Abstract
Institutions of higher learning will undergo dramatic changes in their teachings and ways of using data in the age of big data, from which new opportunities will emerge. By exploring the laws behind the data, universities can forecast the future, as well as enable the teachers, students and administrators to upgrade their teaching, learning and administrative capabilities, eventually harnessing their brand image and boosting their reputation in the real sense.
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References
China Youth Study (2010) Office of the task team for outlining national medium and long-term plan for educational reform and development of China. Outline of national medium and long-term plan for educational reform and development of China (2010–2020). China Education Daily (in Chinese)
Fu XL (2009) Sociological study of consumption behaviors of university students. China Youth Study 9:73–77 (in Chinese)
Liang QD (2009) Empirical analysis of family financial status and consumption of university students, based on the consumption survey data of 2,662 university students in Wuhan region. Jianghan Trib 8:131–135 (in Chinese)
Ming CH, Dang RH (2013) Application of big data concept in universities’ job placement program. PhD thesis, Organization and Personnel News of China (in Chinese)
Sang QB (2013) Application of big data in universities and thoughts. J Jiangsu Coll Eng Tech 2:183–202 (in Chinese)
Tu YM, Tu J (2013) Current status of research on mobile learning in China in the last 2 decades and future trends-summarization of research based on Sino-Western comparisons. Mod Distance Educ Res 121:49–55 (in Chinese)
Viktor MS, Kenneth C (2012) Big data: A revolution that will transform how we live, work, and think. Zhejiang People’s Publishing House, Hangzhou
Wen JF (2013) Study on the configuration of cloud technology-based mobile learning platforms in universities in the age of big data. PhD thesis, Liuzhou Teachers College (in Chinese)
Wu JL, Dai Q, Gu JB (2011) Product involvement, consumers’ crowd psychology and brand commitments: intermediate role of brand sensitivity, based on the example of Sedan consumption market. Manag Rev 23:68–75 (in Chinese)
Xiong CP, He XY, Wu RH (2012) On the revolutionary impacts of information technology on the development of education. Educ Res 6:22–29 (in Chinese)
Xu ZP (2013) Big data. Guangxi Normal University Press, Guangxi (in Chinese)
Yang HL (2013) Analysis of factors influencing consumers’ choice of corporate brands for reature agricultural products, based on the exploratory study of Fuliji braised chicken. Jiangxi Soc Sci 3:32–36 (in Chinese)
Yang HL, Zhang YY, Liu F (2013) Research on factors influencing brand choice of university students under different involvements, based on the example of fast moving consumer good, toothpaste. PhD thesis, Chifeng University (in Chinese)
Zhang LC, Jiang DX et al (2014) Theories of informatization development and practices of intelligent campus in higher-learning institutions. Beijing University of Aeronautics and Astronautics Press, Beijing (in Chinese)
Zhong Y, Zhang HS (2013) Origins, impacts of and responses to big data. Mod Commun 7:110–113 (in Chinese)
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Liao, Y. (2015). Harnessing and Boosting University Brand in the Age of Big Data. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_42
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DOI: https://doi.org/10.1007/978-3-662-47241-5_42
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