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1 – 10 of 14Yiwei Wang, Run Liu, Ruohan Sun and Zewei Xu
The paper aims to find the correlation between the microparameters and the macroparameters of the soil. The study aims to calibrate the macroscale and microscale parameters of…
Abstract
Purpose
The paper aims to find the correlation between the microparameters and the macroparameters of the soil. The study aims to calibrate the macroscale and microscale parameters of rolling resistance contact models to successfully apply the discrete element method to do some research of the geotechnical problem.
Design/methodology/approach
The paper opted for an exploratory study using the PFC3D to simulate the triaxial tests that include more than 50 cases and the coupling analysis method, which considering several effect of various factors.
Findings
The paper provides a quantitative relationship between the macroparameters and microparameters of the rolling resistance linear model and a method for fast calibration of macroscopic parameters is proposed and verified by a triaxial test example.
Originality/value
This paper provides the quantitative relationship of micro and macroparameters in the rolling resistance linear model by studying a single factor and considering the coupling effect of various factors and a fast method for the calibration of microparameters based on the rolling resistance linear model is proposed.
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Yiwei Zhao, Yindong Sun, Qianqian Zhou, Caiyun Cui and Yong Liu
The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among…
Abstract
Purpose
The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among Architecture/Engineering/Construction (A/E/C) professionals with different individual characteristics. The proposed acceptance mechanism of BIM technology is intended to be used by industry stakeholders to propose decisions and measures, and improve the degree of BIM adoption.
Design/methodology/approach
Traditional hypothesis testing is adopted by the current study to empirically research the specific mechanism of A/E/C professionals accepting BIM technologies. In the one phase, a conceptual model based on technology acceptance model (TAM) and technology organization environment (TOE) theory was established and a large-scale questionnaire survey was conducted. In the other phase, structural equation modeling (SEM) was used to analyze acquired sample data, so as to empirically test the validity of the proposed linkage.
Findings
The results show first that perceived ease of use has no significant influence on perceived usefulness, and perceived usefulness has no significant effect on behavior intention as well. Second, BIM technical features and government BIM policies have positive effects on perceived usefulness, BIM technical features and organization supports have positive effects on perceived ease of use. Third, the BIM acceptance mechanism of A/E/C professionals is diverse from respondents with different characteristics, e.g. regions and working time.
Originality/value
The authors highlight the large sample size, as well as the nationwide context, of the questionnaire survey. Meanwhile, acceptance differences among A/E/C professionals with different demographic characteristics have been clarified using profound data and t-test. The findings of this study enrich the research on the acceptance mechanism of BIM technology, and contribute to relevant stakeholders taking targeted measures to promote the effective application of BIM technology nationwide.
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Kirsten Cowan, Teea Palo, Duncan Chapple and Yiwei Zhang
The purpose of this study is to address these questions. Word-of-mouth (WOM) is increasingly important in business-to-business (B2B) decision-making. Yet, research on this topic…
Abstract
Purpose
The purpose of this study is to address these questions. Word-of-mouth (WOM) is increasingly important in business-to-business (B2B) decision-making. Yet, research on this topic is rather limited, and often borrows from business-to-consumer (B2C) WOM literature. The question remains as to whether these assumptions realistically occur in B2B WOM. Specifically, this study explores the following questions: What value does B2B WOM have? Why do social media influencers in B2B engage in WOM? What type(s) of social media influencers spread WOM in B2B?
Design/methodology/approach
To address these questions, this study adopts a qualitative research strategy. This study focuses on industry analysts in information technology markets who often influence the buying decisions of customers through their expertise and recommendations of technology solutions. Based on interviews with these influencers, this study explicates B2B WOM, an area the authors know much less of in comparison to B2C WOM.
Findings
This study reveals differences in who spreads WOM within B2B, their roles, key features of their content and how they spread WOM. Second, this study demonstrates the types of actors spreading WOM in B2B in relation to the type of WOM and how it actually influences B2B markets.
Originality/value
This study broadens the current definition of WOM and, specifically, showcases WOM not only as amplifying messages but as a means to co-create the market itself with vendors and clients. This research offers several contributions to the B2B WOM literature and influencer practice.
