Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach

Qing Yang, Naeem Hayat, Abdullah Al Mamun, Zafir Khan Mohamed Makhbul, Noor Raihani Zainol

Open source

DOI: 10.1371/journal.pone.0264899
Published: 2022-03-04
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0264899,
  title = {Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach},
  author = {Qing Yang and Naeem Hayat and Abdullah Al Mamun and Zafir Khan Mohamed Makhbul and Noor Raihani Zainol},
  year = {2022},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0264899},
  url = {https://doi.org/10.1371/journal.pone.0264899}
}

RIS

TY  - JOUR
TI  - Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach
AU  - Qing Yang
AU  - Naeem Hayat
AU  - Abdullah Al Mamun
AU  - Zafir Khan Mohamed Makhbul
AU  - Noor Raihani Zainol
PY  - 2022
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0264899
UR  - https://doi.org/10.1371/journal.pone.0264899
ER  -

APA

Yang, Q., Hayat, N., Mamun, A. A., Makhbul, Z. K. M., & Zainol, N. R. (2022). Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach. PLOS ONE. https://doi.org/10.1371/journal.pone.0264899

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crossref · retrieved 2026-09-25T00:19:26.662Z