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Article
Publication date: 26 July 2021

Zhiqiang Geng, Lingling Liang, Yongming Han, Guangcan Tao and Chong Chu

Food safety risk brought by environmental pollution seriously threatens human health and affects national economic and social development. In particular, heavy metal pollution and…

321

Abstract

Purpose

Food safety risk brought by environmental pollution seriously threatens human health and affects national economic and social development. In particular, heavy metal pollution and nutrient deficiency have caused regional diseases. Thus, the purpose of this paper is to present a risk early warning method of food safety considering environmental and nutritional factors.

Design/methodology/approach

A novel risk early warning modelling method based on the long short-term memory (LSTM) neural network integrating sum product based analytic hierarchy process (AHP-SP) is proposed. The data fuzzification method is adopted to overcome the uncertainty of food safety detection data and the processed data are viewed as the input of the LSTM. The AHP-SP method is used to fuse the risk of detection data and the obtained risk values are viewed as the expected output of the LSTM. Finally, the proposed method is applied on one group of sterilized milk data from a food detection agency in China.

Findings

The experimental results show that compared with the back propagation and the radial basis function neural networks, the proposed method has higher accuracy in predicting the development trend of food safety risk. Moreover, the causal factors of the risk can be figured out through the predicted results.

Originality/value

The proposed modelling method can achieve accurate prediction and early warning of food safety risk, and provide decision-making basis for the relevant departments to formulate targeted risk prevention and control measures, thereby avoiding food safety incidents caused by environmental pollution or nutritional deficiency.

Details

British Food Journal, vol. 124 no. 3
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 6 December 2020

Zhiqiang Liang, Xintian Liu, Wang Yansong and Xiaolan Wang

This study aims to accurately evaluate the influence of various error intervals on the performance of the wiper.

124

Abstract

Purpose

This study aims to accurately evaluate the influence of various error intervals on the performance of the wiper.

Design/methodology/approach

The wiper structural system is decomposed into classical four-link planar for kinematics analysis, and it was modeled respectively by using interval method, universal grey number theory and enumeration approach depending on the nature of uncertainty.

Findings

The universal grey number theory is a viable methodology for the accurate analysis of uncertain structural system.

Originality/value

(1) The model of uncertain wiper structural system is established. (2) Universal grey number theory and new parameters are adopted to analyze the presence of uncertain wiper structural system. (3) Comparative analysis of response quantities is obtained by interval method, universal grey number theory and enumeration method.

Details

Assembly Automation, vol. 41 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 20 March 2024

Gang Yu, Zhiqiang Li, Ruochen Zeng, Yucong Jin, Min Hu and Vijayan Sugumaran

Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due…

107

Abstract

Purpose

Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources.

Design/methodology/approach

Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors.

Findings

The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance.

Originality/value

This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects.

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: 2 September 2021

Xi Ouyang, Zhiqiang Liu and Chenglin Gui

Underpinned by the ability–motivation–opportunity framework, this paper aims to establish a framework of employee creativity antecedents in the hospitality and tourism industries…

1979

Abstract

Purpose

Underpinned by the ability–motivation–opportunity framework, this paper aims to establish a framework of employee creativity antecedents in the hospitality and tourism industries and meta-analytically examine the magnitude of effect sizes as well as the moderating effects of cultural factors.

Design/methodology/approach

A meta-analysis using data from 82 independent studies was conducted to explore the hypothesized relationships and verify how they were contingent on uncertainty avoidance and long-term orientation.

Findings

The results supported the majority of hypotheses about the relationships between antecedents and creativity. Furthermore, they showed that the effects of intrinsic motivation, positive affect and climate for innovation on creativity in the hospitality and tourism industries were significantly larger than those reported in previous meta-analyses. It also showed that uncertainty avoidance and long-term orientation could buffer or strengthen some associations.

Practical implications

This study generates some essential managerial suggestions for organizations in need of innovation. Managers can learn from the results so as to effectively promote the ability, motivation and opportunity for creativity and merge cultural elements with innovation strategy when they operate globally.

