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Article
Publication date: 1 October 2024

Chuanyan Qin, Pengcheng Wang and Shanshi Liu

Outsourcing has become a crucial avenue for companies to acquire external knowledge. To better understand how dual organizational supports influence the knowledge sharing behavior…

89

Abstract

Purpose

Outsourcing has become a crucial avenue for companies to acquire external knowledge. To better understand how dual organizational supports influence the knowledge sharing behavior of outsourced employees within triangular employment relationships, grounded in social exchange theory, this study explores the effect and mechanism of differentiation in perceived organizational support (DPOS) on knowledge sharing of outsourced employees.

Design/methodology/approach

A two-wave survey was conducted to test the hypotheses, and data were collected from 271 outsourced employees and their leaders (from client organizations) in 52 interorganizational teams.

Findings

Results show that DPOS positively affect the knowledge sharing of outsourced employees and has a stronger predictive value than that of client organizational support. Outsourced employees’ psychological ownership to the interorganizational team mediates this relationship. Task interdependence plays a positive cross-hierarchy moderating role in the relationship between DPOS and psychological ownership to the interorganizational team.

Practical implications

This research provides practical advice for support strategies of client and supplier organizations.

Originality/value

Results provide further understanding for outsourced employees’ psychological and behavioral mode in triangular employment contexts.

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Article
Publication date: 19 July 2011

Zhuo‐Jia Fu, Qing‐Hua Qin and Wen Chen

The purpose of this paper is to develop a hybrid‐Trefftz (HT) finite element model (FEM) for simulating heat conduction in nonlinear functionally graded materials (FGMs) which can…

340

Abstract

Purpose

The purpose of this paper is to develop a hybrid‐Trefftz (HT) finite element model (FEM) for simulating heat conduction in nonlinear functionally graded materials (FGMs) which can effectively handle continuously varying properties within an element.

Design/methodology/approach

In the proposed model, a T‐complete set of homogeneous solutions is first derived and used to represent the intra‐element temperature fields. As a result, the graded properties of the FGMs are naturally reflected by using the newly developed Trefftz functions (T‐complete functions in some literature) to model the intra‐element fields. The derivation of the Trefftz functions is carried out by means of the well‐known Kirchhoff transformation in conjunction with various variable transformations.

Findings

The study shows that, in contrast to the conventional FEM, the HT‐FEM is an accurate numerical scheme for FGMs in terms of the number of unknowns and is insensitive to mesh distortion. The method also performs very well in terms of numerical accuracy and can converge to the analytical solution when the number of elements is increased.

Originality/value

The value of this paper is twofold: a T‐complete set of homogeneous solutions for nonlinear FMGs has been derived and used to represent the intra‐element temperature; and the corresponding variational functional and the associated algorithm has been constructed.

Details

Engineering Computations, vol. 28 no. 5
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 15 November 2011

Hui Wang and Qinghua Qin

The purpose of this paper is to present a new special element model for thermal analysis of composites.

416

Abstract

Purpose

The purpose of this paper is to present a new special element model for thermal analysis of composites.

Design/methodology/approach

A hybrid finite element formulation taking the fundamental solution as kernel function is presented in this work for analyzing the thermal behavior and predicting the effective thermal conductivity of fiber‐reinforced composites. A representative volume cell containing single or multiple fibers (or inclusions) is considered to investigate the overall temperature distribution affected by the inclusions and the interactions among them, and to evaluate the effective thermal conductivity of the composites using the presented algorithm with special‐purpose inclusion elements. Numerical examples are presented to demonstrate the accuracy and applicability of the proposed method in analyzing fiber‐reinforced composites.

Findings

The independent intra‐element field and frame field, as well as the newly‐developed hybrid functional, make the algorithm versatile in terms of element construction, with the result that the related variational functional involves the element boundary integral only. All numerical results are compared with the solutions from ABAQUS and good agreement is observed for all cases, clearly demonstrating the potential applications of the proposed approach to large‐scale modeling of fiber‐reinforced composites. The usage of special inclusion element can significantly reduce model meshing effort and computing cost, and simultaneously avoid mesh regeneration when the fiber volume fraction is changed.

