Title :
Effects of Attribute Framing Varying with the Elaboration in Online Shopping: An Eye-Tracking Approach
Author :
Shu-Fei Yang ; Hsin-Hui Lin
Author_Institution :
Dept. of Inf. Manage., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Abstract :
This study uses eye tracking and the Elaboration Likelihood Model (ELM) to explore the framing effect moderated by elaborations, hence resulting in the observed eye movement and purchase intention in online shopping. The results show that high elaboration is more susceptible to the framing effect on purchase intention, while low elaboration is more susceptible to the framing effect on eye movement. Our study also discovers that eye movements are capable of predicting purchase intention when customers are under high elaboration and low elaboration. Furthermore, under high elaboration, eye movement induced by negative framing had higher predictive power, while under low elaboration, eye movement induced by positive framing showed higher predictive power. These findings have important practical implications for e-sellers to identify the characteristics of consumers´ elaboration using eye movements and to deliver different framing messages and product information corresponding to different elaboration levels.
Keywords :
Internet; consumer behaviour; eye; psychology; retail data processing; ELM; attribute framing; consumer elaboration; elaboration likelihood model; eye movement; eye-tracking approach; framing effect; negative framing; online shopping; positive framing; product information; purchase intention; Atmospheric measurements; Context; Educational institutions; Information processing; Particle measurements; Process control; Tracking; Attribute framing; Elaboration Likelihood Model; Eye movement; Online shopping; Purchase Intention;
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
DOI :
10.1109/HICSS.2014.384