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Article
Publication date: 10 April 2023

Xian Huang, Yijiao Ye, Zhao Wang, Xinyu Liu and Yijing Lyu

Drawing on organizational justice theory, this study aims to investigate how perceived organizational exploitation induces frontline hospitality employees’ organizational and…

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Abstract

Purpose

Drawing on organizational justice theory, this study aims to investigate how perceived organizational exploitation induces frontline hospitality employees’ organizational and interpersonal deviance. Specifically, this study explored the mediating effect of distributive and procedural justice, as well as the moderating effect of justice sensitivity.

Design/methodology/approach

The focal research analyzed multiphase survey data from 267 frontline service employees with structural equation modeling.

Findings

The results revealed that perceived organizational exploitation induced frontline hospitality employees’ organizational and interpersonal deviance through their perceptions of distributive and procedural justice. Moreover, employees’ justice sensitivity amplified perceived organizational exploitation’s harmful impact on justice perceptions and its conditional influence on organizational and interpersonal deviance.

Practical implications

Organizations should take actions to reduce the occurrence of exploitation to prevent employees’ workplace deviance behaviors. Moreover, organizations can foster employees’ justice perceptions and take care of employees with strong justice sensitivity to reduce the destructive behaviors triggered by organizational exploitation.

Originality/value

By investigating frontline employees’ workplace deviant behaviors, this research identifies new outcomes of exploitation by hospitality organizations. Moreover, the research contributes by offering a justice-based perspective to understand the effects of perceived organizational exploitation. Furthermore, this research helps identify a new boundary condition of being exploited by organizations.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 12
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 12 December 2023

Jian Zhou, Shuyu Liu, Jian Lu and Xinyu Liu

The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s…

70

Abstract

Purpose

The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s method and to solve the problem of low model prediction accuracy caused by low-frequency domain curve fitting in the small unmanned helicopter frequency domain parameter identification method.

Design/methodology/approach

This method uses the Levy method to obtain the initial parameters of the fitting model, uses the global optimization characteristics of the adaptive ant colony algorithm and the advantages of avoiding the “premature” phenomenon to optimize the initial parameters and finally obtains a small unmanned helicopter through computational optimization Kinetic models under lateral channel and longitudinal channel.

Findings

The algorithm is verified by flight test data. The verification results show that the established dynamic model has high identification accuracy and can accurately reflect the dynamic characteristics of small unmanned helicopter flight.

Originality/value

This paper presents a novel and improved frequency domain identification method for small unmanned helicopters. Compared with the conventional method, this method improves the identification accuracy and reduces the identification error.

Details

Aircraft Engineering and Aerospace Technology, vol. 96 no. 1
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 15 February 2024

Xinyu Liu, Kun Ma, Ke Ji, Zhenxiang Chen and Bo Yang

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for…

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Abstract

Purpose

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for propaganda detection primarily focus on capturing language features within its content. However, these methods tend to overlook the information presented within the external news environment from which propaganda news originated and spread. This news environment reflects recent mainstream media opinions and public attention and contains language characteristics of non-propaganda news. Therefore, the authors have proposed a graph-based multi-information integration network with an external news environment (abbreviated as G-MINE) for propaganda detection.

Design/methodology/approach

G-MINE is proposed to comprise four parts: textual information extraction module, external news environment perception module, multi-information integration module and classifier. Specifically, the external news environment perception module and multi-information integration module extract and integrate the popularity and novelty into the textual information and capture the high-order complementary information between them.

Findings

G-MINE achieves state-of-the-art performance on both the TSHP-17, Qprop and the PTC data sets, with an accuracy of 98.24%, 90.59% and 97.44%, respectively.

Originality/value

An external news environment perception module is proposed to capture the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information.

Details

International Journal of Web Information Systems, vol. 20 no. 2
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 22 December 2023

Ting Xu and Xinyu Liu

Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie…

1008

Abstract

Purpose

Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.

Design/methodology/approach

By conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.

Findings

The findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.

Research limitations/implications

These findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.

Practical implications

The results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.

Originality/value

This is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Available. Open Access. Open Access
Article
Publication date: 14 May 2019

Yuqiang Wang, Yuguang Wei, Hua Shi, Xinyu Liu, Liyuan Feng and Pan Shang

The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway.

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Abstract

Purpose

The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway.

Design/methodology/approach

A 0-1 nonlinear integer programming model with the aim of minimizing the idling period between actual train arrival time and expected train arrival time for all loaded unit trains are proposed.

Findings

The proposed model is applied into a case study based on Daqin heavy haul railway. Results show that the proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway.

Originality/value

The proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway.

Details

Smart and Resilient Transportation, vol. 1 no. 1
Type: Research Article
ISSN: 2632-0487

Keywords

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Article
Publication date: 1 January 2025

Su Chen, Xinyu Tan, Wenbin Shen, Rongzhi Liu and Yangui Chen

This paper examines the pre-factors of college students’ entrepreneurial behaviors and how their background characteristics affect corporate financial performance in high-tech…

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Abstract

Purpose

This paper examines the pre-factors of college students’ entrepreneurial behaviors and how their background characteristics affect corporate financial performance in high-tech businesses.

Design/methodology/approach

About 67 high-tech businesses in China focusing on technical innovation from the Guotai’an database are selected to carry out empirical analysis.

