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11 – 20 of 58Xiaoli Tang, Xiaolin Li and Zefeng Hao
Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers'…
Abstract
Purpose
Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers' purchase intention and reveals the underlying mechanisms through which background visual complexity influences consumers' purchase decisions.
Design/methodology/approach
The experiment was conducted with 180 college students, using eye-tracking technology to explore the impact mechanism of live background visual complexity on consumers' purchase intention, considering three types of background visual complexity (high vs medium vs low) and two levels of need for cognitive closure (high vs low).
Findings
Firstly, the background visual complexity of live-streaming positively influences consumers' purchase intention by eliciting positive emotions (pleasure and arousal), and the relationship between consumer emotions and purchase intention is nonlinear. Secondly, need for cognitive closure to significantly moderate the influence of background visual complexity on purchase intention.
Research limitations/implications
The limited sample size makes it difficult to generalize to other consumer groups. Also, the study only focuses on one visual factor, lacking comprehensive analysis from multiple perspectives.
Practical implications
It is recommended that live e-commerce companies optimize the visual design of live-streaming backgrounds and identify consumer traits to match the visual complexity with consumers' level of need for cognitive closure, thereby stimulating positive emotions and facilitating more satisfactory shopping decisions.
Originality/value
This paper addresses an interesting and practical issue related to the effects of live background visual complexity on consumers' purchase intention.
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Xiaoli Yan and Tao Li
This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of…
Abstract
Purpose
This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of Urban Brain and exploring its role and effect. This paper tries to provide a reference for other cities' digital infrastructure construction through case analysis.
Design/methodology/approach
The authors took Hangzhou Urban Brain as a typical case in urban digital infrastructure construction, and they conducted thorough research on its practice in facing COVID-19. The authors analyzed the key elements of Urban Brain, the application and the evaluation of Urban Brain through literature review, field investigation, questionnaire and interviews.
Findings
Hangzhou Urban Brain has been deeply applied in urban management and has a good foundation. Therefore, when the COVID-19 occurred, the Urban Brain played an important role. The detailed practices facing COVID-19 are mainly in five aspects: information collection and analysis, ensuring material supply by government–enterprise collaboration, using AI and Big Data to “Visualize” COVID-19, etc. Moreover, Urban Brain has won high evaluation. However, Hangzhou Urban Brain still has problems like data privacy and security, technical issues, etc.
Originality/value
This case study shows that Hangzhou's experience in Urban Brain construction is worthy of reference and promotion. Firstly, it can strengthen the understanding of digital infrastructure in responding to public health emergencies. Furthermore, it provides a reference for other urban governance worldwide by excavating the role and effect of digital infrastructure in preventing and controlling COVID-19. Thirdly, it explores how to improve the digital infrastructure construction to support public health challenges, which will help the cities grasp the actual value of data and make progress in this field. By this, it can provide references for cities in the world, especially in Asia to achieve sustainable city development.
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Zhen Li, Yufan Lu, Chi Zhang, Jinlong Dong, Xiaoli Zhao and Liqin Wang
The traction behaviours of lubricating oil significantly affect the stability and lubrication regime of aviation high-speed ball bearings. Rolling elements will slide at a low…
Abstract
Purpose
The traction behaviours of lubricating oil significantly affect the stability and lubrication regime of aviation high-speed ball bearings. Rolling elements will slide at a low traction force (TF). Therefore, traction behaviours need to be studied, and a fitting expression for traction curves to rapidly calculate the traction coefficient (TC) should be developed.
Design/methodology/approach
The traction behaviours of an aviation lubricating oil were studied in severe operating conditions with a self-designed two-disc testing rig. Based on the least squares method and the Levenberg–Marquardt theory, a rapid calculation expression was developed by fitting the obtained traction curves. The correction of this expression was experimentally verified by comparing the TCs under different operating conditions. This expression was also used to modify the commonly accepted quasi-dynamic model of rolling bearings.
