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Article
Publication date: 1 February 1998

K.F. Choi, G.A. Carnaby, T.M. Shih, M.T. Lo and S.K. Tandon

A refined singles yam torsional model was built based on a previously developed singles yam model(1). The initial yam density distribution was found to be a very important yam…

36

Abstract

A refined singles yam torsional model was built based on a previously developed singles yam model(1). The initial yam density distribution was found to be a very important yam parameter governing the torsional property of singles yams. Detailed study of the differential volumetric changes within the yam has shown that jamming of the structure is the key factor initiating longitudinal tensile and compressive strains in the fibres. The yam model was summarised in the form of a system of non-linear equations and the solution finding algorithm was presented.

Details

Research Journal of Textile and Apparel, vol. 2 no. 1
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 2 July 2020

Xiaoxi Zhou, Jianfei Meng, Guosheng Wang and Qin Xiaoxuan

This paper examines the problem of lack of historical data and inadequate consideration of factors influencing demand in the forecasting of demand for fast fashion clothing and…

1169

Abstract

Purpose

This paper examines the problem of lack of historical data and inadequate consideration of factors influencing demand in the forecasting of demand for fast fashion clothing and proposes an improved Bass model for the forecasting of such a demand and the demand for new clothing products.

Design/methodology/approach

From the perspective of how to solve the lack of data and improve the precision of the clothing demand forecast, this paper studies the measurement of clothing similarity and the addition of demand impact factors. Using the fuzzy clustering–rough set method, the degree of resemblance of clothing is determined, which provides a basis for the scientific utilisation of historical data of similar clothing to forecast the demand for new clothing. Besides, combining the influence of consumer preferences and seasonality on demand forecasting, an improved Bass model for a fast fashion clothing demand forecast is proposed. Finally, with a forecasting example of demand for clothing, this study also tests the validity of the method.

Findings

The objective measurement method of clothing similarity in this paper solves the problem of the difficult forecasting of demand for fast fashion clothing due to a lack of sales data at the preliminary stage of the clothing launch. The improved Bass model combines, comprehensively, consumer preferences and seasonality and enhances the forecast precision of demand for fast fashion clothing.

Originality/value

The paper puts forward a scientific, quantitative method for the forecasting of new clothing products using historical sales data of similar clothing, thus solving the problem of lack of sales data of the fashion.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 1
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 1 May 2001

Y.L. Kwok, C.S. Sung and K.F. Choi

School uniform is regarded as children’s daily wear, which is restricted to wear for more than 5 times per week. However, available information shows that some parents and…

136

Abstract

School uniform is regarded as children’s daily wear, which is restricted to wear for more than 5 times per week. However, available information shows that some parents and children are not satisfied with the existing school uniforms. Therefore, it is meaningful and valuable to investigate this area. From the existing information, it shows that people are dissatisfied with the existing school uniforms. It is because they are not suitable for children's physical and psychological development. Therefore, improvements in school uniforms are needed. Information on new design of school uniform was obtained through literature review, observation, interview and questionnaire surveys. Finally, new school uniforms were designed based on child development.

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Research Journal of Textile and Apparel, vol. 5 no. 2
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 1 May 2003

Pris W.S. Yu, Priscilla Y.L. Chan and K.F. Choi

People differ in the degree to which they exercise control over their expressive behaviour and self-presentation. This can be measured by a self-monitoring scale. Studies have…

311

Abstract

People differ in the degree to which they exercise control over their expressive behaviour and self-presentation. This can be measured by a self-monitoring scale. Studies have shown that the consumer behaviour of high and low self-monitors is always different and that an understanding of the relationship can help marketers and advertisers develop effective marketing promotions and strategies to capture their target consumers. The teenage years are a period of transition from childhood to adulthood, and teenagers use clothing as a way of expressing their identity. Teenagers also make up a large part of the market and are therefore of interest for researchers.

This paper investigates the relationship between the buying behaviour and self-monitoring of teenagers (13-19 ages old) using Snyder’s Self-Monitoring Scale. The results show that teenagers exhibit different consumer behaviour. A cluster analysis of consumer attitudes towards the selection of apparel can be classified into three major types: practical, brand- and quality-oriented, as well as easy-going.

