Decision Making in Information-Rich Environments: The Role of Information Structure

By Nicholas H. Lurie. 2004

357 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/2b9889f5ef2dad8b892098888362377e81a17240

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In General Decision Sciences

In Marketing

Citations in the corpus

The effects of information overload on consumers' subjective state towards buying decision in the internet shopping environment (2009, background): “…hoping to find a universal threshold of information load that make decisions worse (Jacoby et al., 1974a,b; Russo, 1974; Summers, 1974; Wilkie, 1974; Malhotra et al., 1982; Malhotra, 1982; Keller and Staelin, 1987; Meyer and Johnson, 1989; Hahn et al., 1992; Lee and Lee, 2004; Lurie, 2004).”
Decision Difficulty in the Age of Consumer Empowerment (2014, methodology): “Prior research has demonstrated that information load increases as a function of the number of attributes and alternatives (Jacoby, Speller, & Kohn, 1974; Malhotra, 1982; Payne, 1976) but can also be augmented by other dimensions of the information such as the number of attribute levels and the unif”
The effect of information overload on consumer choice quality in an on-line environment (2004, methodology): “Malhotra (1982b) also found a decrease in choice accuracy as the number of alternatives increased from 5 to 10 or more up to 25. More recently, Lurie (2002) replicated and found support for the negative effect of the number of alternatives on quality of choice when there were 27 alternatives in a ”
Is timely information always better? The effect of feedback frequency on decision making ☆ (2009, methodology): “Process-tracing methods such as Mouselab (Payne et al., 1988), eye tracking (Russo & Dosher, 1983), or verbal protocols (Jarvenpaa, 1989) may be used to assess the way in which decisions are made.”
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): “…Grant (1997) IS Davis and Ganeshan (2009), Hiltz and Turoff (1985), Shrivastav and Hiltz (2013) MAR Herbig and Kramer (1994), Lee and Lee (2004), Lurie (2004) MS O’Reilly (1980) Prior knowledge and experience FI Agnew and Szykman (2005) IS Saunders et al. (2017) MAR Bettman and Park (1980),…”
Searching for Experience on the Web: An Empirical Examination of Consumer Behavior for Search and Experience Goods (2009, methodology): “…types of information (i.e., context variables) and different types of information structures (i.e., task variables) require different levels of effort to process, often measured by the “time per acquisition” (Bettman et al. 1993; Ha and Hoch 1989; Lurie 2004; Lynch and Ariely 2000; Shugan 1980).”
What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model (2020, unknown): “Some previous researchers attempted to find an objective threshold of information overload for ordinary consumers (Keller & Staelin, 1987; Lurie, 2004).”