Yuangao Chen, Yuqing Hu, Shasha Zhou and Shuiqing Yang
Drawing on the technology-organization-environment (TOE) framework, this study aims to investigate determinants of performance of artificial intelligence (AI) adoption in…
Abstract
Purpose
Drawing on the technology-organization-environment (TOE) framework, this study aims to investigate determinants of performance of artificial intelligence (AI) adoption in hospitality industry during COVID-19 and identifies the relative importance of each determinant.
Design/methodology/approach
A two-stage approach that integrates partial least squares structural equation modeling (PLS-SEM) with artificial neural network (ANN) is used to analyze survey data from 290 managers in the hospitality industry.
Findings
The empirical results reveal that perceived AI risk, management support, innovativeness, competitive pressure and regulatory support significantly influence the performance of AI adoption. Additionally, the ANN results show that competitive pressure and management support are two of the strongest determinants.
Practical implications
This research offers guidelines for hospitality managers to enhance the performance of AI adoption and presents policy-making insights to promote and support organizations to benefit from the adoption of AI technology.
Originality/value
This study conceptualizes the performance of AI adoption from both process and firm levels and examines its determinants based on the TOE framework. By adopting an innovative approach combining PLS-SEM and ANN, the authors not only identify the essential performance determinants of AI adoption but also determine their relative importance.
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Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao and Yuqing Lin
Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this…
Abstract
Purpose
Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones).
Design/methodology/approach
The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling.
Findings
By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective.
Practical implications
This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification.
Originality/value
Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.
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Di Cheng, Yuqing Wen, Zhiqiang Guo, Xiaoyi Hu, Pengsong Wang and Zhikun Song
This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).
Abstract
Purpose
This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).
Design/methodology/approach
Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.
Findings
The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.
Originality/value
Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.
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Yanting Huang, Sijia Liu and Yuqing Liang
This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to…
Abstract
Purpose
This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to investigate the impact of each policy on members, consumers, and the environment with fairness concerns.
Design/methodology/approach
Considering government policies and fairness concerns in recycling management, this paper develops five recycling and remanufacturing decision models (anarchy policy model, reward-penalty mechanism model, recycling investment subsidies model, government tax model, and fund subsidy system model). In each model, the manufacturer and the online platform form the Stackelberg game. This research further discusses comprehensive environmental benefits and consumer surplus under five scenarios.
Findings
First, the fairness concerns of the online platform inhibit the recovery rate and supply chain members' profit while increasing the platform's utility. Second, fairness concerns increase the profit gap between the manufacturer and online platform, and the higher the degree of fairness concerns, the greater the profit gap; however, the four policies reduce the profit gap. Finally, when there are fairness concerns, environmental taxes damage the interests of supply chain members and consumers, but are most beneficial to the environment; recycling investment subsidies are on the contrary; the fund subsidy system depends on the relative size of the treatment fund and the subsidy fund.
Originality/value
This paper provides useful insights on how to regulate government policy to improve supply chain management with fairness concerns.
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Keywords
Peng Nai, Yuqing Luo and Guang Yang
This study aims to propose a set of institutional frameworks, as well as practical polices and steps, with a view to facilitating the establishment of a unified carbon trading…
Abstract
Purpose
This study aims to propose a set of institutional frameworks, as well as practical polices and steps, with a view to facilitating the establishment of a unified carbon trading market in China.
Design/methodology/approach
Based on existing empirical studies and reviews of the socioeconomic contexts, this study followed a qualitative approach consisting of secondary data collection and analysis, semi-structured interviews to collect primary data and comparative analysis.
Findings
The establishment of a national carbon trading market in China is a systemic and complex process which requires coordination among various concerned government agencies and supporting mechanisms. Currently, the development of a unified national carbon market has been impeded by the lack of coordination among local pilot programs, and there is no specific law passed by the People’s Congress or by its Standing Committee to regulate the emerging carbon trading market. It is of vital importance for China, in terms of both practical and strategic aspects, to take a gradualist approach in establishing laws and institutions to guide and support the development of its emerging carbon market.
Research limitations/implications
This present study forms a part of a regional research project aiming to identify sound policy approaches for the establishment of a carbon trading market in China. Due to scope reasons, it focuses only on policy analysis and recommendations.
Originality/value
China’s emerging national carbon trading market has attracted much research attention. However, little has been done from the perspectives of legislations and policies.
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Yuqing Liu, Chunxiao Li, Scott McCabe and Hong Xu
By adopting retrospective evaluation theories, this study aims to explain how innovations provided by separate suppliers in the tourism value chain influence tourist’s perceived…
Abstract
Purpose
By adopting retrospective evaluation theories, this study aims to explain how innovations provided by separate suppliers in the tourism value chain influence tourist’s perceived value of the overall experience and further uncover which innovative product attributes are more effective in improving tourist perceptions of the overall value.
Design/methodology/approach
A survey yielded 584 valid responses from tourists who had experienced specific tourist product innovations during their travels. Structural equation modelling was used to test the proposed theoretical model.
Findings
The results reveal that tourists evaluate overall travelling experience value either by recalling an intense, impressive moment (i.e. a heuristic approach) or through an evaluation of the overall utility gained from the whole trip (i.e. a normative approach). Furthermore, innovations that are perceived as increasing convenience and enabling learning contribute to tourists’ overall value perception through both normative and heuristic approaches, while immersion resulting from innovation only contributes to overall perceived value through the heuristic approach.
Practical implications
Given the complex service ecosystem of tourism destinations, each tourism service provider should consider how innovations contribute to the experience of the whole trip and which attributes of innovations increase tourists’ overall perceived experience value.
