Brand loyalty is investigated by examining actual past behavior and its impact on future behavioral intentions: in terms of expectation to purchase the same/another brand from the same/another retailer, as well as willingness to recommend the purchased brand and retailer from which it was purchased. Findings indicate that while not without its flaws, purchase expectations/intentions data remain a valid research metric. Furthermore, it would appear as if the brand/consumer interface offers greater predictive ability than the retail/consumer interface. Lastly, willingness to recommend does not seem to be influenced by past behavior, but the higher the respondent’s expectation to purchase a brand, the higher will be their willingness to recommend that brand. The same applies to retailer recommendation. Limitations are discussed, and directions for future research suggested.
Journal of Product & Brand Management – Emerald Publishing
Published: Apr 1, 2000
Keywords: Brand loyalty; Retailing; Consumer behaviour; Customer loyalty
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera