Mauricio Uriona Maldonado

Personal Details

First Name:	Mauricio
Middle Name:
Last Name:	Uriona Maldonado
Suffix:
RePEc Short-ID:	pur95
	[This author has chosen not to make the email address public]
	https://sinergia.ufsc.br/eng-uriona/

Affiliation

Centro Sócio-Econômico
Universidade Federal de Santa Catarina

Florianópolis, Brazil
http://www.cse.ufsc.br/
RePEc:edi:csufsbr (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.

Articles

1. Borges, Cosme P. & Sobczak, Jéssica C. & Silberg, Timothy R. & Uriona-Maldonado, Mauricio & Vaz, Caroline R., 2021. "A systems modeling approach to estimate biogas potential from biomass sources in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).

   Cited by:

   1. Borges, Cosme P. & Silberg, Timothy R. & Uriona-Maldonado, Mauricio & Vaz, Caroline R., 2023. "Scaling actors’ perspectives about innovation system functions: Diffusion of biogas in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
   2. Pasquale Marcello Falcone, 2023. "Sustainable Energy Policies in Developing Countries: A Review of Challenges and Opportunities," Energies, MDPI, vol. 16(18), pages 1-19, September.
   3. Xie, Shaoqu & Li, Zhuoxi & Luo, Shaojuan & Zhang, Wanli, 2024. "Bioethanol to jet fuel: Current status, challenges, and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
   4. Ahmad, Munir & Khan, Irfan & Shahzad Khan, Muhammad Qaiser & Jabeen, Gul & Jabeen, Hafiza Samra & Işık, Cem, 2023. "Households' perception-based factors influencing biogas adoption: Innovation diffusion framework," Energy, Elsevier, vol. 263(PE).
   5. Zhao Xin-gang & Wang Wei & Hu Shuran & Liu Xuan, 2023. "Impacts of Government Policies on the Adoption of Biomass Power: A System Dynamic Perspective," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
   6. Santiago Molina & Ricardo Novella & Josep Gomez-Soriano & Miguel Olcina-Girona, 2021. "New Combustion Modelling Approach for Methane-Hydrogen Fueled Engines Using Machine Learning and Engine Virtualization," Energies, MDPI, vol. 14(20), pages 1-21, October.
   7. Ahmad, Munir & Wu, Yiyun, 2022. "Household-based factors affecting uptake of biogas plants in Bangladesh: Implications for sustainable development," Renewable Energy, Elsevier, vol. 194(C), pages 858-867.
   8. Júlio Ximenes & André Siqueira & Ewa Kochańska & Rafał M. Łukasik, 2021. "Valorisation of Agri- and Aquaculture Residues via Biogas Production for Enhanced Industrial Application," Energies, MDPI, vol. 14(9), pages 1-14, April.

2. Suélen Fernandes & Mariele Canal Bonfante & Carla Tognato Oliveira & Mauricio Uriona Maldonado & Lucila M. S. Campos, 2020. "Decentralized Water Supply Management Model: a Case Study of Public Policies for the Utilization of Rainwater," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2771-2785, July.

   Cited by:

   1. Shiguang Chen & Hongwei Sun & Qiuli Chen & Song Liu & Xuebin Chen, 2023. "An Innovative Approach to Predicting the Financial Prospects of a Rainwater Harvesting System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3169-3185, June.

3. Milton M. Herrera & Lina A. Carvajal-Prieto & Mauricio Uriona-Maldonado & Fernando Ojeda, 2019. "Modeling the Customer Value Generation in the Industry's Supply Chain," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 8(4), pages 1-13, October.

   Cited by:

   1. Abhijit Bera & Mrinal Kanti Ghose & Dibyendu Kumar Pal, 2021. "Sentiment Analysis of Multilingual Tweets Based on Natural Language Processing (NLP)," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(4), pages 1-12, October.