Originality/value
This study complements existing knowledge by revealing the relationship between product innovation in tourism sectors and tourists’ perceived value of the whole trip. Moreover, it offers a theoretical framework for further investigation into service product innovation in hospitality and tourism industry.
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Junying Liu, Yuqing Wang and Zhixiu Wang
This research aims to build a three-tiered driver system that entices contractor rule violations and explores the importance and the relationships among these drivers, hence…
Abstract
Purpose
This research aims to build a three-tiered driver system that entices contractor rule violations and explores the importance and the relationships among these drivers, hence providing theoretical support for the contractor rule violations governance.
Design/methodology/approach
A literature review based on fraud diamond theory identified drivers from Pressure, Opportunity, Rationalization and Capability that drive contractor rule violations. In the Chinese context, through feedback, discussion and analysis of semistructured interviews with ten experts, an improved three-tiered driver system was drafted. Based on this system, a survey was conducted and scored with experts to provide the data for this research. The decision-making trial and evaluation laboratory (DEMATEL) method was used to determine relationships and influences between factors, and the DEMATEL-based analytic network process method was used to weigh these factors.
Findings
This paper systematically studied the drivers of contractor rule violations, specifically, the results showed that pressure had an important driving effect across the driver system, and those five factors – poor cultural atmosphere, weak internal control, prior experience, moral disengagement and information asymmetry – had the most influence on contractor rule violations. The results also indicated the strong effect pressure has on enticing rule violations and revealed that culture atmosphere and internal company governance played crucial roles in the occurrence of rule violations.
Practical implications
This study provided construction practitioners with a robust tool to analyze the drivers of contractor rule violations. The rule violation drivers in the construction practice scenes identified in this study can provide more direct and effective violation-related guidance for contractors, regulators and the industry.
Originality/value
Based on the new perspective of fraud diamond, this paper systematically bulit a three-tiered driver system combining theory with practice. This study contributed to understand the driver mechanism of contractor rule violations especially the importance of internal factors of contractors, which provided theory reference for compliance governance of construction industry.
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Feng Gao, Yuqing Sun, Zhicheng Li and Manyi Wang
Integrating self-determination theory with work-family boundary theory, this study delves into the mechanism (i.e. workplace anxiety) and boundary (i.e. intrinsic motivation) by…
Abstract
Purpose
Integrating self-determination theory with work-family boundary theory, this study delves into the mechanism (i.e. workplace anxiety) and boundary (i.e. intrinsic motivation) by which family motivation can inadvertently escalate work interference with family.
Design/methodology/approach
We conducted two three-wave field survey studies of 468 employees and 298 employees in China to test the theoretical model.
Findings
When intrinsic motivation is weak, employees with high family motivation feel anxious at work and thus experience more work interference with family.
Practical implications
The motivation to support one’s family through work increases the possibility of workplace anxiety and work interference with family. To alleviate this impact, cultivating intrinsic motivation is important. Thus, we encourage employees to be compassionate toward their internal feelings and needs while performing their jobs. Moreover, organizations are encouraged to improve employees’ intrinsic motivation by implementing practices that support their basic psychological needs.
Originality/value
This study casts new light on the potential adverse effects that family motivation may have on the work-family interface, challenging the prevalent belief that working for the family invariably improves the work-family interface. Moreover, it provides a new lens to understand how valuing the family inadvertently increases work interference with family.
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Wenhao Luo, Yuqing Sun, Feng Gao and Yonghong Liu
The purpose of this paper is to examine the effect of employees' self-efficacy on employees' organizational identification. Based on a self-verification perspective, this paper…
Abstract
Purpose
The purpose of this paper is to examine the effect of employees' self-efficacy on employees' organizational identification. Based on a self-verification perspective, this paper focuses on the mediating role of leader–member exchange social comparison (LMXSC) and the moderating role of perceived organizational justice.
Design/methodology/approach
The authors conducted a field survey (Study 1) of 207 employees recruited from multiple financial organizations and tested a moderated mediation model using Hayes's (2018) PROCESS macro. The authors conducted another scenario-based experiment (Study 2) using a sample of 151 employees recruited online to further establish causality in our model.
Findings
Results suggest that employees' self-efficacy is positively associated with their LMXSC, which, in turn, positively impacts employees' organizational identification. The positive relationship between LMXSC and organizational identification is stronger when employees' perceived organizational justice is higher. The indirect effect of self-efficacy on organizational identification through LMXSC is also strengthened by perceived organizational justice.
Practical implications
Managers are encouraged to develop employees' self-efficacy and to create a fair environment to promote employees' identification with the organization.
Originality/value
This research extends organizational identification literature by examining how and when employees' self-efficacy, a dispositional predictor, leads to employees' identification with the organization from a self-verification perspective.
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Jing Zhou, Yuqing Gao, Xiaoyan Huang and Youtong Fang
Consider the mutual coupling between loads, the purpose of this paper is to study the total transmission efficiency based on different load coil positions relative to the charging…
Abstract
Purpose
Consider the mutual coupling between loads, the purpose of this paper is to study the total transmission efficiency based on different load coil positions relative to the charging platform, to provide the theoretical basis for the design and parameter optimization of one-to-multiple wireless charging platform.
Design/methodology/approach
Based on the dual-load series-resonant wireless power transfer system, the expression of system efficiency and its calculation model is achieved using the equivalent circuit theory. Finally, a 96 kHz magnetic resonance wireless power transmission test platform is built up to verify the theoretical analysis given in this paper.
Findings
For the completely resonant circuit, the transmission efficiency can be improved by increasing the transmitter-receiver coupling and reducing the coupling between receivers. The total transmission efficiency achieves its lowest value when two loads are with equal competitive capability.
Originality/value
Through the simulation analysis of efficiency formula, the selection principle of impact factors can be applied to the optimization analysis of the transmission efficiency.