Originality/value

This study provides a theory-based explanation for how employee creativity can be activated. To the best of the authors’ knowledge, this study is a first attempt to meta-analytically test the underlying determinants of employee creativity in the hospitality and tourism industries. Additionally, the search for boundary conditions of the proposed relationships is likely to reconcile existing conflicts and inspire future studies.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 10
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 2 May 2017

Carlton Clark and Lei Zhang

This paper aims to elucidate the systemic processes underlying the enhanced information-control measures taken by the Chinese Communist Party (CCP) under the leadership of…

923

Abstract

Purpose

This paper aims to elucidate the systemic processes underlying the enhanced information-control measures taken by the Chinese Communist Party (CCP) under the leadership of President Xi Jinping. The tightening of state information control has stimulated increasingly sophisticated methods of disseminating information on the part of professional and citizen journalists. Drawing on social systems theory as articulated by Niklas Luhmann and others, the authors frame the CCP’s enhanced information-control efforts as a response to the increasing systemic complexity of Chinese journalism, which is part of a self-reproducing, self-regulating (autopoietic) global journalism system. The authors use both subtle and overt protests over Chinese censorship as evidence for the journalism system’s increasing complexity and autonomy. The authors observe that levels of complexity ratchet up as the CCP and Chinese journalism counter each other’s moves. Finally, the authors suggest that the increasing complexity of the CCP’s information-control apparatus may be unsustainable.

Design/methodology/approach

The authors ground their argument in Luhmannian social systems theory.

Findings

The CCP's effort to control journalism leads to increased internal complexity in the form of huge bureaucracies that themselves must be overseen in an almost endless proliferation of surveillance.

Research limitations/implications

This paper contributes to theoretical work in post-humanism.

Originality/value

To the authors’ knowledge, no studies have examined the tension between CCP censors and Chinese journalism from a Luhmannian systems theory perspective.

Details

Kybernetes, vol. 46 no. 5
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 10 November 2020

Xiujuan Chen, Zhiqiang Zhang and Jinjing Guo

The purpose of this paper is to provide theoretical basis and data support for researchers to choose appropriate international partners, provide a basis for Chinese research…

363

Abstract

Purpose

The purpose of this paper is to provide theoretical basis and data support for researchers to choose appropriate international partners, provide a basis for Chinese research funding agencies, such as National Natural Science Foundation of China (NSFC) to formulate international research collaboration (IRC) strategies and policies and provide recommendations for the improvement of the internationalization level of China's basic scientific research.

Design/methodology/approach

Based on existing research, this study took output of “Major International (Regional) Joint Research Project” (MIJRP) funded by NSFC and participated by Chinese scholars in the meantime as the analysis object, proposed hypotheses and constructed the indicators of IRC and research output (RO). In addition, the mathematical statistics was used to compare the RO of China's IRC and nonIRC, and the statistical analysis model was used to measure the influence on RO of collaboration country's research capacity, research collaboration between China and US, scope of international research collaboration and reprint author country.

Findings

The RO of China's IRC is higher than that of nonIRC; research capacity of collaboration country has no inevitable effect on the RO of China's IRC; the RO of China's IRC participated by Americans is higher than that without American scholars; expanding the scope of China's IRC to some degree can increase RO; the RO of China's IRC led by foreigners is higher than that led by Chinese. In particular, China–US IRC and foreign scholars acting as the reprint author are two major factors for the RO of China's IRC.

Originality/value

Most of the traditional research on IRC are based on the co-author papers, and this study tried to analyze the characteristics and regularities on IRC from a new view of international collaboration projects, which can be a supplement to the traditional international collaboration research on co-author papers.

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Article
Publication date: 6 January 2025

Zhiqiang Liu and Chenmiao Wang

This study explores whether and how financial agglomeration affects enterprise specialization, and whether it weakens the division effects of logistics accessibility.

19

Abstract

Purpose

This study explores whether and how financial agglomeration affects enterprise specialization, and whether it weakens the division effects of logistics accessibility.

Design/methodology/approach

Using the panel data of A-share listed companies in the Chinese manufacturing industry from 2010 to 2018, the authors test the hypotheses of the research framework by constructing a double fixed effect model.

Findings

First, for every 1% increase in financial agglomeration and logistics accessibility, enterprise specialization will increase by 1.8% and 5.6%. Meanwhile, financial agglomeration weakens the division effects of logistics accessibility. After a multiple robustness test, the above conclusions still hold. Second, the mechanism test shows that financial agglomeration can promote enterprise specialization through cost saving effect, scale expansion effect and technological progress effect. Third, financial agglomeration has a stronger positive impact and negative moderating effect on enterprise specialization in periphery areas and small-scale enterprises, but logistics accessibility is more likely to increase enterprise specialization in core regions and small-scale firms.

Practical implications

In the context of the global value chain (GVC) reshaping caused by the transformation of the international situation, exploring the relationship among financial agglomeration, logistics accessibility and enterprise specialization based on China’s experience can be an important insight for other emerging economies to enhance their position in the GVC.

