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Exercising is a key approach adopted by muscular dystrophy patients to halt the weakening of muscles as it can eventually lead to serious immobility issues. Though it is essential to exercise on a daily basis for healthy living, there is no mention of any research effort in the current literature regarding the development of an apparel product for these mobility-affected patients that might assist them both in meeting their exercising needs and providing them some comfort in their daily living. Thus, this paper aims to focus on identifying the specific needs of muscular dystrophy victims and proposing special adaptive clothing solutions to support their daily exercise and mobility needs.

To achieve the objectives of this study, attention was focused on the muscular dystrophy afflicted women in Sri Lanka. Semi-structured interviews were conducted with the female victims of muscular dystrophy and their lifestyles were observed carefully; additional data were gathered by holding semi-structured interviews with their physiotherapists. Further, interviews were conducted with both garment technologists and fabric technologists too. Data gathered through these methods were analyzed qualitatively using the principles of thematic analysis and then aggregate conclusions were drawn.

It was observed that the patients were engaged in special activities such as exercising three times a day besides following their normal day-to-day activities to maintain and develop muscle strength. It soon became evident that these women found it difficult to perform their daily exercise routines with their regular clothing and were looking for custom made clothing they could wear all day long in comfort and avoid the problems that arose while exercising. The study specifies the requirements that must be met to satisfy both generic and specific needs. Considering all these aspects some adaptive clothing solutions were proposed to support daily exercising activity with respect to comfort, convenience, health and safety, as well as socio-cultural and psychological needs.

The area of fusing generic and specific features to support the daily exercising needs of muscular dystrophy victims is an untouched field of experimentation and being a need of the disabled, the present study marks a milestone on the way to a novel area of apparel design, besides exploring a new field of research.

The purpose of this study was to explore the determinant factors of the adaptive clothing market for disabled customers and to identify the influential elements in the fashion industry, with the aim of establishing the influential factors that drive the adaptive apparel business in the local market. The study developed a path model of relationships incorporating the disabled consumer background, consumer purchase intention and demand and elements of the fashion industry. This model can be used as a reference for fashion practitioners.

A quantitative approach was adopted for this empirical study. A survey was designed to investigate the connections between the consumer-related and industry-related variables. A set of measurements was developed and validated for the survey. The data were collected from a sample of 175 local wheelchair users, with a response rate of approximately 6.6 per cent. The data were analysed using SmartPLS, and structural equation model analysis was applied to identify the relationships between the variables.

The results of this study demonstrated that consumer purchase intention for adaptive apparel was affected closely by environmental factors, and consumer demand was significantly related to industry aspects including the product complexity and the business operations along with all elements of the industrial practice. The findings also revealed that the disability level was related to the users' purchase intentions, but the financial capability of the disabled consumers did not affect the intention to purchase adaptive clothes products. These results could suggest that economic issues are not the consumer's prior concern when purchasing apparel, but rather the disability condition. Those who demand adaptive apparel require advanced performance levels of product design, technology application and service.

The study originated from the situation that the Hong Kong fashion market lacks an adaptive market specifically for the minority group of disabled consumers. Why such a niche market has not been developed is unclear to the practitioners. It is necessary to investigate from both consumer-related and industry-related factors. Specifically, the research explored the consumer background and industry elements to identify the factors that influence disabled consumers to purchase apparel, in order to inform fashion practitioners who are interested in the niche market of disabled consumers in Hong Kong. It is anticipated that the determinants of adaptive market development can be extended to wider areas of the Chinese or other Asian markets.

The goal of this study was to explore the development of the first-of-its-kind mainstream adaptive apparel line for children through the collaboration of an adaptive apparel advocate and an apparel brand.

To achieve this goal, the study used the resource advantage (RA) and first-mover advantage theory to conduct a case study investigating the lived experiences of Mindy Scheier as she created the adaptive apparel movement and collaborated with Tommy Hilfiger® to launch the first-of-its-kind mainstream adaptive apparel line for children.

