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Article
Publication date: 21 September 2022

Song Thanh Quynh Le and Van Nam Huynh

Task complexity is one of the significant factors that influences and is used for forecasting employee performance and determining labor cost. However, the complexity level of…

238

Abstract

Purpose

Task complexity is one of the significant factors that influences and is used for forecasting employee performance and determining labor cost. However, the complexity level of tasks is unstructured, dynamic and complicated to perform. This paper develops a new method for evaluating the complexity level of tasks in the production process to support production managers to control their manufacturing systems in terms of flexibility, reliability to production planning and labor cost.

Design/methodology/approach

The complexity level of tasks will be analyzed based on the structuralist concept. Using the structure of task, the factors that significantly affect the task complexity in an assembly line will be defined, and the complexity level of the task will be evaluated by measuring the number of task components. Using the proportional 2-tuples linguistic values, the difference between the complexity levels of tasks can be compared and described clearly.

Findings

Based on the structure of the task, three contributory factors including input factors, process-operation factors and output factors that significantly affect the task complexity in an assembly line are identified in the present study. The complexity level of the task is quantified through analyzing the details of the three factors according to two criteria and six sub-criteria within the textile case study.

Originality/value

The proposed approach provides a new insight about the factors that have an effect on the complexity of tasks in production and remedies some of limitations of previous methods. The combination of experts' experience and scientific knowledge will improve the accuracy in determining the complexity level of tasks.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 10
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 4 March 2025

Nhu Ngoc Phan Ha, Thi Kim Hue Trinh and Song Thanh Quynh Le

In the fashion industry, the new product development process is considered as a powerful tool that supports companies to survive and achieve greater success in dynamic markets…

4

Abstract

Purpose

In the fashion industry, the new product development process is considered as a powerful tool that supports companies to survive and achieve greater success in dynamic markets. This study aims to create a predictive model that utilizes data mining techniques to identify the factors that influence customer behavior and estimate their clothing purchase preferences in this process.

Design/methodology/approach

This paper first determined the relationship between the product’s material and prices based on customers’ viewpoints through the K-means clustering technique. In the next step, customers’ preferences were measured through these fashion product’s attributes including colors, forms, styles and patterns by Conjoint analysis.

Findings

By collecting and analyzing data from markets and customers, reliable suggestions were proposed for designing garments that satisfy customers’ demands and raise company profits. These results from the forecasting model could support managers in making the best decisions, being time efficient and saving costs during the new product development process.

Originality/value

This study describes a new understanding of the elements influencing consumers’ behavior that are connected to fashion products. The incorporation of market data and scientific knowledge will improve the success of the new product development process.

Details

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

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Article
Publication date: 13 December 2024

Dat Van Truong, Song Thanh Quynh Le and Huong Mai Bui

This study aims to investigate into the adsorption mechanism of heavy metal ions Pb2+ and methylene blue (MB) dyes on an adsorbent-web formed from kapok fibres (KP) and…

33

Abstract

Purpose

This study aims to investigate into the adsorption mechanism of heavy metal ions Pb2+ and methylene blue (MB) dyes on an adsorbent-web formed from kapok fibres (KP) and polypropylene fibres (PP).

Design/methodology/approach

Initially, the KP underwent pre-treatment with NaClO2 solution, and their morphology and structure changes were examined through scanning electron microscope images. Subsequently, the KP fibres were blended with PP fibres at a ratio of 70 / 30 and processed through a laboratory carding machine to form a fibre web, which was then secured using a heat press to fabricate the adsorbent-web. The resultant adsorbent-web was subjected to evaluation for the adsorption process.

Findings

The findings revealed that the adsorbent-web produced via the dry-laid method exhibited promising attributes, and the adsorption process conformed to the pseudo-second-order model and the Langmuir isotherm model. Parameters such as adsorbent-web porosity, solution pH, and adsorption thermodynamics exerted notable influences on the adsorption capacity of the adsorbent-web. Notably, the adsorbent-web demonstrated remarkable reusability and desorption capacity. In the fifth cycle, the adsorption capacity of adsorbent-web for MB and Pb2+ ions only decreased by 9.13% and 11.48%, respectively, compared to the first cycle. The desorption efficiency of the adsorbent-web exceeded 90% for MB and over 73% for Pb2+ ions.

Originality/value

This study makes a significant contribution to the practical application of KP as an adsorbent-web for treating waste from the textile dyeing industry.