Originality/value

The above findings enrich the literature on the division of labor among firms and contribute to the further improvement of GVC theory and division theory.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 28 November 2024

Hongkang Liu, Qian Yu, Yongheng Li, Yichao Zhang, Kehui Peng, Zhiqiang Kong and Yatian Zhao

This study aims to get a better understanding of the impact of streamlined high-speed trains (HSTs) with geometric uncertainty on aerodynamic performance, as well as the…

34

Abstract

Purpose

This study aims to get a better understanding of the impact of streamlined high-speed trains (HSTs) with geometric uncertainty on aerodynamic performance, as well as the identification of the key parameters responsible for this impact. To reveal the critical parameters, this study creates a methodology for evaluating the uncertainty and sensitivity of drag coefficient induced by design parameters of HST streamlined shapes.

Design/methodology/approach

Bézier curves are used to parameterize the streamlined shape of HSTs, and there are eight design parameters required to fit the streamlined shape, followed by a series of steady Reynolds-averaged Navier–Stokes simulations. Combining the preparation work with the nonintrusive polynomial chaos method results in a workflow for uncertainty quantification and global sensitivity analysis. Based on this framework, this study quantifies the uncertainty of drag, pressure, surface friction coefficient and wake flow characteristics within the defined ranges of streamline shape parameters, as well as the contribution of each design parameter.

Findings

The results show that the change in drag reaches a maximum deviation of 15.37% from the baseline, and the impact on the tail car is more significant, with a deviation of up to 23.98%. The streamlined shape of the upper surface and the length of the pilot (The device is mounted on the front of a train’s locomotive and primarily serves to remove obstacles from the tracks, thereby preventing potential derailment.) are responsible for the dominant factors of the uncertainty in the drag for HSTs. Linear regression results show a significant quadratic polynomial relationship between the length of the pilot and the drag coefficient. The drag declines as the length of the pilot enlarges. By analyzing the case with the lowest drag, the positive pressure area in the front of pilot is greatly reduced, while the nose tip pressure of the tail is enhanced by altering the vortices in the wake. The counter-rotating vortex pair is significantly attenuated. Accordingly, exerts the impacts caused by geometric uncertainty can be found on the wake flow region, with pressure differences of up to 900 Pa. The parameters associated with the shape of the upper surface contribute significantly to the uncertainty in the core of the wake separation region.

Originality/value

The findings contribute to a better understanding of the impact of streamlined HSTs with geometric uncertainty on aerodynamic performance, as well as the identification of the key parameters responsible for this impact. Based on this study, future research could delve into the detailed design of critical areas in the streamlined shape of HSTs, as well as the direction of shape optimization to more precisely and efficiently reduce train aerodynamic drag under typical conditions.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 1 May 2023

Jinyu Yang, Shanshan Zhang, Zhiqiang Wang and Xiande Zhao

The purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this…

1583

Abstract

Purpose

The purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this relationship in the Chinese household appliance industry. Specifically, this study tests the mediation effect of operational slack on the relationship between supplier concentration and R&D intensity and the moderation effect of financial constraints on this relationship.

Design/methodology/approach

Drawing upon real options theory and resource dependence theory, the proposed relationships are tested with the Chinese household appliance market using financial data from listed companies over a ten-year span from 2012 to 2021. Fixed effects (within-group) panel regression models are used to test the hypotheses. In addition, the authors use the bias-corrected bootstrap method to test the mediation effect.

Findings

The authors find that supplier concentration negatively affects a buyer firm's R&D intensity and that internal operational slack mediates this relationship. Interestingly, financial constraints from the external financing organization weaken the negative relationship between the buyer firm's supplier concentration and R&D intensity.

Originality/value

Based on the argument of real options theory and resource dependence theory, this study provides novel insights into the issue of how concentration on several major suppliers may reduce buyer firms' R&D intensity. First, this study introduces operational slack as a form of internal uncertainty that mediates the supplier concentration–R&D intensity relationship. Second, this study suggests that the effect of supplier concentration on R&D intensity is contingent upon firms' financial constraints from external financial organizations, disclosing a synergetic interactive effect of supplier concentration and financial constraints on firms' R&D activities. Third, this study is conducted in the unique institutional context of China, providing meaningful insights into the relationship between supplier concentration and R&D intensity.

Details

International Journal of Operations & Production Management, vol. 44 no. 1
Type: Research Article
ISSN: 0144-3577

Keywords

Available. Content available
Article
Publication date: 3 September 2021

Shuming Zhao, Mingwei Liu and Meng Xi

717

Abstract

Details

Chinese Management Studies, vol. 15 no. 4
Type: Research Article
ISSN: 1750-614X

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