Perspectives on Information Overload

By J. Jacoby. 1984

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Citations in the corpus

Manipulating and Measuring Model Interpretability (2018, background): “. First, visual displays with a great amount of numerical information (e.g., model coefﬁcients) might cause users not to notice peculiarities of a case under consideration due to information overload [1, 34, 36]. Second, when past predictions are visible, they might exert an anchoring effect [21, 68”
Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development (2018, background): “…Jacoby et al. (1974), Malhotra et al. (1982) Decision delayed or canceled MAR Sicilia and Ruiz (2010) Decreasing decision satisfaction MAR Jacoby (1984), Messner and Wänke (2011), Reutskaja and Hogarth (2009) IS Davis and Ganeshan (2009) IM/LS Bawden and Robinson (2009) Increase in…”
A Survey on the Fairness of Recommender Systems (2022, background): “Nowadays, the amount of information available on the Internet has far exceeded individuals’ information needs and processing capacity, which is known as information overload [40].”
Transforming the Customer Experience through New Technologies (2020, background): “Too much information could lead to information overload (Jacoby, 1984; Malhotra, 1984) and have a negative impact on the decision process and consumer experience.”
The effects of information overload on consumers' subjective state towards buying decision in the internet shopping environment (2009, unknown): “(Jacoby, 1984; McGuire, 1976).”