Case of Cardiff City-Region," MPRA Paper 86636, University Library of Munich, Germany.
       • Calvin Jones & Dylan Henderson, 2019. "Broadband and uneven spatial development: The case of Cardiff City-Region," Local Economy, London South Bank University, vol. 34(3), pages 228-247, May.
    3. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    4. Shahnazi, Rouhollah, 2021. "Do information and communications technology spillovers affect labor productivity?," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 342-359.
    5. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    6. Lucía Muñoz-Pascual & Jesús Galende, 2020. "Ambidextrous Knowledge and Learning Capability: The Magic Potion for Employee Creativity and Sustainable Innovation Performance," Sustainability, MDPI, vol. 12(10), pages 1-27, May.
    7. Skorupinska, Aleksandra, 2017. "ICT, innovation and productivity: evidence based on Polish companies," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 13(1), pages 59-65, JUNE.
    8. Ștefan Andrei Neștian & Silviu Mihail Tiță & Elena-Sabina Turnea, 2020. "Using Mobile Phones at Work in Personal and Professional Information Processes," Sustainability, MDPI, vol. 12(3), pages 1-25, January.
    9. AFAWUBO, Komivi & NOGLO, Yawo Agbényégan, 2022. "ICT and entrepreneurship: A comparative analysis of developing, emerging and developed countries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Curado, Carla & Muñoz-Pascual, Lucía & Galende, Jesús, 2018. "Antecedents to innovation performance in SMEs: A mixed methods approach," Journal of Business Research, Elsevier, vol. 89(C), pages 206-215.
    11. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    12. Joseph K. Nwankpa & Jeffrey W. Merhout, 2020. "Exploring the Effect of Digital Investment on IT Innovation," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    13. Kelefa Mwantimwa, 2019. "ICT usage to enhance firms’ business processes in Tanzania," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-23, December.
    14. Yizhou Chu & Maomao Chi & Weijun Wang & Bo Luo, 2019. "The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    15. Sonja Radas & Andrea Mervar & Bruno Škrinjarić, 2020. "Regional Perspective on R&D Policies for SMEs: Does Success Breed Success?," Sustainability, MDPI, vol. 12(9), pages 1-25, May.
    16. Navyashree G. R. & Savita Bhat, 2016. "ICT Investments and Growth of Small and Medium Firms: A Study of Food Processing Industry in India," Working Papers id:11306, eSocialSciences.
    17. Annie Royer & Josée St-Pierre, 2020. "Facteurs qui entravent ou facilitent l’expansion des PME en croissance rapide de l’industrie bioalimentaire," CIRANO Project Reports 2020rp-37, CIRANO.
    18. Navyashree G. R. & Savita Bhat, 2018. "ICT Investments and Growth of Small and Medium Firms: A Study of Food Processing Industry in India," Working Papers id:12731, eSocialSciences.
    19. Ketan Reddy & Subash Sasidharan, 2023. "Digitalization and global value chain participation: firm-level evidence from Indian manufacturing," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 551-574, September.
    20. Gupta, Suraksha & Gallear, David & Rudd, John & Foroudi, Pantea, 2020. "The impact of brand value on brand competitiveness," Journal of Business Research, Elsevier, vol. 112(C), pages 210-222.
    21. Idrees Khawaja & Nasir Iqbal, 2019. "Determinants of Expansion of Micro and Small Firms and State of Entrepreneurship in Pakistan," PIDE-Working Papers 2019:160, Pakistan Institute of Development Economics.
    22. Orji Anthony & Ogbuabor Jonathan E. & Anthony-Orji Onyinye I. & Okoro Chinonso & Osondu Daniel, 2020. "Analysis of ICT, Power Supply and Human Capital Development in Nigeria as an Emerging Market Economy," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(4), pages 55-68, December.
    23. Beynon, Malcolm & Jones, Paul & Pickernell, David, 2016. "Country-level investigation of innovation investment in manufacturing: Paired fsQCA of two models," Journal of Business Research, Elsevier, vol. 69(11), pages 5401-5407.
    24. Scuotto, Veronica & Garcia-Perez, Alexeis & Nespoli, Chiara & Messeni Petruzzelli, Antonio, 2020. "A repositioning organizational knowledge dynamics by functional upgrading and downgrading strategy in global value chain," Journal of International Management, Elsevier, vol. 26(4).
    25. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    26. Marinella Boccia & Anna Maria Ferragina & Stefano Iandolo, 2022. "Follow the cloud! The impact of ICT on Italian provinces’ trade," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(4), pages 667-690, December.