Findings
An increase of the load led to an increase in the TC. In comparison, the temperature and entrainment speed showed inverse effects. The proposed expression exactly predicted the trend of the experimentally acquired traction curve. The calculation with the modified dynamic model showed that the action of the TF on a single rolling element varied and that the temperature increase of the outer raceway is higher than the inner raceway, which is caused by the TF and relative sliding speed between the elements and raceways.
Originality/value
The proposed fitting expression is able to simplify the TC calculation of synthetic aviation lubricating oil in practical engineering applications. This paper can provide an important reference for the traction behaviour of synthetic aviation lubricating oil under severe conditions and assist with its rapid calculation and practical application in engineering.
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The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then aligning IT…
Abstract
Purpose
The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then aligning IT with each stage to help provide the information for decision making.
Design/methodology/approach
Through comprehensive literature review, this paper first identifies the various IT applications in on-site construction monitoring and analyzes the existed disaster/crisis stage models, also the stage models are compared with the causation models to illustrate the strengths. Then, a three-step methodology was conducted to develop and apply the conceptual framework, including the construction of the four-stage model; the establishment of the conceptual framework of information technology (IT) support for management of construction accidents (ITSMCA); and a building collapse accident used to illustrate the proposed framework.
Findings
The accident is divided into four stages, which are incubation stage, outbreak stage, spreading stage and final stage. The real-time staged information to support decision making, such as the contributing factors of on-site workers, materials, equipment and workplace, can be provided by emerging IT. Therefore, IT is aligned with the variations of contributing factors’ attributes in the four stages and ITSMCA is constructed to help accidents management.
Research limitations/implications
The focus of the framework presented in this paper is that the stage model is effective for it catches the variations of the attributes whose values can be provided by IT rather than research on the practical application of the IT system. The construction and application of the IT system will be the research focus in the future.
Originality/value
This paper presents a stage model of a building collapse accident and gives a comprehensive conceptual framework of ITSMCA, which align the IT with different stages of the collapse accident. The ITSMCA proposes a feasible ideology and practical method for real-time management of the collapse accident during the process.
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Yuzhuang Sun, Piaopiao Duan, Xinwang Li, Jinxi Wang and Xiaoli Deng
In China there are large amounts of coal located underneath buildings. In this article the severity of the problem is studied, and the characteristics of the mining technology…
Abstract
In China there are large amounts of coal located underneath buildings. In this article the severity of the problem is studied, and the characteristics of the mining technology used for the extraction of coals under buildings are described. Based on the comprehensive analyses of the abundant literature, separated bed grouting, backfill mining, Partial Mining and homonic mining technology, are the main mining technologies that exist for extraction of these coals. At the same time, the necessary measures for protecting the buildings are also considered. In particular, the authors have analysed the development of these mining technologies and concluded that the waste filling will be the focus of development, and that the main developing technologies of the filling mining method should be further perfecting the separated bed filling, strip mining and strenthening the anti-deformation of building.
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Qing Wang, Xiaoli Zhang, Jiafu Su and Na Zhang
Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the…
Abstract
Purpose
Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the supply chain. Therefore, this paper aims to provide a multi-criteria decision-making method in a probabilistic hesitant fuzzy environment to assist platform-type companies in selecting cooperative suppliers for carbon reduction in green supply chains.
Design/methodology/approach
This paper combines the advantages of probabilistic hesitant fuzzy sets (PHFS) to address uncertainty issues and proposes an improved multi-criteria decision-making method called PHFS-DNMEREC-MABAC for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Within this decision-making method, we enhance the standardization process of both the DNMEREC and MABAC methods by directly standardizing probabilistic hesitant fuzzy elements. Additionally, a probability splitting algorithm is introduced to handle probabilistic hesitant fuzzy elements of varying lengths, mitigating information bias that traditional approaches tend to introduce when adding values based on risk preferences.
Findings
In this paper, we apply the proposed method to a case study involving the selection of carbon emission reduction collaboration suppliers for Tmall Mart and compare it with the latest existing decision-making methods. The results demonstrate the applicability of the proposed method and the effectiveness of the introduced probability splitting algorithm in avoiding information bias.
