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Article
Publication date: 20 June 2008

Yi Niu

The paper's aim is to estimate the benefits and costs of China's affordable housing program, as well as to provide recommendations to this housing policy.

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Abstract

Purpose

The paper's aim is to estimate the benefits and costs of China's affordable housing program, as well as to provide recommendations to this housing policy.

Design/methodology/approach

The Cobb‐Douglas utility function is employed to estimate the net benefits of the affordable housing policy. Both of the sunk costs and current costs are computed, and an improved housing affordability index is used to measure the levels of housing affordability in cities in China.

Findings

The total net benefits of this policy are estimated to range from $234,176.7 million to ¥271,020.4 million. The costs are divided into sunk costs and current costs, computed to be ¥447,598.63 million and ¥328,685.21 million, respectively. The supply size of affordable dwellings is far from adequate due to the low level of housing affordability in China.

Research limitations/implications

The data in this study is insufficient and some information such as the income of occupiers has yet to be estimated. However, if more individual data was available, the conclusion would be confidential.

Practical implications

From this paper the policymakers may understand how to estimate the welfare efficiency of affordable housing policy, adjust the participant regulations and determine the supply of affordable houses.

Originality/value

This paper estimates the benefits and costs of China's affordable housing program as the first study in this area. The Cobb‐Douglas utility function was used in the analysis of China's housing policy.

Details

International Journal of Housing Markets and Analysis, vol. 1 no. 2
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 16 August 2022

Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, Weng Marc Lim and Suresh Kumar Jakhar

Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways…

Abstract

Purpose

Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways forward for DL applications in manufacturing operations.

Design/methodology/approach

Using bibliometric analysis and the SPAR-4-SLR protocol, this research conducts a systematic literature review to present a scientific mapping of top-tier research on DL applications in manufacturing operations.

Findings

This research discovers and delivers key insights on six knowledge clusters pertaining to DL applications in manufacturing operations: automated system modelling, intelligent fault diagnosis, forecasting, sustainable manufacturing, environmental management, and intelligent scheduling.

Research limitations/implications

This research establishes the important roles of DL in manufacturing operations. However, these insights were derived from top-tier journals only. Therefore, this research does not discount the possibility of the availability of additional insights in alternative outlets, such as conference proceedings, where teasers into emerging and developing concepts may be published.

Originality/value

This research contributes seminal insights into DL applications in manufacturing operations. In this regard, this research is valuable to readers (academic scholars and industry practitioners) interested to gain an understanding of the important roles of DL in manufacturing operations as well as the future of its applications for Industry 4.0, such as Maintenance 4.0, Quality 4.0, Logistics 4.0, Manufacturing 4.0, Sustainability 4.0, and Supply Chain 4.0.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 21 August 2004

Yung‐Ching Ho, Hsin‐Pin Fu, Chun‐Fa Niu and Pei‐Hsiang Chien

This paper investigates customer knowledge management activities of Taiwan’s plastic industries. The results demonstrate that the bulk of customer knowledge comes from…

Abstract

This paper investigates customer knowledge management activities of Taiwan’s plastic industries. The results demonstrate that the bulk of customer knowledge comes from data related to customer purchase orders and complaints. Furthermore, marketing, production, and research and development are the main departments that developed and reuse customer knowledge. The benefits derived from knowledge management for enterprises do not vary with the position of the vendor on the business scope. In addition, the benefits derived by customers from knowledge management are directly related to the benefits gained by the five major business functions, while the benefits derived from the customer knowledge management are also directly related to customer satisfaction. Summarizing the above results, an Acquisition‐Development‐Reuse (ADR) model is proposed and can provide the enterprises with a systematic reference model when the business attempts to construct a customer knowledge management system.