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Yiwei Zhang, Daochun Li, Zi Kan, Zhuoer Yao and Jinwu Xiang
This paper aims to propose a novel control scheme and offer a control parameter optimizer to achieve better automatic carrier landing. Carrier landing is a challenging work…
Abstract
Purpose
This paper aims to propose a novel control scheme and offer a control parameter optimizer to achieve better automatic carrier landing. Carrier landing is a challenging work because of the severe sea conditions, high demand for accuracy and non-linearity and maneuvering coupling of the aircraft. Consequently, the automatic carrier landing system raises the need for a control scheme that combines high robustness, rapidity and accuracy. In addition, to exploit the capability of the proposed control scheme and alleviate the difficulty of manual parameter tuning, a control parameter optimizer is constructed.
Design/methodology/approach
A novel reference model is constructed by considering the desired state and the actual state as constrained generalized relative motion, which works as a virtual terminal spring-damper system. An improved particle swarm optimization algorithm with dynamic boundary adjustment and Pareto set analysis is introduced to optimize the control parameters.
Findings
The control parameter optimizer makes it efficient and effective to obtain well-tuned control parameters. Furthermore, the proposed control scheme with the optimized parameters can achieve safe carrier landings under various severe sea conditions.
Originality/value
The proposed control scheme shows stronger robustness, accuracy and rapidity than sliding-mode control and Proportion-integration-differentiation (PID). Also, the small number and efficiency of control parameters make this paper realize the first simultaneous optimization of all control parameters in the field of flight control.
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Osama Atayah, Hazem Marashdeh and Allam Hamdan
This study aims to examines both accrual and real-based earnings management (EM) behavior of listed corporations in tax-free countries during different economic situations. It…
Abstract
Purpose
This study aims to examines both accrual and real-based earnings management (EM) behavior of listed corporations in tax-free countries during different economic situations. It also addresses the link between firm- and country-level determinants of accrual and real-based EM and explores economic conditions' influence on these determinants.
Design/methodology/approach
The study examines 1,608 firm-years, covers sixteen years (2004–2019), clustered into three periods according to the global financial crisis (GFC): four years prior (2004–2007), two years during (2008–2009), and ten years post the GFC (2010–2019). We employ the modified Jones model (performance-matched) developed by Kothari et al. (2005) to measure the accrual-based EM (positive and negative discretionary accrual EM) and the three levels model for Dechow et al. (1998) to measure the real-based EM (cash flow from operating, discretionary expenses and abnormal production cost).
Findings
The study finds a significant increase in EM practices in the listed corporations in tax-free countries during the economic downturn. These corporations are found to understate their earnings during the economic stress period. Simultaneously, the firm-level determinants of EM practices were at the same level of significance during different economic conditions in accrual-based EM. In contrast, the country-level EM determinants vary based on the economic conditions.
Originality/value
Financial reports' users gain a deep understanding of the quality of financial reports in the context of tax-free country. And, the study outcomes inspire policymakers to develop relevant legislation to mitigate financial reports' risk and adequately protect the financial reports' users.
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Osama F. Atayah, Khakan Najaf, Md Hakim Ali and Hazem Marashdeh
The purpose of this paper is to provide empirical evidence on the suitability of a Bloomberg Environmental (E), Social (S) and Governance (G) (ESG) disclosure index designed for…
Abstract
Purpose
The purpose of this paper is to provide empirical evidence on the suitability of a Bloomberg Environmental (E), Social (S) and Governance (G) (ESG) disclosure index designed for companies from the USA and to investigate the sustainability quality and stock performance of FinTech companies.
Design/methodology/approach
Data from all FinTech and non-FinTech firms in the USA was acquired from Bloomberg to undertake the study and evaluate the suggested hypotheses efficiently. The final sample consists of 1,672 company-year observations from 2010 to 2019. The methodology used ordinary least squares regressions of performance metrics on the Bloomberg ESG disclosure index and its components.
Findings
The findings indicated that the Bloomberg ESG disclosure index is a valid proxy for sustainability and has a direct relationship with stock performance. Furthermore, this study suggests that non-FinTech firms outperform FinTech firms in sustainability and stock performance. The findings support stakeholder theory, which suggests that increased disclosure of ESG information will mitigate the agency problem and protect shareholders’ interests.