Originality/value
Firstly, this paper proposes a new multi-criteria decision making method for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Secondly, in this method, we provided a new standard method to process probability hesitant fuzzy decision making information. Finally, the probability splitting algorithm was introduced to avoid information bias in the process of dealing with inconsistent lengths of probabilistic hesitant fuzzy elements.
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Lijuan Luo, Yuwei Wang, Siqi Duan, Shanshan Shang, Baojun Ma and Xiaoli Zhou
Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations…
Abstract
Purpose
Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.
Design/methodology/approach
The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.
Findings
The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.
Originality/value
First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.
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Xiaoli Zhou, Yiwen Cui and Shaopeng Zhang
The purpose of this paper is to examine the direct effects of Internet use on rural residents' income growth and the indirect effects of increasing their income by promoting rural…
Abstract
Purpose
The purpose of this paper is to examine the direct effects of Internet use on rural residents' income growth and the indirect effects of increasing their income by promoting rural residents' entrepreneurial and non-agricultural employment.
Design/methodology/approach
Regarding the implementation of the rural revitalization strategy, based on the 2016CFPS data, multiple linear regression analysis and mediation effect analysis are used. To decrease the potential endogeneity of the model, we used the instrumental variable in the model.
Findings
The results show that: (1) Internet use has a direct effect on rural residents' income growth; (2) rural residents' entrepreneurial or non-agricultural employment affects the mechanism of Internet use and their income growth, so that can perform an indirect promotion effect; (3) the direct promotion effect of Internet use is stronger than the indirect promotion effect of entrepreneurship and non-agricultural employment.
Originality/value
The effect of using Internet for the income growth of Chinese farmers has been confirmed by some scholars, but the specific mechanism is still relatively vague. The originality is to consider the intermediary transmission effect of entrepreneurship and non-agricultural employment in the study of the impact of Internet use on Chinese farmers' income growth, and use the mediation effect model for empirical analysis. The empirical research results further reveal this mechanism.
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Hualing Xie, Shengtao Wang, Xiaoli Chen and Jingjing Wu
The purpose of this paper is to gain an understanding of the current research on Internet-plus.
Abstract
Purpose
The purpose of this paper is to gain an understanding of the current research on Internet-plus.
Design/methodology/approach
The authors collected scholarly publications from the scientific databases Web of Science, Core Collection, Inspec and Compendex (Ei Village 2) and performed statistical analysis of the retrieved data from five perspectives.
Findings
The research on Internet-plus has obtained increasing attention in China. The top three research fields were social science, education and management.
Originality/value
The study will help researchers understand the current trends on Internet-plus.
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Bingna Lin, Saerom Wang, Xiaoxiao Fu and Xiaoli Yi
This paper aims to explore the relationships among local food consumption experience, cultural competence, eudaimonia, and behavioral intention. Building upon acculturation…
Abstract
Purpose
This paper aims to explore the relationships among local food consumption experience, cultural competence, eudaimonia, and behavioral intention. Building upon acculturation theory, need hierarchy theory and self-determination theory, the current study develops a conceptual model of local food consumption as international tourists’ acculturation process.
Design/methodology/approach
This study collects data from 305 Chinese outbound tourists and uses partial least squares-structural equation modeling to examine the developed model.
Findings
The findings reveal a significant effect of the local food consumption experience, consisting of novel, authentic, sensory and social dimensions, on cultural competence, which subsequently evokes eudaimonia and behavioral response toward local food. The mediating effect of cultural competence is also confirmed.
Practical implications
Destination marketers and restaurant managers should recognize local food consumption as a meaningful tool that contributes to tourists’ cultural competence and eudaimonic well-being during travel. They should strive to craft an indigenous consumption setting and provide employee training on the history and culture of local food, helping tourists understand local food customs and embrace different food cultures.
Originality/value
To the best of the authors’ knowledge, very few studies have attempted to examine the meaningful consequences of local food consumption through the theoretical lens of acculturation. This study dives into international tourists’ local food consumption and pioneers a conceptual model to capture how local food consumption experience provokes their eudaimonia and behavioral desires through the mechanism of cultural competence.
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