12. Brindusa Anghel & Antonio Cabrales & Jorge Sainz & Ismael Sanz, 2015. "Publicizing the results of standardized external tests: does it have an effect on school outcomes?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    • Brindusa Anghel & Antonio Cabrales & Jorge Sainz & Ismael Sanz, 2013. "Publicizing the results of standardized external tests: Does it have an effect on school outcomes?," Working Papers 2013-01, FEDEA.
    • Anghel, Brindusa & Sanz, Ismael & Cabrales, Antonio & Sainz, Jorge, 2012. "Publicizing the results of standardized external tests : does it have an effect on school outcomes?," UC3M Working papers. Economics we1234, Universidad Carlos III de Madrid. Departamento de Economía.
    See citations under working paper version above.
13. Luis Miguel Doncel & Jorge Sainz & Ismael Sanz, 2012. "An Estimation of the Advantage of Charter over Public Schools," Kyklos, Wiley Blackwell, vol. 65(4), pages 442-463, November.

    Cited by:

    1. María Jesús Mancebón & Domingo P. Ximénez-de-Embún & Mauro Mediavilla & José María Gómez-Sancho, 2019. "Does the educational management model matter? New evidence from a quasiexperimental approach," Empirical Economics, Springer, vol. 56(1), pages 107-135, January.
    2. María-Carmen García-Centeno & Laura de Pablos Escobar & Nuria Rueda-López & Carmen Calderón Patier, 2020. "The impact of the introduction of bilingual learning on sixth grade educational achievement levels," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-21, June.

14. L. M. Doncel & P. Grau & J. Otamendi & J. Sainz, 2011. "The truth about mutual funds across Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 687-692.

    Cited by:

    1. Juan Carlos Salazar-Elena & M. Paloma Sánchez & F. Javier Otamendi, 2016. "A Non-Parametric Delphi Approach to Foster Innovation Policy Debate in Spain," Sustainability, MDPI, vol. 8(5), pages 1-26, May.
    2. Parshakov, Petr, 2015. "Estimation of skill of Russian mutual fund managers," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 57-66.

15. Luis Miguel Doncel & Pilar Grau-Carles & Jorge Sainz, 2009. "On the long-term behavior of mutual fund returns," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 653-660.

    Cited by:

    1. Andreu, L. & Swinkels, L.A.P., 2009. "Performance Evaluation of Balanced Pension Plans," ERIM Report Series Research in Management ERS-2010-037-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
       • Laura Andreu & Laurens Swinkels, 2012. "Performance evaluation of balanced pension plans," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 819-830, March.
    2. Jasmine Xiao, 2015. "Domestic and Foreign Mutual Funds in Mexico: Do They Behave Differently?," IMF Working Papers 2015/104, International Monetary Fund.

16. Jorge Sainz & Pilar Grau & Luis Miguel Doncel & Javier Otamendi, 2008. "An evaluation on the true statistical relevance of Jensen's alpha trough simulation: An application for Germany," Economics Bulletin, AccessEcon, vol. 7(10), pages 1-9.

    Cited by:

    1. Nik Tuzov & Frederi Viens, 2011. "Mutual fund performance: false discoveries, bias, and power," Annals of Finance, Springer, vol. 7(2), pages 137-169, May.

Chapters

1. María Teresa Ballestar & Jorge Sainz, 2020. "A Tale of Two Social Influencers: A New Method for the Evaluation of Social Marketing," Springer Proceedings in Business and Economics, in: Francisco J. Martínez-López & Steven D'Alessandro (ed.), Advances in Digital Marketing and eCommerce, pages 80-90, Springer.

   Cited by:

   1. Sun, Yunpeng & Jia, Ruoya & Razzaq, Asif & Bao, Qun, 2024. "Social network platforms and climate change in China: Evidence from TikTok," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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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 3 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-EDU: Education (2) 2013-01-19 2013-01-26
2. NEP-EUR: Microeconomic European Issues (1) 2013-01-26
3. NEP-RMG: Risk Management (1) 2010-01-16
4. NEP-URE: Urban and Real Estate Economics (1) 2013-01-26

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