Details

Research Journal of Textile and Apparel, vol. 7 no. 2
Type: Research Article
ISSN: 1560-6074

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Book part
Publication date: 4 December 2018

Indranarain Ramlall

Abstract

Details

The Banking Sector Under Financial Stability
Type: Book
ISBN: 978-1-78769-681-5

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Article
Publication date: 13 June 2008

Zhixun Su, Xiaojie Zhou, Guohui Zhao, Xiuping Liu and Ka‐Fai Choi

The aim of this paper is to develop a new method to predict the potential shrinkage of plain‐knitted fabric.

561

Abstract

Purpose

The aim of this paper is to develop a new method to predict the potential shrinkage of plain‐knitted fabric.

Design/methodology/approach

The presented method is based on deformable curve. The delivered plain‐knitted fabric is represented as a deformable parametric curve, and the relaxed fabric can be reached by minimizing the energy of the curve. Compared to the delivered‐knitted fabric, the length and width shrinkage percentages can be calculated accordingly.

Findings

The new method is more convenient than the traditional trial and error method, and need less‐input parameters than the STARFISH technique. Experimental results show that this method is feasible.

Originality/value

This paper presents a new method for shrinkage prediction of plain‐knitted fabric based on deformable curve and energy minimum. The work can be linked with shrinkage control in textile industry.

Details

International Journal of Clothing Science and Technology, vol. 20 no. 4
Type: Research Article
ISSN: 0955-6222

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Book part
Publication date: 1 March 2012

Eva Heidhues and Chris Patel

International harmonization of accounting standards and the move toward convergence have revived an increasing interest in the influence of culture in accounting and auditing. The…

Abstract

International harmonization of accounting standards and the move toward convergence have revived an increasing interest in the influence of culture in accounting and auditing. The growing number of countries adopting IFRS and the increasing acceptance of International Standards on Auditing (ISA) has further raised researchers’ attention. For example, more than 100 countries require or permit the use of IFRS, with more countries, such as Canada, India, and Korea, planning to adopt IFRS by 2011 (Deloitte Touche Tohmatsu, 2007; IASB, 2007a, 2007b). This move toward convergence is driven largely on assumptions and assertions based on enhancing international comparability of accounting and auditing information.

Details

Globalization and Contextual Factors in Accounting: The Case of Germany
Type: Book
ISBN: 978-1-78052-245-6

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Article
Publication date: 2 January 2024

Haisang Liu, Gaoming Jiang and Zhijia Dong

The warp-knitted fully-formed shorts are one kind of fully-formed garments knitted by a double-needle bar machine, which is widely used in the medical field. Because of its…

121

Abstract

Purpose

The warp-knitted fully-formed shorts are one kind of fully-formed garments knitted by a double-needle bar machine, which is widely used in the medical field. Because of its distinctive forming method, designers are unable to grasp the final effect of the product accurately during the design process. The purpose of this paper is to clarify a visible 3D simulation method in the design process along with the knitting method and structure characteristics, which is reflected in the final product effect.

Design/methodology/approach

This study introduces a simulation process for warp-knitted fully-formed fabric from an input 3D surface model group. Stitch mesh models are established according to the garment structure and the triangle index of the garment model that swchape-controlling points belong to is calculated. The garment model group includes a 2D plate and a 3D model, between which there is a space coordinate transformation relationship. The study makes use of the 3D tubes to connect the coordinate points in order and render the tubes in real yarn colors. The effects of two parameters, radial segment and tubular segment, are analyzed and decided to obtain a fine surface within a reasonable rendering time.

Findings

A stereoscopic simulation process from flat fabric to 3D product is realized using computer graphics technology. The warp-knitted fully-formed short is shown during the design process within a short time by setting the rendering parameters of tubular segments (ts = 125) and radial segments (rs = 6).

Originality/value

Visual simulation for the shorts provides a time-saving and resource-saving method for structure design and parameter modification before knitting. There is no need to knit samples repeatedly to satisfy demand, which indicates that it is a saver of time and resources.

