Guoxiang Yuan, Shouxiang Jiang, Edward Newton, Jintu Fan and Waiman Au
In today’s fashion world, technology has taken on an important role for the creation of novel design effects. As a type of digital technology, laser engraving is applied for…
Abstract
In today’s fashion world, technology has taken on an important role for the creation of novel design effects. As a type of digital technology, laser engraving is applied for decorative purposes with unique fashion design looks. With this technology, simple and complex patterns can be engraved onto the surface of garments by using laser beam scanning. This study explores the application of laser technology on assembled garments for diverse engraved patterns. To improve the visual appearance, different design methods, such as the graphic and resist methods, are applied for carbon dioxide (CO2) laser engraving onto garments made from rayon/polyester blended fabric with optimal laser engraving parameters, including resolution (dpi) and pixel time (μs). This study also reveals the many potential of fashion designs through the use of laser engraving technology. Based on computer-aided design, laser engraving could open up new possibilities for green fashion design with distinct patterns and textures that would cater to the demands of industries and consumers.
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Junzhe Zhao, Minghui Wang, Yongxin Li and Guoxiang Zhao
Using social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the…
Abstract
Purpose
Using social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the mediating role of supervisor felt obligation to organization and the moderating role of supervisor core self-evaluation in this relationship.
Design/methodology/approach
A two-wave survey sampling method was applied to collect 247 pieces of paired data (supervisors-new employees) in organizations in China.
Findings
The results show that supervisor felt obligation to organization mediates the relationship between supervisor perceived organizational support and supervisor developmental feedback. The findings suggest that a high level of supervisor core self-evaluation strengthens the relationship between supervisor perceived organizational support and supervisor felt obligation to organization and then facilitates supervisor developmental feedback.
Originality/value
This study combines two perspectives, organizational factor and supervisor trait, to reveal the occurrence mechanism of supervisor developmental feedback and complements the research on the influencing factors of supervisor developmental feedback. In addition, it provides some theoretical guidance and practical insights into how organizations can motivate supervisors to provide developmental feedback to new employees.
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Yin Kedong, Shiwei Zhou and Tongtong Xu
To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The…
Abstract
Purpose
To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.
Design/methodology/approach
The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.
Findings
Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.
Originality/value
The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.
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Li Xi‐can, Yu Tao, Wang Xiao, Yuan Zheng and Shang Xiao‐dong
The purpose of this paper is to establish the grey‐weighted relationship prediction pattern of the soil organic matter content spectral inversion under the uncertainties between…
Abstract
Purpose
The purpose of this paper is to establish the grey‐weighted relationship prediction pattern of the soil organic matter content spectral inversion under the uncertainties between soil organic matter contents and spectral characteristics and the theory of grey system.
Design/methodology/approach
At first, according to grey‐weighted distance, a new grey relationship model is presented. Second, in order to make full use of the information of grey relationship sequences, the maximum grey relationship discrimination principle is improved and then the soil organic matter content spectral inversion pattern is put forward based on weighted grey recognition theory. A numeric example of Hengshan County in Shanxi Province is also computed in the last part of the paper.
Findings
The results are convincing: not only that soil organic matter content spectral inversion pattern based on the weighted grey recognition theory is valid, but also the model's prediction accuracy is higher; the sample's average prediction accuracy is 94.917 per cent.
Practical implications
The method exposed in the paper can be used at soil organic matter content hyper‐spectral inversion and even for other similar forecast problems.
Originality/value
The paper succeeds in realising both prediction pattern and application of soil organic matter content hyper‐spectral inversion by using the newest developed theories: weighted grey recognition theory.
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Tuna Uysaler, Pelin Altay and Gülay Özcan
In the denim industry, enzyme washing and its combination with stone washing are generally used to get the desired worn-out look. However, these conventional methods include high…
Abstract
Purpose
In the denim industry, enzyme washing and its combination with stone washing are generally used to get the desired worn-out look. However, these conventional methods include high water, energy and time consumption. Nowadays, laser fading, which is a computer-controlled, dry, ecological finishing method, is preferred in the denim fading process. The purpose of this study is to observe the effects of chemical pretreatment applications on laser-faded denim fabric in terms of color and mechanical properties. To eliminate the enzyme washing process in denim fading and to minimize the disadvantages of laser fading, such as decreased mechanical properties and increased fabric yellowness, various chemical pretreatment applications were applied to the denim fabric before laser fading, followed by simple rinsing instead of enzyme washing.
Design/methodology/approach
Two different indigo-dyed, organic cotton denim fabrics with different unit weights were exposed to pretreatment processes and then laser treatment, followed by simple rinsing. Polysilicic acid, boric acid, borax and bicarbonate were used for pretreatment processes, and laser treatment was carried out under optimized laser parameters (40 dpi resolution and 300 µs pixel time). Tensile strength was tested, and color values (CIE L*, a*, b*, ΔE*, C* and h), color yield (K/S), yellowness and whiteness indexes were measured to identify the color differences.
Findings
Before laser fading, 30 g/L and 40 g/L polysilicic acid pretreatments for sulfur-indigo-dyed fabric and a mixture of 10 g/L boric acid and 10 g/L borax pretreatments for the fabric only indigo-dyed were recommended for the laser fading with sufficient mechanical properties and good color values.
Originality/value
With the chemical pretreatments defined in this study, it was possible to reduce yellowness and maintain the mechanical properties after laser fading, thus minimizing the disadvantages of laser treatment and also eliminating enzyme washing.