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1 – 3 of 3Chenxia Zhou, Zhikun Jia, Shaobo Song, Shigang Luo, Xiaole Zhang, Xingfang Zhang, Xiaoyuan Pei and Zhiwei Xu
The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their…
Abstract
Purpose
The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.
Design/methodology/approach
This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.
Findings
The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.
Originality/value
This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.
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Digital-only fashion represents an ideal fusion of sustainability and fashionability, garnering growing interest among fashion professionals. However, there is a noticeable gap in…
Abstract
Purpose
Digital-only fashion represents an ideal fusion of sustainability and fashionability, garnering growing interest among fashion professionals. However, there is a noticeable gap in research focusing on digital-only fashion acceptance among consumers. Hence, this study aims to empirically examine consumers’ motivations, evaluations and acceptance of digital-only fashion based on the Functional Theory of Attitudes.
Design/methodology/approach
A US-based research agency was hired to collect data, resulting in 247 completed survey responses. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach.
Findings
Testing results highlight that consumer acceptance of digital-only fashion is directly influenced by both overall attitude and self-expressive attitude. Self-expression is particularly pivotal in digital-only fashion acceptance. Adorning avatars and dressing realistic on-screen bodies are distinct yet complementary aspects of using digital-only fashion. Consumers with positive environmental beliefs about digital-only fashion are concerned about how well digital-only fashion items allow them to express such beliefs.
Originality/value
This study innovatively applied the functional theory of attitudes to the emerging domain of digital-only fashion and identified consumers’ four functional attitudes toward digital-only fashion, along with the underlying motivations served by each functional attitude. Furthermore, this study provides valuable practical insights across the digital-only fashion value chain.
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Hu Meng, Xinran Xu and Tianyue Tian
The purpose of this paper is to explore the influential mechanism of consumer behaviour and identity towards Neo-Chinese fashion from the perspectives of cultural identity and…
Abstract
Purpose
The purpose of this paper is to explore the influential mechanism of consumer behaviour and identity towards Neo-Chinese fashion from the perspectives of cultural identity and emotional self-regulation mechanism.
Design/methodology/approach
Through empirical methods such as questionnaire surveys and regression analysis, nine hypotheses were proposed and tested based on 253 valid samples.
Findings
The results indicate that perceived value has a significant positive impact on pride emotion, anxiety emotion and cultural identity, respectively. Cultural pride (anxiety) emotion also has a significant positive (negative) impact on identity. The study also finds that anxiety emotion plays a significant mediating effect in the relationship between perceived value and cultural identity, which of country-of-origin plays a significant negative moderating role.
Originality/value
This paper reveals the psychological mechanisms and implementation paths through which fashion consumption and Neo-Chinese design drive cultural identity. It provides a theoretical basis for optimizing and innovating strategies to guide the evolution of Neo-Chinese cultural identity in the new context.
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