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Article
Publication date: 3 April 2020

Weiguo Yang, Qi Hao and Hongfeng Song

The purpose of this paper is to investigate how perceived supervisor support (PSS) affects employees' innovation implementation behavior (IIB), the psychological mechanisms of…

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Abstract

Purpose

The purpose of this paper is to investigate how perceived supervisor support (PSS) affects employees' innovation implementation behavior (IIB), the psychological mechanisms of this relationship, and the role of perceived coworker support (PCS).

Design/methodology/approach

Using a three-phase survey, data were collected from 307 employees of a state-owned coal company located in the central region of China. The study tests the hypotheses by using hierarchical regression analyses. The mediating effects and the moderated mediating effects are further examined by using bias-corrected bootstrapping methods.

Findings

Affective commitment (AC) fully mediates the positive relationship between PSS and IIB, and this mediating effect can be moderated by PCS.

Practical implications

Companies should foster supportive supervisors and colleagues by investing in appropriate training programs. In addition, managers should emphasize the psychological changes of employees and provide more supportive feelings for them.

Originality/value

The study explicitly tests the entire causal chain implied by organizational support theory in predicting IIB. It specifies the different role of two similar support constructs (i.e. supervisor support and coworker support) in affecting employees' attitudes and behaviors.

Details

Journal of Managerial Psychology, vol. 35 no. 3
Type: Research Article
ISSN: 0268-3946

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Article
Publication date: 12 February 2025

Xia Liu, Yuli Wang, Shanshan Li, Lei Chen, Fanbo Li and Hongfeng Zhang

The objective of this study is to utilize empirical research and analysis to examine the coupling coordination relationship between new quality productivity and higher vocational…

1

Abstract

Purpose

The objective of this study is to utilize empirical research and analysis to examine the coupling coordination relationship between new quality productivity and higher vocational education sustainable development.

Design/methodology/approach

To this end, an evaluation index system for the new quality productivity and higher vocational education sustainable development was constructed. The panel data of 30 Chinese provinces from 2016 to 2022 were then analyzed using the entropy method, the coupling coordination degree model, the Tobit regression model and Dagum’s Gini coefficient.

Findings

The findings indicate that the coupling coordination degree of new quality productivity and higher vocational education sustainable development exhibited an upward trend, though significant regional disparities were observed, with the highest coupling coordination degree recorded in the eastern region and the lowest in the northeastern region.

Originality/value

The study’s findings further suggest that the three factors of technological innovation level, rationalization of industrial structure and advanced industrial structure have a significant positive influence on the coupling coordination degree, while the level of government intervention has a significant negative influence on the Coupling Coordination Degree. The study posits that augmenting policy support, optimizing the government’s role, reinforcing the drive for technological innovation, and enhancing regional cooperation and exchange are imperative to foster high-quality development of the integration of industry and education between new quality productivity and higher vocational education.

Details

Asian Education and Development Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-3162

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Article
Publication date: 19 July 2024

Haonan Chen, Anxia Wan, Guo Wei and Peng Benhong

This study aims to enhance the assessment of green governance in energy projects along the Belt and Road, reduce the influence of fuzzy judgment, and construct a grey network…

87

Abstract

Purpose

This study aims to enhance the assessment of green governance in energy projects along the Belt and Road, reduce the influence of fuzzy judgment, and construct a grey network analysis model from the perspective of Environmental, Social, and Governance (ESG).

Design/methodology/approach

The ESG concept is used to establish an evaluation indicator system. The Analytic Network Process (ANP) and the Grey System Theory are applied sequentially to determine the green governance grade of energy projects, exemplified by an evaluation of five projects.

Findings

The Karot hydropower project has the best green governance status among the five projects and is of excellent grade. This is followed by the Hongfeng photovoltaic project, the De Aar wind power project, and the Yamal liquefied natural gas project, which are of good grade. The Lamu coal power station project has the worst green governance and is at a medium level.

Practical implications

This study can assist Belt and Road energy projects in identifying their deficiencies and promoting sustainable development by providing a robust framework for green governance evaluation.

Originality/value

The indicator system developed in this study includes social and project governance aspects in addition to environmental performance, reflecting the comprehensive green governance status of projects. The combined use of ANP and grey system theory fully considers the mutual influence relationship between indicators and improves the objectivity of green governance grade judgment.

