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Article
Publication date: 4 August 2023

Xiangyu Wei and Guangtao Yu

The purpose of this paper is to investigate how mentors affect the career satisfaction of protégés. Drawing from the Elaboration Likelihood Model (ELM), the authors propose a dual…

Abstract

Purpose

The purpose of this paper is to investigate how mentors affect the career satisfaction of protégés. Drawing from the Elaboration Likelihood Model (ELM), the authors propose a dual processing model that considers both cognition and emotion in the relationship between mentoring and the career satisfaction of protégés.

Design/methodology/approach

The study employed a three-stage questionnaire survey to collect data from employees in Chinese enterprises, resulting in a total of 329 valid responses.

Findings

The results showed that mentoring had a significant positive impact on protégé career satisfaction. Additionally, role clarity and positive affect of protégés played dual-mediating effects between mentoring and protégé career satisfaction. Moreover, as a non-mentoring behavior, mentor advice-seeking behavior strengthened the positive impact of mentoring on role clarity and positive affect.

Originality/value

In the study, the authors utilize the ELM as a new perspective to construct a dual-mediating model of protégé role clarity and positive affect to illuminate the mechanism of mentoring on protégé career satisfaction, advancing the literatures of mentoring relationship and career development. Further, the authors put forward the moderating effect of mentor advice-seeking behavior by considering it as a non-mentoring behavior of mentors to deepen the understanding of mentorships. Moreover, the authors attempt to propose the long-term cumulative effect of the dual processing to expand the application of the ELM in interpersonal processes.

Details

Career Development International, vol. 28 no. 5
Type: Research Article
ISSN: 1362-0436

Keywords

Article
Publication date: 15 May 2024

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Abstract

Purpose

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Design/methodology/approach

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings

A Chinese study revealed that mentoring had a significant positive impact on protégé career satisfaction. Additionally, the role clarity and positive affect of protégés played dual-mediating effects between mentoring and protégé career satisfaction. A particularly innovative aspect of the research was including the moderating effect of mentor advice-seeking behavior, which strengthened the positive impact of the mentoring.

Originality/value

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Details

Human Resource Management International Digest , vol. 32 no. 4
Type: Research Article
ISSN: 0967-0734

Keywords

Article
Publication date: 5 September 2016

Min Wu and Xiangyu Su

Because of the complexity of relationship between surface tension and its decisive factors, such as temperature, concentration, electronic density, molar atomic volume and…

Abstract

Purpose

Because of the complexity of relationship between surface tension and its decisive factors, such as temperature, concentration, electronic density, molar atomic volume and electro-negativity, a reasonable predicting model of surface tension of Sn-based solder alloys has not been developed yet. The paper aims to address the surface tension issue that has to be considered if the new lead free solder will be applied for electronics.

Design/methodology/approach

Using an artificial neural network (ANN) model with back-propagation (BP) algorithm, the surface tension for Sn-based binary solder alloys was simulated, and the comparison between the simulating results and data from experiments and literatures was analyzed as well. In addition, the relationship between surface tension and its decisive factors would be discussed based on the ANN and orthogonal design methods.

Findings

It is shown that the predicting model of surface tension of Sn-based solder alloys is constructed according to the BP–ANN theory, and the predicted value from the BP–ANN is in excellent agreement with the experimental results. The surface tension of Sn-based solders is determined by five factors, i.e. temperature, concentration, electronic density, molar atomic volume and electro-negativity. Among of the factors, molar atomic volume is major factor, and the order of degree of influence on surface tension is molar atomic volume > electro-negativity > electronic > density > concentration > temperature. Moreover, a simply reasonable equation is proposed to estimate the surface tension for Sn-based solders.

Originality/value

The five decisive factors of surface tension for Sn-based binary solder alloys have been analyzed theoretically, and a reasonable model of surface tension for Sn-based binary solder alloys is proposed as well. It is shown that ANN theory will be applied well to simulate the surface tension of Sn-based lead free solder.

Details

Soldering & Surface Mount Technology, vol. 28 no. 4
Type: Research Article
ISSN: 0954-0911

Keywords

Article
Publication date: 21 August 2017

Xiangyu Liu, Ping Zhang, Guanglong Du, Ziping He and Guohao Chen

The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory…

Abstract

Purpose

The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory and conditioned reflex. The approach is significant for dealing with the problems of robot’s redundant movements and operator’s fatigue in human–robot interaction system.