Practical implications

Due to the fact that the established special elements exactly satisfy the interaction of matrix and fiber within the element, only element boundary integrals are involved, thus the algorithm can significantly reduce modeling effort and computing cost with less elements, and simultaneously avoid mesh regeneration when the fiber volume fraction is changed.

Originality/value

Based on the special fundamental solution, a newly‐constructed inclusion element is applied to a number of test problems involving unit RVCs with multiple fibers to access the accuracy of the model. The effective thermal conductivity of the composites is evaluated for cases of single and multiple fibers using the average temperatures at certain points on a data‐collection surface. A new algorithm for evaluating effective properties with special elements is presented.

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Article
Publication date: 5 December 2024

Shuwei Zong, Yi Han, Fu Yang and Qin Wang

Based on the job demands-resources model (JD-R model) and conservation of resources (COR) approach, this study aims to examine how role overload and leader–leader exchange (LLX…

97

Abstract

Purpose

Based on the job demands-resources model (JD-R model) and conservation of resources (COR) approach, this study aims to examine how role overload and leader–leader exchange (LLX) affect leaders’ voice rejection, and explore when the positive relationship between role overload and voice rejection is weakened.

Design/methodology/approach

This study used three-wave data from 205 leader–employee pairs and tested the hypothesized moderated mediation model using hierarchical regression and bootstrapping.

Findings

Results revealed that two parallel paths influence leaders’ voice rejection. The first path was “LLX → change self-efficacy → voice rejection”, and the second path was “role overload → emotional exhaustion → voice rejection”. LLX weakened the direct relationship between role overload and emotional exhaustion, and weakened the indirect relationship between role overload and voice rejection via emotional exhaustion.

Practical implications

Organizations need to provide team leaders with additional resources and reduce their workloads to enhance their effectiveness in fulfilling the role of voice managers.

Originality/value

This study provides a comprehensive explanation, according to the JD-R model and COR theory, of how and when job demand and job resource influence leaders’ voice rejection, thereby enhancing our understanding of the formation. It provides new insights into leader voice rejection.

Details

Journal of Managerial Psychology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0268-3946

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Article
Publication date: 25 April 2022

Zhao-Qin Wang, Yu Shi and Xiao-Rong Wang

The bisection inverse search bow height control interpolation (BIS-BHCI) method for nonuniform rational B-splines (NURBS) curve is proposed to accomplish the serial robotic plasma…

81

Abstract

Purpose

The bisection inverse search bow height control interpolation (BIS-BHCI) method for nonuniform rational B-splines (NURBS) curve is proposed to accomplish the serial robotic plasma cladding of planar complex curve coating with high precision.

Design/methodology/approach

A plasma–computer integrated cladding system is constructed based on a Motoman-UP6 serial robot and a plasma power. Based on the BIS-BHCI method, combining the serial robotic kinematics with the NURBS curve model, an offline plasma cladding software is developed for Motoman-UP6. Before plasma cladding, a planar NURBS curve coating is designed and defined and its BIS-BHCI is carried out with proper parameters. Then, the cladding programs are generated using the BIS-BHCI results and the robotic kinematics and inputted into the serial robotic controller. After that, the plasma cladding of the planar NURBS curve coating is implemented based on the Motoman-UP6 serial robot.

Findings

The simulation and plasma cladding for the NURBS curve coating shows that the BIS-BHCI method is feasible and effective. Plasma cladding of complex NURBS curve coating based on serial robot is feasible and effective.

Originality/value

The complex NURBS curve coating is prepared based on a serial robot platform for the first time. It provides a theoretical and technical basis for plasma cladding to produce surface coatings of industrial complex parts. With the increasing application of complex parts, the plasma cladding process of complex NURBS curve coatings has a broad application prospect.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 6
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 11 April 2023

Qi Yang, ZhiQiang Feng, RuanBing Zhang, YunPu Wang, DengLe Duan, Qin Wang, XiaoYu Zou and YuHuan Liu

This study aims to develop a green, economical and efficient ultrasonic-/microwave assisted extraction (UMAE) process for the extraction of anthocyanins.

127

Abstract

Purpose

This study aims to develop a green, economical and efficient ultrasonic-/microwave assisted extraction (UMAE) process for the extraction of anthocyanins.

Design/methodology/approach

After optimizing the extraction conditions by response surface methodology, three assays including DPPH, ABTS·+, FRAP were applied to analyze the antioxidant activity of the extracted anthocyanins. The stability under different temperatures, reductant concentrations and pHs was also discussed. The components of anthocyanins in blueberry were analyzed by HPLC-QTOF-MS2.

Findings

The optimal extraction parameters were ultrasonic power of 300 W, microwave power of 365.28 W and solid–liquid ratio of 30 (g/mL). The possible structures can be speculated as Delphinidin-3-O-galactoside, Delphinidin, Petunidin, Delphinidin-3-O-glucoside, Petunidin-3-O-glucoside, Cyanidin-3-O-glucoside. The results demonstrated that the UMAE can improve the yield of anthocyanins in shorter extraction time with higher activity.

Originality/value

The present study may provide a promising and feasible route for extracting anthocyanins from blueberries and studying their physicochemical properties, ultimately promoting the utilization of blueberry anthocyanins.

Details

Pigment & Resin Technology, vol. 53 no. 5
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 13 December 2024

Qin-Ying Wang, Wen-Qi Ma, Hui Chai, Xing-Shou Zhang, Yu-Chen Xi and Shu-Lin Bai

This study aims to investigate the effect of powder recycling on the microstructure of plasma-sprayed Ni625-WC composite coating and to verify the feasibility of Ni625-WC powder…

21

Abstract

Purpose

This study aims to investigate the effect of powder recycling on the microstructure of plasma-sprayed Ni625-WC composite coating and to verify the feasibility of Ni625-WC powder recycling by comparing the corrosion resistance of the coatings in high-temperature and pressure CO2 environment.

Design/methodology/approach

Recycling powder is an efficient way to improve the utilization rate of metal powder during plasma spraying. The plasma-sprayed Ni625-WC composite coatings with original powder (OC) and recovered powder (RC) were analytically compared by using scanning electron microscope (SEM) equipped with an energy-dispersive spectroscopy, X-ray diffractometer, and X-ray photoelectron spectroscopy. The corrosion resistance of the Ni625-WC composite coatings was characterized in a self-designed high-temperature and pressure autoclave by an electrochemical workstation.

Findings

The results showed that there is massive M23C6 in OC and acicular M23C6 in RC. The WC particles in RC are more uniformly distributed, and the area ratios of WC particles to Inconel 625 matrix are 2.37% higher than OC. RC showed high corrosion resistance, and the recycling of Ni625-WC powder is feasible.

Originality/value

The feasibility of Ni625-WC powder recycling was verified from the microstructure evolution and electrochemical behavior of the coatings.

Details

Anti-Corrosion Methods and Materials, vol. 72 no. 1
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 27 January 2025

Yi Wu, Jiahui Wu and Yuanyuan Cai

This study aims to investigate whether brand positioning strategies influence individuals’ conformity in product choices and identifies the mediator and boundary condition of this…

20

Abstract

Purpose

This study aims to investigate whether brand positioning strategies influence individuals’ conformity in product choices and identifies the mediator and boundary condition of this relationship.

Design/methodology/approach

To test the hypotheses, three experiments were conducted, with data collected using an online platform.

Findings

The results indicate that local (vs global) brand positioning promotes consumers’ tendencies to conform in their product choice. Furthermore, this effect is sequentially driven by their perceived similarity with such positioning and the feeling of social connectedness. The influence of local (vs global) brand positioning on consumer conformity diminishes among consumers with a focus on similarity.

Originality/value

This study expands the consumer conformity literature by identifying a new antecedent of consumer conformity. It also introduces a novel downstream consequence of local (vs global) brand positioning on consumer behavior and provides a broader theoretical basis for understanding the psychological connotations underlying local (vs global) brands.

Details

Journal of Product & Brand Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1061-0421

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Article
Publication date: 21 August 2017

Song Xiao Ting, Liu Feng and Wang Qin

Entrepreneurial mentoring is widely regarded as an effective way to train novice entrepreneurs all over the world. However, the effectiveness of this approach and the determinants…

1481

Abstract

Purpose

Entrepreneurial mentoring is widely regarded as an effective way to train novice entrepreneurs all over the world. However, the effectiveness of this approach and the determinants are not well understood under country-specific conditions. The purpose of this paper is to build a conceptual framework and use empirical analysis to explore the mentoring effect and its determinants, especially in the Chinese context.

Design/methodology/approach

The paper uses data from 172 young entrepreneurs which had been supported by Youth Business China, Mianyang Office since 2008. The factor analysis and structural equation model have been applied to analyze the data to investigate the quantitative relationship and path of the mentoring effect of entrepreneurship with mentor’s factors, young entrepreneurs (mentees’s factors) and their interrelationship.

Findings

The assessment scores of the entrepreneurship mentoring effect both in experience level and effectiveness level are relatively high, in the satisfactory range. The entrepreneurship mentoring effect, measured by the experience and the performance level, is determined by the coupling interaction of the mentor, the mentee and their interactive relationship. Among them, the mentor’s characteristic, the most important being his/her intention, has the biggest effect on the mentoring effect, significantly bigger than the mentor’s quality and skill. However, the mentor’s intention is not strong as expected. The interactive relationship between the mentor and the mentee also has a significant positive effect on entrepreneurial mentoring effect. The study also discovered the mentee factors have comparatively smaller effect on both the interactive relationship and the mentoring effect. Furthermore, it is found that the absorptive capability and learning intention of the young entrepreneur are relatively weak.

Research limitations/implications

The construction of the index system of this research reflects the overall characteristics of the research objects and their static relationships. Therefore, the dynamic change of the mentoring relationship in different phases of the mentorship has not been taken into account. Also, self-serving bias may exist as this research measures the mentoring effect by the feedback on the mentor’s perception, using surveys completed by the mentees to measure both the mentee’s traits and the mentor’s qualities.

Practical implications

This study provides guidance on how entrepreneurship could be promoted and on how educational institutions in China can make the mentoring process a positive and effective system in order to enhance the mentoring effect.

Social implications

The empirical conclusions of the present study can be applied to other business incubator, entrepreneurship education institutions and for the improvement and promotion of entrepreneurial mentoring system in China.

Originality/value

This paper probes into the mentoring system in the context of China from a new perspective and proposes an original conceptual model to study the entrepreneurship mentoring effect and its determinant.

Details

Management Decision, vol. 55 no. 7
Type: Research Article
ISSN: 0025-1747

Keywords

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Book part
Publication date: 18 April 2018

John N. Ivan and Karthik C. Konduri

Purpose – This chapter gives an overview of methods for defining and analysing crash severity.Methodology – Commonly used methods for defining crash severity are surveyed and…

Abstract

Purpose – This chapter gives an overview of methods for defining and analysing crash severity.

Methodology – Commonly used methods for defining crash severity are surveyed and reviewed. Factors commonly found to be associated with crash severity are discussed. Approaches for formulating and estimating models for predicting crash severity are presented and critiqued. Two examples of crash severity modelling exercises are presented and findings are discussed. Suggestions are offered for future research in crash severity modelling.

Findings – Crash severity is usually defined according to the outcomes for the persons involved. The definition of severity levels used by law enforcement or crash investigation professionals is less detailed and consistent than what is used by medical professionals. Defining crash severity by vehicle damage can be more consistent, as vehicle response to crash forces is more consistent than that of humans. Factors associated with crash severity fall into three categories – human, vehicle/equipment and environmental/road – and can apply before, during or after the crash event. Crash severity can be modelled using ordered, nominal or several different types of mixed models designed to overcome limitations of the ordered and nominal approaches. Two mixed modelling examples demonstrate better prediction accuracy than ordered or nominal modelling.

Research Implications – Linkage of crash, roadway and healthcare data sets could create a more accurate picture of crash severity. Emerging statistical analysis methods could address remaining limitations of the current best methods for crash severity modelling.

Practical Implications – Medical definitions of injury severity require observation by trained medical professionals and access to private medical records, limiting their use in routine crash data collection. Crash severity is more sensitive to human and vehicle factors than environmental or road factors. Unfortunately, human and vehicle factor data are generally not available for aggregate forecasting.

Details

Safe Mobility: Challenges, Methodology and Solutions
Type: Book
ISBN: 978-1-78635-223-1

Keywords

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