English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This study further develops the theoretical and empirical literature on the Behavioral Perspective Model (BPM) in three ways through an empirical analysis of the Great Britain (GB) biscuit category. First, following a literature review and a category analysis, a more complex model is constructed using the BPM structure and then testing the hypothesis uncovered. Second, the structure of the data theoretically calls for a hierarchical structure of the model, and hence, this is introduced into the BPM framework and is compared to a non-hierarchical structure of the same model. Finally, a discussion is undertaken on the advantages of a Bayesian approach to calculating parameter inference. Two models are built by utilizing vague and informed prior distributions respectively, and the results are compared. This study shows the importance of building appropriate model structures for analysis and demonstrates the advantages and challenges of utilizing a Bayesian approach. It also further demonstrates the BPM's suitability as a vehicle to better understand consumer behavior.

Building Consumer Understanding by Utilizing a Bayesian Hierarchical Structure within the Behavioral Perspective Model