Search results

1 – 10 of 16
To view the access options for this content please click here
Article
Publication date: 26 April 2013

Xiaojun Du, He Liu, Lingjing Bao and Peng Huang

This paper aims to investigate the relationships between the strategic type of cross‐border mergers and acquisitions (M&As) and enterprise growth, and the moderating role…

Abstract

Purpose

This paper aims to investigate the relationships between the strategic type of cross‐border mergers and acquisitions (M&As) and enterprise growth, and the moderating role of Chinese companies' organizational factors, including organizational structure, organizational experience, cultural distance and relative size.

Design/methodology/approach

The authors, as researchers, have mixed the strategic choice and post‐M&As integration into a comprehensive framework while building the theoretical model of “Strategic Type of Cross‐border M&As‐Organizational Factors‐Enterprise Growth” (ST‐OF‐EG). In this paper, they have empirically examined the model using hierarchical regression by analyzing 76 cross‐borders M&A events of overseas‐listed Chinese companies over the 2000‐2007 period.

Findings

The analysis shows that: related cross‐border M&As are better for enterprise growth than unrelated diversification cross‐border M&As; and among the organizational factors, studied organizational structure and organizational experience show a positive significance in terms of the relationship between the strategic type of cross‐border M&As and enterprise growth. The moderating role of cultural distance and relative size is non‐significant.

Research limitations/implications

In this paper, the moderating effect of cultural distance was found to be insignificant. However, further research is encouraged.

Practical implications

Chinese companies should pay attention to strategic choices before cross‐border M&As. They should expand abroad to markets step by step. They should merge the companies that have the higher relevance on a product, industry or market first. On the basis of specialization, Chinese companies should make themselves stronger and then develop from specialization to proper diversification, which is a robust path to achieve enterprise growth. Besides, Chinese companies should accumulate international experience as soon as possible and organizational structure should match the strategic choice.

Originality/value

This paper would be immensely helpful to Chinese companies to plan their cross‐border M&As strategy in a way that would enhance growth and core‐competence.

To view the access options for this content please click here
Article
Publication date: 4 December 2017

Xu Chen and Xiaojun Wang

In the era of climate change, industrial organizations are under increasing pressure from consumers and regulators to reduce greenhouse gas emissions. The purpose of this…

Abstract

Purpose

In the era of climate change, industrial organizations are under increasing pressure from consumers and regulators to reduce greenhouse gas emissions. The purpose of this paper is to examine the effectiveness of product mix as a strategy to deliver the low carbon supply chain under the cap-and-trade policy.

Design/methodology/approach

The authors incorporate the cap-and-trade policy into the green product mix decision models by using game-theoretic approach and compare these decisions in a decentralized model and a centralized model, respectively. The research explores potential behavioral changes under the cap-and-trade in the context of a two-echelon supply chain.

Findings

The analysis results show that the channel structure has significant impact on both economic and environmental performances. An integrated supply chain generates more profits. In contrast, a decentralized supply chain has lower carbon emissions. The cap-and-trade policy makes a different impact on the economic and environmental performances of the supply chain. Balancing the trade-offs is critical to ensure the long-term sustainability.

Originality/value

The research offers many interesting observations with respect to the effect of product mix strategy on operational decisions and the trade-offs between costs and carbon emissions under the cap-and-trade policy. The insights derived from the analysis not only help firms to make important operational and strategic decisions to reduce carbon emissions while maintaining their economic competitiveness, but also make meaningful contribution to governments’ policy making for carbon emissions control.

Details

Industrial Management & Data Systems, vol. 117 no. 10
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article
Publication date: 29 April 2020

Xiaojun Yuan, Yinjie Shen and Haigang Zhou

This paper aims to identify how house price affects household consumption.

Abstract

Purpose

This paper aims to identify how house price affects household consumption.

Design/methodology/approach

The authors use a micro-level data set that tracks the house price and consumption of a vast number of households over a period of four years. OLS regression is the main econometric method.

