Examining contributors to Vietnamese high school students’ digital creativity under the serendipity-mindsponge-3D knowledge management framework

Nguyen, Minh‐Hoang; Jin, Ruining; Hoang, Giang; Nguyen, Minh_Hieu Thi; Nguyen, Phuong‐Loan; Le, Tam-Tri; La, Viet‐Phuong; Vuong, Quan‐Hoang

doi:10.1016/j.tsc.2023.101350

Cited by 10 publications

(6 citation statements)

References 64 publications

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“…Furthermore, artificial intelligence can be utilized to analyze the water treatment process parameters and identify the optimal treatment conditions using optimization algorithms. This approach enhances the water treatment efficiency and effectiveness while reducing energy and resource consumption [17].…”

Section: Analysis Of the Resultsmentioning

confidence: 99%

A Study on the Efficiency of Green Technology Innovation in Listed Chinese Water Environment Treatment Companies

Wang,

Shi,

et al. 2024

Water

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With the continuous advancement of the economy, the issues of resource scarcity and environmental damage are becoming increasingly severe. For example, in terms of water resources, the problems of environmental pollution and ecological imbalance in the water caused by industrial and agricultural wastewater are becoming more serious. In order to reduce water pollution, protect water resources, promote ecological balance, and reduce environmental risks, it is necessary to strengthen water environment management. This study uses the Malmquist DEA model to conduct a study on the green technology innovation efficiency (GTIE) of 24 water environment governance companies from 2019 to 2022. Corporate Research & Development investment and employee compensation are used as the input indicators, while the number of color patents obtained and operating income are employed as the output indicators. The evaluation criteria include pure technical efficiency, comprehensive technical efficiency, scale efficiency, and total factor productivity. The results show that there is significant room for improvement in the GTIE of the listed Chinese water environment governance enterprises, and there are considerable differences among different enterprises. The GTIE is significantly influenced by technological progress, the enterprise size, and the equity ratio. Therefore, water environment management enterprises should enhance their efforts in technological research and development and talent training, optimize resource allocation, improve the efficiency of green technology innovation, and effectively fulfill their social responsibilities. These measures will promote the efficient utilization of ecological water, the restoration of the water environment, and the establishment of a clean ecological environment.

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Section: Analysis Of the Resultsmentioning

confidence: 99%

A Study on the Efficiency of Green Technology Innovation in Listed Chinese Water Environment Treatment Companies

Wang,

Shi,

et al. 2024

Water

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“…The creative solution can be used as input for the later problem-solving creativity processes. Higher digital skills or capability may facilitate the information-seeking behavior important for generating creative solutions more effectively [36].…”

Section: Resultsmentioning

confidence: 99%

Examining the digital skills of nursing students: the power of information for problem-solving

Sari,

Artsanthia,

Marcello

et al. 2024

IJPHS

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Our society is undergoing digital change. Dealing with digital technologies has become a daily practice. Many healthcare facilities are implementing digital technologies. Nurses are placed in a strategic position to be the leader of the digital healthcare workforce. Nursing students are more exposed to this technological advancement as they are future professional nurses. This study aimed to examine how information-processing and exchanging skills in digital spaces affect digital problem-solving skills among nursing students. The Bayesian mindsponge framework (BMF) was used as a conceptual framework. This quantitative study utilized a cross-sectional design. The population was all nursing students in two private nursing institutions located in Bangkok, Thailand (n=476) and Surabaya, Indonesia (n=179). Samples were the total population. Self-developed instrument was used in data collection. Data analysis used BMF analytics. The majority were females aged 20-22 years old who use smartphones and tablets daily. The information-processing and information-exchanging skills in digital spaces were positively associated with digital problem-solving skills among nursing students (MInformationProcess=0.30 and SDInformationProcess=0.05; MInformationExchange=0.37, and SDInformationExchange=0.05). More efforts are needed to improve nursing students’ problem-solving skills by using digital content, for instance, by modifying the information-processing and information-exchanging skills in digital spaces. Collaborative learning methods should be promoted in order to support the creation of conducive environment for supporting knowledge or information-exchanging behavior among nursing students by using digital technology.

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“…Our empirical results also resonate with some theoretical explanations of the complex innovation-making process. For instance, according to the 3D creativity management theory, which was proposed by Vuong and Napier [49] and further developed by Vuong et al [50] and Nguyen et al [51], the novelty and usefulness of a person's creative ideas can be updated when these ideas are exchanged with others. Here, the exchange of ideas with others functions as filters that helps filter, refine, and re-evaluate the creativity of ideas, thus facilitating the complex process of technological innovation.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Land-Use Mix on Technological Innovation: Evidence from a Grid-Cell-Level Analysis of Shanghai, China

Jiang,

Xiong

2024

Land

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While the benefits of land-use mix have been widely analyzed with regard to transportation, public health, and economic development, relatively little attention has been paid to empirically investigating the impact of land-use mix on technological innovation at the intra-urban level. Drawing upon a database of geo-coded patents that are used to reflect the capacity of technological innovation, this paper takes Shanghai as a case study and analyzes how the intra-urban distribution of technological innovation has been associated with land-use mix at the 1 km × 1 km grid cell level. Empirical results, which are robust when the grids are divided at the 2 km × 2 km level, show that the degree of land-use mix is positively associated with the number of patents for a given grid, suggesting that grids with a higher level of land-use mix are likely to have more patents, ceteris paribus. Moreover, the results demonstrate an inverted U-curve relationship between land-use mix and technological innovation, indicating that a too much higher level of land-use mix could lead to a smaller number of patents for a certain grid. In addition, the empirical results suggest the existence of spatial dependence in the effect of land-use mix on technological innovation.

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Examining contributors to Vietnamese high school students’ digital creativity under the serendipity-mindsponge-3D knowledge management framework

Cited by 10 publications

References 64 publications

A Study on the Efficiency of Green Technology Innovation in Listed Chinese Water Environment Treatment Companies

A Study on the Efficiency of Green Technology Innovation in Listed Chinese Water Environment Treatment Companies

Examining the digital skills of nursing students: the power of information for problem-solving

The Impact of Land-Use Mix on Technological Innovation: Evidence from a Grid-Cell-Level Analysis of Shanghai, China

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