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Article
Publication date: 25 January 2011

Anthony Beresford, Stephen Pettit and Yukuan Liu

This paper aims to analyse available multimodal transport route variations for iron ore shipments from northwest Australia to northeast China, focusing on a major iron and steel…

7154

Abstract

Purpose

This paper aims to analyse available multimodal transport route variations for iron ore shipments from northwest Australia to northeast China, focusing on a major iron and steel manufacturer.

Design/methodology/approach

The research is focused on a case study and uses an established cost model as a framework, for the first time, in the context of heavy bulk cargo shipments. Field interviews and a questionnaire form the principal methods of primary data collection. The characteristics of bulk iron ore transport flow are analysed against traditional criteria and an appraisal of the transport infrastructure in north east China is made, considering both road and rail options, and various possible combinations for transport being evaluated. All factors affecting modal choice in the region are examined, including cargo volume, weight, and value, transport distance, transit time, transport costs and schedule reliability.

Findings

The volumes of iron ore moved are large, with a high weight‐to‐volume ratio, and shipments are regular. The research initially confirms that sea and rail transport combinations are the most appropriate for the movement of iron ore. However, where rail transport corridors are congested, provided that the transport distances are not too great, road haulage appears to be an effective substitute and the most competitive multimodal transport route, at least in the short to medium term, is found to be a rail‐sea‐road combination via Port Bayuquan in China.

Research limitations/implications

The research focuses on the delivery of iron ore to one major steel manufacturer in northeast China; so findings may not be transferable to other companies or circumstances.

Practical implications

The paper first demonstrates that, for heavy, high volume cargoes concentration of flows on to one corridor, perhaps under the control of one service provider, maximises scale economies, but works against competition and route/mode choice. Second, it demonstrates that, for long haul shipments of iron ore, port variations and modal differences for inland transport yield only marginal differences in overall logistics costs.

Originality/value

An assessment of high volume/heavy/low value cargoes such as iron ore has not previously been undertaken using this cost model. This paper therefore provides an original analysis of such supply chains.

Details

Supply Chain Management: An International Journal, vol. 16 no. 1
Type: Research Article
ISSN: 1359-8546

Keywords

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Article
Publication date: 14 July 2023

Xiaochen Liu, Yukuan Xu, Qiang Ye and Yu Jin

Fierce competition in the crowdfunding market has resulted in high failure rates. Owing to their dedication and efforts, many founders have relaunched failed campaigns as a…

383

Abstract

Purpose

Fierce competition in the crowdfunding market has resulted in high failure rates. Owing to their dedication and efforts, many founders have relaunched failed campaigns as a second attempt. Despite the need for a better understanding, the success of campaign relaunches has not been well-researched. To fill this research gap, this study first theorizes how founders’ learning may enhance their competencies and influence investors’ attribution of entrepreneurial failure. The study then empirically documents the extent and conditions under which such learning efforts impact campaign relaunch performance.

Design/methodology/approach

This study examines 5,798 Kickstarter-relaunched campaigns. The founders’ learning efforts are empirically captured by key changes in campaign design that deviate from past business practices. Word movers’ distances and perceptual hashing algorithms (pHash) are used separately to measure differences in campaign textual descriptions and pictorial designs.

Findings

Differences in textual descriptions and pictorial designs during campaign failure–relaunch are positively associated with campaign relaunch success. The impacts are further amplified when the previous failures are more severe.

Originality/value

This study is one of the first to examine the success of a campaign relaunch after an initial failure. This study contributes to a better understanding of founders’ learning in crowdfunding contexts and provides insights into the strategies founders can adopt to reap performance benefits.

Details

Internet Research, vol. 35 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 19 June 2017

Qi Wang, Pengcheng Zhang, Jianming Wang, Qingliang Chen, Zhijie Lian, Xiuyan Li, Yukuan Sun, Xiaojie Duan, Ziqiang Cui, Benyuan Sun and Huaxiang Wang

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the…

238

Abstract

Purpose

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise.

Design/methodology/approach

This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary optimization and image reconstruction are performed alternately. Two patch-based sparsity, namely, square-patch sparsity and column-patch sparsity, are discussed and compared with the global sparsity.

Findings

Both simulation and experimental results indicate that the patch based sparsity method can improve the quality of image reconstruction and tolerate a relatively high level of noise in the measured voltages.

Originality/value

EIT image is reconstructed based on patch-based sparse representation. Square-patch sparsity and column-patch sparsity are proposed and compared. Sparse dictionary optimization and image reconstruction are performed alternately. The new method tolerates a relatively high level of noise in measured voltages.

Details

Sensor Review, vol. 37 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

Available. Open Access. Open Access
Article
Publication date: 3 September 2019

Shunsuke Managi, Jingyu Wang and Lulu Zhang

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

2169

Abstract

Purpose

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

Design/methodology/approach

Countermeasure and suggestions were proposed for three aspects including the establishment of data sets with unified standards, top-level design of monitoring and assessment and analysis models, and establishment of the decision support platform with multiple scenario simulation.

Findings

Finally, the authors proposed key research area in this field, i.e., improving the systematic and optimal forest management through integrating and improving the data, models and simulation platforms and coupling the data integration system, assessment system and decision support system.

Originality/value

The authors explored the limitation of dynamic monitoring and state of the art research on data accumulation, professional model development and the analytical platform.

Details

Forestry Economics Review, vol. 1 no. 1
Type: Research Article
ISSN: 2631-3030

Keywords

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