Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms

Serendipity-oriented recommendation systems have been widely applied in major e-commerce and social platforms. Platform managers aim to enhance user satisfaction and increase platform sales by creating serendipitous encounters with information. Previous research has shown that the unexpectedness of encountering product information in serendipity-oriented recommendation systems can effectively stimulate positive emotions in customers, resulting in unplanned purchases, such as impulse buying. However, little research has focused on another critical aspect of encountering product information: perceived value. Our study suggests that encountering product information can positively affect the intention to purchase planned products (focal products) based on their perceived value. To explore this, we conducted three experiments and found that: (1) encountering product information positively influences planned product purchase intention (e.g., reduced decision-making time, improved focal product purchase intention), compared to the absence of encountering product information (precision-oriented recommendation systems); (2) this effect is mediated by customer inspiration; and (3) the characteristics of recommendation system strategies can moderate this effect. Specifically, when the strategy features exhibit a low level of explainability, the impact of encountering product information on customer inspiration and purchase intention is more significant than when a high level of explainability is presented.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2024-08-30
DOI
https://doi.org/10.3390/jtaer19030106
Citations
4
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.20
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article

Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms

Dan Jiang, Guangling Zhang, Lu Wang
4 citations
Journal of theoretical and applied electronic commerce research
Technology Adoption and User Behaviour
4.20
article

Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms

Dan Jiang, Guangling Zhang, Lu Wang
article en
4 citations

Abstract

Serendipity-oriented recommendation systems have been widely applied in major e-commerce and social platforms. Platform managers aim to enhance user satisfaction and increase platform sales by creating serendipitous encounters with information. Previous research has shown that the unexpectedness of encountering product information in serendipity-oriented recommendation systems can effectively stimulate positive emotions in customers, resulting in unplanned purchases, such as impulse buying. However, little research has focused on another critical aspect of encountering product information: perceived value. Our study suggests that encountering product information can positively affect the intention to purchase planned products (focal products) based on their perceived value. To explore this, we conducted three experiments and found that: (1) encountering product information positively influences planned product purchase intention (e.g., reduced decision-making time, improved focal product purchase intention), compared to the absence of encountering product information (precision-oriented recommendation systems); (2) this effect is mediated by customer inspiration; and (3) the characteristics of recommendation system strategies can moderate this effect. Specifically, when the strategy features exhibit a low level of explainability, the impact of encountering product information on customer inspiration and purchase intention is more significant than when a high level of explainability is presented.

Journal of theoretical and applied electronic commerce researchVol. 19(3)
Wuhan University (CN), Jingchu University of Technology (CN)
Openalex Percentile: Top 5%
Technology Adoption and User Behaviour
4.20
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Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms — Dan Jiang, Guangling Zhang, et al. · Journal of theoretical and applied electronic commerce research (2024) | TGRS Research Map | TGRS