Factors influencing brand equity: Testing Aaker’s brand equity framework in Malaysian toy industry

  • Received July 9, 2023;
    Accepted November 8, 2023;
    Published January 4, 2024
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.20(1).2024.04
  • Article Info
    Volume 20 2024, Issue #1, pp. 40-50
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This work is licensed under a Creative Commons Attribution 4.0 International License

Previous studies have demonstrated varying associations between fundamental components of brand equity within diverse sectors. The purpose of the current study is to examine the influence of Aaker’s brand equity model’s dimensions (brand awareness, brand loyalty, perceived quality, and brand association) on brand equity in the context of toy brands in Malaysia. The study employs a quantitative-based correlation design within a non-controlled setting, using a cross-sectional approach with individuals as the unit of analysis. The population consists of respondents from the general public aged 18 and above, as they are valid buyers of toys. Data collection was conducted using a non-probability sampling method. The questionnaire was sent to the targeted respondents using online Google Form links. A comprehensive dataset from 384 respondents was gathered for descriptive analysis of the demographic profile. Hypothesis testing was performed using regression analysis. The findings indicate that, except for brand associations, the remaining three factors – perceived quality (Beta = .377, p < .001), brand loyalty (Beta = .338, p < .001), and brand awareness (Beta = .221, p < .01) – exhibit a statistically significant positive correlation with the brand equity of children’s toy brands in Malaysia.

Acknowledgment
The authors thank INTI International University, Malaysia, for providing financial support to publish this paper.

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    • Table 1. Respondents’ profile
    • Table 2. Components of the questionnaire
    • Table 3. Reliability analysis
    • Table 4. Model summary
    • Table 5. Impact of specific predictors of brand equity
    • Conceptualization
      Wong Chee Hoo, Chai Yi Xin
    • Funding acquisition
      Wong Chee Hoo
    • Investigation
      Wong Chee Hoo, Chai Yi Xin
    • Project administration
      Wong Chee Hoo, Visal Moosa
    • Resources
      Wong Chee Hoo
    • Supervision
      Wong Chee Hoo
    • Validation
      Wong Chee Hoo, Visal Moosa
    • Visualization
      Wong Chee Hoo, Visal Moosa
    • Writing – original draft
      Wong Chee Hoo, Chai Yi Xin
    • Writing – review & editing
      Wong Chee Hoo, Visal Moosa
    • Data curation
      Chai Yi Xin
    • Formal Analysis
      Chai Yi Xin
    • Methodology
      Chai Yi Xin
    • Software
      Chai Yi Xin