Details

Management Decision, vol. 63 no. 1
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 18 June 2024

Wen Liu, Shuangchao Huang, Hongfeng Qi, Xin Zhao, Shulin Liang and Xuesong Jin

Dynamic low adhesion (DLA) has become an urgent problem for the high-speed wheel-rail system because of continuous decrease of adhesion redundancy in the past decades. This…

42

Abstract

Purpose

Dynamic low adhesion (DLA) has become an urgent problem for the high-speed wheel-rail system because of continuous decrease of adhesion redundancy in the past decades. This article aims to provide a simulation method to reveal the mechanism of DLA under high-frequency vibrations.

Design/methodology/approach

A transient wheel-rail rolling contact model is developed for a typical Chinese high-speed railway system using the explicit finite element (FE) method. Instantaneous adhesion exploitation levels are studied in the time domain, for which driving cases over corrugated rails are taken as an example. A speed up to 500 km/h is considered together with different traction coefficients and corrugation dimensions. DLA is expected when the instantaneous adhesion exploitation level reaches 1.0, that is adhesion saturates and full sliding contact occurs.

Findings

The instantaneous adhesion exploitation level can be very high in the presence of corrugation, even at low traction coefficients. DLA is found to occur as great vertical unloading takes place and causes a significant increase of creepage. An approach is further developed to determine the critical depth of corrugation over which DLA occurs.

Originality/value

This study employs the transient wheel-rail rolling contact model to predict the instantaneous adhesion exploitation level under high-frequency vibrations. The presented results reveal a mechanism of DLA being beneficial to guidelines for future railway practice.

Details

Engineering Computations, vol. 41 no. 5
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 24 April 2020

Venessa Chan Lyu, Ivan K.W. Lai, Hiram Ting and Hongfeng Zhang

The purpose of this paper is to explore the knowledge infrastructure of destination food research based on a systematic literature review. This bibliometric analysis involves…

889

Abstract

Purpose

The purpose of this paper is to explore the knowledge infrastructure of destination food research based on a systematic literature review. This bibliometric analysis involves authors, institutions, countries and co-citation networks and discloses trending developments in the field.

Design/methodology/approach

This study is based on 176 articles published in hospitality and tourism journals during the period 2000–2018 and bibliometric data downloaded from the ISI Web of Science. This review applies bibliometric analysis, citation network analysis and content analysis to examine the structure and networks of destination food knowledge so as to provide destination food researchers with a reference guide to the context, methods and focus of previous studies.

Findings

The findings demonstrate the development and trends of destination food research. This is the first study to address the limitations of prior systematic literature reviews by applying network analysis to reveal the interrelated structures and properties of the destination food research domain.

Practical implications

Practitioners can also discover trends in the design of development strategies, as well as identify extended themes that may be integrated with research in the field of destination food at present.

Originality/value

As a summary of key characteristics, this report is a useful reference guide to previous studies for researchers. This study presents core content about the destination food field and identifies development trends within destination food research. Based on the results, further research directions are provided.

Details

British Food Journal, vol. 122 no. 6
Type: Research Article
ISSN: 0007-070X

Keywords

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Article
Publication date: 1 July 2021

Yutian Yin, Hongda Zhou, Cai Chen, Yi Zheng, Hongqiao Shen and Yubing Gong

The simulated temperature profile of the printed circuit board assembly (PCBA) during reflow soldering process deviates from the actual profile. To reduce this relative deviation…

82

Abstract

Purpose

The simulated temperature profile of the printed circuit board assembly (PCBA) during reflow soldering process deviates from the actual profile. To reduce this relative deviation, a new strategy based on the Kriging response surface and the Multi-Objective Genetic Algorithm (MOGA) optimizing method is proposed.

Design/methodology/approach

The simulated temperature profile of the PCBA during reflow soldering process deviates from the actual profile. To reduce this relative deviation, a new strategy based on the Kriging response surface and the MOGA optimizing method is proposed.

Findings

Several critical influencing parameters such as temperature and the convective heat transfer coefficient of the specific temperature zones are selected as the correction parameters. The hyper Latins sampling method is implemented to distribute the design points, and the Kriging response surface model of the soldering process is constructed. The updated model is achieved and validated by the test. The relative derivation is reduced from the initial value of 43.4%–11.8% in terms of the time above the liquidus line.

Originality/value

A new strategy based on the Kriging response surface and the MOGA optimizing method is proposed.

Details

Soldering & Surface Mount Technology, vol. 34 no. 1
Type: Research Article
ISSN: 0954-0911

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