Findings

The authors document robust evidence that an increase in house prices stimulates household consumption, regardless of whether a household owns or rents. Moreover, the authors find that both acquiring and losing homeownership negatively affects household consumption. Further investigation suggests significant regional heterogeneity in the relationship between house prices and household consumption.

Originality/value

This is one of the first studies examining the relationship between house price and household consumption in China using micro-level data. Given the uniqueness of the Chinese housing market and China’s fast-growing consumption rate, the study contributes new evidence to the long-lasting debate.

Details

International Journal of Housing Markets and Analysis, vol. 13 no. 3
Type: Research Article
ISSN: 1753-8270

Keywords

To view the access options for this content please click here
Article
Publication date: 3 January 2020

Caiming Zhang, Xiaojun Xu and Hong Chen

The purpose of this paper is to review the current research on theoretical foundations and applications for CPS from 2017 to 2019 including the applications in library.

Abstract

Purpose

The purpose of this paper is to review the current research on theoretical foundations and applications for CPS from 2017 to 2019 including the applications in library.

Design/methodology/approach

This paper is designed in six parts as Introduction, Literature review, Theoretical foundations of CPS, Applications of CPS, CPS’s application in library and Conclusion. The authors review 70 papers and classify them as the above six parts. The authors collected 70 papers from 2017 to 2019 in the academic databases.

Findings

This paper reviews 70 papers regarding theoretical foundations and applications for CPS from 2017 to 2019 in the academic databases aiming to provide scholars and practitioners with a comprehensive overview. The contents of the papers in each research category are summarized from theoretical foundations and applications including the CPS applications in library.

Originality/value

A main contribution of this review paper is that it summarizes the current state-of-the-art theoretical foundations and applications for CPS and in libraries systematically.

To view the access options for this content please click here
Article
Publication date: 18 October 2018

Miguel Sangregorio, Ningfei Wang, Kan Xie, Zun Zhang and Xiaojun Wang

Traditional ion optics manufacturing processes are complex and costly. The purpose of this paper is to study the feasibility of using selective laser melting (SLM) to…

Abstract

Purpose

Traditional ion optics manufacturing processes are complex and costly. The purpose of this paper is to study the feasibility of using selective laser melting (SLM) to produce additively manufactured ion optics.

Design/methodology/approach

An SLM machine was used to generate Ti6Al4V screen grids. The output was separated through wire cutting from the build platform and studied through a scanning electron microscope. To increase the geometrical accuracy of the original grid, samples consisting of nine-aperture arrays were fabricated with different parameter combinations, increasing the energy density. An empirical method to correlate the energy density applied in the fabrication process with the dimensional accuracy of the hole array positioning was developed through the analysis of multiple samples.

Findings

The SLM machine generated grids with optimal microstructure, the apertures fell within the specified tolerances and tolerances of slightly less than 10 µm can be guaranteed for the hole array positioning. The grids’ upper surfaces presented good-quality surface finish, and the lower surface quality was acceptable when the wire cutting process that separated the grid from the build platform performed slowly. Regardless of the build strategy, the stresses generated in the separation process caused the warping of the ion optic, so a flattening operation was necessary in all cases.

Originality/value

This research proved that SLM is a viable solution for ion optics fabrication, faster (less than 24 h) and less expensive (order of US$300) than traditional fabrication methods (with fabrication times from 24 to more than 400 h and costs from US$500 to US$5,000, depending on the material, size and shape).

Details

Rapid Prototyping Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1355-2546

Keywords

To view the access options for this content please click here
Article
Publication date: 6 November 2017

Xiaojun Zhao, Fanhui Meng, Zhiguang Cheng, Lanrong Liu, Junjie Zhang and Chao Fan

This paper aims to investigate an efficient approach to model the electromagnetic behaviors and predict stray-field loss inside the magnetic steel plate under 3D harmonic…

Abstract

Purpose

This paper aims to investigate an efficient approach to model the electromagnetic behaviors and predict stray-field loss inside the magnetic steel plate under 3D harmonic magnetization conditions so as to effectively prevent the structural components from local overheating and insulation damage in electromagnetic devices.

