Effects of Quality and Quantity of Information on Decision Effectiveness

By Kevin Lane Keller, Richard Staelin. 1987

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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”
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact (2007, methodology): “In marketing research, the complexity of a product is usually defined in terms of the number of attributes used to describe the product (Keller and Staelin 1987; Swaminathan 2003), the number of alternatives for the product category (Keller and Staelin 1987; Payne et al. 1993; Swaminathan 2003), or…”
Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price? (2008, background): “, Amemiya 1977; Goldfeld and Quandt 1965; Greene 2003; Harvey 1976; Kristin et al. 2006). So a lack of work in DCEs is perhaps more surprising because it has been shown that Harvey’s (1976) general multiplicative heteroskedasticity formulation for linear models can be applied to discrete choice mode”
Decision Difficulty in the Age of Consumer Empowerment (2014, background): “Having less information available on important attributes decreases the overall quality of the choice information, making the task of identifying the best alternative more complex (Keller & Staelin, 1987).”
Consumer confusion proneness: scale development, validation, and application (2007, background): “When consumers are faced with a sufficiently rich information environment, they can feel information anxiety (Wurman 1990)3, but may be unable to stop short of information overloading themselves (Malhotra 1984; Keller and Staelin 1987).”
Should I Stay or Should I Go? Tourists’ COVID-19 Risk Perception and Vacation Behavior Shift (2021, background): “When permitted, the industry must ensure as unified as possible measures for risk management to reduce tourists fatigue and decision effectiveness [56,93], which typically diverts tourists from making any decisions at all [94,95].”
Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services (2016, background): “…studies have revealed that confronting too much information might decrease decision quality (Jacoby et al. 1974) and decision effectiveness (Keller and Staelin 1987), leading to greater dissatisfaction with the choice (Iyengar and Lepper 2000, Botti and Iyengar 2006, Diehl and Poynor 2010).”
A study of factors that contribute to online review helpfulness (2015, background): “In most cases, a short review simply does not have the necessary capacity to include all the required elements of a good review (Keller & Staelin, 1987).”
Effects of COVID-19 Misinformation on Information Seeking, Avoidance, and Processing: A Multicountry Comparative Study (2020, background): “Researchers have also suggested that the ambiguity, low quality, and novelty of information can trigger the feeling of overload as these attributes make it more difficult for individuals to process information (Keller & Staelin, 1987; Schneider, 1987).”
Understanding online purchase intentions: contributions from technology and trust perspectives (2003, methodology): “Researchers have long been studying how consumers search for information about products and how useful technology can be to acquire this information (Stigler, 1961; Thorelli & Engledow, 1980; Keller & Staelin, 1987; Widing & Talarzyk, 1993; Moorthy et al ., 1997).”
Why are you telling me this? An examination into negative consumer reviews on the Web (2007, background): “As with offline search behavior (Keller & Staelin, 1987; Malhotra, 1982), a consumer searching for product information in cyberspace does not read every relevant e-WOM recommendation before making a purchase decision (Chatterjee, 2001).”
Factors influencing big data decision-making quality (2017, unknown): “Past research about the use of data shows that data quality influences decision-making quality (Keller & Staelin, 1987; O'Reilly, 1982).”