Details

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

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Article
Publication date: 13 August 2024

Nhu Ngoc Phan Ha, Duc Duy Nguyen and Song Thanh Quynh Le

In the apparel industry, suppliers play a significant role, directly affecting customer service levels and business profits. Integrating sustainable requirements into supplier…

169

Abstract

Purpose

In the apparel industry, suppliers play a significant role, directly affecting customer service levels and business profits. Integrating sustainable requirements into supplier selection not only aligns with global environmental goals but also enhances business performance, social responsibility and overall industry well-being. This study aims to design a multi-criteria model to evaluate and select the most sustainable suppliers in the fashion industry, trying to balance the conflicts in the set of sustainable development criteria.

Design/methodology/approach

The integration of analytic hierarchy process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) offers advantages in sustainable supplier selection within the apparel industry. The AHP plays a crucial role in engaging multiple decision-makers with conflicting criteria to reach a consensus during the decision-making process. Conversely, the TOPSIS is used to compute alternative ratings. By simultaneously determining criteria weights and incorporating stakeholder preferences, hybrid models enhance decision-making strength and overcome limitations observed in classical multi-criteria decision-making techniques.

Findings

This research identified and classified 16 critical criteria impacting the selection of apparel industry suppliers, focusing on sustainable development. The criteria were weighted, providing a robust statistical foundation for the selection model. The results indicated that the most influential criteria were staff training, production capability, flexibility and practice of recycling. The proposed sustainable supplier selection model explains to decision-makers how criteria influence supplier ranking results compared to traditional models, supporting managers in making informed and sustainable supply chain decisions through continuous updates and enhancements.

Originality/value

This research provides new insight into the weighted impact of factors related to sustainable supplier selection in the apparel industry. The combination of a precise process and scientific knowledge will improve the quality of sustainable supplier selection.

Details

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

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Article
Publication date: 5 May 2022

Dat Van Truong, Song Thanh Quynh Le and Huong Mai Bui

Kapok was well-known for its oleophilic properties, but its mechanical properties and morphology impeded it from forming suitable absorbent materials. This study aims to…

122

Abstract

Purpose

Kapok was well-known for its oleophilic properties, but its mechanical properties and morphology impeded it from forming suitable absorbent materials. This study aims to demonstrate the process of creating an oil-absorbent web from a blend of treated kapok and polypropylene fibers.

Design/methodology/approach

Kapok fibers were separated from dried fruits, then the wax was removed with an HCl solution at different concentrations. The morphological and structural changes of these fibers were investigated using scanning electron microscopy images. The blending ratios of kapok and polypropylene fibers were 60/40, 70/30 and 80/20, respectively. The fiber blends were fed to a laboratory carding machine to form a web and then consolidated using the heat press technique. The absorption behavior of the formed web was evaluated regarding oil absorption capacity and oil retention capacity according to ASTM 726.

Findings

The results showed that the HCl concentration of 1.0% (wt%) gave the highest wax removal efficiency without damaging the kapok fibers. This study found that oil absorbency is influenced by the fiber blending ratio, web tensile strength and elongation, porosity, oil type and environmental conditions. The oil-absorbency of the web can be re-used for at least 20 cycles.

Research limitations/implications

This study only looked at three types of oils: diesel, kerosene and vegetable oils.

Practical implications

When the problem of oil spills in rivers and seas is growing and causing serious environmental and economic consequences, using physical methods to recover oil spills is the most effective solution.

Originality/value

This research adds to the possibility of using kapok fiber in the form of a web of non-woven fabric for practical purposes.

Details

Research Journal of Textile and Apparel, vol. 28 no. 1
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 3 January 2022

Song Thanh Quynh Le, June Ho and Huong Mai Bui

This paper aims to develop a decision support system for predicting the knitting production’s efficiency based on the input parameters of an order. This tool supports the…

208

Abstract

Purpose

This paper aims to develop a decision support system for predicting the knitting production’s efficiency based on the input parameters of an order. This tool supports the operations managers to make reliable decisions of estimated delivery time, which will result in reducing waste arising from late delivery, overtime and increased labor.

Design/methodology/approach

The decision tree method with a set of logical IF-THEN rules is used to determine the knitting production’s efficiency. Each path of the decision tree represents a rule of the following form: “IF <Condition> THEN <Efficiency label>.” Starting with identifying and categorizing input specifications, the model is then applied to the observed data to regenerate the results of efficiency into classification instances.