The result of the case study revealed two dominant themes: (1) “I am going to educate the entire industry” and (2) “You mean no mainstream brands have done this before?” Using RA theory and first-mover advantage theory, the themes illustrated the advocate's position as a key competitive resource, how she leveraged the key competitive resources with an apparel brand, and subsequently, how the brand, using the advocate as a key competitive resource, established a first-mover advantage in the adaptive apparel market to develop the first-of-its-kind mainstream adaptive apparel line for children in the marketplace.

This study demonstrated how RA theory could be applied to the partnership between an advocate and an apparel firm and how the key resources acquired and utilized by the advocate support a competitive advantage within the adaptive apparel marketplace.

This study aimed to gain an in-depth and contextualized understanding of what impacted Scheier's commitment to addressing the apparel challenges of people with disabilities (PWDs) and how moral duty may have played a role in developing the adaptive design innovations used in the first-of-its-kind adaptive children's wear line.

To achieve this goal, the study used the duty orientation (DO) theory and the social model of disability (SMD) theory to conduct a case study investigating Mindy Scheier's commitment to addressing the apparel challenges facing PWDs.

The result of the case study revealed three dominant themes that aligned with the DO theory: (a) duty to all PWDs, (b) duty to sacrifice and fight against all odds and (c) duty to solve the apparel challenges facing PWDs. Using the DO and the SMD theories, the themes illustrated how moral duty impacted Scheier's sacrifice and feeling of personal responsibility to address and solve the apparel challenges facing all PWDs.

This study demonstrated how the DO theory contextualized the launch of adaptive apparel into the mainstream fashion industry and how the apparel industry seems to have transitioned from a medical model of disability approach to an SMD to address the apparel needs of PWDs.

This paper discusses how shape memory alloy can be engineered to provide new design concepts that enhance the aesthetic appeal of knitted textiles for apparel. It focuses on the range of techniques and processes used to accommodate the specific characteristics and requirements of the shape memory alloy and it describes a new approach to the overall design construct.

To achieve the building and property by 2050, decarbonisation goals will now require a significant increase in the rate of improvement in the energy performance of buildings. Occupant behaviour is crucial. This study seeks to guide the application of smart building technology in existing building stock to support improved building energy performance and occupant comfort.

This study follows a logical partitioning approach to the development of a schema for building energy performance and occupant comfort. A review of the literature is presented to identify the characteristics that label and structure the problem elements. A smart building technology framework is overlaid on the schema. The framework is then applied to configure and demonstrate an actual technology implementation for existing building stock.

The developed schema represents the key components and relationships of building energy performance when combined with occupant comfort. This schema provides a basis for the definition of a smart building technologies framework for existing building stock. The study demonstrates a viable configuration of available smart building technologies that couple building energy performance with occupant comfort in the existing building stock. Technical limitations (such as relatively simple building management control regimes) and pragmatic limitations (such as change management issues) are noted for consideration.

This is the first development of a schema to represent how building energy performance can be coupled with occupant comfort in existing building stock using smart building technologies. The demonstration study applies one of many possible technology configurations currently available, and promotes the use of open source applications with push-pull functionality. The schema provides a common basis and guide for future studies.

The purpose of this paper was to examine consumer perceptions of aesthetic attributes of textile-based assistive devices (ADs) and the language used by consumers to express those perceptions and concerns. Previous investigations of user feedback for ADs have largely focused on functional attributes rather than aesthetics.

An interpretivist research philosophy was selected to investigate the meaning behind consumer perceptions and to understand their viewpoints on the aesthetic dimensions of ADs. Using product reviews for two ADs sold on Amazon.com as data, the researchers conducted qualitative data analysis through coding and interpretation of meanings behind reviews to determine consumers’ perceptions related to their ADs.

The authors identified consumer concerns linking to aesthetics evidenced as a multisensory integration of visual, tactile and olfactory cues. Consumer-preferred language used to address aesthetic preferences was found to supplement the literature. Aesthetic considerations were found to be impactful on avoiding stigma and encouraging or discouraging continued use of the devices.

Findings may contribute to the development of textile-based ADs with improved aesthetics to enhance user experiences. New ways of using consumer language to interpret user needs may assist in future research and design practice for consumer products.