Details

Asian Journal on Quality, vol. 5 no. 2
Type: Research Article
ISSN: 1598-2688

Keywords

Open Access
Article
Publication date: 7 August 2018

Qiang Yi, Stanley Chien, Lingxi Li, Wensen Niu, Yaobin Chen, David Good, Chi-Chih Chen and Rini Sherony

To support the standardized evaluation of bicyclist automatic emergency braking (AEB) systems, test scenarios, test procedures and test system hardware and software tools…

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Abstract

Purpose

To support the standardized evaluation of bicyclist automatic emergency braking (AEB) systems, test scenarios, test procedures and test system hardware and software tools have been investigated and developed by the Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis. This paper aims to focus on the development of test scenarios and bicyclist surrogate for evaluating vehicle–bicyclist AEB systems.

Design/methodology/approach

The harmonized general estimates system (GES)/FARS 2010-2011 crash data and TASI 110-car naturalistic driving data (NDD) are used to determine the crash geometries and environmental factors of crash scenarios including lighting conditions, vehicle speeds, bicyclist speeds, etc. A surrogate bicyclist including a bicycle rider and a bicycle surrogate is designed to match the visual and radar characteristics of bicyclists in the USA. A bicycle target is designed with both leg pedaling and wheel rotation to produce proper micro-Doppler features and generate realistic motion for camera-based AEB systems.

Findings

Based on the analysis of the harmonized GES/FARS crash data, five crash scenarios are recommended for performance testing of bicyclist AEB systems. Combined with TASI 110-car naturalistic driving data, the crash environmental factors including lighting conditions, obscuring objects, vehicle speed and bicyclist speed are determined. The surrogate bicyclist was designed to represent the visual and radar characteristics of the real bicyclists in the USA. The height of the bicycle rider mannequin is 173 cm, representing the weighted height of 50th percentile US male and female adults. The size and shape of the surrogate bicycle were determined as 26-inch wheel and mountain/road bicycle frame, respectively. Both leg pedaling motion and wheel rotation are suggested to produce proper micro-Doppler features and support the camera-based AEB systems.

Originality/value

The results have demonstrated that the developed scenarios, test procedures and bicyclist surrogate will provide effective objective methods and necessary hardware and software tools for the evaluation and validation of bicyclist AEB systems. This is crucial for the development of advanced driver assistance systems.

Details

Journal of Intelligent and Connected Vehicles, vol. 1 no. 1
Type: Research Article
ISSN: 2399-9802

Keywords

Article
Publication date: 4 September 2017

Dawei Yi, Zhiyun Zhang, Jin Chen, Libin Niu and Jianhong Peng

The directional solidification Fe-B alloy was prepared. The microstructures and three-body abrasive wear behaviors of directional solidification alloy were investigated.

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Abstract

Purpose

The directional solidification Fe-B alloy was prepared. The microstructures and three-body abrasive wear behaviors of directional solidification alloy were investigated.

Design/methodology/approach

Fe-B alloy was melted in medium frequency induction furnace. The hardness was measured on HRS-150 Rockwell-hardness tester and HXD-1000TMC tester. The wear characteristic of the alloy was examined with a block-on-ring geometry. The worn surface of the alloy was investigated by scanning electron microscopy and laser scanning microscopy.

Findings

The wear weight loss and worn surface roughness increase with the increasing contact load in wear tests. When the worn surface is perpendicular to the boride growth direction, the highest hardness plane of the boride can resist abrasive effectively under the surrounding and supporting of the martensite matrix.

Originality/value

The relation between boride growth direction and wear direction will cause different boride breaking tendency and wear weight loss.

Details

Industrial Lubrication and Tribology, vol. 69 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 25 November 2020

Yi Liu, Fanhua Wu, Xinwei Tian, Xiaoyang Hu, Yongfeng Liu, Xiandong Zhao, Rongjun Qu, Chunnuan Ji and Yuzhong Niu

This paper aims to focus on the preparation of Kevlar fiber (KF) and alkaline hydrolyzed KF (KF-H) to improve the dispersed condition of polyaniline (PAn), as the…

Abstract

Purpose

This paper aims to focus on the preparation of Kevlar fiber (KF) and alkaline hydrolyzed KF (KF-H) to improve the dispersed condition of polyaniline (PAn), as the aggregation of PAn would lead to some adsorption sites buried. And then the materials were used to enrich anionic dye Congo red (CR) from aqueous solution.