Design/methodology/approach

An experimental setup is applied to measure all the magnetic properties of magnetic steel plate under harmonic excitations with different frequencies and phase angles. The measurement and numerical simulation are carried out based on the updated TEAM Problem 21 Model B+ (P210-B+), under the 3D harmonic magnetization conditions. An improved method to evaluate the stray-field loss is proposed, and harmonic flux distribution in the structural components is analyzed.

Findings

The influence of the harmonic order and phase angle on the stray-field loss in magnetic steel components are noteworthy. Based on the engineering-oriented benchmark models, the variations of stray-field losses and magnetic field distribution inside the magnetic components under harmonic magnetization conditions are presented and analyzed in detail.

Research limitations/implications

The capacity of the multi-function harmonic source, used in this work, was not large enough, which limits the magnetization level. Up to now, further improvements to increase the harmonic source capacity and investigations of the electromagnetic behaviors of magnetic steel components under multi-harmonic and DC-AC hybrid excitations are in progress.

Originality/value

To accurately predict the stray-field loss in magnetic steel plate, the improved method based on the combination of magnetic measurement and numerical simulation is proposed. The effects of the frequency and phase angle on the stray-field loss are analyzed.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36 no. 6
Type: Research Article
ISSN: 0332-1649

Keywords

To view the access options for this content please click here
Article
Publication date: 24 August 2012

Youmin Xi, Xiaojun Zhang and Jing Ge

The purpose of this paper is to address several challenges faced by organizational management in the contemporary context, and how managers can better reply to management…

Abstract

Purpose

The purpose of this paper is to address several challenges faced by organizational management in the contemporary context, and how managers can better reply to management challenges by integrating oriental and occidental philosophy and wisdom.

Design/methodology/approach

The paper first describes the characteristics of the contemporary management context and identifies challenges that managers are likely to encounter. The paper then investigates how oriental and occidental philosophy and wisdom reply to these management challenges, whilst also considering the relative advantages and disadvantages of both traditions. Based on the complementarity of these two traditions, the paper finally proposes a framework that integrates both oriental and occidental wisdom by HeXie Management Theory to better respond to management challenges.

Findings

The contemporary organizational environment is characterized by four key salient components: complexity, change, ambiguity, and uncertainty (CCAU). Managers are challenged by problems of determining causality, managing holistically, and adaptation to rapid change. Western philosophical approaches to confronting management challenges arising from CCAU, inherent in the wider economic environment, emphasize standardization and rational design on the basis of science, law, and religion. Conversely, Oriental philosophical approaches to management challenges oppose such rigid systems in favour of flexibility and adaptability which emphasize harmony and morality. Essentially, whereas western thought intends to limit the occurrence of unpredicted events through the development of scientific systems, oriental thinking aims to provide a flexible and fluid system which absorbs the effects of CCAU, thus limiting and using its impact. These two perspectives both have their own advantages and disadvantages when facing management challenges in the context of CCAU. By integrating these two complementary approaches, the authors propose HeXie Management Theory (HXMT). HXMT establishes a clear vision and mission to direct the development of organizations; to organize an integrated management system through the HeXie Theme and HeXie Coupling, and to apply the component “He Principle” and “Xie Principle” as basic mechanisms to cope with management challenges.

Originality/value

This study contributes to research on relationships between organizations and environment by providing a holistic analysis, and adds knowledge about how to reply to management challenges by constructing ambidextrous organizations based on HeXie Management Theory.