Findings

It is observed that the age, educational and professional backgrounds of college entrepreneurs profoundly influence their ventures geared toward high-tech innovation. Moreover, the transformation abilities, managerial proficiency and growth capabilities, which characterize these ventures, notably affect business performance. They further serve as a moderator in the relationship between the entrepreneurial backgrounds of college students and the overall business performance of their enterprises.

Originality/value

It insinuates novel strategic avenues for collegiate entrepreneurs’ entrepreneurial mindset and industrial positioning. Moreover, our findings will not only augment the practical research in the realm of collegiate entrepreneurship but also enhance the study of technological innovation theories, thereby offering further insight and guidance for collegiate entrepreneurs’ innovative endeavors and entrepreneurial pursuits.

Details

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

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Article
Publication date: 18 January 2013

Qin Ge, Xinyu Liu, Xiaojuan Chen, Weijun Luo and Guoguo Liu

The purpose of this paper is to report upon high power, internally matched GaN high electron mobility transistors (HEMTs) at Ku band with 1.5 GHz bandwidth, which employ a simple…

152

Abstract

Purpose

The purpose of this paper is to report upon high power, internally matched GaN high electron mobility transistors (HEMTs) at Ku band with 1.5 GHz bandwidth, which employ a simple and cost‐effective lossless compensated matching technique.

Design/methodology/approach

Two 4 mm gate periphery GaN HEMTs are parallel combined and internally matched with multi‐section reactive impedance transformers at the input and output networks. The output matching network is designed at the upper frequency of the design band for a flat power of the circuit, while the input matching network is designed at the upper frequency for a flat gain.

Findings

With the reactively compensated matching technique, the internally matched GaN HEMTs exhibit a flat saturated output power of 43.2+0.7 dBm and an average power added efficiency of 15 per cent over 12 to 13.5 GHz.

Originality/value

This paper provides useful information for the internally matched GaN HEMTs.

Details

Microelectronics International, vol. 30 no. 1
Type: Research Article
ISSN: 1356-5362

Keywords

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Article
Publication date: 1 June 2015

Yongji Xue and Xinyu Liu

The purposes of this paper are to explore how the cluster entrepreneurship of peasant households in the Chinese forest zone develops, and to analyze how the influence of kinship…

650

Abstract

Purpose

The purposes of this paper are to explore how the cluster entrepreneurship of peasant households in the Chinese forest zone develops, and to analyze how the influence of kinship and geopolitical relations can effectively construct a mechanism for the growth of cluster entrepreneurship.

Design/methodology/approach

The case study method was chosen to analyze the growth process of this cluster entrepreneurship (e.g. raising chickens in Zhenghe, planting tea in Anxi and cultivating fruit in Taizhou).

Findings

The authors found that the trust, learning and driving mechanisms of cluster entrepreneurship were influenced by kinship and geopolitical relationships, and were included in the building of the growth mechanism of such cluster entrepreneurship, as has emerged. Further, in the building of this evolution mechanism, three paths of growth were found: financial support, the introduction of technology and the introduction of management.

Originality/value

This paper enriches the understanding of how cluster entrepreneurship develops in the socioeconomic environment of the Chinese forest zone, with particular reference to kinship and geopolitical relations, and how these contribute to the growth mechanism of cluster entrepreneurship, which is important for the management of entrepreneurial activities in that habitat.

Details

Chinese Management Studies, vol. 9 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

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Article
Publication date: 5 April 2024

Mutairu Oyewale Akintunde and Halimah Odunayo Amuda

This study aimed to predict and understand the academic libraries' probability of successful adoption of blockchain within the lens of integrated technology acceptance model (TAM…

169

Abstract

Purpose

This study aimed to predict and understand the academic libraries' probability of successful adoption of blockchain within the lens of integrated technology acceptance model (TAM) and technology organization and environment theory (TOE) framework.

Design/methodology/approach

A mixed approach was employed to gather data from librarians (292) and system analysts (46) totaling 338 respondents. The total enumeration sampling technique was considered. Qualitative data were analyzed thematically, while quantitative data were analyzed using structural equation model (SEM).

Findings

Perceived usefulness and policy are the important factors that influence academic libraries' blockchain adoption intentions. Unlimited access to both print and electronic resources, security of users' information and easy collaboration between users and library staff were found to be the benefits of blockchain application to academic libraries' operations. Major challenges to the adoption of blockchain in academic libraries include the cost of infrastructure related to blockchain applications, privacy issues and a lack of understanding of blockchain technology among librarians.

Research limitations/implications

Future studies would need to include more relevant items to the observed variables of the independent variables that were found insignificant in this study.

Practical implications

The findings of this study will create a roadmap for government and polytechnic management on the factors that could strengthen the adoption of blockchain in the libraries.

Social implications

The outcome of this study came at a crucial moment when the majority of academic libraries in developing nations like Nigeria were skeptical about the deployment of blockchain technology in their libraries.

Originality/value

The study identified new factors that influence blockchain adoption intention.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 16 April 2024

Xiaobo Shi, Yaning Qiao, Xinyu Zhao, Yan Liu, Chenchen Liu, Ruopeng Huang and Yuanlong Cui

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or…

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Abstract

Purpose

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

Design/methodology/approach

This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Findings

Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

Originality/value

The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

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