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J. Jeffrey Inman

Researcher at University of Pittsburgh

Publications -  114
Citations -  12654

J. Jeffrey Inman is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Shopper marketing & Context (language use). The author has an hindex of 48, co-authored 112 publications receiving 11130 citations. Previous affiliations of J. Jeffrey Inman include National Center for Genome Resources & NorthShore University HealthSystem.

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Practice Prize Reports

TL;DR: The Practice Prize reports consist of one article with two parts as follows: "Sinha, Ashish, J. Jeffrey Inman, Yantao Wang, Joonwook Park. Attribute drivers: A factor analytic choice map approach for understanding choices among SKUs" and "Tellis, Gerard J., Rajesh K. Chandy, Deborah MacInnis, Pattana Thaivanich.
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Investing for Retirement: The Moderating Effect of Fund Assortment Size on the 1/N Heuristic

TL;DR: This paper found that increasing the fund assortment size decreases the tendency to invest in all available funds (1/n#), but increases the tendency of spread the invested dollars evenly among the chosen alternatives (1 /n$) provided that the number of funds chosen for investment allows for easy equal dollar allocations.
Posted Content

The Impact of Outcome Elaboration on Susceptibility to Contextual and Presentation Biases

TL;DR: This article found that investors with a stronger tendency to engage in pre-decision outcome elaboration are less susceptible to various contextual and presentation biases and are more likely to make consistent investment choices.
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A Dynamic Choice Map Approach to Modeling Attribute-Level Varied Behavior Among Stockkeeping Units

TL;DR: In this paper, the authors developed a model using an internal market structure analysis approach, which provides the benefit of attribute-level competitive maps and estimates of attributelevel reinforcing behavior versus derived varied behavior.
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The Impact of Outcome Elaboration on Susceptibility to Contextual and Presentation Biases

TL;DR: The authors found that investors with a stronger tendency to engage in predecision outcome elaboration are less susceptible to various contextual and presentation biases and are more likely to make consistent investment choices, and that encouraging predecision elaboration on both the potential benefits and the potential risks of investing helps investors who tend not to engaging in such elaboration become less influenced by peripheral cues, such as information framing and presentation mode.