Bundling, as a common selling strategy, is often used along with a price discount. However, relatively little is known about the neural correlates of discount framing effect in the bundling context. In the current study, we recorded event-related potentials while participants were performing a virtual shopping task in which they had to decide whether or not to buy bundles. Each bundle consisted of a relatively high-priced product and a relatively low-priced product, and three discount frames with practically identical total prices were devised for each bundle. The price reduction was described either as a discount on the individual component [discount on the high-priced product (DH); discount on the low-priced product (DL)] or on the overall bundle (DB). Behavioral data showed that DH and DB led to higher purchase rate than DL. Electrophysiological data revealed increased P300 amplitudes for DH and DB relative to DL, which was suggestive of the cognitive process of evaluative categorization. In addition, attenuated LPP amplitudes were observed for DH and DL compared with DB, indicating higher cognitive load for DH and DL. Overall, these results demonstrate the discount framing effect in the purchase of bundles and the potential neural correlates of this effect.

Download full-text PDF

Source
http://dx.doi.org/10.1097/WNR.0000000000001265DOI Listing

Publication Analysis

Top Keywords

neural correlates
12
discount framing
12
discount
8
correlates discount
8
framing purchase
8
purchase bundles
8
high-priced product
8
low-priced product
8
discount attractive
4
attractive neural
4

Similar Publications

Abnormal network homogeneity in patients with bipolar disorder in attention network.

Brain Imaging Behav

January 2025

Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), Wuhan, China.

Bipolar disorder (BD) is a complex psychiatric condition marked by significant mood fluctuations that deeply affect quality of life. Understanding the neural mechanisms underlying BD is critical for improving diagnostic accuracy and developing more effective treatments. This study utilized resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity within the ventral and dorsal attention networks in 52 patients with BD and 51 healthy controls.

View Article and Find Full Text PDF

The growing demand for biological products drives many efforts to maximize expression of heterologous proteins. Advances in high-throughput sequencing can produce data suitable for building sequence-to-expression models with machine learning. The most accurate models have been trained on one-hot encodings, a mechanism-agnostic representation of nucleotide sequences.

View Article and Find Full Text PDF

Background And Purpose: Irritable bowel syndrome (IBS) is a common bowel-brain interaction disorder whose pathogenesis is unclear. Many studies have investigated abnormal changes in brain function in IBS patients. In this study, we analyzed the dynamic changes in brain function in IBS patients using a Hidden Markov Model (HMM).

View Article and Find Full Text PDF

Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!