4. Benvenutti, Lívia M. & Uriona-Maldonado, Mauricio & Campos, Lucila M.S., 2019. "The impact of CO2 mitigation policies on light vehicle fleet in Brazil," Energy Policy, Elsevier, vol. 126(C), pages 370-379.

   Cited by:

   1. Jessimon Ferreira & Dana I. Andrade & Maria E. K. Fuziki & Lariana N. B. de Almeida & Leda M. S. Colpini & Giane G. Lenzi & Angelo M. Tusset, 2022. "Catalytic Systems in the Reduction of Nitrogen Oxide Emissions in Diesel-Powered Trucks," Sustainability, MDPI, vol. 14(11), pages 1-12, May.
   2. Lei Zhao & Wenbin Pan & Hao Lin, 2022. "Can Fujian Achieve Carbon Peak and Pollutant Reduction Targets before 2030? Case Study of 3E System in Southeastern China Based on System Dynamics," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
   3. Nkosi, Mfundo & Dikgang, Johane & Kutela Gelo, Dambala & Pholo, Alain, 2021. "Greening the vehicle fleet, how does South Africa’s tax reforms affect new car sales," EconStor Preprints 236726, ZBW - Leibniz Information Centre for Economics.
   4. Claudiu Tiberiu Albulescu & Maria-Elena Boatca-Barabas & Andra Diaconescu, 2021. "The asymmetric effect of environmental policy stringency on CO2 emissions in OECD countries," Working Papers hal-03303096, HAL.
   5. Li, Jingjing & Nian, Victor & Jiao, Jianling, 2022. "Diffusion and benefits evaluation of electric vehicles under policy interventions based on a multiagent system dynamics model," Applied Energy, Elsevier, vol. 309(C).
   6. Rafael Fernandes Mosquim & Carlos Eduardo Keutenedjian Mady, 2022. "Performance and Efficiency Trade-Offs in Brazilian Passenger Vehicle Fleet," Energies, MDPI, vol. 15(15), pages 1-22, July.

5. Baur, Lucia & Uriona M., Mauricio, 2018. "Diffusion of photovoltaic technology in Germany: A sustainable success or an illusion driven by guaranteed feed-in tariffs?," Energy, Elsevier, vol. 150(C), pages 289-298.

   Cited by:

