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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Yuqing Xie, Lin Li and Shuaibing Wang
To reduce the computational scale for quasi-magnetostatic problems, model order reduction is a good option. Reduced-order modelling techniques based on proper orthogonal…
Abstract
Purpose
To reduce the computational scale for quasi-magnetostatic problems, model order reduction is a good option. Reduced-order modelling techniques based on proper orthogonal decomposition (POD) and centroidal Voronoi tessellation (CVT) have been used to solve many engineering problems. The purpose of this paper is to investigate the computational principle, accuracy and efficiency of the POD-based and the CVT-based reduced-order method when dealing with quasi-magnetostatic problems.
Design/methodology/approach
The paper investigates computational features of the reduced-order method based on POD and CVT methods for quasi-magnetostatic problems. Firstly the construction method for the POD and the CVT reduced-order basis is introduced. Then, a reduced model is constructed using high-fidelity finite element solutions and a Galerkin projection. Finally, the transient quasi-magnetostatic problem of the TEAM 21a model is studied with the proposed reduced-order method.
Findings
For the TEAM 21a model, the numerical results show that both POD-based and CVT-based reduced-order approaches can greatly reduce the computational time compared with the full-order finite element method. And the results obtained from both reduced-order models are in good agreement with the results obtained from the full-order model, while the computational accuracy of the POD-based reduced-order model is a little higher than the CVT-based reduced-order model.
Originality/value
The CVT method is introduced to construct the reduced-order model for a quasi-magnetostatic problem. The computational accuracy and efficiency of the presented approaches are compared.
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Yi-Hsin Lin, Zixuan Huang and Yuqing Gao
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Abstract
Purpose
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Design/methodology/approach
In-depth interviews and a cross-sectional questionnaire survey were conducted to collect primary data within international projects. Hierarchical regression analysis was used to test the hypotheses based on data collected from 62 respondents.
Findings
The results reveal that both market and hierarchy cultures affect international project performance positively. Additionally, communication, cooperation and trust help enhance project performance; however, commitment is not. This study also proves the mediating role of relational capital between organizational culture and project performance.
Research limitations/implications
This study selected only two types of organizational culture represented by Chinese construction enterprises. Future studies can explore the mediating role of relational capital between other varieties of organizational culture and project performance.
Originality/value
Given the high complexity and risks faced by projects abroad, both organizational culture, the internal environmental factor and relational capital being the external resource, are crucial for project success. This study clarifies the relationship between organizational culture, relational capital and project performance overseas. Empirical evidence to enhance international project performance for construction enterprises is provided. This study also makes contributions to international contractors who want to implement projects in developing countries.
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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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Xiaoyu Yu, Sanjit Kumar Roy, Ali Quazi, Bang Nguyen and Yuqing Han
For entrepreneurs operating in an Internet-of-Things (IoT) environment, it is essential to monitor more systematically, both the interaction with the consumers and the sharing of…
Abstract
Purpose
For entrepreneurs operating in an Internet-of-Things (IoT) environment, it is essential to monitor more systematically, both the interaction with the consumers and the sharing of information among the consumers. The purpose of this paper is to identify the antecedents of word-of-mouth (WOM) in the online SME’s context in terms of consumers “citing the site” to peers in personal communications. A research model integrates the determinants of retail website-specific positive WOM communication, and proposes that WOM about a particular website is influenced by: site-level variables, that is, website quality and interactivity; and consumer-level variables, these being the site user’s satisfaction with and commitment to the website. The research advances the study of IoT entrepreneurship.
Design/methodology/approach
Data were collected from graduate and undergraduate students with business and entrepreneurship majors from a reputed school in the Northeast region of the USA, using an online survey. The hypotheses were then tested with SEM using AMOS 18.0.
Findings
Findings suggest that in an IoT context, WOM is influenced by a variety of factors of which the e-satisfaction and attitude toward website constructs play important roles. The study highlights the importance of the e-satisfaction construct and its metrics. E-satisfaction is not only a critical outcome metric, but also a primary predictor of customer e-loyalty, measured in terms of the customer’s positive attitude, stickiness and propensity to spread positive WOM.
