Augmented reality-delivered product information at the point of sale: when information controllability backfires

Stefan Hoffmann · Tom Joerß · Robert Mai · Payam Akbar

56 citations0/0 files storedJournal of the Academy of Marketing Science

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Consumer Retail Behavior Studies Consumer Market Behavior and Pricing Augmented Reality Applications

Abstract

Augmented reality-delivered product information (ARPI) can overcome the limited space at the point of sale to inform shoppers on demand and will therefore become more widespread in brick-and-mortar stores. To fill the void of academic research, this paper develops a model of how consumers process ARPI and how ARPI can shape brand image and purchase intentions. Making use of the cues-filtered-out theory, this paper suggests that the effect of ARPI controllability depends on information detailedness. An unintended backfire effect of controllability occurs when the accessible information is detailed, which is explained by the mediating process via perceived comprehensiveness. This backfire effect is a risk primarily in busy shopping times. The main experiment conducted in a hypermarket and four follow-up studies (using field, lab, and video settings) empirically confirm the proposed model on the basis of different data sources, including usage tracking, questionnaires, and scanner data. The paper derives managerial implications and outlines directions for future research. Supplementary Information: The online version contains supplementary material available at 10.1007/s11747-022-00855-w.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2003User Acceptance of Information Technology: Toward A Unified View1 1986Organizational Information Requirements, Media Richness and Structural Design 1994Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value 1991Effects of Price, Brand, and Store Information on Buyers' Product Evaluations 2001Hedonic and utilitarian motivations for online retail shopping behavior 2000Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters 2012The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown?

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