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Record W7005611220

The role of interactive technologies in the physical retail fashion store

2024· other· en· W7005611220 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2024
Typeother
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
Fundersnot available
KeywordsRealmThematic analysisInteractive mediaCustomer engagementSocial mediaInteractive televisionNarrativeDigital mediaFashion industry
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.239
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it