The use of consumer product reviews as a rich source of user data is discussed in this paper. As previous research on assistive technology has largely focused on functionality, results of this analysis offer insight into consumers’ aesthetic judgments related to ADs and bring a sensory perspective to the research area.

This paper aims to fuse some ideas within different domains perceived to have some resonance together with the purpose to assist the development of the artificial world using a novel perspective on design and cybernetics in the context of the Chinese notions of “Li”.

This is a conceptual paper that reviews concepts related to the design of socio‐technical situations through a trans‐disciplinary perspective. One method used to develop ideas was participation in the American Society of Cybernetics Conference – C:ADM 2010 and enable its participants to influence initial ideas presented by the authors.

The paper provides a way of approaching the design of “dynamics” in the conceptualisation of artefacts in the widest sense of the term, and provides insights about designing future products, services and systems along with the education of designers in this.

The trans‐disciplinary approach to topics covered by the paper results in some compromises in disciplinary terms, and it has a more intuitive approach than might be taken within the disciplines alone. The discussion is enhanced by this approach however, researchers are encouraged to follow up particular aspects within a disciplinary approach as well.

The paper includes some examples of designs to illustrate the practical application of concepts discussed and how these may be incorporated into design education.

The interrelationship of the Chinese notions of “Li”, second‐order cybernetics, and four‐dimensional design is an original contribution. In addition the recommendation for design education generally, and a course for engineers at South China University of Technology, Guangzhou in particular, to assist students' “innovation consciousness” is of value.

By drawing on protection motivation theory, this study explores consumers' motivation to engage in adaptive behaviour envisioned through a transition from offline to online clothing purchasing during the COVID-19 pandemic. Additionally, this paper explores the conditioning effects of consumer resilience and satisfaction with retailers' assistive intent through the consumer well-being framework.

A total of 363 useable surveys were obtained from Croatian consumers. Data were analysed with confirmatory factor analysis and structural equation modelling.

Coping appraisal positively impacts adaptive behaviour by increasing online clothing purchase intention, while threat appraisal has no direct effect on adaptive behaviour. The relationship between threat appraisal and adaptive behaviour is negatively moderated by consumer resilience and satisfaction with the retailer's assistive intent.

Limitations include the convenience sampling method and data collection at one point as well as the focus on consumers from one country.

This study provides a blueprint for designing marketing actions that retail managers should consider to respond to a crisis effectively while maintaining satisfactory buying experiences during health crises and other challenging events.

Given the unique research context, i.e. the COVID-19 pandemic, this study is one of the few and the first in Croatia to unfold the importance of protection motivation theory in providing a greater understanding of consumer's adaptive behaviour (transition from offline to online) in online clothing retail channels during the period of the global health-related crisis. Benefits from understanding consumers' coping and threat appraisal mechanisms while addressing their buying needs in adverse circumstances are revealed. In addition, the theoretical implications regarding the conditional effects of consumer resilience and consumer satisfaction with retailers' assistive intent during a pandemic are also provided.

Demand forecasting in the clothing industry is very complex due to the existence of a wide range of product references and the lack of historical sales data. To the authors' knowledge, there is an inadequate number of literature studies to forecast the demand with the adaptive network based fuzzy inference system for the clothing industry. The purpose of this paper is to construct a decision support system for demand forecasting in the clothing industry.

The adaptive‐network‐based fuzzy inference system (ANFIS) is used for forecasting demand in the clothing industry.

The results of the proposed study showed that an ANFIS‐based demand forecasting system can help clothing manufacturers to forecast demand more accurately, effectively and simply.

In this study, the demand is forecast in terms of clothing manufacturers by using ANFIS. ANFIS is a new technique for demand forecasting, it combines the learning capability of the neural networks and the generalization capability of the fuzzy logic. The input and output criteria are determined based on clothing manufacturers' requirements and via literature research, and the forecasting horizon is about one month. The study includes the real life application of the proposed system and the proposed system is tested by using real demand values for clothing manufacturers.