Design/methodology/approach

This paper presented a directional double clustering algorithm (DDCA) to achieve the training process. The DDCA ensured that the initial clustering centers uniformly distributed in every desired cluster. A minimal resource allocation network was used to construct a memory responding algorithm (MRA). When the human–robot interaction system needed to carry out a task for more than one time, the desired movements of the robot were given by the MRA without repeated training. Experimentally demonstrated results showed the proposed training-responding controlling approach could successfully accomplish human–robot interaction tasks.

Findings

The training-responding controlling approach improved the robustness and reliability of the human–robot interaction system, which presented a novel controlling method for the operator.

Practical implications

This approach has significant commercial applications, as a means of controlling for human–robot interaction could serve to point to the desired target and arrive at the appointed positions in industrial and household environment.

Originality/value

This work presented a novel training-responding human-robot controlling method. The human-robot controlling method dealt with the problems of robot’s redundant movements and operator’s fatigue. To the authors’ knowledge, the working processes of muscle memory and conditioned reflex have not been reported to apply to human-robot controlling.

Details

Industrial Robot: An International Journal, vol. 44 no. 5
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 24 August 2012

Xumei Zhang, Wei Chen, Jie Tong and Xiangyu Liu

The purpose of this paper is to study the effects of relational mechanisms and market contracts on cross‐enterprise knowledge trading in supply chain and to examine the role of…

1015

Abstract

Purpose

The purpose of this paper is to study the effects of relational mechanisms and market contracts on cross‐enterprise knowledge trading in supply chain and to examine the role of market contracts. Relational mechanism is categorized into indirect and direct relational mechanism in this paper. Cross‐enterprise knowledge trading is categorized into explicit and tacit knowledge trading. The indirect relational mechanism is mainly expressed by knowledge brokers, while the direct relational mechanism consists of shared goals and trust.

Design/methodology/approach

Multiple regression analysis was performed on questionnaire data from 256 Chinese manufacturing enterprises in supply chain in order to assess the relationships between relational mechanisms, market contracts and cross‐enterprise knowledge trading.

Findings

The results show that knowledge brokers and market contracts have significant and positive effects on explicit knowledge trading, but the effects on tacit knowledge trading are not significant. Shared goals and trust have significant and positive effects not only on explicit knowledge trading but also on tacit knowledge trading, while trust has a stronger positive effect on tacit knowledge trading than explicit knowledge trading. Finally, the moderating effects of market contracts are proven in the relationships between relational mechanisms and knowledge trading, excluding the relationship between knowledge brokers and tacit knowledge trading.

Originality/value

Previous studies about the cross‐enterprise knowledge trading in supply chain focused on theoretical research which did not match with reality, especially in China, where the relational mechanism in trading activities is strong. Based on relational exchange theory and transaction cost theory, a conceptual model for the effects of relational mechanisms and market contracts on cross‐enterprise knowledge trading in supply chain is proposed in this paper, and then empirically tested using the data collected from 256 Chinese manufacturing enterprises in supply chain with multiple regression models. The findings provide a theoretical basis for knowledge trading participants selecting an appropriate governance mechanism to promote knowledge trading, and these also guide the knowledge trading among members of supply chain in practice.

Article
Publication date: 27 March 2023

Meiling Tang, Xi Zhao, Xiangyu Li and Xiaotong Niu

This study aims to explore the effect of chief executive officer education on firms’ action timing and acquisition performance in industry merger waves. In addition, this study…

Abstract

Purpose

This study aims to explore the effect of chief executive officer education on firms’ action timing and acquisition performance in industry merger waves. In addition, this study investigated the moderating influence of CEO duality and firm cash flow on the relationship between education and entry timing.

Design/methodology/approach

Following the methodology for determining merger waves in previous studies, the authors identified 16 industry merger waves of Chinese listed firms from 2008 to 2019. Multiple linear regression was employed to examine the hypotheses.

Findings

The results showed that higher CEO education was associated with early participation in merger waves. CEO duality negatively moderated the education-entry timing relation. The effect of CEO education on entry timing was more pronounced when firms had higher cash flow. Moreover, more educated CEOs materially enhanced acquisition performance in merger waves.

Originality/value

Entry timing in industry merger waves has important implications, as early movers establish competitive advantages and achieve higher acquisition performance. However, the managerial characteristics determining entry timing have not received adequate attention. Meanwhile, studies examining the effect of CEO education on acquisitions are limited. This study explored the effect of CEO education on firms’ entry timing and acquisition performance in merger waves, thereby contributing to the literature on merger waves and managerial characteristics. This study’s findings regarding the moderators of the education-entry timing relation enrich the literature on corporate governance and agency theory.

