A Combinatorial Optimization of Consumer Behaviour: A Case Study of BYJU’S

  • Unique Paper ID: 182236
  • Volume: 12
  • Issue: 2
  • PageNo: 1492-1500
  • Abstract:
  • Online education surged during the pandemic with governmental support like e-learning in India. Ed Tech forecasts changed due to COVID impacts, affecting both GDP and ac- cess to resources. Post pandemic, ed-tech companies faced challenges as demand shifted back to in-person learning. Overcrowding, unsustainable growth, and failing to adapt to hybrid models led to failures. Regulatory changes and funding constraints further impacted the industry. The combinatorial problem of matching Ed-Tech companies to success factors effectively analyse the situation in this paper we study the mathematical aspect of decline the education tech industries. . Using Hall’s Marriage Theorem, we can argue that Byju’s and other companies like it were unable to match to enough favourable conditions, leading to their decline. As the theorem predicts, without a sufficient number of favourable conditions available for all companies, some companies will inevitably fail to match and thus face decline.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{182236,
        author = {Akash pandey and Umesh Kumar Gupta},
        title = {A Combinatorial Optimization of Consumer Behaviour: A Case Study of BYJU’S},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1492-1500},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182236},
        abstract = {Online education surged during the pandemic with governmental support like e-learning in India. Ed Tech forecasts changed due to COVID impacts, affecting both GDP and ac- cess to resources. Post pandemic, ed-tech companies faced challenges as demand shifted back to in-person learning. Overcrowding, unsustainable growth, and failing to adapt to hybrid models led to failures. Regulatory changes and funding constraints further impacted the industry. The combinatorial problem of matching Ed-Tech companies to success factors effectively analyse the situation in this paper we study the mathematical aspect of decline the education tech industries. . Using Hall’s Marriage Theorem, we can argue that Byju’s and other companies like it were unable to match to enough favourable conditions, leading to their decline. As the theorem predicts, without a sufficient number of favourable conditions available for all companies, some companies will inevitably fail to match and thus face decline.},
        keywords = {EdTech, combinatorics, Byjus, Bipartite Graph, Hall’s Marriage Theorem},
        month = {July},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 2
  • PageNo: 1492-1500

A Combinatorial Optimization of Consumer Behaviour: A Case Study of BYJU’S

Related Articles