Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Brändipääoman mittakaava× | Asiakasuskollisuuden mittari× | |
|---|---|---|
| Tieteenala | Markkinoinnin johtaminen | Markkinoinnin johtaminen |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1991 | 1994 |
| Kehittäjä≠ | David A. Aaker, Boonghee Yoo, Naveen Donthu, Sungho Lee | Alan S. Dick, Kunal Basu |
| Tyyppi≠ | Multi-dimensional brand equity scale | Multi-dimensional behavioral and attitudinal loyalty scale |
| Alkuperäislähde≠ | Aaker, D. A. (1991). Managing Brand Equity: Capitalizing on the Value of a Brand Name. Free Press. ISBN: 978-0029001851 | Dick, A. S., & Basu, K. (1994). Customer Loyalty: Toward an Integrated Conceptual Framework. Journal of the Academy of Marketing Science, 22(2), 99-113. DOI ↗ |
| Rinnakkaisnimet | Customer-Based Brand Equity, Brand Perception Scale | Behavioral Loyalty Scale, Loyalty Commitment Scale |
| Liittyvät≠ | 3 | 4 |
| Tiivistelmä≠ | The Brand Equity Scale (BES) measures customer-based brand equity through perceived quality, brand loyalty, brand associations, and brand awareness. Developed by Yoo, Donthu, and Lee (2000), building on Aaker's foundational brand equity framework (1991), the BES operationalizes brand equity as the differential effect of brand knowledge on consumer response to marketing activities. The scale enables organizations to quantify the value customers attach to their brand and diagnose which equity dimensions require strategic investment. | The Customer Loyalty Scale (CLS) measures customer loyalty as a combination of attitudinal commitment and behavioral intention. Developed by Dick and Basu (1994), the scale distinguishes between behavioral loyalty (repeat purchases) and attitudinal loyalty (emotional commitment), recognizing that true loyalty involves both. CLS captures multiple dimensions of loyalty including repurchase intention, word-of-mouth advocacy, and resistance to competitive offerings. The instrument is widely used in marketing research to predict customer lifetime value and identify at-risk customers. |
| ScholarGateAineisto ↗ |
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