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Article
Publication date: 20 September 2023

Ke Gao, Xiaoqin Zhou, Rongqi Wang, Mingxu Fan and Haochen Han

Compared with the high stiffness of traditional CNC machine tools, the structural stiffness of industrial robots is usually less than 1 N/µm. Chatter not only affects the quality…

227

Abstract

Purpose

Compared with the high stiffness of traditional CNC machine tools, the structural stiffness of industrial robots is usually less than 1 N/µm. Chatter not only affects the quality of robotic milling but also reduces the accuracy of the milling process. The purpose of this paper is to reduce chatter in the robotic machining process.

Design/methodology/approach

First, the mode coupling chatter mechanism is analyzed. Then the milling force model and the principal stiffness model are established. Finally, the robot milling stability optimization method is proposed. The method considered functional redundancies, and a new robot milling stability index is proposed to improve the quality of milling operations.

Findings

The experimental results prove a significant reduction in force fluctuations and surface roughness after using the proposed robotic milling stability optimization method.

Originality/value

In this paper, a new robot milling stability index and a new robot milling stability optimization method are proposed. This method can significantly increase the milling stability and improve the milling quality, which can be widely used in the industry.

Details

Industrial Robot: the international journal of robotics research and application, vol. 50 no. 6
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 12 December 2023

M.A. Xianglin, Haochen Cai, Qiming Yang, Gang Wang and Kun Mao

This paper establishes a quality model for automation assembly of range hood impeller based on generalized grey relational degree, it improves the debugging efficiency of the…

97

Abstract

Purpose

This paper establishes a quality model for automation assembly of range hood impeller based on generalized grey relational degree, it improves the debugging efficiency of the newly developed assembly workstation.

Design/methodology/approach

First, spot check the trial production impellers and obtain three indexes that reflect the assembly quality of the impellers. Then, analyze the parameters that affect the assembly quality of the impeller using grey relational analysis (GRA), establish a model for the assembly quality of the range hood impeller based on the generalized grey relational degree and identify the main parameters. After that, analyze the transmission structure of automation assembly workstation, identify the reasons that affect parameters and propose improvement plans. Finally, a trial production is conducted on the automation assembly workstation after adopting the improved plan to verify the quality model of impeller automation assembly.

Findings

The research shows that compared to manual assembly, the automation assembly quality of the impeller using GRA model has been improved, shortening the debugging cycle of the newly developed assembly workstation.

Practical implications

The newly developed automation equipment will have some problems in the trial production stage, which often rely on the experience of engineers for debugging. In this paper, the automation assembly quality model of range hood impeller based on GRA is established, which can not only ensure the quality of finished impeller but also shorten the debugging cycle of the equipment. In addition, GRA can be widely used in the commissioning of other automation equipment.

Originality/value

This study has developed a set of impeller automation assembly workstation. The debugging method in the trial production stage is beneficial to shorten the trial production time and improve the economic benefits.

Details

Grey Systems: Theory and Application, vol. 14 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

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Article
Publication date: 30 July 2021

Shujie Zhang, Wei Sun, Haochen Ji and Junyun Jia

The primary purpose of this paper is to identify the antecedent (i.e. leader's self-transcendent value) and outcomes (i.e. follower's environmental commitment and behavior) of…

1350

Abstract

Purpose

The primary purpose of this paper is to identify the antecedent (i.e. leader's self-transcendent value) and outcomes (i.e. follower's environmental commitment and behavior) of transformational leadership. The second purpose is to examine the mediating role of transformational leadership plays in the relationship between leader's self-transcendent value and follower's environmental commitment and behavior.

Design/methodology/approach

Multi-source data were collected at multiple times in China. A total of 262 employees and their 64 supervisors completed the survey. The authors conducted a series of confirmatory factor analyses (CFAs) to verify the validity of the constructs and adopted the SPSS PROCESS macro with bootstrapping techniques to test the hypotheses.

Findings

The authors find that leader's self-transcendent value is an important antecedent of transformational leadership, and transformational leadership can enhance followers' environmental commitment and foster their environmental behavior. Besides, transformational leadership plays a significant mediating role between leader's self-transcendent value and follower's environmental commitment and behavior.

Originality/value

This study has developed an integrated model of the antecedents and outcomes of transformational leadership in the Chinese context. It also confirmed that transformational leadership mediates the process through which leader's self-transcendent value has a positive impact on follower's environmental commitment and behavior.

Details

Leadership & Organization Development Journal, vol. 42 no. 7
Type: Research Article
ISSN: 0143-7739

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Article
Publication date: 11 February 2025

Shuaikang Hao and Hao Chen

The prevalence of live-streaming e-commerce leads to massive impulse purchases. Based on social learning theory, this study proposes a research model to explore the effect of…

25

Abstract

Purpose

The prevalence of live-streaming e-commerce leads to massive impulse purchases. Based on social learning theory, this study proposes a research model to explore the effect of streamers and viewers on impulsive buying by influencing consumers’ certainty perception.

Design/methodology/approach

This study adopts a questionnaire (N = 285) to collect data and conducts a partial least squares structural equation modelling (PLS-SEM) analysis to examine our research hypotheses.

Findings

Our results indicate that streamers and viewers improve product demand certainty and product quality certainty, but their effects on streamer quality certainty vary. In addition, product quality certainty is positively associated with impulsive buying, whereas streamer quality certainty and product demand certainty show a negative effect. Streamers can only drive impulse purchases by increasing product quality certainty, but the influence of viewers on consumers’ impulsive buying is fully mediated by product quality certainty and streamer quality certainty.

Originality/value

Our findings contribute to the literature on live-streaming e-commerce (LSE) by identifying the differential effects of streamers and viewers on impulsive buying. In addition, we broaden the area of certainty research in the LSE field to include product quality certainty, streamer quality certainty and product demand certainty and evaluate these certainty aspects as three psychological mechanisms that drive consumers’ impulse purchases.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 14 October 2013

Hao-Chen Huang, Mei-Chi Lai, Lee-Hsuan Lin and Chien-Tsai Chen

This study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. It also seeks…

10147

Abstract

Purpose

This study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. It also seeks to explore whether the existence of open innovation has a mediating effect and influence.

Design/methodology/approach

This study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to collect research data. In the conceptual framework, organizational inertia is a second-order latent variable and comprises three first-order latent variables: insight inertia, action inertia, and psychological inertia. Open innovation is also a second-order latent variable, and consists of two first-order latent variables: outbound and inbound open innovation. To clarify the relationship between these latent variables, structural equation modeling (SEM) is used to test the goodness of fit of the theoretical model and research hypotheses. This study uses 141 small to medium-sized manufacturing enterprises (SMEs) in Taiwan as the research subjects.

Findings

The SEM analysis revealed that open innovation has a significant mediating effect on the relationship between organizational inertia and business model innovation, and the relationship between organizational inertia and firm performance; business model innovation also has a positive influence on firm performance.

Originality/value

This study contributes the empirical analysis of SMEs to illustrate the role of open innovation on business model innovation processes.

Details

Journal of Organizational Change Management, vol. 26 no. 6
Type: Research Article
ISSN: 0953-4814

Keywords

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