The role of interactive technologies in the physical retail fashion store
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Numerous fashion brands have integrated interactive technology into their retail spaces to offer consumers immersive digital experiences. This technology empowers customers, acting as store visitors, to actively engage with the brand's digital realm while simultaneously experiencing the physical store environment. However, the existing literature reveals a significant research gap in the integration of interactive technology within physical retail environments, particularly in fashion stores. The purpose of this research was to explore the role of interactive technology in retail design. More specifically, it focuses on investigating the impact that interactive technology has on customer engagement and shopping experiences within fashion retail environments. The research adopted a case study approach, selecting five cases including Canada Goose, Burberry, Ralph Lauren, Lily, and Uniqlo. Data were collected via semi-structured interviews with 27 experts directly involved in the selected cases. The data were analysed using a thematic analysis approach with six stages: data familiarisation, initial code generation, searching for themes, reviewing themes, defining and naming themes, and producing the report. The findings are presented thematically, with three main themes and twelve subthemes. These provide insights and narratives for responding to the research questions. The contributions indicate the role of interactive technology in enhancing the retail store, which are: (1) stimulating dynamic and multi- dimensional experiences, (2) supporting channel integration and gamification, (3) encouraging social media engagement and promotional footprints, and (4) extending in-store engagement and strengthening the relationship between brands and customers. By embedding interactive technology, retailers can create an environment that not only meets but exceeds the expectations of modern consumers, blending physical and digital realms into a cohesive and engaging retail experience.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it