Unknown but interesting recommendation using social penetration

Huang, Jen-Wei; Shang, Hao; Chung, Chih Chin; Jian, Zhi Jia

doi:10.1007/s00500-018-3371-y

Cited by 2 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, accuracy alone is not sufficient to adequately reflect users’ potential interests [ 12 ]. Consumers’ preferences and needs are unstable during the process of shopping for commodities [ 13 ], and they not only need relatively accurate information about commodity recommendations but may also need information about commodities that are novel, unfamiliar, and relevant [ 14 ]. Novelty metrics have attracted increasing attention in the field of recommender systems, and recommending unseen or unexpected items to consumers, especially the more popular items that are novel to them, is an optimization strategy to cope with the unpredictability of consumer preferences and provide a set of different items to capture consumers’ potential interests [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Recommendation Novelty on Older Consumers: Older Does Not Always Mean the Avoidance of Innovative Products

Zhao,

2024

Behavioral Sciences

View full text Add to dashboard Cite

Personalized recommendations that use digital technologies to predict user interests and preferences and give guiding conclusions have become a widely used digital marketing tool on e-commerce platforms. Given that existing consumer behavior research has not reached a consensus on the relationship between age and the adoption of innovative products, whether recommendation novelty can stimulate older consumers’ acceptance of innovative products remains uncertain. Grounded in the aging and social influence literature, this experimental study investigated the moderating role of individual cognitive age on the impact of recommendation novelty on consumer perceptions regarding stereotype threat and receptiveness to innovativeness. An experiment involving 239 online shoppers was conducted to investigate the experiences of cognitively younger and older adults while using low or high levels of recommendation novelty designed for this study. Results reveal the tension for older adults when using highly recommended novelty, as they perceive these to be more of a stereotype threat, but they also have a higher level of receptiveness to innovativeness. This finding is contrary to the common belief that “the older the consumer, the less receptive to innovativeness”, providing novel insight into the information systems literature. Theoretically, this research shows how increasing the level of recommended novelty affects stereotype threat and receptiveness to innovativeness (of consumers of different cognitive ages). For practitioners, the results provide important guidelines on the kind of personalized recommendations that are appropriate for consumers with different cognitive ages.

show abstract