Details

Chinese Management Studies, vol. 6 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

To view the access options for this content please click here
Article
Publication date: 14 July 2020

Xiaojun Wang, Zhenxian Luo and Xinyu Geng

This paper is to present an experiment to verify that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

Abstract

Purpose

This paper is to present an experiment to verify that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

Design/methodology/approach

First, the test pieces of deterministic optimization and robust optimization results are manufactured by the combination of three-dimensional (3D) printing and casting techniques. To measure the displacement of the test piece of compliant mechanism, a displacement measurement method based on the image recognition technique is proposed in this paper.

Findings

According to the experimental data analysis, the robust topology optimization results of compliant mechanisms are less sensitive to uncertainties, comparing with the deterministic optimization results.

Originality/value

An experiment is presented to verify the effectiveness of robust topology optimization for compliant mechanisms. The test pieces of deterministic optimization and robust optimization results are manufactured by the combination of 3D printing and casting techniques. By comparing the experimental data, it is found that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

Details

Rapid Prototyping Journal, vol. 26 no. 9
Type: Research Article
ISSN: 1355-2546

Keywords

To view the access options for this content please click here
Article
Publication date: 16 April 2018

Yue Wang, Di Wu, Lei Wang and Xiaojun Wang

This paper aims to propose a novel statistic energy analysis method with fuzzy parameters to study the dynamic and acoustic responses of coupled system with fuzzy…

Abstract

Purpose

This paper aims to propose a novel statistic energy analysis method with fuzzy parameters to study the dynamic and acoustic responses of coupled system with fuzzy parameters, which can expand the applied range of statistic energy analysis method in engineering to some extent.

Design/methodology/approach

On the basis of the property of membership level, the uncertain fuzzy parameters are expressed as the interval forms. Interval mathematics and interval expansion principle are adopted to solve the problem with interval parameters. At last, two numerical examples, which include a two-plate coupled system and a single-partition sound-insulation system, are carried out to demonstrate the feasibility and validity of the presented method.

Findings

Interval mathematics and interval expansion principle are adopted to solve the problem with interval parameters.

Originality/value

By integrating the interval analysis, optimization technique and Taylor expansion method, two non-probabilistic, set-theoretical statistical energy analyses are proposed for predicting the dynamical and acoustical response of the complex coupled system with uncertain parameters in high-frequency domain.

Details

Engineering Computations, vol. 35 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

To view the access options for this content please click here
Article
Publication date: 19 October 2015

Kun Chen, Xin Li and Huaiqing Wang

Although big data analytics has reaped great business rewards, big data system design and integration still face challenges resulting from the demanding environment…

Abstract

Purpose

Although big data analytics has reaped great business rewards, big data system design and integration still face challenges resulting from the demanding environment, including challenges involving variety, uncertainty, and complexity. These characteristics in big data systems demand flexible and agile integration architectures. Furthermore, a formal model is needed to support design and verification. The purpose of this paper is to resolve the two problems with a collective intelligence (CI) model.

Design/methodology/approach

In the conceptual CI framework as proposed by Schut (2010), a CI design should be comprised of a general model, which has formal form for verification and validation, and also a specific model, which is an implementable system architecture. After analyzing the requirements of system integration in big data environments, the authors apply the CI framework to resolve the integration problem. In the model instantiation, the authors use multi-agent paradigm as the specific model, and the hierarchical colored Petri Net (PN) as the general model.

Findings

First, multi-agent paradigm is a good implementation for reuse and integration of big data analytics modules in an agile and loosely coupled method. Second, the PN models provide effective simulation results in the system design period. It gives advice on business process design and workload balance control. Third, the CI framework provides an incrementally build and deployed method for system integration. It is especially suitable to the dynamic data analytics environment. These findings have both theoretical and managerial implications.

Originality/value

In this paper, the authors propose a CI framework, which includes both practical architectures and theoretical foundations, to solve the system integration problem in big data environment. It provides a new point of view to dynamically integrate large-scale modules in an organization. This paper also has practical suggestions for Chief Technical Officers, who want to employ big data technologies in their companies.

Details

Industrial Management & Data Systems, vol. 115 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

1 – 10 of 16