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Article
Publication date: 16 May 2008

Gengui Zhou, Hokey Min, Chao Xu and Zhenyu Cao

The purpose of this paper is to develop a benchmark of performance standards for Chinese third‐party logistics providers (3PLs) in the emerging market. It also intends to…

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Abstract

Purpose

The purpose of this paper is to develop a benchmark of performance standards for Chinese third‐party logistics providers (3PLs) in the emerging market. It also intends to identify various factors that significantly affect the operational efficiency of the Chinese 3PLs and propose ways to improve the competitiveness of 3PLs.

Design/methodology/approach

This paper proposes data envelopment analysis (DEA) to measure the operational efficiency of ten leading 3PLs in China, relative to prior periods and their key competitors. In particular, this paper develops both the Charnes, Cooper and Rhodes model and the Banker, Charnes and Cooper model that are designed to derive weights without being fixed in advance. It also uses step‐wise regression analysis to identify factors influencing the performances of Chinese 3PLs.

Findings

First, the declining efficiency within some Chinese 3PLs coincides with a steep decline in domestic transportation activities due to the SARS outbreak and the slow adaptation of state‐owned enterprise into a more market‐based economy. Second, the sales opportunity and the level of technical expertise are directly correlated with the operational efficiency of 3PLs, whereas the size of 3PLs has no direct bearing on the 3PL's performance. Third, in contrast with the 3PL industry in the USA, the Chinese 3PLs tend to focus on traditional service offerings such as port management, transportation, and warehousing rather than playing the role as the integrator or the lead service provider.

Originality/value

This paper is the first attempt to utilize DEA to develop performance benchmarks for 3PLs in the emerging foreign market. The proposed DEA can be easily modified or extended to similar settings in other Asian countries such as India and East European countries.

Details

International Journal of Physical Distribution & Logistics Management, vol. 38 no. 4
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 30 July 2019

Zongjun Wang and Zhenyu Jiang

The purpose of this paper is to investigate how R&D originality functions in an open innovation process after the introduction of knowledge spillovers (KSs).

Abstract

Purpose

The purpose of this paper is to investigate how R&D originality functions in an open innovation process after the introduction of knowledge spillovers (KSs).

Design/methodology/approach

To examine the research framework, the authors use hierarchical regression based on questionnaire data from 211 emerging enterprises in China.

Findings

Consistent with the proposed framework, the authors find that the KS effect mediates the positive relationship between openness and innovation performance. In addition, R&D originality weakens the impact of the KS effect on innovation performance.

Research limitations/implications

One limitation is that the questionnaire survey the authors choose for data collection has some natural defects; furthermore, the testing method and research framework need to be improved.

Practical implications

Several implications of the findings for managerial practices are discussed.

Originality/value

First, the research expands the existing theoretical construct by introducing the KS effect into the open innovation process; second, the authors reveal the negative impact of R&D originality on the open innovation process.

Details

European Journal of Innovation Management, vol. 23 no. 4
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 24 June 2021

Chuanyuan Zhou, Zhenyu Liu, Chan Qiu and Jianrong Tan

The purpose of this paper is to propose a novel mathematical model to present the three-dimensional tolerance of a discrete surface and to carry out an approach to analyze…

Abstract

Purpose

The purpose of this paper is to propose a novel mathematical model to present the three-dimensional tolerance of a discrete surface and to carry out an approach to analyze the tolerance of an assembly with a discrete surface structure. A discrete surface is a special structure of a large surface base with several discrete elements mounted on it, one, which is widely used in complex electromechanical products.

Design/methodology/approach

The geometric features of discrete surfaces are separated and characterized by small displacement torsors according to the spatial relationship of discrete elements. The torsor cluster model is established to characterize the integral feature variation of a discrete surface by integrating the torsor model. The influence and accumulation of the assembly tolerance of a discrete surface are determined by statistical tolerance analysis based on the unified Jacobian-Torsor method.

Findings

The effectiveness and superiority of the proposed model in comprehensive tolerance characterization of discrete surfaces are successfully demonstrated by a case study of a phased array antenna. The tolerance is evidently and intuitively computed and expressed based on the torsor cluster model.

Research limitations/implications

The tolerance analysis method proposed requires much time and high computing performance for the calculation of the statistical simulation.

Practical implications

The torsor cluster model achieves the three-dimensional tolerance representation of the discrete surface. The tolerance analysis method based on this model predicts the accumulation of the tolerance of components before their physical assembly.

Originality/value

This paper proposes the torsor cluster as a novel mathematical model to interpret the tolerance of a discrete surface.

Details

Assembly Automation, vol. 41 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 18 June 2021

Chuanyuan Zhou, Zhenyu Liu, Chan Qiu and Jianrong Tan

The conventional statistical method of three-dimensional tolerance analysis requires numerous pseudo-random numbers and consumes enormous computations to increase the…

Abstract

Purpose

The conventional statistical method of three-dimensional tolerance analysis requires numerous pseudo-random numbers and consumes enormous computations to increase the calculation accuracy, such as the Monte Carlo simulation. The purpose of this paper is to propose a novel method to overcome the problems.

Design/methodology/approach

With the combination of the quasi-Monte Carlo method and the unified Jacobian-torsor model, this paper proposes a three-dimensional tolerance analysis method based on edge sampling. By setting reasonable evaluation criteria, the sequence numbers representing relatively smaller deviations are excluded and the remaining numbers are selected and kept which represent deviations approximate to and still comply with the tolerance requirements.

