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Article
Publication date: 7 November 2016

Jiajun Gu, Fenghua Xie and Xingsi Wang

The purpose of this paper is to explore the relationship between top management team (TMT) internal social capital and strategic decision-making speed, and further explore role of…

848

Abstract

Purpose

The purpose of this paper is to explore the relationship between top management team (TMT) internal social capital and strategic decision-making speed, and further explore role of TMT behavioral integration in their relationship. It reveals how TMT internal social capital impacts strategic decision-making speed.

Design/methodology/approach

On the basis of the social capital theory and upper echelons theory, at first, a model about TMT internal social capital and strategic decision-making speed is proposed by exploratory case study. Then, the data obtained via questionnaire from 67 TMTs by software SPSS 19.0 and AMOS 17.0 are analyzed, and the theoretical hypotheses as mentioned above are verified.

Findings

The empirical study found that different dimensions of TMT internal social capital have significant positive impact on TMT behavioral integrity; TMT behavioral integrity has significant positive impact on strategic decision-making speed; and TMT behavioral integrity as an intermediary variable played a brokering role in the relationship between TMT internal social capital and strategic decision-making speed.

Originality/value

The study enriches the empirical test on the relationship between TMT internal social capital and decision speed, thereby helping the authors further understand how to improve the speed of strategic decision making in TMT.

Details

Kybernetes, vol. 45 no. 10
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 3 May 2011

Jiajun Gu and Qixin Cao

Two and one half‐dimensional (2.5D) grid maps are useful for navigation in outdoor environment or on non‐flat surface. However, little attention has been given to how to find an…

861

Abstract

Purpose

Two and one half‐dimensional (2.5D) grid maps are useful for navigation in outdoor environment or on non‐flat surface. However, little attention has been given to how to find an optimal path in a 2.5D grid map. The purpose of this paper is to develop a path‐planning method in a 2.5D grid map, which aims to provide an efficient solution to robot path planning no matter whether the robot is equipped with the prior knowledge of the environment.

Design/methodology/approach

A 2.5D grid representation is proposed to model non‐flat surface for mobile robots. According to the graph extracted from the 2.5D grid map, an improved searching approach derived from A* algorithm is presented for the shortest path planning. With reasonable assumption, the approach is improved for the path planning in unknown environment.

Findings

It is confirmed by experiments that the proposed planning approach provide a solution to the problem of optimal path planning in 2.5 grid maps. Furthermore, the experiment results demonstrate that our 2.5D D* method leads to more efficient dynamic path planning for navigation in unknown environment.

Originality/value

This paper proposes a path‐planning approach in a 2.5D grid map which is used to represent a non‐flat surface. The approach is capable of efficient navigation no matter whether the global environmental information is available at the beginning of exploration.

Details

Industrial Robot: An International Journal, vol. 38 no. 3
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 15 November 2012

Jiajun Gu, Qingxiong Weng and Fenghua Xie

The aim of this paper is to explore the relationship between leadership style, top management teams' (TMTs') behavioral integration, and strategic decision‐making speed. It…

1400

Abstract

Purpose

The aim of this paper is to explore the relationship between leadership style, top management teams' (TMTs') behavioral integration, and strategic decision‐making speed. It reveals how leadership impacts on team progress and strategic decision‐making speed.

Design/methodology/approach

The sample was collected from more than ten provinces/cities in China. Factor analysis and structural equation model (SEM) were used to conduct the data.

Findings

The empirical study found that leadership style has a direct positive impact on the speed of strategic decision making, and an indirect positive impact on the speed of strategic decision making through the team behavior integration. The results of SEM show both leadership style and team behavior integration have a significant impact on strategic decision‐making speed. It demonstrates that transformational leadership and transactional leadership have both direct and indirect impact on the speed of strategic decisions. Moreover, transformational leadership has a greater impact than transactional leadership on team behavior integration and strategic decision‐making speed.

Originality/value

The study enriches the empirical test on the relationship between leadership, team and decision speed, therefore helping us further understand how to improve the speed of strategic decision‐making.

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Article
Publication date: 21 August 2009

Jiajun Gu and Qixin Cao

Path planning approaches based on conventional occupancy grid maps are problematic in off‐road environment because impossible areas include not only obstacles but also landscapes…

426

Abstract

Purpose

Path planning approaches based on conventional occupancy grid maps are problematic in off‐road environment because impossible areas include not only obstacles but also landscapes like ramps and pits. The purpose of this paper is to develop a path planning method in a hybrid grid map, which aims to provide a better solution for outdoor navigation.

Design/methodology/approach

A hybrid vision system which consists of one stereo vision and one omnidirectional vision is adopted to provide environmental information for 2.5D grid and 2D grid mapping, respectively. An improved planning method originated from conventional D*‐based search algorithm is proposed for more efficient navigation in such hybrid grid maps.

Findings

It is confirmed by simulations and experiments that the path planning in the hybrid grid map is more efficient than that in conventional grid maps. Furthermore, it helps to guarantee a safe exploration for field and planetary robots.

