Linkage Between Brand Value and Firm Performance: An Empirical Examination Using Fuzzy Set Qualitative Comparative Analysis

This study is designed with the data of Interbrand for ranking top 100 global brands. In this study, the linkage between brand values and financial performance was estimated using different performance measures that include both stock market and operating performance using Fuzzy Set Qualitative Comp...

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Veröffentlicht in:SAGE open 2023-07, Vol.13 (3)
Hauptverfasser: Bhaskaran, Rajesh Kumar, Sujit, Koyilathumpaday Sukumaran, Waheed, Kareem Abdul
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Sprache:eng
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Zusammenfassung:This study is designed with the data of Interbrand for ranking top 100 global brands. In this study, the linkage between brand values and financial performance was estimated using different performance measures that include both stock market and operating performance using Fuzzy Set Qualitative Comparative Analysis (fsQCA) technique. The study investigates the effect of brand value on profitability and shareholder. It is observed that the firms that have superior operating performance result in greater brand valuation. Performance of firms measured through profitability is found to be a significant factor in brand valuation. Brand valuation is also found to be significant determinant of profitability. Thus, higher brand quality improves the likelihood of repurchases and in turn improved cash flows. Firms with high agency conflicts tend to have lower brand value. Higher market valuation positively impacts brand valuation in the context of lower leverage and agency costs. The linkage of brand value to firm performance is the justification for marketer’s investments toward branding initiatives as a mechanism that creates value. This study is the first of its kind to examine the impact of agency costs on brand value using fsQCA technique to understand valuation impact of brands. To measure the effect of branding and marketing initiatives of the firms on financial performance, this study integrated both econometric and financial modeling.
ISSN:2158-2440
2158-2440
DOI:10.1177/21582440231192135