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An Empirical Research on the Impact of Digital Marketing and Data Science on Indian Education System

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ICT with Intelligent Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 311))

Abstract

Indian Education System being one of the largest in the world has 760 universities and 38,498 colleges approximately. The rapid growth of web technologies, Internet of things and digital media has transformed the education sectors because of the countries youth dependence on Internet. By influencing people interaction, work, life habits digital marketing is playing an incredible role in current youth’s education not only in connecting but also in the process of teaching and learning. The basic strategy behind this education-based—marketing is sharing of knowledge by establishing credibility and trust. It is possible to achieve astonishing results when education is combined with marketing. The paper describes the impact of applying advanced data science techniques on digital marketing strategies and its influence on Indian Education System.

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References

  1. Spaltro, C.E. (2016). Connecting the dots: how IoT is going to revolutionize the digital marketing landscape for millennials

    Google Scholar 

  2. Malar, P.J.M.A.J.: Innovative digital marketing trends 2016. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), March, pp. 4550–4556. IEEE (2016)

    Google Scholar 

  3. Mohammadian, A., Mirbagheri, F., Khanlari, A.: Identification and classification of innovative applications of internet of things in digital marketing. J. Bus. Manag. 11(4), 719–741 (2019)

    Google Scholar 

  4. Saura, J.R.: Using data sciences in digital marketing: framework, methods, and performance metrics. J. Innov. Knowl. 6(2), 92–102 (2021)

    Article  MathSciNet  Google Scholar 

  5. Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–144 (2015)

    Google Scholar 

  6. Piatetsky-Shapiro, G.: Notes of IJCAI'89 Workshop Knowledge Discovery in Databases KDD'89. Detroit, Michigan (1989)

    Google Scholar 

  7. Caseiro, N., Coelho, A.: The influence of Business Intelligence capacity, network learning and innovativeness on startups performance. J. Innov. Knowl. 4(3), 139–145 (2019). https://doi.org/10.1016/j.jik.2018.03.009

    Article  Google Scholar 

  8. Htun, H.L.: The Impact of Digital Marketing Channels on Consumer Purchasing Behavior during COVID-19 Pandemic in Myanmar (2021)

    Google Scholar 

  9. Bharadwaj, N., Ballings, M., Naik, P.A., Moore, M., Arat, M.: A new livestream retail analytics framework to assess the sales impact of emotional displays. J. Mark. 86(1), 27–47 (2022)

    Article  Google Scholar 

  10. Raisch, S., Krakowski, S.: Artificial intelligence and management: the automation-augmentation paradox. Acad. Manag. Rev. 46(1), 192–210 (2021)

    Article  Google Scholar 

  11. Cheng, S., Ma, L., Lu, H., Lei, X., Shi, Y.: Evolutionary computation for solving search-based data analytics problems. Artif. Intell. Rev. 54(2), 1321–1348 (2021)

    Article  Google Scholar 

  12. Das, S.: Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing. CRC Press (2021)

    Google Scholar 

  13. Li, F., Larimo, J., Leonidou, L.C.: Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. J. Acad. Mark. Sci. 49(1), 51–70 (2021)

    Article  Google Scholar 

  14. Suryanarayana, S.A., Sarne, D., Kraus, S.: Information design in affiliate marketing. Auton. Agent. Multi-Agent Syst. 35(2), 1–28 (2021)

    Article  Google Scholar 

  15. Maurer, C.: Digital Marketing in Tourism (2021)

    Google Scholar 

  16. Naeem, M., Jamal, T., Diaz-Martinez, J., Butt, S.A., Montesano, N., Tariq, M.I., De-la-Hoz-Franco, E., De-La-Hoz-Valdiris, E.: Trends and future perspective challenges in big data. In: Advances in Intelligent Data Analysis and Applications, pp. 309–325. Springer, Singapore (2022)

    Google Scholar 

  17. Rose, D.: Using a data science life cycle. In: Data Science. Apress, Berkeley, CA (2016). https://doi.org/10.1007/978-1-4842-2253-9_12

  18. Hoddy, E.T.: Critical realism in empirical research: employing techniques from grounded theory methodology. Int. J. Soc. Res. Methodol. 22(1), 111–124 (2019)

    Article  Google Scholar 

  19. Queirós, A., Faria, D., Almeida, F.: Strengths and limitations of qualitative and quantitative research methods. Eur. J. Educ. Stud. (2017)

    Google Scholar 

  20. Haugan, J.A., Frostad, P., Mjaavatn, P.E.: A longitudinal study of factors predicting students’ intentions to leave upper secondary school in Norway. Soc. Psychol. Educ. 22(5), 1259–1279 (2019)

    Article  Google Scholar 

  21. Conway, G., Doherty, E., Carcary, M.: Evaluation of a focus group approach to developing a survey instrument. In: Proceedings of the European Conference on Research Methods for Business & Management Studies, pp. 92–98 (2018)

    Google Scholar 

  22. Zaman, T.: An efficient exponential estimator of the mean under stratified random sampling. Math. Popul. Stud. 28(2), 104–121 (2021). Kannan, P.: Digital marketing: a framework, review and research agenda. Int. J. Res. Mark. 34(1), 22–45 (2017)

    Google Scholar 

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Acknowledgements

The authors would like to thank the students, parents and the staff members of various education sectors, whose response and cooperation have contributed the major part of the research.

Author information

Authors and Affiliations

  1. Department of MCA, Nitte Meenakshi Institute of Technology, Bangalore, India

    S. Sushitha

  2. Nitte Meenakshi Institute of Technology, Bangalore, India

    Chethan Shetty

Authors
  1. S. Sushitha
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  2. Chethan Shetty
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Corresponding author

Correspondence to S. Sushitha .

Editor information

Editors and Affiliations

  1. Hertfordshire Business School, University of Hertfordshire, Hatfield, Hertfordshire, UK

    Jyoti Choudrie

  2. Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

    Parikshit Mahalle

  3. University Putra Malaysia, Serdang, Malaysia

    Thinagaran Perumal

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Sushitha, S., Shetty, C. (2023). An Empirical Research on the Impact of Digital Marketing and Data Science on Indian Education System. In: Choudrie, J., Mahalle, P., Perumal, T., Joshi, A. (eds) ICT with Intelligent Applications. Smart Innovation, Systems and Technologies, vol 311. Springer, Singapore. https://doi.org/10.1007/978-981-19-3571-8_61

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