   1. Libo Zhang & Qian Du & Dequn Zhou, 2021. "Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties," Energies, MDPI, vol. 14(7), pages 1-19, March.
   2. Dhirasasna, NiNa & Sahin, Oz, 2021. "A system dynamics model for renewable energy technology adoption of the hotel sector," Renewable Energy, Elsevier, vol. 163(C), pages 1994-2007.
   3. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
      • Lamp, Stefan, 2018. "Sunspots that matter: the effect of weather on solar technology adoption," TSE Working Papers 18-879, Toulouse School of Economics (TSE).
   4. Milad Mousavian, H. & Hamed Shakouri, G. & Mashayekhi, Ali-Naghi & Kazemi, Aliyeh, 2020. "Does the short-term boost of renewable energies guarantee their stable long-term growth? Assessment of the dynamics of feed-in tariff policy," Renewable Energy, Elsevier, vol. 159(C), pages 1252-1268.
   5. Castaneda, Monica & Zapata, Sebastian & Cherni, Judith & Aristizabal, Andres J. & Dyner, Isaac, 2020. "The long-term effects of cautious feed-in tariff reductions on photovoltaic generation in the UK residential sector," Renewable Energy, Elsevier, vol. 155(C), pages 1432-1443.
   6. Lan, Haifeng & Gou, Zhonghua & Yang, Linchuan, 2020. "House price premium associated with residential solar photovoltaics and the effect from feed-in tariffs: A case study of Southport in Queensland, Australia," Renewable Energy, Elsevier, vol. 161(C), pages 907-916.
   7. Idiano D’Adamo, 2018. "The Profitability of Residential Photovoltaic Systems. A New Scheme of Subsidies Based on the Price of CO 2 in a Developed PV Market," Social Sciences, MDPI, vol. 7(9), pages 1-21, August.
   8. Montoya-Duque, Laura & Arango-Aramburo, Santiago & Arias-Gaviria, Jessica, 2022. "Simulating the effect of the Pay-as-you-go scheme for solar energy diffusion in Colombian off-grid regions," Energy, Elsevier, vol. 244(PB).
   9. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
   10. Daniel Lugo-Laguna & Angel Arcos-Vargas & Fernando Nuñez-Hernandez, 2021. "A European Assessment of the Solar Energy Cost: Key Factors and Optimal Technology," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
   11. Setiawan, Andri D. & Dewi, Marmelia P. & Jafino, Bramka Arga & Hidayatno, Akhmad, 2022. "Evaluating feed-in tariff policies on enhancing geothermal development in Indonesia," Energy Policy, Elsevier, vol. 168(C).
   12. Kumar, Rajeev Ranjan & Guha, Pritha & Chakraborty, Abhishek, 2022. "Comparative assessment and selection of electric vehicle diffusion models: A global outlook," Energy, Elsevier, vol. 238(PC).
   13. Li, Hong Xian & Zhang, Yitao & Li, Yan & Huang, Jiaxin & Costin, Glenn & Zhang, Peng, 2021. "Exploring payback-year based feed-in tariff mechanisms in Australia," Energy Policy, Elsevier, vol. 150(C).
   14. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
   15. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.
   16. Xin-gang, Zhao & Wei, Wang & Jieying, Wang, 2022. "The policy effects of demand-pull and technology-push on the diffusion of wind power: A scenario analysis based on system dynamics approach," Energy, Elsevier, vol. 261(PA).
   17. Hidayatno, Akhmad & Setiawan, Andri D. & Wikananda Supartha, I Made & Moeis, Armand O. & Rahman, Irvanu & Widiono, Eddie, 2020. "Investigating policies on improving household rooftop photovoltaics adoption in Indonesia," Renewable Energy, Elsevier, vol. 156(C), pages 731-742.
   18. Diana Enescu & Alessandro Ciocia & Udayanga I. K. Galappaththi & Harsha Wickramasinghe & Francesco Alagna & Angela Amato & Francisco Díaz-González & Filippo Spertino & Valeria Cocina, 2023. "Energy Tariff Policies for Renewable Energy Development: Comparison between Selected European Countries and Sri Lanka," Energies, MDPI, vol. 16(4), pages 1-26, February.
   19. Chayjan, Melika Rezaei & Dehghanian, Farzad & Kakhki, Mohammad Daneshvar, 2024. "Modeling residential photovoltaic adoption: A system dynamics approach for solar energy expansion," Energy Policy, Elsevier, vol. 189(C).
   20. Ghaboulian Zare, Sara & Alipour, Mohammad & Hafezi, Mehdi & Stewart, Rodney A. & Rahman, Anisur, 2022. "Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method," Energy, Elsevier, vol. 238(PA).

6. Haddad, Carolina R. & Uriona Maldonado, Mauricio, 2017. "A functions approach to improve sectoral technology roadmaps," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 251-260.

   Cited by:

   1. Ferreira, Paula & Rocha, Ana & Araujo, Madalena & Afonso, Joao L. & Antunes, Carlos Henggeler & Lopes, Marta A.R. & Osório, Gerardo J. & Catalão, João P.S. & Lopes, João Peças, 2023. "Assessing the societal impact of smart grids: Outcomes of a collaborative research project," Technology in Society, Elsevier, vol. 72(C).
   2. Chakraborty, Swagata & Nijssen, Edwin J. & Valkenburg, Rianne, 2022. "A systematic review of industry-level applications of technology roadmapping: Evaluation and design propositions for roadmapping practitioners," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
   3. Andersen, Per Dannemand & Johnston, Ron & Saritas, Ozcan, 2017. "FTA and Innovation Systems," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 236-239.
   4. Nazarenko, Anastasia & Vishnevskiy, Konstantin & Meissner, Dirk & Daim, Tugrul, 2022. "Applying digital technologies in technology roadmapping to overcome individual biased assessments," Technovation, Elsevier, vol. 110(C).
   5. Gruenhagen, Jan Henrik & Cox, Stephen & Parker, Rachel, 2022. "An actor-oriented perspective on innovation systems: Functional analysis of drivers and barriers to innovation and technology adoption in the mining sector," Technology in Society, Elsevier, vol. 68(C).
   6. Isabela Neto Piccirillo & Daniel Capaldo Amaral & Maicon Gouvêa De Oliveira, 2022. "A Research Agenda for Collaborative Roadmapping Supported by Blockchain Technology," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
   7. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