Design/methodology/approach

The materials (KF@PAn and KF-H@PAn) were designed by means of “diffusion-interfacial-polymerization” under mild condition as high affinity due to the structural properties of PAn, KF and KF-H. The dispersed degree of PAn on the surface of KF and KF-H was validated according to adsorption efficiency for CR.

Findings

The content of PAn introduced was not beyond 20 wt.%, while adsorption capacity for CR was significantly enhanced by 4–8 times (on the basis of kinetic data) according to the calculation only by the content of PAn due to KF and alkaline hydrolyzed KF exhibited almost no adsorption for CR, indicating dispersed situation of PAn coating was greatly enhanced and more active sites exposed, which was favorable for the adsorption process. Presence of NaCl would exhibit a more or less positive effect on CR uptake, suggesting the materials could be used for high salt environment.

Research limitations/implications

The investigated means of dispersed degree of PAn on the surface of KF and KF-H are the further and future investigation.

Practical implications

This study will provide a method to improve the dispersed situation of PAn and a theoretical support to treat anionic dyes from aqueous solution especially for salt environment.

Originality/value

The results showed that the dispersed condition of PAn on the surface of KF and KF-H was greatly improved. According to the adsorption capacities for CR, it can be concluded that part of adsorption sites were buried due to the aggregation of PAn, and introduction of KF and KF-H, buried adsorption sites decreased greatly. This study will provide a method to decrease buried adsorption sites of PAn and a contribution for their convenient application in wastewater treatment especially for high salt environment.

Details

Pigment & Resin Technology, vol. 50 no. 4
Type: Research Article
ISSN: 0369-9420

Keywords

Book part
Publication date: 17 June 2016

Changsong Niu and Jing Liu

This chapter aims to investigate and interpret China’s educational aid by analyzing its history, philosophies, and practices in Africa. The study is based on review and…

Abstract

This chapter aims to investigate and interpret China’s educational aid by analyzing its history, philosophies, and practices in Africa. The study is based on review and analysis of governmental documents, reports, academic papers, and news by Chinese and foreign scholars on China’s aid, particularly educational aid to Africa. The analysis unveils three transformations of China’s aid “from pro-ideology to de-ideology,” “from single area to multiple areas,” and “from pragmatic economy driven to sustainable and humane economy focused” in Africa. Meanwhile, it indicates a continuity of the philosophy of solidarity, morality, and reciprocity in China’s South-South cooperation with African educational development.

The analysis also shows China’s educational aid does not match well with the framework of the Western donors. China, under the FOCAC framework, is devoted to higher education cooperation, human resources training program, scholarship, and Chinese language education with African partners. With the growth of its economic and political influence, China will play multiple roles as the biggest developing country and as an active promoter and provider for South-South cooperation in the negotiation and construction of the post-2015 agenda. Nevertheless, we assume China will keep a pragmatic higher education cooperation with its developing country partners to inclusively link it with business, technology transfer, and people-to-people exchange.

This study delivers a comprehensive review and analysis of paradigm shift, philosophy, mechanism, and practice of China’s educational aid to Africa to fill up the literature gap in this field. It also timely presents China’s stance toward discussion on the post-2015 agenda.

Details

Post-Education-Forall and Sustainable Development Paradigm: Structural Changes with Diversifying Actors and Norms
Type: Book
ISBN: 978-1-78441-271-5

Keywords

Article
Publication date: 2 November 2021

Yuan-Ling Chen and Ting Yi Chu

Drawing on the perspectives of emotional labor, self-concept and impression management, this study presents two major findings: (1) employees' excessive reliance on…

Abstract

Purpose

Drawing on the perspectives of emotional labor, self-concept and impression management, this study presents two major findings: (1) employees' excessive reliance on impression management can bother supervisors, and (2) the effectiveness of impression management depends on how the management affects targets' attribution of characteristics to actors.

