Meier Zhuang's research while affiliated with Guangdong University of Foreign Studies and other places
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Publications (8)
Purpose
The main purpose of this paper is to explore the influence mechanism of corporate social responsibility (CSR) for smart cities on consumers' purchase intention. The authors aim to identify the key components of CSR for smart cities based on the perspective of consumers, namely responsibility toward consumers, environment and community and v...
This paper examines the effects of pandemic uncertainty on socially responsible investments. We use the overall corporate sustainability performance index in the Global-100 Most Sustainable Corporations in the World dataset to measure socially responsible investments. The global pandemic uncertainty is also measured by the World Pandemic Uncertaint...
Currently, energy saving is increasingly important. During the production procedure, energy saving can be achieved if the operational method and machine infrastructure are improved, but it also increases the complexity of flow-shop scheduling. Actually, as one of the data mining technologies, Grey Wolf Optimization Algorithm is widely applied to va...
From the practice of developed countries, countries with higher patent applications and PCT patent applications (such as the United States, China, Japan, the United Kingdom, Germany, etc.) have relatively higher outward foreign direct investment, and the actual data of provinces in China also show that with the improvement of the patent level in va...
The study uses data envelopment analysis (DEA) combined with fuzzy computing to construct an improved evaluation model of service providers. From the perspective of a forklift company's scale and fleet level, the performance appraisal system of forklift leasing service providers is established, where the two fuzzy variables, namely team level, and...
Data mining and information technology is increasingly important in the era of big data. To further explore its practical value in economic field, this paper studies its application in evaluating real estate investment plans. R software is applied as the statistical computing console and relative program code is created to implement gray relational...
Citations
... Based on the internal environment, Zhao (2015) shows that financing constraints reduce the efficiency of enterprise resource allocation and have a negative impact on total factor productivity [5]; Sheng and Jiang (2019) find an inverted "U-shaped" association between executive monetary compensation incentives and enterprise total factor productivity [6]. Qing Li et al. (2021) found that information management ability can improve risk prediction, performance incentive, integrated innovation and, finally, effectively improve the total factor productivity of enterprises [7]. According to the study of Guo Mengnan and Li Xiaohong (2020), internal control can effectively alleviate resource mismatch, improve organizational efficiency and promote the growth of enterprise value [8]. ...
... The digital economy is an economic aspect based on the use and empowerment of digital information and communication technology [6]. One of the concepts of the digital economy era is that information is no longer just a medium for transactions and communication but is a major source that brings profit to the economy and can provide access to the procurement and supply of goods and services that support business operations in the industrial and trade sectors. ...
... With the city's expansion, the risks accumulate and eventually evolve into public crisis events. They hinder the healthy development of cities, stimulate the sensitive nerves of citizens, and test the decision-making wisdom of participating governance bodies (Zhuang et al., 2022). In the process of social modernization, every city is inevitably accompanied by the creation of public crisis events. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/1047190696910851-1626681126832_Q64/Wenzhong-Zhu-4.jpg)
... Consistent evidence from both empirical studies and theoretical models highlights the negative effect of uncertainty on investment decisions. This uncertainty may originate from diverse sources, including fluctuations in input costs and output prices [1,2], macroeconomic instabilities [3], ambiguities in policy environments [4], political fluctuations [5], pandemic-related uncertainties [6,7], energy policy uncertainties [8][9][10], climate policy uncertainties [11], and environmental regulation uncertainties [12]. ...
... Energy efficiency is crucial for reducing costs, minimising environmental impact, and extending the range of electric vehicles [40][41][42]. Heuristics are problem-solving strategies that use practical rules or methods to find solutions, often when finding an optimal solution is computationally challenging [43][44][45]. An incentive algorithm is a set of rules or mechanisms designed to encourage specific behaviours or actions among network participants [46,47]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/552613503606784-1508764734113_Q64/Lvjiang-Yin.jpg)
... Based on the FCE method, it can handle the fuzziness and uncertainty between evaluation indicators. It can be applied to different types of WR building systems, with high applicability and flexibility [18,19]. ...
... conforme proposto por Zhu et al. (2020). Os resultados são apresentados na Tabela 2, e os valores destacados em negrito são aqueles que apresentam correlação significativa. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/280173082628097-1443809876275_Q64/Gang-Wang-33.jpg)
... Precision marketing is based on the collation and analysis of customer s' data, which can accurately grasp the demand of customers, provide customers with appropriate products and marketing means, and realize the company's interests. Data mining, including clustering analysis, discriminant analysis and factor analysis, is commonly used in practical technology [8]. ...