Details

Chinese Management Studies, vol. 18 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 16 October 2017

Chengtao Cai, Bing Fan, Xiangyu Weng, Qidan Zhu and Li Su

Because of their large field of view, omnistereo vision systems have been widely used as primary vision sensors in autonomous mobile robot tasks. The purpose of this article is to…

202

Abstract

Purpose

Because of their large field of view, omnistereo vision systems have been widely used as primary vision sensors in autonomous mobile robot tasks. The purpose of this article is to achieve real-time and accurate tracking by the omnidirectional vision robot system.

Design/methodology/approach

The authors provide in this study the key techniques required to obtain an accurate omnistereo target tracking and location robot system, including stereo rectification and target tracking in complex environment. A simple rectification model is proposed, and a local image processing method is used to reduce the computation time in the localization process. A target tracking method is improved to make it suitable for omnidirectional vision system. Using the proposed methods and some existing methods, an omnistereo target tracking and location system is established.

Findings

The experiments are conducted with all the necessary stages involved in obtaining a high-performance omnistereo vision system. The proposed correction algorithm can process the image in real time. The experimental results of the improved tracking algorithm are better than the original algorithm. The statistical analysis of the experimental results demonstrates the effectiveness of the system.

Originality/value

A simple rectification model is proposed, and a local image processing method is used to reduce the computation time in the localization process. A target tracking method is improved to make it suitable for omnidirectional vision system. Using the proposed methods and some existing methods, an omnistereo target tracking and location system is established.

Details

Industrial Robot: An International Journal, vol. 44 no. 6
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 1 June 2021

Qiang Lu, Jinliang Chen, Hua Song and Xiangyu Zhou

The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also…

Abstract

Purpose

The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness.

Design/methodology/approach

Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses.

Findings

The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks.

Originality/value

To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

Details

Journal of Enterprise Information Management, vol. 35 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 3 February 2023

XiangYu Luan and XiaoHong Wang

This paper aims to investigate the impact of open innovation (OI) in Chinese enterprises on enterprise value (EV). At the same time, this research explores the effects of OI in…

1298

Abstract

Purpose

This paper aims to investigate the impact of open innovation (OI) in Chinese enterprises on enterprise value (EV). At the same time, this research explores the effects of OI in environmental, social and governance (ESG) and also reveals the intermediary role of ESG in the impact of OI on improving EV.

Design/methodology/approach

This study builds a theoretical framework to define a set of hypotheses verified in empirical research. Based on the panel data of Chinese listed companies removing missing data from 2011 to 2020, a two-way fixed effect model is used to study the relationship between OI, ESG and EV.

Findings

The research shows that OI of enterprises has effectively improved their value. At the same time, OI can also improve the ESG of enterprises. That OI increases EV is partly by the mediating path of ESG.

Originality/value

This study determines the influence of OI on EV from a stakeholder and sustainable development perspective, clarifying the mediating pathway of ESG in the relationship. Doing so could inspire companies to improve their OI and desire to enhance competitiveness. It will also prompt enterprises to pay attention to social responsibility activities.

Details

Business Process Management Journal, vol. 29 no. 2
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 16 April 2024

Shuyuan Xu, Jun Wang, Xiangyu Wang, Wenchi Shou and Tuan Ngo

This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s…

Abstract

Purpose

This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s condition information (i.e. defects), improve the efficiency and accuracy of bridge inspections by supporting practitioners and even machines with digitalised expert knowledge, and ultimately automate the process.

Design/methodology/approach

The research design consists of three major phases so as to (1) categorise common defect with regard to physical entities (i.e. bridge element), (2) establish internal relationships among those defects and (3) relate defects to their properties and potential causes. A mixed-method research approach, which includes a comprehensive literature review, focus groups and case studies, was employed to develop and validate the proposed defect model.

Findings

The data collected through the literature and focus groups were analysed and knowledge were extracted to form the novel defect model. The defect model was then validated and further calibrated through case study. Inspection reports of nearly 300 bridges in China were collected and analysed. The study uncovered the relationships between defects and a variety of inspection-related elements and represented in the form of an accessible, digitalised and user-friendly knowledge model.

Originality/value

The contribution of this paper is the development of a defect model that can assist inexperienced practitioners and even machines in the near future to conduct inspection tasks. For one, the proposed defect model can standardise the data collection process of bridge inspection, including the identification of defects and documentation of their vital properties, paving the path for the automation in subsequent stages (e.g. condition evaluation). For another, by retrieving rich experience and expert knowledge which have long been reserved and inherited in the industrial sector, the inspection efficiency and accuracy can be considerably improved.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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