Findings

The production’s efficiency is the result of the interaction between input specifications such as yarn’s component, knitting fabric specifications and machine speed. The rule base is generated through a decision tree built to classify the efficiency into five levels, including very low, low, medium, high and very high. Based on this, production managers can determine the delivery time and schedule the manufacturing planning more accurately. In this research, the correct classification instances, which is simply a ratio of the correctly predicted observations to the total ones, reach 80.17%.

Originality/Values

This research proposes a new methodology for estimating the efficiency of weft knitting production based on a decision tree method with an application of real data. This model supports the decision-making process of the estimated delivery time.

Details

Research Journal of Textile and Apparel, vol. 27 no. 2
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 31 October 2024

Nga Quynh Thi Vo, Hien Thanh Thi Dang, Nhat Thong Thi Nguyen and Phuong Kim Thi Tran

This study proposes a serial mediation model to investigate the factors influencing hospitality and tourism (H&T) students' destination choice intentions in an experiential…

53

Abstract

Purpose

This study proposes a serial mediation model to investigate the factors influencing hospitality and tourism (H&T) students' destination choice intentions in an experiential learning context. By extending the theory of planned behavior (TPB) model to include extended variables and the stimulus-organism-response (S-O-R) theory, this study explores pathways in which experiential learning involvement (IEL) and destination emotions (DE) interact with attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC) to predict H&T students' intentions (ITT). This work also examines the moderating role of destination familiarity (DF) on relationships between destination emotions and attitudes, subjective norms and perceived behavioral control.

Design/methodology/approach

The conceptual model and research hypotheses were each assessed using partial least squares structural equation modeling (PLS-SEM). Paper-based surveys were used to collect data from 715 students majoring in tourism and hospitality training at schools in Vietnam and applying experiential learning activities during their training.

Findings

Research results confirm a serial mediation model wherein IEL and DE promote the formation of intention to choose a specific destination through various pathways: IEL? PBC? ITT; IEL? DE? SN/PBC? ITT and DE? SN/PBC? ITT. In addition, the results show that destination familiarity dampens the relationship between emotions and attitudes as well as with perceived behavioral control.

Practical implications

This study offers practical recommendations for destination management organizations (DMOs) seeking to increase the intention of H&T students to choose their particular destination. These recommendations include: forming strategic alliances with H&T educational institutions; implementing preferential policies like discounted or free admission to attractions and corporate discounts for students; launching targeted digital marketing campaigns on social media platforms and promoting the destination through youth-oriented media such as television shows and music videos.

Originality/value

From addressing the research gap by developing and testing a serial mediation model of destination choice intention of H&T students in an experiential learning context, this study offers new insights into developing scales of constructs in the research model associated with the context of experiential learning and highlights the importance of IEL and DE as a stimulus to achieve ATT, SN and PBC, all of which serve to increase H&T students' intention to choose a destination through different paths under the moderating lens of destination familiarly.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

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Article
Publication date: 28 October 2024

Dinh Toan Nguyen, Thi Thu Mai Le, Thi Quynh Mai Nguyen, Nhat Linh Pham, Thi Ngoc Anh Ngo, Thuy Binh Chu and Mai Huong Dinh

This research aims to investigate the relationship between value orientations, attitude, behavioral intention and usage behavior of electric ride hailing service in Vietnam…

98

Abstract

Purpose

This research aims to investigate the relationship between value orientations, attitude, behavioral intention and usage behavior of electric ride hailing service in Vietnam through the moderating role of social influences.

Design/methodology/approach

In total, 552 valid questionnaires were collected using the survey questionnaire to analyze the effects of value orientations on attitude toward electric ride hailing and behavioral intention. Besides, this study investigates the mediating effect of attitude toward electric ride hailing and behavioral intention in the relationship with the behavior usage of electric ride hailing service as well as the moderating effect of social influence.

Findings

Three types of value orientations stimulate attitude toward electric ride hailing service and behavioral intention. In addition, attitude toward electric ride hailing service and behavioral intention play the mediating role in the effect of value orientations on behavior usage. Specifically, social influence plays a negative moderating role in the linkage between attitude towards and behavioral intention of electric ride hailing service and between intention and the behavior usage.

Originality/value

While numerous studies have investigated the influence of customers’ value orientations on multiple green purchase behaviors, this study offers new insights into the moderating role of social influence in the linkages between attitude, behavioral intention and usage behavior of electric ride hailing service.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

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