Originality/value
The paper contributes to the entrepreneurship and IoT literature with a comprehensive framework of information sharing, interactivity and WOM, showing that specific antecedents drive consumers to cite and advocate for a website to fellow customers. The framework helps retail SME entrepreneurs in the IoT context to design appropriate strategies to influence website visitors’ endorsement of the site to fellow customers.
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Neng Shen, Yuqing Zhao and Rumeng Deng
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research…
Abstract
Purpose
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.
Design/methodology/approach
Uses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.
Findings
Research on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”
Originality/value
Reveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.
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Shaojie Han, Yibo Lyu, Ruonan Ji, Yuqing Zhu, Jingqin Su and Lining Bao
This study aims at developing a better understanding of the relationship between network embeddedness and incremental innovation capability and further examines the moderating…
Abstract
Purpose
This study aims at developing a better understanding of the relationship between network embeddedness and incremental innovation capability and further examines the moderating effect of open innovation.
Design/methodology/approach
This paper adopts hierarchical regressions to validate the theoretical model and collect the patent data of the top 54 firm patentees in the smartphone industry as empirical sample. Using patent citation network data, this paper estimates the relationship between open innovation, network embeddedness and incremental innovation capability.
Findings
This paper empirically shows that structural embeddedness exerts a negative effect on incremental innovation capability, while relational embeddedness is positively related to incremental innovation capability. And open innovation strengthens the relationship between network embeddedness and incremental innovation capability.
Originality/value
This paper shifts the focus of the determinants of incremental innovation capability from internal factors to the external network features by exploring the linkage between network embeddedness and incremental innovation capability. A counterintuitive conclusion is that structural embeddedness shows a negative effect on firm's incremental innovation capability. Furthermore, in contrast to most previous studies, which only focus on the direct effect of open innovation on the firm's incremental innovation capability, our study examines the moderating effect of open innovation on the relationships between network embeddedness and incremental innovation capability. At last, the results provide practical guidance for firms to occupy the beneficial network positions and adopt appropriate open innovation strategies to improve their incremental innovation capability.
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Building social capital between groups of people and developing social enterprises that integrate social goals into commercial business models are rapidly adopted as innovative…
Abstract
Building social capital between groups of people and developing social enterprises that integrate social goals into commercial business models are rapidly adopted as innovative poverty relief mechanisms across countries. Together, the translation of social relationships into increased accessibility to resources, and the entrepreneurial dynamics resulting in additional services and goods, are thought to meet the survival and developmental needs of poor families and communities. However, the socio-economic contexts, in which new public policies and initiatives have been taken, vary from country to country. In China, its strong Confucian culture, state-led development strategy, weak civil society, and hierarchical social relationships have contributed to a value structure of social capital, but decreased the efficiency of business practice in social enterprise. This chapter presents a case study of Rural Cooperative Program, a poverty relief initiative in China’s southwest Guizhou Province. With the introduction of China’s new policies in welfare and rural development, this chapter presents evaluation results of whether social enterprises and entrepreneurship can improve poor villagers’ socio-economic wellbeing and promote sustainable development of poor rural villages in China, and to what extent social capital has been mobilized to facilitate the Rural Cooperative Program.
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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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Yuqing Zhao, Xi Zhang, Jingyi Wang, Kaihua Zhang and Patricia Ordóñez de Pablos
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Abstract
Purpose
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Design/methodology/approach
An experiment is designed to stimulate the knowledge work in a famous Chinese business college and 156 valid samples were obtained. AMOS was used in this paper to examine the theoretical model.
Findings
There is a correlation among features of social media, ambient awareness and knowledge sharing. Surprisingly, network translucence, which indicates individuals’ meta-knowledge of others’ connections, has no influence on knowledge sharing. Although this is inconsistent with conjecture of the existing literature, it can be well explained by the phenomenon in real life, such as privacy setting in social media.
Practical implications
For employees who use social media to promote knowledge sharing within organizations, this study reminds them of the importance of ambient awareness. For managers, this study can give them some suggestions to make employees take full advantage of social media to achieve optimal benefits of knowledge sharing, thus improving organizational performance and innovation. For social media designers, they can make social media more useful in knowledge work by improving its specific features.
Originality/value
This paper proposes that ambient awareness is the mediator of the effect path between communication and knowledge sharing. And the status perception of coworkers’ exchanging information is closely related to knowledge sharing.