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Roland T Rust

Biographic Data

ID284802
NAMERoland T Rust
GIVEN NAMESRoland T
FAMILY NAMERust
SIGNATURERUST R T
AFFILIATIONSDepartment of Marketing, University of Maryland.
ORCID0000-0003-2433-7719
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS58
AUTHOR COUNT3
EDITOR COUNT2
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2025
H-INDEX3
  • The GenAI Future of Consumer Research

    Open Access•Min-Hsiung Huang, Roland T Rust et al.•ARTICLE•Journal of Consumer Research•2025•Cited by: 3•References: 23

    We develop a novel generative AI (GenAI) trajectory, 'democratization-average trap-model collapse,' to identify data and model challenges posed by GenAI, from which we project the GenAI future of consumer research. This trajectory consists of three key phenomena: democratization broadens consumer participation, the average trap produces generic responses, and model collapse occurs when GenAI outputs lose human sensibilities. Data and model challe…

  • Unveiling the Mind of the Machine

    Open Access•Melanie Clegg, Reto Hofstetter et al.•ARTICLE•Journal of Consumer Research•2024•Cited by: 3•References: 73

    Previous research has shown that consumers respond differently to decisions made by humans versus algorithms. Many tasks, however, are not performed by humans anymore but entirely by algorithms. In fact, consumers increasingly encounter algorithm-controlled products, such as robotic vacuum cleaners or smart refrigerators, which are steered by different types of algorithms. Building on insights from computer science and consumer research on algori…

  • Handbook of Service Marketing Research

    Roland T Rust, MING-HUI HUANG•BOOK•Handbook of Service Marketing…•2014

  • Feature Fatigue

    Open Access•Debora Viana Thompson, Rebecca W Hamilton et al.•ARTICLE•Journal of Marketing Research•2005

    As technology advances, it becomes more feasible to load products with a large number of features, each of which individually might be perceived as useful. However, too many features can make a product overwhelming for consumers and difficult to use. Three studies examine how consumers balance their desires for capability and usability when they evaluate products and how these desires shift over time. Because consumers give more weight to capabil…

  • Willingness‐to‐pay for Crime Control Programs

    Open Access•Mary Ann Cohen, Mark A Cohen et al.•ARTICLE•Criminology•2004•Cited by: 52•References: 10

    This paper reports on a new methodology to estimate the “cost of crime.” It is adapted from the contingent valuation method used in the environmental economics literature and is itself used to estimate the public's willingness to pay for crime control programs. In a nationally representative sample of 1,300 U.S. residents, we found that the typical household would be willing to pay between $100 and $150 per year for programs that reduced specific…

  • Willingness‐to‐pay for Crime Control Programs

    Open Access•Mary Ann Cohen, Mark A Cohen et al.•ARTICLE•Criminology•2004•Cited by: 52•References: 10

    This paper reports on a new methodology to estimate the “cost of crime.” It is adapted from the contingent valuation method used in the environmental economics literature and is itself used to estimate the public's willingness to pay for crime control programs. In a nationally representative sample of 1,300 U.S. residents, we found that the typical household would be willing to pay between $100 and $150 per year for programs that reduced specific…

  • The GenAI Future of Consumer Research

    Open Access•Min-Hsiung Huang, Roland T Rust et al.•ARTICLE•Journal of Consumer Research•2025•Cited by: 3•References: 23

    We develop a novel generative AI (GenAI) trajectory, 'democratization-average trap-model collapse,' to identify data and model challenges posed by GenAI, from which we project the GenAI future of consumer research. This trajectory consists of three key phenomena: democratization broadens consumer participation, the average trap produces generic responses, and model collapse occurs when GenAI outputs lose human sensibilities. Data and model challe…

  • Unveiling the Mind of the Machine

    Open Access•Melanie Clegg, Reto Hofstetter et al.•ARTICLE•Journal of Consumer Research•2024•Cited by: 3•References: 73

    Previous research has shown that consumers respond differently to decisions made by humans versus algorithms. Many tasks, however, are not performed by humans anymore but entirely by algorithms. In fact, consumers increasingly encounter algorithm-controlled products, such as robotic vacuum cleaners or smart refrigerators, which are steered by different types of algorithms. Building on insights from computer science and consumer research on algori…

  • Willingness‐to‐pay for Crime Control Programs

    Open Access•Mary Ann Cohen, Mark A Cohen et al.•ARTICLE•Criminology•2004•Cited by: 52•References: 10

    This paper reports on a new methodology to estimate the “cost of crime.” It is adapted from the contingent valuation method used in the environmental economics literature and is itself used to estimate the public's willingness to pay for crime control programs. In a nationally representative sample of 1,300 U.S. residents, we found that the typical household would be willing to pay between $100 and $150 per year for programs that reduced specific…

  • Feature Fatigue

    Open Access•Debora Viana Thompson, Rebecca W Hamilton et al.•ARTICLE•Journal of Marketing Research•2005

    As technology advances, it becomes more feasible to load products with a large number of features, each of which individually might be perceived as useful. However, too many features can make a product overwhelming for consumers and difficult to use. Three studies examine how consumers balance their desires for capability and usability when they evaluate products and how these desires shift over time. Because consumers give more weight to capabil…

  • Handbook of Service Marketing Research

    Roland T Rust, MING-HUI HUANG•BOOK•Handbook of Service Marketing…•2014

  • Unveiling the Mind of the Machine

    Open Access•Melanie Clegg, Reto Hofstetter et al.•ARTICLE•Journal of Consumer Research•2024•Cited by: 3•References: 73

    Previous research has shown that consumers respond differently to decisions made by humans versus algorithms. Many tasks, however, are not performed by humans anymore but entirely by algorithms. In fact, consumers increasingly encounter algorithm-controlled products, such as robotic vacuum cleaners or smart refrigerators, which are steered by different types of algorithms. Building on insights from computer science and consumer research on algori…

  • The GenAI Future of Consumer Research

    Open Access•Min-Hsiung Huang, Roland T Rust et al.•ARTICLE•Journal of Consumer Research•2025•Cited by: 3•References: 23

    We develop a novel generative AI (GenAI) trajectory, 'democratization-average trap-model collapse,' to identify data and model challenges posed by GenAI, from which we project the GenAI future of consumer research. This trajectory consists of three key phenomena: democratization broadens consumer participation, the average trap produces generic responses, and model collapse occurs when GenAI outputs lose human sensibilities. Data and model challe…

Business (4 works) · Marketing (3 works) · Psychology (3 works) · AI in Service Interactions (2 works) · Computer Science (2 works) · Consumer Behavior in Brand Consumption and Identification (2 works) · Digital Marketing and Social Media (2 works) · Machine learning (2 works) · Mathematics (2 works) · Product (mathematics) (2 works)

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