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The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies

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  1. Kristof Decock & Koenraad Debackere & Anne- Mieke Vandamme & Bart Looy, 2020. "Scenario-driven forecasting: modeling peaks and paths. Insights from the COVID-19 pandemic in Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2703-2715, September.
  2. Ramírez-Correa, Patricio & Grandón, Elizabeth E. & Rondán-Cataluña, F. Javier, 2020. "Users segmentation based on the Technological Readiness Adoption Index in emerging countries: The case of Chile," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  3. Reda Cherif & Fuad Hasanov & Aditya Pande, 2021. "Riding the Energy Transition: Oil beyond 2040," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(1), pages 117-137, January.
  4. Reddy, B. Sudhakara, 2018. "Economic dynamics and technology diffusion in indian power sector," Energy Policy, Elsevier, vol. 120(C), pages 425-435.
  5. Laurent Franckx, 2019. "Working Paper 01-19 - Future evolution of the car stock in Belgium: CASMO, the new satellite of PLANET," Working Papers 1901, Federal Planning Bureau, Belgium.
  6. Y. Villacampa & F. J. Navarro-González, 2022. "An Algorithm for Numerical Integration of ODE with Sampled Unknown Functional Factors," Mathematics, MDPI, vol. 10(9), pages 1-23, May.
  7. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  8. Sanghamitra Mukherjee, 2021. "A Framework to Measure Regional Disparities in Battery Electric Vehicle Diffusion in Ireland," Working Papers 202119, School of Economics, University College Dublin.
  9. Anna Brdulak & Grażyna Chaberek & Jacek Jagodziński, 2020. "Determination of Electricity Demand by Personal Light Electric Vehicles (PLEVs): An Example of e-Motor Scooters in the Context of Large City Management in Poland," Energies, MDPI, vol. 13(1), pages 1-18, January.
  10. Zhu, Xiaoyan & Jiao, Can & Yuan, Tao, 2019. "Optimal decisions on product reliability, sales and promotion under nonrenewable warranties," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
  11. Mukisa, Nicholas & Zamora, Ramon & Lie, Tek Tjing, 2021. "Diffusion forecast for grid-tied rooftop solar photovoltaic technology under store-on grid scheme model in Sub-Saharan Africa: Government role assessment," Renewable Energy, Elsevier, vol. 180(C), pages 516-535.
  12. Anqi Chen & Shibing You & Huan Liu & Jiaxuan Zhu & Xu Peng, 2023. "A Sustainable Road Transport Decarbonisation: The Scenario Analysis of New Energy Vehicle in China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
  13. Basaure, Arturo & Benseny, Jaume, 2020. "Smart city platform adoption for C-V2X services," ITS Conference, Online Event 2020 224845, International Telecommunications Society (ITS).
  14. Anna Brdulak & Grażyna Chaberek & Jacek Jagodziński, 2020. "Development Forecasts for the Zero-Emission Bus Fleet in Servicing Public Transport in Chosen EU Member Countries," Energies, MDPI, vol. 13(16), pages 1-20, August.
  15. Larysa Yakymova, 2018. "Modeling the Diffusion of Private Pension Provision," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 65(4), pages 385-405, December.
  16. Duan, Hongbo & Zhang, Gupeng & Wang, Shouyang & Fan, Ying, 2018. "Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology," Journal of Business Research, Elsevier, vol. 89(C), pages 57-66.
  17. Li, Xishu & Yin, Ying & Manrique, David Vergara & Bäck, Thomas, 2021. "Lifecycle forecast for consumer technology products with limited sales data," International Journal of Production Economics, Elsevier, vol. 239(C).
  18. José F. C. Castro & Davidson C. Marques & Luciano Tavares & Nicolau K. L. Dantas & Amanda L. Fernandes & Ji Tuo & Luiz H. A. de Medeiros & Pedro Rosas, 2022. "Energy and Demand Forecasting Based on Logistic Growth Method for Electric Vehicle Fast Charging Station Planning with PV Solar System," Energies, MDPI, vol. 15(17), pages 1-21, August.
  19. Shi, Yingying & Zeng, Yongchao & Engo, Jean & Han, Botang & Li, Yang & Muehleisen, Ralph T., 2020. "Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An agent-based model," Applied Energy, Elsevier, vol. 263(C).
  20. Heymann, Fabian & Miranda, Vladimiro & Soares, Filipe Joel & Duenas, Pablo & Perez Arriaga, Ignacio & Prata, Ricardo, 2019. "Orchestrating incentive designs to reduce adverse system-level effects of large-scale EV/PV adoption – The case of Portugal," Applied Energy, Elsevier, vol. 256(C).
  21. Simpson, Jesse R. & Mishra, Sabyasachee & Talebian, Ahmadreza & Golias, Mihalis M., 2019. "An estimation of the future adoption rate of autonomous trucks by freight organizations," Research in Transportation Economics, Elsevier, vol. 76(C).
  22. Arias-Gaviria, Jessica & Larsen, Erik R. & Arango-Aramburo, Santiago, 2018. "Understanding the future of Seawater Air Conditioning in the Caribbean: A simulation approach," Utilities Policy, Elsevier, vol. 53(C), pages 73-83.
  23. Francesca Bitonti & Angelo Mazza & Salvatore Strozza, 2021. "Could the bass model be applied to Italian emigration?," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(3), pages 5-16, July-Sept.
  24. 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).
  25. Azadeh Ahkamiraad & Yong Wang, 2018. "An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City," Energies, MDPI, vol. 11(3), pages 1-17, March.
  26. Nur Ayeesha Qisteena Muzir & Md. Rayid Hasan Mojumder & Md. Hasanuzzaman & Jeyraj Selvaraj, 2022. "Challenges of Electric Vehicles and Their Prospects in Malaysia: A Comprehensive Review," Sustainability, MDPI, vol. 14(14), pages 1-40, July.
  27. Anna Brdulak & Grażyna Chaberek & Jacek Jagodziński, 2021. "BASS Model Analysis in “Crossing the Chasm” in E-Cars Innovation Diffusion Scenarios," Energies, MDPI, vol. 14(11), pages 1-16, May.
  28. Park, Changeun & Lim, Sesil & Shin, Jungwoo & Lee, Chul-Yong, 2022. "How much hydrogen should be supplied in the transportation market? Focusing on hydrogen fuel cell vehicle demand in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  29. Nelly S. Kolyan & Alexander E. Plesovskikh & Roman V. Gordeev, 2023. "Predictive Assessment of the Potential Electric Vehicle Market and the Effects of Reducing Greenhouse Gas Emissions in Russia," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(3), pages 497-521.
  30. Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.
  31. Brito, Thiago Luis Felipe & Islam, Towhidul & Stettler, Marc & Mouette, Dominique & Meade, Nigel & Moutinho dos Santos, Edmilson, 2019. "Transitions between technological generations of alternative fuel vehicles in Brazil," Energy Policy, Elsevier, vol. 134(C).
  32. Mona Kabus & Lars Nolting & Benedict J. Mortimer & Jan C. Koj & Wilhelm Kuckshinrichs & Rik W. De Doncker & Aaron Praktiknjo, 2020. "Environmental Impacts of Charging Concepts for Battery Electric Vehicles: A Comparison of On-Board and Off-Board Charging Systems Based on a Life Cycle Assessment," Energies, MDPI, vol. 13(24), pages 1-31, December.
  33. Anqi Chen & Shibing You, 2022. "The Fuel Cycle Carbon Reduction Effects of New Energy Vehicles: Empirical Evidence Based on Regional Data in China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
  34. Liu, Xueying & Madlener, Reinhard, 2019. "Get Ready for Take-Off: A Two-Stage Model of Aircraft Market Diffusion," FCN Working Papers 15/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  35. Bodo, Peter, 2016. "MADness in the method: On the volatility and irregularity of technology diffusion," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 2-11.
  36. Wankmüller, Christian & Pulsfort, Johannes & Kunovjanek, Maximilian & Polt, Romana & Craß, Stefan & Reiner, Gerald, 2023. "Blockchain-based tokenization and its impact on plastic bottle supply chains," International Journal of Production Economics, Elsevier, vol. 257(C).
  37. Simpson, Jesse R. & Mishra, Sabyasachee, 2021. "Developing a methodology to predict the adoption rate of Connected Autonomous Trucks in transportation organizations using peer effects," Research in Transportation Economics, Elsevier, vol. 90(C).
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