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TL;DR: Results demonstrate that Likes are used for comparisons with the expected affective outcome, however, like decisions were rather based on judgments of likability, admiration and positive feelings after comparison rather than the comparison outcome.

TL;DR: Examination of how patient experience is affected by various generational cohorts’ perceived ease of use and usefulness of healthcare patient portals and how this experience shapes cohort technology use suggests that digital technology needs to be designed and implemented with cohorts in mind.

TL;DR: Ahluwalia et al. as mentioned in this paper developed a comprehensive conceptualization of the spillover phenomenon and described its underlying process and identified context-specific and overall factors that determine the occurrence of such effects.

TL;DR: It is demonstrated that recommender systems can affect online decision-making through an anchoring effect such that consumers’ decision- making processes and, ultimately, choices are biased toward numerical attributes of (even random) product recommendations.

TL;DR: In this paper, the authors developed a holistic framework to identify the determinants and consequences of decision paralysis and introduced a novel construct, namely, tendencies toward paralysis, that refers to the extent of decision makers' preference (a) to maintain the status quo, (b) to omit, and/or (c) to delay choice).