Findings

The case study illustrates the effectiveness and superiority of the proposed method in that it can reduce the sample size, diminish the computations, predict wider tolerance ranges and improve the accuracy of three-dimensional tolerance of precision assembly simultaneously.

Research limitations/implications

The proposed method may be applied only when the dimensional and geometric tolerances are interpreted in the three-dimensional tolerance representation model.

Practical implications

The proposed tolerance analysis method can evaluate the impact of manufacturing errors on the product structure quantitatively and provide a theoretical basis for structural design, process planning and manufacture inspection.

Originality/value

The paper is original in proposing edge sampling as a sampling strategy to generating deviation numbers in tolerance analysis.

Details

Assembly Automation, vol. 41 no. 4
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 23 September 2013

Lerong He and Hong Wan

The purpose of this paper is to examine the relationship between IPO lockups and founder-CEOs’ compensation and incentives in newly public firms. The paper argues that…

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1625

Abstract

Purpose

The purpose of this paper is to examine the relationship between IPO lockups and founder-CEOs’ compensation and incentives in newly public firms. The paper argues that existence and length of lockup agreements are affected by bargaining power of founders, which will consequently influence the determination of their compensation contracts.

Design/methodology/approach

Multivariate tests are constructed to examine the relationship between IPO lockups and executive compensation. OLS, fixed-effect panel data model, and the Heckman two-stage model are all utilized to conduct the tests.

Findings

The study finds that lockup existence and lockup length are negatively related to founder-CEOs’ total compensation and positively related to founder-CEOs’ equity incentives. The results hold after controlling for the endogenous decision to sign a lockup agreement at the IPO.

Research limitation/implications

The paper's results suggest that the power of founders and other insiders is a crucial factor in the lockup determination process besides economic factors identified in previous studies. The paper's results also echo the political power theory in the management literature which suggests that an organization's decision making is heavily influenced by relative power of organizational members and reflects their preference.

Originality/value

The paper raises a new explanation for the determinant of IPO lockups that supplements the extant theories. The paper argues that existence and length of lockup agreements could be affected by bargaining power of insiders.

Details

International Journal of Managerial Finance, vol. 9 no. 4
Type: Research Article
ISSN: 1743-9132

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Article
Publication date: 7 June 2011

Geng Zhang and Zhenyu Liu

This paper seeks to investigate the effects of different influential factors on consumer perceptions of uncertainty for online shopping.

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5220

Abstract

Purpose

This paper seeks to investigate the effects of different influential factors on consumer perceptions of uncertainty for online shopping.

Design/methodology/approach

In this research, consumer perceptions of uncertainty have been divided into perceived commodity uncertainty and perceived seller's behavior uncertainty, and the influential factors concerned are experienced commodity attributes, online communication, buyer's comments, and the warrants of the consumer to consumer (C2C) operator. Based on the theoretical framework, this paper takes a structural evaluation model to analyze the research hypotheses.

Findings

Taking TAOBAO.com as an example, the empirical research results indicate that perceived commodity uncertainty can be reduced by all the influential factors directly, and the perceived seller's behavior uncertainty can be reduced by online communication. In addition, the results also show that the perceived seller's behavior uncertainty can significantly affect the buyers' will, and perceived commodity uncertainty can indirectly affect the buyers will through the perceived seller's behavior uncertainty.

Practical implications

Based on the empirical results, the paper argues that in order to effectively reduce the seller's behavior uncertainty and eliminate information asymmetry, the main issues C2C are faced with currently is to establish a more comprehensive protection mechanism and to develop more equitable trade rules.

Originality/value

Compared with previous research on risk and uncertainty, this paper provides experimental analysis of the consumer perceptions of uncertainty for online buyers. It reveals the effects of different influential factors on the perceived uncertainty of consumers, which would help to explain the online consumer's behavior. Furthermore, the results from this research can enrich the understanding of the theory of risk.

Details

Nankai Business Review International, vol. 2 no. 2
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 15 September 2021

Srinivas Rao Sriram, Saidireddy Parne, Venkata Satya Chidambara Swamy Vaddadi, Damodar Edla, Nagaraju P., Raji Reddy Avala, Vijayakumar Yelsani and Uday Bhasker Sontu

This paper aims to focus on the basic principle of WO3 gas sensors to achieve high gas-sensing performance with good stability and repeatability. Metal oxide-based gas…

Abstract

Purpose

This paper aims to focus on the basic principle of WO3 gas sensors to achieve high gas-sensing performance with good stability and repeatability. Metal oxide-based gas sensors are widely used for monitoring toxic gas leakages in the environment, industries and households. For better livelihood and a healthy environment, it is extremely helpful to have sensors with higher accuracy and improved sensing features.

Design/methodology/approach

In the present review, the authors focus on recent synthesis methods of WO3-based gas sensors to enhance sensing features towards toxic gases.

Findings

This work has proved that the synthesis method led to provide different morphologies of nanostructured WO3-based material in turn to improve gas sensing performance along with its sensing mechanism.

Originality/value

In this work, the authors reviewed challenges and possibilities associated with the nanostructured WO3-based gas sensors to trace toxic gases such as ammonia, H2S and NO2 for future research.

Details

Sensor Review, vol. 41 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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