Design/methodology/approach

The study uses a cross-sectional design and a sample of 259 employees to investigate the antecedents of abusive supervision and, in this regard, the potential mediating effects of impression management. Through Mplus analysis, the authors specifically show that deep acting and surface acting affect impression management and that impression management activates abusive supervision.

Findings

Emotional labor is critical in triggering abusive supervision through impression management. The study specifically shows that impression management mediates two types of relationships: (1) the relationship between deep acting and abusive supervision, and (2) the relationship between surface acting and abusive supervision. The findings contribute to the abusive supervision literature by clarifying how impression management functions.

Originality/value

This study, by addressing how emotional labor is a potential antecedent of abusive supervision, reveals that impression management can be a mixed blessing, insofar as emotional labor can contribute to abusive supervision.

Details

Evidence-based HRM: a Global Forum for Empirical Scholarship, vol. 10 no. 2
Type: Research Article
ISSN: 2049-3983

Keywords

Article
Publication date: 26 August 2020

Yi Yang and Wei Pan

This paper aims to examine the potentials of using automated guided vehicle (AGV) technology in modular integrated construction (MiC) to realise logistics automation in…

Abstract

Purpose

This paper aims to examine the potentials of using automated guided vehicle (AGV) technology in modular integrated construction (MiC) to realise logistics automation in module manufacturing and transport.

Design/methodology/approach

This paper adopts a scenario approach through three phases (i.e. scenario preparation, development and transfer), with six steps performed iteratively. The scenarios were systematically developed using a six-aspect socio-technical framework. Data were collected through a comprehensive literature review, site visits and interviews with relevant stakeholders and professionals. Implications regarding strength, weakness, opportunities and challenges and future research directions are provided.

Findings

The developed scenarios of “smart manufacturing” and “last-mile delivery” demonstrated how AGVs could be used to enhance efficiency and productivity in module manufacturing and transport. The synergies between AGVs and emerging information technologies should pave a good foundation for realising logistics automation in MiC. Future research should address: how to define the tasks of AGVs, how will the use of AGVs impact MiC practices, how to design AGV-integrated module manufacturing/transport systems and how to integrate people factors into the use of AGVs in MiC.

Practical implications

This paper reveals the socio-technical benefits and challenges of using AGVs in MiC.

Originality/value

This study extends the understanding of using logistics automation in MiC as emerging research directions, with the intention of directing scholars’ and practitioners’ interest into future exploration. It is the first attempt in its kind. Its findings could be extended to constitute a comprehensive development roadmap and prospects of automation in modular construction.

Details

Construction Innovation , vol. 21 no. 1
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 10 April 2009

Liu Da, Niu Dongxiao, Li Yuanyuan and Chen Guanjuan

To combine the forecasting by single method using influence information fully, other than regular combined methods only focusing on historical forecasting errors.

Abstract

Purpose

To combine the forecasting by single method using influence information fully, other than regular combined methods only focusing on historical forecasting errors.

Design/methodology/approach

To combine the single methods based on the analysis of improved gray correlation, with more related information being considered to enhance the price forecasting precision, such as the trend of the prices, the historical forecasting errors, and the temporal influence factors on prices.

Findings

A case of PJM market of USA shows that the proposed method has better performance than any other combined methods, and all single models as well.

Research limitations/implications

The combined performance depends on the forecasting precision of single methods, and the correlation between the single methods, as well as the number of single method that to be combined.

Practical implications

It is a novel idea for combined method to forecasting the time series data, such as electricity prices, electric power loads.

Originality/value

The proposed method considers all the following factors: the similarity between the trends of the single forecasting, the errors of the single models and the temporal influence.

Details

Kybernetes, vol. 38 no. 3/4
Type: Research Article
ISSN: 0368-492X

Keywords

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