Logo

Pusat Sumber Belajar FEB UI

  • FAQ
  • Berita
  • Rooms
  • Bantuan
  • Area Anggota
  • Pilih Bahasa :
    Bahasa Inggris Bahasa Indonesia
  • Search
  • Google
  • Advanced Search
*sometimes there will be ads at the top, just scroll down to the results of this web
No image available for this title

Text

A Feature-Based Approach to Assessing Advertisement Similarity

Williams, Patti - ; Schweidel, A. David - ; Bradlow. T. Eric - ;

This research presents a feature-based statistical model and subsequently explores the degree to which similarity perceptions between two advertisements can be decomposed and explained by a "weighted-and-summed" distance measure, computed on the advertisements' executional elements, after controlling for familiarity and viewers' attitudinal responses toward the advertisements. Furthermore, the authors obtain empirical findings in two major areas:

First, variation in similarity ratings can be explained by the advertisements' features, a finding of potential importance for advertisement construction. Second, some, but not all, executional elements that have been shown (in the literature) to drive recall and persuasion are effective at driving perceptions of similarity. This is of practical importance because managers want their advertisements not only to be liked and remembered but also (possibly) to be perceived as similar (or dissimilar) to those for other products. In particular, an understanding of which items drive which constructs (recall and persuasion, or similarity) can contribute to a more effective overall marketing strategy.


Ketersediaan

Call NumberLocationAvailable
JM4306PSB lt.dasar - Pascasarjana1
PenerbitChicago: American Marketing Association 2006
EdisiVol. 43, No. 2 (May, 2006), pp. 237-243
SubjekAdvertising effectiveness
Consumer perception
Marketing analytics
statistical modeling
Advertisement Similarity
ISBN/ISSN0022-2437
KlasifikasiNONE
Deskripsi Fisik7 p.
Info Detail SpesifikJournal of Marketing
Other Version/RelatedTidak tersedia versi lain
Lampiran Berkas
  • A Feature-Based Approach to Assessing Advertisement Similarity

Pencarian Spesifik
Where do you want to share?