Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research
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DOI: 10.1016/j.techfore.2021.120893
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- Paweł Modrzyński & Robert Karaszewski, 2022. "Urban Energy Management—A Systematic Literature Review," Energies, MDPI, vol. 15(21), pages 1-17, October.
- Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
- Ligorio, Lorenzo & Venturelli, Andrea & Caputo, Fabio, 2022. "Tracing the boundaries between sustainable cities and cities for sustainable development. An LDA analysis of management studies," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
- Richter, Maximilian A. & Hagenmaier, Markus & Bandte, Oliver & Parida, Vinit & Wincent, Joakim, 2022. "Smart cities, urban mobility and autonomous vehicles: How different cities needs different sustainable investment strategies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Zhu, Yu-Qian & Alamsyah, Nurwahyu, 2022. "Citizen empowerment and satisfaction with smart city app: Findings from Jakarta," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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Keywords
Smart city; Smart technologies; Smart services; Smart policies; Urban planning; Text mining;All these keywords.
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