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