Measuring Preferences for Really New Products

By Steve Hoeffler. 2003

554 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Food Science, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/0fd6cfdd3cc4207360f76cf79830954b94fa6e55

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Citations in the corpus

From new-product development to commercialization through networks (2012, background): “Communicative activities, such as synergetic marketing communication and supporting brands (Chen, Shen, & Chiu, 2007), and word-of-mouth communication (Hoeffler, 2003), weaken resistance toward adoption.”
Consumer desire for control as a barrier to new product adoption (2017, methodology): “First, using a new product may entail changing prior routines or behaviors (e.g. Hoeffler, 2003), thereby reducing one’s sense of mastery and control over the external environment (Skinner, 1996).”
Situational appropriateness of beer is influenced by product familiarity (2015, background): “For example, in a study comparing consumers’ perceptions of familiar versus novel fruits, Jaeger, Rossiter, and Lau (2005) observed that consumers could not readily think of situations in which they would use novel fruits, and suggested that choice of fruit may be driven by product familiarity.”
Predictive Analytics in Information Systems Research (2011, unknown): “In such a setting, potential users have great uncertainty evaluating the usefulness of the system (Hoeffler 2002), resulting in a large variance for the perceived usefulness (PU) construct.”
The Dark Side of Choice: When Choice Impairs Social Welfare (2006, background): “For example, Hoeffler (2003) investigates the mechanisms by which people can be taught to make choices that are informed by their known preferences, even in the context of really new products, for which these preferences are usually highly uncertain.”
What You Don’t Know Might Hurt You: Some Unresolved Issues in the Design and Analysis of Discrete Choice Experiments (2006, background): “Developed at MIT by Glen Urban and colleagues (e.g., Urban et al. 1990, 1996, 1997; see also Hoeffler 2003 ) in the late 1980s, AIMs rely on multimedia and other technologies to simulate the processes by which individuals become aware of new technologies/products, search for and acquire information”
How does product program innovativeness affect customer satisfaction? A comparison of goods and services (2011, background): “Add-on relational utility emerges from social and emotional support within the exchange relationship with the company (e.g., Bitner et al. 1998; Chandrashekaran and Sinha 1995; Hoeffler 2003; Homburg et al. 2007b; Sheth 1981).”
Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias (2019, background): “Consumers face uncertainty about an innovative product’s performance and their preferences for it (Hoeffler 2003).”
Construing Consumer Decision Making (2007, unknown): “Integrating construal-level theory and ideas about mental simulation, Zhao, Hoeffler, and Zauberman (2006) demonstrated that asking people to mentally simulate the benefits of an immediate outcome before making a decision causes their immediate decisions to become more consistent with distant-future”
Design of virtual plant environment for future generation green production systems (2007, unknown): “The results must also be questioned when customers are forced to reveal their preferences based on imaginary products or concepts rather than based on a physical experience [Hoeffler, 2003].”
Extending Lead User Theory: Antecedents and Consequences of Consumers' Lead Userness (2008, unknown): “One common problem here is that ordinary consumers find it difficult to evaluate the potential value of new concepts and products accurately, especially when they are more radical in nature (e.g., Veryzer 1998, Hoeffler 2003).”