Details

International Journal of Clothing Science and Technology, vol. 36 no. 1
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 11 April 2021

Gamini Lanarolle

The purpose of this paper is to develop mathematical relationships to calculate the loop length to knit compact plain knitted fabrics and to validate the model using the fabric…

113

Abstract

Purpose

The purpose of this paper is to develop mathematical relationships to calculate the loop length to knit compact plain knitted fabrics and to validate the model using the fabric parameters of commercial fabrics.

Design/methodology/approach

Ellipse defines the shape of the head of a knitted loop and straight lines define the arms of a knitted loop. The mathematical relationships developed relate the yarn count to the loop length of compact knitted fabrics. The experimental data and the data from previous similar research validate the accuracy of the mathematical model.

Findings

The model can calculate loop lengths to knit compact plain knitted fabrics in terms of thickness of the yarn and the coefficient defined to express the ratio of minor axis to major axis of the ellipse that defines the shape of the head of the loop. The mathematical model can deliver several loop lengths to produce compact plain knitted fabrics for different values of this coefficient. For commercial fabrics the error of the model was 0.53%.

Originality/value

The present model defines the head of the loop as an ellipse. The uniqueness of the present model is that several ellipses can exist for any given yarn thickness for a range of values assigned to the minor axis of the ellipse. The accuracy of the model against experimental data ascertains that the model is closer to the reality for commercial fabrics and proves the uniqueness of the model. Further, this model is an ideal and a simple model to introduce knitted loop configurations in teaching knitted fabric geometry.

Details

Research Journal of Textile and Apparel, vol. 25 no. 4
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 7 September 2020

Fatemeh Abdolshah, Saeed Moshiri and Andrew Worthington

The Iranian banking industry has been greatly affected by dramatic changes in macroeconomic conditions over the past several decades owing to volatile oil revenues, changing…

564

Abstract

Purpose

The Iranian banking industry has been greatly affected by dramatic changes in macroeconomic conditions over the past several decades owing to volatile oil revenues, changing fiscal and monetary policies, and the imposition of US sanctions. The main objective of this paper is to estimate potential credit losses in the Iranian banking sector due to macroeconomic shocks and assess the minimum economic capital requirements under the baseline and distressed scenarios. The paper also contrasts the applications of linear and nonlinear models in estimating the impacts of macroeconomic shocks on financial institutions.

Design/methodology/approach

The paper uses a multistage approach to derive the portfolio loss distribution for banks. In the first step, the dynamic relationship between the selected macroeconomic variables are estimated using a VAR model to generate the stress scenarios. In the second step, the default probabilities are estimated using a quantile regression model and the results are compared with those of the conventional linear models. Finally, the default probabilities are simulated for a one-year time horizon using Monte-Carlo method and the portfolio loss distribution is calculated for hypothetical portfolios. The expected loss includes the loss given default for loans drawn randomly and uniformly distributed and exposed at default values when loans are assigned a fixed value.

Findings

The results indicate that the loss distributions under all scenarios are skewed to the right, with the linear model results being very similar to those of quantile at the 50% quantile, but very unlike those at the 10% and 90% quantiles. Specifically, the quantile model for the 90% (10%) quantile generates estimates of minimum economic capital requirement that are considerably higher (lower) than those using the linear model.

Research limitations/implications

The study has focused on credit risk because of lack of data on other types of risk at individual bank level. The future studies can estimate the aggregate economic capital using a risk aggregation approach and a panel data (not presently available), which could further improve the accuracy of the estimates.

Practical implications

The fiscal and monetary authorities in developing countries, specially oil-exporting countries, can follow the risk assessment approach to assess the health of their banking system and adapt policies to mitigate the impacts of large macroeconomic shocks on their financial markets.

Originality/value

This is the first paper estimating the portfolio loss distribution for the Iranian banks under turbulent macroeconomic conditions using linear and nonlinear models. The case study can be applied to other developing and emerging countries, particularly those highly dependent on natural resources, prone to extreme macroeconomic shocks.

Details

Journal of Economic Studies, vol. 48 no. 2
Type: Research Article
ISSN: 0144-3585

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