Research limitations/implications
This study’s findings were significant because the findings emphasised ESG disclosure in FinTech and non-FinTech firms, providing information to academics, legislators, regulators, financial report users, investors, environmental unions, workers, customers and society.
Originality/value
This research is unique as it evaluates ESG practices in both FinTech and non-FinTech firms.
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Alice Chin, Ooi Chin Lye and Khakan Najaf
One of the significant components of a firm's overall sustainability is establishing and nurturing governance. This study attempts to understand how politically connected firms…
Abstract
Purpose
One of the significant components of a firm's overall sustainability is establishing and nurturing governance. This study attempts to understand how politically connected firms maintain sustainability measures in terms of risk-taking strategies. This paper has two purposes. The first purpose is to provide empirical evidence on the politically connected (PC) firms' corporate risk-taking and performance. The second purpose is to investigate the moderating impact of PC firms' risk on corporate performance.
Design/methodology/approach
To conduct the analysis to test our hypothesis efficiently, data has been collected from Bloomberg and annual reports of all Malaysian PC and non-PC companies. The final sample comprises 561 firms over the investigation period 2010–2019. The methodology entails Ordinary Least Squares (OLS) regressions of the impact of the PC firms on corporate risk-taking and performance. The authors also conduct t-tests of the equality of means of corporate risk-taking and performance between PC and non-PC companies.
Findings
The authors’ results show that politically connected firms undertake significant less corporate risk and relish higher financial performance than their counterparts. It implicatively insinuates that the presence of a politician on the board enables the management to mitigate the risk-taking, which makes the firms more profitable. The authors’ results corroborate network theory, suggesting that political ties alleviate the agency issue and safeguard the shareholders' interest.
Research limitations/implications
The study's results were important as they highlighted the sustainable development of PC and non-PC companies, offering insights to researchers, policymakers, regulators, financial report users, investors, environmental unions, employees, clients and society.
Originality/value
This paper is novel since it is unique in evaluating sustainable practice in PC and non-PC firms.
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Zongshui Wang, Wei Liu, Zhuo Sun and Hong Zhao
Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and…
Abstract
Purpose
Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.
Design/methodology/approach
This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.
Findings
The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.
Practical implications
This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.
Originality/value
Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.
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Lingling He, Miaochan Lin, Shichang Liang, Lixiao Geng and Zongshu Chen
This research explores the impact of classical aesthetics (e.g. order and symmetry) and expressive aesthetics (e.g. creativity and distinctiveness) on consumer green consumption.
Abstract
Purpose
This research explores the impact of classical aesthetics (e.g. order and symmetry) and expressive aesthetics (e.g. creativity and distinctiveness) on consumer green consumption.
Design/methodology/approach
This research conducted three studies. Study 1 explored the main effect of appearance aesthetics (appearance: plain vs classical vs expressive) on green products purchase intention through a one-factor between-subjects design. Study 2 verified the mediating role of perceived naturalness through two types of appearance aesthetics (appearance: classical vs expressive) between-subjects design. Study 3 verified the moderating role of product identity-symbolic attributes through a 2 (product identity-symbolic attributes: non-identity-symbolic vs identity-symbolic attributes) × 2 (appearance: classical aesthetics vs expressive aesthetics) between-subjects design.
Findings
Consumers will be more likely to purchase a green product that has classical aesthetics appearance (vs expressive aesthetics). Perceived naturalness mediates the effect of aesthetic appearance on consumer green consumption. Product identity symbol attributes moderate this effect. Specifically, for non-identity-symbolic green products, classical aesthetics can effectively enhance consumer purchase intention. For identity-symbolic green products, expressive aesthetics can effectively enhance consumer purchase intention.
Originality/value
Existing research suggests that aesthetic appearance can increase consumers’ evaluation of electronic products, beauty products and food, but the difference between aesthetics has not yet been explored. This research compares two aesthetics, contributing to the literature on aesthetic appearance in green products and offering valuable insights for managers’ green products marketing.
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Xiaoyan Jiang, Sai Wang, Yong Liu, Bo Xia, Martin Skitmore, Madhav Nepal and Amir Naser Ghanbaripour
With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a…
Abstract
Purpose
With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge.
Design/methodology/approach
Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks.
Findings
The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management.
Research limitations/implications
The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented.
Practical implications
The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process.
Originality/value
The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.
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