7. Caroline Rodrigues Vaz & Bernard Grabot & Mauricio Uriona Maldonado & Paulo Mauricio Selig, 2013. "Some reasons to implement reverse logistics in companies," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 16(5/6), pages 467-479.

   Cited by:

   1. Lehner, Roland, 2023. "Cross-Supply Chain Collaboration Platform for Pallet Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   2. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
   3. Caroline Rodrigues Vaz & Tania Regina Shoeninger Rauen & Álvaro Guillermo Rojas Lezana, 2017. "Sustainability and Innovation in the Automotive Sector: A Structured Content Analysis," Sustainability, MDPI, vol. 9(6), pages 1-23, May.
   4. Kateryna Lysenko-Ryba & Dominik Zimon, 2021. "Customer Behavioral Reactions to Negative Experiences during the Product Return," Sustainability, MDPI, vol. 13(2), pages 1-14, January.

8. Mauricio Uriona-Maldonado & Raimundo N. M. Santos & Gregorio Varvakis, 2012. "State of the art on the Systems of Innovation research: a bibliometrics study up to 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 977-996, June.

   Cited by:

   1. David Doloreux & Jose Gaviria de la Puerta & Iker Pastor-López & Igone Porto Gómez & Borja Sanz & Jon Mikel Zabala-Iturriagagoitia, 2019. "Territorial innovation models: to be or not to be, that’s the question," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1163-1191, September.
   2. Youliang Huang & Mingquan Zhou & Qingqiong Deng & Juan Zhang & Pengbo Zhou & XianGang Shang, 2015. "Bibliometric analysis for the literature of traditional Chinese medicine in PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 557-566, October.
   3. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.
   4. Dahesh, Mehran Badin & Tabarsa, Gholamali & Zandieh, Mostafa & Hamidizadeh, Mohammadreza, 2020. "Reviewing the intellectual structure and evolution of the innovation systems approach: A social network analysis," Technology in Society, Elsevier, vol. 63(C).
   5. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
   6. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
   7. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.

9. Mauricio Uriona-Maldonado & Leonardo Souza & Gregorio Varvakis, 2010. "Focus on practice service process innovation in the Brazilian electric energy sector," Service Business, Springer;Pan-Pacific Business Association, vol. 4(1), pages 77-88, March.

   Cited by:

   1. Uijun Kwon & Youngjung Geum, 2020. "Identification of promising inventions considering the quality of knowledge accumulation: a machine learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1877-1897, December.
   2. Jose Roig, 2010. "Introduction," Service Business, Springer;Pan-Pacific Business Association, vol. 4(1), pages 1-7, March.
   3. Lucia Crevani & Kristina Palm & Annika Schilling, 2011. "Innovation management in service firms: a research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 5(2), pages 177-193, June.
   4. Insu Cho & Heejun Park & Jeongil Choi, 2011. "The impact of diversity of innovation channels on innovation performance in service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 5(3), pages 277-294, September.
   5. Yang Yang & Zhongqiu Li & Yingying Su, 2018. "The Effectiveness of Service Innovation Practices to Reduce Energy Consumption Based on Adaptive Theory," Sustainability, MDPI, vol. 10(9), pages 1-16, September.

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