Big Data sources and methods for social and economic analyses
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DOI: 10.1016/j.techfore.2017.07.027
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- Aykroyd, Robert G. & Leiva, Víctor & Ruggeri, Fabrizio, 2019. "Recent developments of control charts, identification of big data sources and future trends of current research," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 221-232.
- Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
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- Gupta, Anushri & Panagiotopoulos, Panos & Bowen, Frances, 2020. "An orchestration approach to smart city data ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
- Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Wang, Huamao & Yao, Yumei & Salhi, Said, 2020. "Tension in big data using machine learning: Analysis and applications," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Alnoor Bhimani, 2020.
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- Bhimani, Alnoor, 2020. "Digital data and management accounting: why we need to rethink research methods," LSE Research Online Documents on Economics 103278, London School of Economics and Political Science, LSE Library.
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Keywords
Big Data architecture; Forecasting; Nowcasting; Data lifecycle; Socio-economic data; Non-traditional data sources; Non-traditional analysis methods;All these keywords.
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