Originality/value

This paper proposes a path planning approach in a hybrid grid map representing unstructured environment. The map consists of two different grid representations with diverse resolutions and structures, named 2.5D and 2D grids. The navigation process is expected to become efficient by reducing the replanning times and track length.

Details

Industrial Robot: An International Journal, vol. 36 no. 5
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 8 February 2021

Jiajun Xu, Linsen Xu, Gaoxin Cheng, Jia Shi, Jinfu Liu, Xingcan Liang and Shengyao Fan

This paper aims to propose a bilateral robotic system for lower extremity hemiparesis rehabilitation. The hemiplegic patients can complete rehabilitation exercise voluntarily with…

316

Abstract

Purpose

This paper aims to propose a bilateral robotic system for lower extremity hemiparesis rehabilitation. The hemiplegic patients can complete rehabilitation exercise voluntarily with the assistance of the robot. The reinforcement learning is included in the robot control system, enhancing the muscle activation of the impaired limbs (ILs) efficiently with ensuring the patients’ safety.

Design/methodology/approach

A bilateral leader–follower robotic system is constructed for lower extremity hemiparesis rehabilitation, where the leader robot interacts with the healthy limb (HL) and the follow robot is worn by the IL. The therapeutic training is transferred from the HL to the IL with the assistance of the robot, and the IL follows the motion trajectory prescribed by the HL, which is called the mirror therapy. The model reference adaptive impedance control is used for the leader robot, and the reinforcement learning controller is designed for the follower robot. The reinforcement learning aims to increase the muscle activation of the IL and ensure that its motion can be mastered by the HL for safety. An asynchronous algorithm is designed by improving experience relay to run in parallel on multiple robotic platforms to reduce learning time.

Findings

Through clinical tests, the lower extremity hemiplegic patients can rehabilitate with high efficiency using the robotic system. Also, the proposed scheme outperforms other state-of-the-art methods in tracking performance, muscle activation, learning efficiency and rehabilitation efficacy.

Originality/value

Using the aimed robotic system, the lower extremity hemiplegic patients with different movement abilities can obtain better rehabilitation efficacy.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 3
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 27 January 2025

Guisheng Gan, Hao Yang, Jie Luo, Yongchong Ma, Jiajun Zhang, Xin Liu, Qiao He, Leqi Li and Dayong Cheng

The purpose of this study was to investigate the effects of aging time on the microstructure, mechanical properties and fracture morphology of Cu/Zn160%SAC0307/Al solder joints…

4

Abstract

Purpose

The purpose of this study was to investigate the effects of aging time on the microstructure, mechanical properties and fracture morphology of Cu/Zn160%SAC0307/Al solder joints produced through solid-state bonding.

Design/methodology/approach

Zn particles with a size of 1 µm and Sn-0.3Ag-0.7Cu (SAC0307) particles ranging from 20 to 38 µm were used to achieve Cu/Al micro-connections using ultrasonic assistance at a temperature of 180 °C, followed by aging treatment at 150 °C to enhance the quality of Cu/Al joints. Scanning electron microscopy was used for observing and analyzing the solder seam, interface microstructure, and fracture morphology. The structural composition was determined using energy dispersive spectroscopy, while a PTR-1102 bonding tester was used to measure the average shear strength.

Findings

The results indicated that the intermetallic compounds formed at the interface between Cu substrates and solder metal primarily consisted of smooth Cu5Zn8. The Al-side interface mainly comprises an Al-Sn-Zn solid solution, with Zn-Sn-Cu phases forming between SAC0307 particles at 180 °C. During the aging process, atomic diffusion was accelerated, leading to improved connection quality. The shear strength of the joints initially increased before decreasing as aging time progressed; it peaked at 32.92 MPa after 24 h – an increase of 76.8% compared to as-received joints. After reaching stability at 96 h, there was still a notable increase in shear strength by 48.4% relative to as-received joints.

Originality/value

This study further explores the strengthening mechanisms associated with solid-state bonded Cu/SACZ/Al joints through aging processes. Joints created via solid-state bonding demonstrate superior reliability compared to traditional soldered connections. It is anticipated that insights gained from this research will contribute valuable knowledge toward developing low-temperature soldering methodologies for heterogeneous materials.

Details

Microelectronics International, vol. 42 no. 1
Type: Research Article
ISSN: 1356-5362

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Article
Publication date: 11 December 2020

Jiajun Liu and Pingyu Jiang

Social manufacturing has emerged. It aims to integrate the manufacturing resources of micro- and small-scale manufacturing enterprises (MSMEs) and help MSMEs cope with the…

559

Abstract

Purpose

Social manufacturing has emerged. It aims to integrate the manufacturing resources of micro- and small-scale manufacturing enterprises (MSMEs) and help MSMEs cope with the dynamic, service-oriented and personalized market demands. In social manufacturing, MSMEs cooperate with each other through manufacturing resource sharing. However, because MSMEs are distributed and decentralized, the efficiency of establishing reliable cooperation between MSMEs is relatively low. Therefore, this paper presents a blockchain-driven cyber-credit evaluation system (BCCES) to implement distributed cyber-credit evaluation. BCCES can provide reliable cyber-credit for distributed MSMEs without the trusted third party. This can improve the efficiency of establishing reliable cooperation among unauthentic MSMEs.

