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Article
Publication date: 17 May 2023

Chunling Liang, Ting Zou, Yan Zhang, Yuanyuan Li and Ping Wang

This paper aims to design a composite, aiming to improve the static puncture resistance through polyurethane impregnated treatment with five concentration gradients.

71

Abstract

Purpose

This paper aims to design a composite, aiming to improve the static puncture resistance through polyurethane impregnated treatment with five concentration gradients.

Design/methodology/approach

The relationship between polyurethane concentration, the number of polyester nonwovens, component fiber type (filament or staple) and the static puncture resistance is explored respectively and elaborately.

Findings

This study provides a new perspective to design flexible composites with better static puncture resistance, feasible preparation process as well as low cost.

Originality/value

The results show that the static puncture resistance of nonwovens impregnated by polyurethane is improved obviously. Meanwhile the puncture strength-T of nonwovens increases first and then decreases with the increase of the number of layers, and the maximum puncture strength-T is found at 20 layers. Moreover, the composite with filaments illustrates better mechanical resistance.

Details

International Journal of Clothing Science and Technology, vol. 35 no. 4
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 6 June 2008

Yen‐Hao Howard Chen and David Corkindale

Research into the use/adoption of online news services (ONSs) is still in its infancy, Scholars have indicated that there is no comprehensive theoretical framework for…

4270

Abstract

Purpose

Research into the use/adoption of online news services (ONSs) is still in its infancy, Scholars have indicated that there is no comprehensive theoretical framework for understanding or predicting consumers' online adoption behavior. The purpose of the paper is to propose a theoretical framework as a foundation for better understanding and further analyzing the adoption of ONSs.

Design/methodology/approach

A literature review was conducted together with a series of in‐depth interviews with selected key industry experts. Three paradigms (i.e. the Diffusion of Innovation Theory, the Technology Acceptance Model, the Uses and Gratifications Theory) were examined and included findings from research into some aspects of online behaviour and these are discussed in relation to the objectives of this paper.

Findings

Six factors are identified as potential key drivers in the adoption of ONSs These are based on the findings from the literature review and the in‐depth interviews with the industry experts. The six factors are: Perceived Usefulness (PU), Perceived Core Service Quality (PCSQ), Perceived Supplementary Service Quality (PSSQ), Trust, Networking, Interface and Subjective Norm. A theoretical framework for better understanding and analyzing the adoption of ONSs is built that shows the relationship among these factors and adoption of ONSs.

Originality/value

For researchers, this paper provides a framework to identify and understand the way the potential key factors contribute to the adoption of online news services. For practitioners, this framework lists the features that specifically attract online news users. Understanding users' preferences is of major importance in e‐businesses for making strategic decisions to increase user satisfaction, as well as improving the performance of the business.

Details

Internet Research, vol. 18 no. 3
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 12 April 2013

Mahesh Joshi, Daryll Cahill, Jasvinder Sidhu and Monika Kansal

The purpose of this paper is to examine the intellectual capital (IC) performance of the Australian Financial Sector for the period 2006‐2008. It also aims to examine the…

6126

Abstract

Purpose

The purpose of this paper is to examine the intellectual capital (IC) performance of the Australian Financial Sector for the period 2006‐2008. It also aims to examine the relationship between IC performance and the financial performance of the financial sector.

Design/methodology/approach

The value added intellectual coefficient (VAIC) approach developed by Pulic is used to determine the IC performance of the Australian financial sector. The required data to calculate different constituents of IC was obtained from the annual reports of Australian Financial Sector companies.

Findings

The value creation capability of financial sector in Australia is highly influenced by human capital. About two thirds of the sample companies have very low levels of intellectual capital efficiency. The performance of various components of VAIC and overall VAIC differs across all subsectors in the financial sector. Investment companies have high value VAIC due to higher a level of human capital efficiency, as compared to banks, insurance companies, diversified financials and RIETs. Insurance companies are more focussed on physical capital rather than human and structural capital leading to lower VAIC.

Research limitations/implications

The paper analyses IC performance of only one sector of the Australian economy and there is a relatively narrow three‐year period for the data collection. However, a comparative analysis of various sub sectors in the Australian financial sector justifies the contributions made by this study.

Practical implications

The findings may serve as a useful input for financial institutions to apply knowledge management in their institutions and in addressing the factors affecting IC performance in order to maximise their value creation. It will also help the management of companies in other sectors, especially those in knowledge‐based industries, in understanding the contributions of various components of intellectual capital in their growth.

