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Evaluating the Effectiveness of the TCCM Framework in Defining Digital Fashion End-Products
Research Gap:
In the existing literature there is no framework for defining and classifying digital fashion end-products. This lack of a clear framework yields inconsistency in terms of both the language used in the academia and the traditional (physical) fashion-related experiences in practice.
Theoretical Foundation:
TCCM Framework (Paul & Rosado-Serrano, 2019)
Objectives:
Research Questions:
Methodology:
Conduct qualitative analysis via interviews with experts (academics, industry people) and a comparative literature review.
Key References:
Exploring Consumer Acceptance of Digital Fashion End-Products Using the Technology Acceptance Model (TAM)
Research Gap:
While the TAM has been used for various digital technologies, few studies have examined its application to digital fashion end-products, especially in terms of perceived enjoyment and usefulness.
Theoretical Foundation:
Technology Acceptance Model (Davis, 1989)
Objectives:
Research Questions:
Methodology:
Quantitative survey of UK consumers aged 18 to 35 years-old, analysed using Structural Equation Modelling (SEM).
Key References:
Assessing Industry Perceptions of Digital Fashion End-Products in the UK Fashion Sector
Research Gap:
There is a lack of understanding of the way stakeholders from the fashion industry conceive the concept of digital fashion end-products, including the perceived challenges and opportunities.
Theoretical Foundation:
Diffusion of Innovations Theory (Rogers, 2003)
Objectives:
Research Questions:
Methodology:
Qualitative in-depth interviews with professionals representing different UK fashion brands, retailers, and design studios.
Key References:
Investigating the Impact of the Body Image on Adoption of AR-Based Digital Fashion
Research Gap:
To date, there has been no empirical research linking satisfaction with body image to consumer acceptance of the AR-based digital-fashion product, but this factor seems to affect consumer decision making.
Theoretical Foundation:
Self-Discrepancy Theory (Higgins, 1987)
Objectives:
Research Questions:
Methodology:
Multi-methods approach, in that data will be collected through surveys concerning body-image satisfaction; focus groups will be conducted to discuss AR-based fashion experiences.
Key References:
Studying Consumer Perceptions about Different Formats: Classifying Digital Fashion End-Products
Research Gap:
Linguistic uncertainty is placed on the classification of the digital fashion end-products, which has led to consumer confusion and marketing inconsistency.
Theoretical Foundation:
Categorization Theory (Rosch, 1978)
Objectives:
Research Questions:
Methodology:
Qualitative study using a thematic analysis of qualitative interviews and a focus group talking about consumer experiences using digital fashion products.
Key References:
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