Design/methodology/approach

The paper proposes a BCCES to evaluate MSMEs' cyber-credit in decentralized environment. In BCCES, a cyber-credit evaluation model is proposed by improving set pair analysis (SPA) method, and cyber-credit smart contract and distributed consensus mechanism are designed according to the runtime logic of distributed cyber-credit evaluation.

Findings

The results confirmed that BCCES is feasible and effective to implement cyber-credit evaluation without the trusted third party. With the advantages of blockchain, BCCES can automatically realize cyber-credit evaluation through smart contract and distributed consensus. At the same time, BCCES can evaluate the real-time cyber-credit of MSMEs based on their latest service evaluation. In addition, we can design corresponding smart contracts according to actual requirements, which makes blockchain applicable to different distributed scenarios.

Originality/value

The paper combines blockchain and SPA to implement cyber-credit evaluation in social manufacturing and provides a new feasible idea for cyber-credit evaluation without the trusted third party. This can also provide MSMEs a reference of applying blockchain to other distributed scenarios through combining smart contract and different algorithms.

Details

Industrial Management & Data Systems, vol. 121 no. 4
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 20 January 2021

Qian Wang, Chang Xiong and Jiajun Liu

The foundations of internally driven discipline are similar to self-directed learning (SDL). This study examines the effect of cultural orientation and SDL on the online…

776

Abstract

Purpose

The foundations of internally driven discipline are similar to self-directed learning (SDL). This study examines the effect of cultural orientation and SDL on the online performance of college students. It investigates how college students pursue SDL while maintaining a collectivist cultural orientation in their learning experience. It explains why students prefer SDL to learning constrained by an externally enforced discipline.

Design/methodology/approach

The explanatory sequential mixed-method design uses a quantitative method, followed by qualitative enquiry. The research was conducted in an undergraduate non-credit online course in China.

Findings

The findings show that cultural orientation has no impact on students' online performance, while SDL abilities are positively related to it. When fully mediated by SDL, a horizontal-collectivist culture has a positive effect on students' online performance.

Research limitations/implications

Data were collected in a non-credit online college course, where the final assessment used a peer-rating approach and team members shared the same final score. This scoring method may not fully reflect each student's online performance.

Practical implications

The findings suggest that, when considering cultural influence on student performance, researchers should consider learning contexts, including educational level and learning mode. This study validates that colleges should focus on ability and skill development that enhance internal motivation to improve students' online performance, rather than focussing on their beliefs.

Originality/value

This paper introduces evidence to support the impact of culture on college students' online performance, showing that SDL abilities can drive performance.

Details

International Journal of Educational Management, vol. 35 no. 6
Type: Research Article
ISSN: 0951-354X

Keywords

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Article
Publication date: 10 December 2024

Enqin Gong, Yousong Wang, Xiaowei Zhou and Jiajun Duan

Environmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance…

82

Abstract

Purpose

Environmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance quality. However, there is a lack of research on the ESG aspects of the asset sustainability of infrastructure Real Estate Investment Trusts (REITs), particularly in terms of how ESG affects asset sustainability and their intrinsic relationships. Therefore, this study aims to explore the ESG factors affecting the asset sustainability of infrastructure REITs and their intrinsic linkages, in order to enhance the long-term sustainability of the asset.

Design/methodology/approach

The study employed structural equation modeling (SEM) to analyze the relationship between ESG factors and the sustainability of infrastructure REITs, through a comprehensive literature review and questionnaire survey to collect data. This method aims to provide a quantitative analysis framework to assess the impact strength and interactions of these factors.

Findings

The 11 ESG factors positively influence the sustainability of infrastructure assets. Specifically, carbon emission management, information disclosure and infrastructure asset management have the most substantial impacts, with path coefficients of 0.830, 0.814 and 0.817, respectively. Measures such as optimizing resource use, enhancing transparency and improving operational efficiency contribute to increased asset sustainability. Also, interviews indicate that asset managers and corporate executives with overseas educational backgrounds play a crucial role in the ESG management of infrastructure assets. Sustainability can be enhanced by promoting sustainable technologies and enhancing cross-cultural communication.

Practical implications

The results offer guidance for infrastructure REIT managers and policymakers, emphasizing the importance of strengthening specific ESG practices to enhance sustainability. This provides an empirical basis for optimizing ESG policies and practices, helping to advance infrastructure REITs towards more sustainable development directions.

Originality/value

This study offers new insights into the field of ESG for infrastructure REITs in China by providing specific analysis of ESG factors and applying SEM. The originality of this study lies in its deep exploration of the specific impact factors within the ESG dimensions and quantifying their relationship with sustainability, offering strong scientific support for the sustainable development practices of infrastructure REIT.

Details

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

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Article
Publication date: 25 May 2022

Yee Sye Lee, Ali Rashidi, Amin Talei, Mehrdad Arashpour and Farzad Pour Rahimian

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A…

814

Abstract

Purpose

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

Design/methodology/approach

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

Findings

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

Originality/value

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

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