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Article
Publication date: 6 June 2008

Hu Shaolin, Sun Guoji, Ouyang Huajiang and Chen Rushan

The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto‐regressive (CAR) processes.

Abstract

Purpose

The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto‐regressive (CAR) processes.

Design/methodology/approach

Model‐based approach is adopted in this paper. Two series of fault‐tolerant iterative estimators are set up to estimate online the coefficients in a CAR process. Based on these fault‐tolerant estimators, the detailed detecting and identifying algorithms are obtained for not only the pulse‐type faults but also the step‐type faults in CAR process.

Findings

This paper illustrates the useful information that can be obtained from residuals and that can be used to detect pulse‐type faults as well as step‐type faults. A fault‐tolerant recursive estimator for the coefficients of the CAR process is put forward. Using a simple transformation from step‐ to pulse‐type faults, all kinds of diagnosis methods to detect and identify step‐type faults can be used.

Research limitations/implications

Fault‐tolerant estimators and fault detection and identification algorithms are aimed at abrupt faults in CAR processes.

Practical implications

Most of the algorithms given in this paper can be used in many different fields, such as process monitoring, safety control and change detection, etc.

Originality/value

This paper contributes to research of abrupt faults and abrupt changes in a CAR process and emphasizes identification of magnitudes of abrupt faults. The fault‐tolerant estimators are effective not only to detect faults but also to identify safely the coefficients CAR model.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 1 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

Content available
Article
Publication date: 24 February 2020

Muhammad Sabbir Rahman, Md Afnan Hossain, Md Rifayat Islam Rushan, Mohammad Tayeenul Hoque and Hasliza Hassan

This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR).

Abstract

Purpose

This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR).

Design/methodology/approach

Given the existing literature on brand, multiple stages of studies were conducted as a part of the scale development process. The OFBR scale was validated by a step-by-step process following the scale validation methodology suggested in the specialised literature.

Findings

The results demonstrate the 25 items of five unique factors that form the OFBR construct and confirm the strong validity of the construct. This finding suggests that the five-dimensional approach (online brand familiarity, online visual simplicity, online aesthetic attraction, online brand emotion and online social reputation) plays important role to form OFBR.

Practical implications

A valid and reliable OFBR scale provides a foundation for broadening the understanding on the important constructs that form OFBR, which is essential for online fashion retailing. Knowledge of the crucial antecedents that influence consumers towards online fashion products can enhance marketers’ capability to position their brands towards their target markets.

Originality/value

The relevance of this study lies in validating the scale for measuring OFBR for the first time in the literature on online fashion brand.

Propósito

Este estudio tiene como objetivo desarrollar y validar una escala para medir el reconocimiento de marcas de moda online (OFBR).

Metodología

Partiendo de la literatura de marca, se llevaron a cabo múltiples estudios como parte del proceso de desarrollo de la escala. La escala OFBR fue validada en un proceso de diversas etapas siguiendo la metodología de validación de escalas sugerida en la literatura especializada.

Hallazgos

Los resultados demuestran los veinticinco ítems de cinco factores únicos que forman el constructo OFBR y confirman la validez del constructo. Este hallazgo sugiere que el enfoque de cinco dimensiones (familiaridad con la marca online, simplicidad visual online, atracción estética online, emoción de la marca online y reputación social online) juega un papel importante en la formación de la OFBR.

Implicaciones prácticas

Una escala OFBR válida y fiable proporciona una base para ampliar la comprensión de los constructos importantes que forman OFBR, lo cual es esencial para la venta de moda online. Conocer los antecedentes que condicionan al consumidor al comprar productos de moda online puede mejorar la capacidad del vendedor para posicionar su marca en el mercado objetivo.

Originalidad/valor

El interés de este estudio radica en la validación de la escala para medir la OFBR por primera vez en la literatura sobre la marca de moda online.

Tipo de trabajo

Artículo de investigación

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Article
Publication date: 14 July 2020

Muhammad Sabbir Rahman, Md Afnan Hossain, Mohammad Tayeenul Hoque, Md Rifayat Islam Rushan and Mohammad Iftekhar Rahman

The purpose of this research is to investigate the millennial consumers’ purchasing behavior of fashion clothing brands in the spectrum of brand awareness, brand…

Abstract

Purpose

The purpose of this research is to investigate the millennial consumers’ purchasing behavior of fashion clothing brands in the spectrum of brand awareness, brand schematicity with brand consciousness and brand nationality. This study mainly considered the millennial consumers as they are the most dynamic and discerning segment when choosing a distinct fashion brand.

Design/methodology/approach

The study uses a well-structured questionnaire developed and distributed to 266 millennial respondents using shoping malls and university campus intercept methods. Data were analyzed by applying the structural equation modeling.

Findings

The results show that brand awareness has a mediating effect on the millennials’ purchasing behavior toward fashion clothing brands. The study also confirms the active moderation role of brand schematicity on the purchasing behavior toward fashion clothing brands.

Practical implications

Based on these findings, the fashion clothing retailers should aim to maximize their sales from the millennial segments by enhancing brand awareness. The schematic consumers are more engaged in the numbers of quality hints to make their choice on the fashion clothing brands. Therefore, the practitioners must consider such information, and that should be available in the fashion clothing retail outlets.

Originality/value

The study contributes to the existing literature of the millennials’ purchasing behavior toward the fashion clothing brands. Moreover, research on this segment related to brand awareness and brand schematicity is insufficient, and the current study may add significant value.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1361-2026

Keywords

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Article
Publication date: 30 October 2018

Ya Guo, Zhenhua Sun, Xiaoqing Guo, Yanfen Zhou, Liang Jiang, Shaojuan Chen and Jianwei Ma

At present, the enzyme washing process is widely used in hemp garment in the industry. However, it has many disadvantages. First, it is inefficient and labor-intensive…

Abstract

Purpose

At present, the enzyme washing process is widely used in hemp garment in the industry. However, it has many disadvantages. First, it is inefficient and labor-intensive, which can only be produced in small quantities and will take much time for workers to check. Second, its cost is high. The strength loss of the garment is up to 20 percent, with a bad damage. Presently, the enzyme washing process of the gray fabric is not industrialized. The purpose of this paper is to obtain a stable and efficient process for the enzyme washing of the gray fabric.

Design/methodology/approach

The whiteness, weight loss rate, strength, dyeing property and fabric style of enzyme washed gray fabrics were studied.

Findings

The results showed that the enzyme treated fabric has soft handle, smooth surface, good elasticity and high levelness, as well as low strength reduction rate under the optimized condition of bath ratio of 1:12, cellulase dosage of 0.3 percent, pectinase dosage of 1 g/L, treatment temperature of 55°C, treatment time of 80 min and pH of 6.

Originality/value

First, the process is environment friendly, green and sustainable and, second, it will make the industrialization of the enzyme washing process of gray fabrics, with a high commercial value.

Details

International Journal of Clothing Science and Technology, vol. 31 no. 1
Type: Research Article
ISSN: 0955-6222

Keywords

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