Originality/value

This is the first paper that examines the relationship of intellectual capital performance with financial performance of financial sector companies in Australia.

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Article
Publication date: 1 February 2000

Yaw A. Debrah and Ian G. Smith

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on…

11599

Abstract

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

Details

Management Research News, vol. 23 no. 2/3/4
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 4 July 2023

Ting Tang, Haiyan Xu, Kebing Chen and Zhichao Zhang

The purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract…

170

Abstract

Purpose

The purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract design of the retailer.

Design/methodology/approach

This paper develops a low-carbon supply chain composed of one retailer and one manufacturer, in which the retailer provides trade credit to the manufacturer. Considering the cap-and-trade regulation, the manufacturer with uncertain yield makes decision on whether to invest in emission abatement. There are bank loan and trade credit to finance production for the manufacturer and green credit to finance emission abatement investment. Meanwhile, the retailer may provide the manufacturer with three kinds of contracts to improve emission abatement efficiency, namely, revenue sharing, cost sharing or both sharing.

Findings

The results show that the retailer prefers to offer financing service at lower interest rate, but trade (and green) credit financing is always optimal for manufacturer and supply chain. The investment in emission abatement is value-added to all players. The sharing contracts offered by the retailer at lower sharing ratios can realize Pareto improvement of the system regardless of the financing scheme. However, comparing with the revenue or cost sharing contract, the existence of optimal sharing ratios makes the both sharing contract more favorable to the retailer.

Practical implications

The findings provide guidance for the emission-dependent manufacturer in financing and emission abatement decisions, as well as recommendations for the retailer to offer loan service and sharing contract.

Originality/value

This paper integrates green credit into bank loan or trade credit to analyze the financing decision of the manufacturer with uncertain yield and further considers the influence of three kinds of sharing contracts introduced by the retailer on improving operational performance.

Details

Kybernetes, vol. 53 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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Book part
Publication date: 7 December 2023

Zen Tong Chunhua Zheng and Yali Zou

Abstract

Details

The Significance of Chinatown Development to a Multicultural America: An Exploration of the Houston Chinatowns
Type: Book
ISBN: 978-1-80455-377-0

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Article
Publication date: 5 August 2020

Shuangliang Tai, Yao Zhang and Ting Li

The purpose of this paper is to promote the application of building information modeling (BIM) in China’s construction industry, key factors and their relationships are explored.

531

Abstract

Purpose

The purpose of this paper is to promote the application of building information modeling (BIM) in China’s construction industry, key factors and their relationships are explored.

Design/methodology/approach

Based on a literature review, 28 factors were extracted and their relationships (239 in total) obtained using the Delphi method. A social network model of the factors was constructed and factors were analyzed using social network analysis (SNA).

Findings

The top 10 key factors and their relationships were obtained using SNA. Among the top 10 critical factors, six were source factors. They were: training for the application of BIM, guidance from experts, proper management modes, efficient BIM teams, specifications and demonstrations and standards for building information communication. The other four factors included as follows: a willingness to accept BIM, knowledge of its value and benefits, the definition of its benefits and the availability of IT software and hardware. These were mediating factors that could further the influence of the source factors.

Originality/value

The results provide useful information for public agencies and professionals to understand the immediate and mediating influences of the factors on the application of BIM. Solutions and future efforts for different participants are presented to promote the application of BIM-based on the key factors and their relationships.

Details

Journal of Engineering, Design and Technology , vol. 19 no. 2
Type: Research Article
ISSN: 1726-0531

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 August 2021

Weiwei Zhu, Jinglin Wu, Ting Fu, Junhua Wang, Jie Zhang and Qiangqiang Shangguan

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great…

1747

Abstract

Purpose

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

Design/methodology/approach

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Findings

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

Research limitations/implications

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

Practical implications

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

Originality/value

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

Details

Journal of Intelligent and Connected Vehicles, vol. 4 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

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Book part
Publication date: 2 September 2019

Bruno S. Sergi, Elena G. Popkova, Aleksei V. Bogoviz and Tatiana N. Litvinova

Abstract

Details

Understanding Industry 4.0: AI, the Internet of Things, and the Future of Work
Type: Book
ISBN: 978-1-78973-312-9

Available. Content available
Book part
Publication date: 6 December 2023

Abstract

Details

Financial Inclusion Across Asia: Bringing Opportunities for Businesses
Type: Book
ISBN: 978-1-83753-305-3

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