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

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Listed:
  • Qing Yang
  • Naeem Hayat
  • Abdullah Al Mamun
  • Zafir Khan Mohamed Makhbul
  • Noor Raihani Zainol

Abstract

Social media has changed the marketing phenomenon, as firms use social media to inform, impress, and retain the existing consumers. Social media marketing empowers business firms to generate perceived brand equity activities and build the notion among consumers to continue using the firms’ products and services. The current exploratory study aimed to examine the effects of social media marketing activities on brand equity (brand awareness and brand image) and repurchase intention of high-tech products among Chinese consumers. The study used a cross-sectional design, and the final analysis was performed on 477 valid responses that were collected through an online survey. Partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) analysis were performed. The obtained results revealed positive and significant effects of trendiness, interaction, and word of mouth on brand awareness. Customisation, trendiness, interaction, and word of mouth were found to positively affect brand image. Brand awareness and brand image were found to affect repurchase intention. The results of multilayer ANN analysis suggested trendiness as the most notable factor in developing brand awareness and brand image. Brand awareness was found to be an influential factor that nurtures repurchase intention. The study’s results confirmed the relevance of social media marketing activities in predicting brand equity and brand loyalty by repurchase intention. Marketing professionals need to concentrate on entertainment and customisation aspects of social media marketing that can help to achieve brand awareness and image. The limitations of study and future research opportunities are presented at the end of this article.

Suggested Citation

  • Qing Yang & Naeem Hayat & Abdullah Al Mamun & Zafir Khan Mohamed Makhbul & Noor Raihani Zainol, 2022. "Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-23, March.
  • Handle: RePEc:plo:pone00:0264899
    DOI: 10.1371/journal.pone.0264899
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    References listed on IDEAS

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    1. Weiwei Zhang & Mingyan Wang, 2021. "An improved deep forest model for prediction of e-commerce consumers’ repurchase behavior," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
    2. Yukie Sano & Hideki Takayasu & Shlomo Havlin & Misako Takayasu, 2019. "Identifying long-term periodic cycles and memories of collective emotion in online social media," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
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