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Here Today, Gone Tomorrow? Mapping and modeling the pop-up retail customer journey

Journal of Retailing and Consumer Services, 2020
Pop-up retail and customer journey mapping are widely adopted in the retail industry, yet they have received modest coverage within academic literature to date.
Frances Gunn
exaly   +2 more sources

The Value of Pop-Up Stores on Retailing Platforms: Evidence from a Field Experiment with Alibaba

Management Science, 2019
We study the value of short-lived and experientially oriented pop-up stores, a popular type of omnichannel retail strategy, on both retailers that participate in pop-up store events and retailing p...
Dennis J Zhang   +2 more
exaly   +2 more sources

Pop star fan tourists: An application of self-expansion theory

Tourism Management, 2019
Given the growth of pop culture tourism, fans are recognized as an important destination market segment. This study applied self-expansion theory to examine if pop star fans' self-expansion was a significant motivation to seek fan club membership and ...
Sojung Lee, Billy Bai, James A Busser
exaly   +2 more sources

Increasing experiential value and relationship quality: An investigation of pop-up dining experiences

International Journal of Hospitality Management, 2018
The purpose of this study was to assess the relationships between experiential value-relationship quality, and relationship quality-behavioral intentions within the context of the growing pop-up restaurant industry (pop-ups).
Scott Taylor   +2 more
exaly   +2 more sources

Source-free Depth for Object Pop-out

IEEE International Conference on Computer Vision, 2022
Depth cues are known to be useful for visual perception. However, direct measurement of depth is often impracticable. Fortunately, though, modern learning-based methods offer promising depth maps by inference in the wild.
Zongwei Wu   +7 more
semanticscholar   +1 more source

Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

ACM Multimedia, 2020
A great number of deep learning based models have been recently proposed for automatic music composition. Among these models, the Transformer stands out as a prominent approach for generating expressive classical piano performance with a coherent ...
Yu-Siang Huang, Yi-Hsuan Yang
semanticscholar   +1 more source

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