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The role of atmospheric cues in online impulse-buying behavior · Study

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ArticleThe role of atmospheric cues in online impulse-buying behavior

Arne Floh2013

Article2013

The role of atmospheric cues in online impulse-buying behavior

Arne Floh · Maria Madlberger

460 citations·0/0 files stored·Electronic Commerce Research and Applications

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Consumer Retail Behavior Studies Consumer Behavior and Marketing Influence Consumer Market Behavior and Pricing

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1988On the Evaluation of Structural Equation Models 1988Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence 2025Advances in Consumer Research 1992Servicescapes: The Impact of Physical Surroundings on Customers and Employees 1982Hedonic Consumption: Emerging Concepts, Methods and Propositions 1987Dimensions of Consumer Expertise

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2019Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing 2020Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues 2020What Drives Consumer Shopping Behavior in Live Streaming Commerce 2019The impact of social media celebrities' posts and contextual interactions on impulse buying in social commerce 2018How do product recommendations affect impulse buying? An empirical study on WeChat social commerce

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Details

Year2013

Typearticle

Published2013-06-11

VenueElectronic Commerce Research and Applications

ISSN-L1567-4223

Languageen

Citations460

Files0 public / 0

ShelfConsumer Retail Behavior Studies

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doi10.1016/j.elerap.2013.06.001

openalex_workW2073055306

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2016Towards a unified customer experience in online shopping environments

2020Consumers response towards mobile commerce applications: S-O-R approach

2020Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited