Albert Lin, Cindy Kao and Heeju Park
This study aims to develop and evaluate a modular smart garment design framework that simplifies the technical content associated with smart garment design.
Abstract
Purpose
This study aims to develop and evaluate a modular smart garment design framework that simplifies the technical content associated with smart garment design.
Design/methodology/approach
Smart garment design challenges were first identified through literature review and interviews. Then, a modular framework and toolkit was created to address these challenges. Finally, workshops were held to evaluate the modular toolkit.
Findings
Interviews highlighted the need for easier attachment of hard devices to soft textile materials, simpler electrical connection creation and straightforward device selection. A modular framework was proposed and divided into four elements: (1) the Central Computation Module, (2) Peripheral Electrical Modules, (3) Securely Attaching Modules with Substrates and (4) Managing Intra-garment Connections. Workshops showed the modular framework had statistically significant improvements in function and certain ease ratings when compared to non-modular components.
Originality/value
This research identified specific technical challenges faced by smart garment designers and alleviated them through a modular smart garment framework that in workshops outperformed non-modular components in key function and ease ratings.
Details
Keywords
The study utilized the consumption value theory to explore the motivational factors that define and differentiate the users and nonusers of fashion rental services
Abstract
Purpose
The study utilized the consumption value theory to explore the motivational factors that define and differentiate the users and nonusers of fashion rental services
Design/methodology/approach
A focus group was conducted to generate an initial list of measurement items. These items were refined through a pretest and then used in a self-administered online questionnaire to collect data from a total of 300 users and 300 nonusers. The collected data were analyzed using factor analysis to identify the factors that define users and nonusers. A MANOVA was then conducted to explore the differences in the identified factors between users and nonusers.
Findings
Using factor analysis, nine factors were extracted across the five consumption values (functional, social, emotional, conditional and epistemic). MANOVA revealed a significant difference between users and nonusers across all factors. Further analyses suggested that the most differentiating factors are two emotional value factors and one social value factor.
Originality
Despite existing studies of fashion rental services, it is debatable whether the phenomenon is fully understood since previous studies primarily focus on consumers who engage in fashion renting services – there is a lack of focus on nonusers. This study provides unique contributions by exploring the phenomenon from both the user's and the nonuser's perspective.
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Keywords
Given this casting of the problem, the logical question by the late 1980s had become, how should government craft policy tools to motivate stronger efforts by local educators? A…
Abstract
Given this casting of the problem, the logical question by the late 1980s had become, how should government craft policy tools to motivate stronger efforts by local educators? A variety of central governments in the West had tried to lift children's learning curves through new funding for particular categories of students, along with tighter regulation of how these dollars must be spent. But this assumed that legislators and education bureaucrats knew how to best organize instructional “inputs” and social relations inside classrooms. The conceptual breakthrough with the new buzz around standards-based or performance-focused reform was that government would concentrate on clarifying learning outcomes, leaving local educators to tailor school inputs and pedagogical practices. (Several chapters in this volume show how, in fact, central governments have difficulty resisting the exercise of control over output standards and input mixes.)
Suha Fouad Salem and Alshaimaa Bahagat Alanadoly
The main objective is to investigate the effects of antecedents of word-of-mouth (WOM) towards sustainable fashion, using the Personality Traits theory. More specifically, this…
Abstract
Purpose
The main objective is to investigate the effects of antecedents of word-of-mouth (WOM) towards sustainable fashion, using the Personality Traits theory. More specifically, this study wants to examine the impact of the Big Five personality traits on social media activities, which could affect eco-friendly behaviour and environmental concerns for fashion production. This impact is influenced by the use of WOM on sustainability in the fashion industry.
Design/methodology/approach
The partial least squares structural equation modelling (PLS SEM) technique is used to evaluate the internal and external measurement model with a sample size of 272.
Findings
The three most active personality traits on social media are extraversion, openness to experience and agreeableness. Additionally, the active use of social media has a positive impact on the optimisation of users' eco-friendly behaviour and an increase in users' concerns for fashion production. Eco-friendly behaviour and environmental concerns for fashion production are important factors that lead to the spread of WOM.
Originality/value
This study contributes to the existing literature by evaluating the effects of the Big Five personality traits on using social networking and how will this improve the creation of WOM towards sustainability. This study is among the several scientific studies which combine the theory of Big Five personality traits with social networking, green behaviour and the WOM in a sustainability context.