How a Successful Implementation and Sustainable Growth of e-Commerce can be Achieved in Developing Countries; a Pathway Towards Green Economy

Mustafa, Sohaib; Hao, Tengyue; Qiao, Yu; Shah, Sayed Kifayat; Sun, Ruodan

doi:10.3389/fenvs.2022.940659

Cited by 29 publications

(47 citation statements)

References 72 publications

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“…For instance, Chankrajang and Muttarak (2017) observed that human capital plays an essential role in the alteration of people’s attitudes that induces them to use renewable energy sources. Besides, the contribution of education in comprehending the causes and consequences of climate change cannot be undermined ( Yin et al, 2021 ; Liu N. et al, 2022 ; Liu Y. et al, 2022 ; Lu and Sohail, 2022 ; Mustafa et al, 2022a , b , c ). According to Sarkodie et al (2020) , education positively affects recycling activities.…”

Section: Introductionmentioning

confidence: 99%

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

2022

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Human capital and ICT have a significant role in determining human development. The impacts of ICT and human capital on green growth and environmental sustainability should be explored for sustainable economic development. This research contributes to the literature on the role of ICTs and human capital in the determination of green growth and environmental performance. Based on time-series data 1990–2019, the study intends to investigate the impact of ICTs and human capital on environmental and green growth performance for China. The study reports that ICTs tend to reduce CO2 emissions and improve green growth in the long-run. However, education reduces CO2 emissions in the long-run but does not produce any significant impact on green growth in the long-run. It is suggested that government should invest in environmental efficiency and environmental technologies simultaneously with human capital that could significantly contribute to pollution reduction. Lastly, policies to increase human capital should be implemented simultaneously with policies to promote ICTs contribution in order to confirm green growth and environmental protection.

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Section: Introductionmentioning

confidence: 99%

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

2022

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“…After that, we performed Psychology Research and Behavior Management 2022:15 https://doi.org/10.2147/PRBM.S386097 DovePress 2675 Dovepress a bootstrapping test with 5000 repetitions to see how much our results supported the hypothesis. 42,53,54 PLS-SEM direct path analysis revealed that WQK -> WUFWFP (β=0.342; p<0.000), SP -> WUFWFP (β=0.125; p<0.000), HC -> WUFWFP (β=0.488; p<0.000), HW -> WUFWFP (β=−0.160; p<0.000) CS -> WUFWFP (β=−0.114 p<0.001), WC-> WUFWFP (β=−0.054; p<0.033) are significant. These results offer support to hypotheses H1-H6 accepted.…”

Section: Resultsmentioning

confidence: 99%

A PLS-SEM Analysis to Check Public Willingness to Use Water from Filtration Plants Installed by Public Own Organizations; a Study of Psychological Behavior Toward Sustainable Development

Sohail¹,

Chen²

2022

PRBM

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Introduction Water is the basic need of human beings and there is no substitute for water. This research was conducted to analyze public willingness to use water from filtration plants installed by public own Organizations and which psychological factors may help them to decide to use safe water. Methods There ought to be some nudges in the right direction to encourage people to use water filters. A questionnaire was adopted from the literature for this research. PLS-SEM is used to evaluate data to check the connection among variables since it is the most recommended way for assessing and predicting explained variables to account for the largest latent variance, and PLS-SEM is one of the most effective approaches for predicting outcomes. Results PLS-SEM direct path analysis revealed that hypotheses H1-H6 were accepted and the gender and levels of education of the respondents as control variables, gender and education showed insignificant relationships with WUFWFP. Age showed a substantial relationship as a moderator variable between WQK*Age, and HC*Age with a willingness to use filter water from filtration plants=WUFWFP, while the rest of the variables showed an insignificant relationship. Discussion As per our results, H1a and H3a have a significant relationship as moderator variables between IV and DV, while H2a, H4a, H5a, and H6a did not show any relationship as moderator variables between IV and DV. Hence H1a and H3a were accepted while the rest of the moderator was rejected under this research. This study would be helpful for the decision-makers and planners to take proper sustainable measures to address the repercussions of urbanization and land use changes to protect the ecosystem.

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“…Sensors that regularly send and receive data will help to consume power. The advantage of integrated smartphone-based wearable technology is that it can optimize storage capacity (Mustafa et al, 2022d). Wearables are based on constant teachings and all data that wearable monitors can use.…”

Section: Activity Recognition Wearable Sensorsmentioning

confidence: 99%

Physical education and emergency response system using deep learning: A step toward sustainable development of physical education environment

Guangde

2022

Front. Environ. Sci.

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The physical education (PE) system’s key goal is to educate individuals and the large community of participating students to achieve self-fulfillment. Deep learning uses integrated expertise to help students master challenging conditions in unfamiliar contexts. It is normal to get injuries while training or playing, and as an emergency response to mitigating students’ future risks by the availability of first aid, safety steps are promptly taken. Therefore, this article suggests a “physical education and emergency response system using deep learning” (PSERS-DL) to handle such situations effectively. In real-time, the PE environment can be tracked using a global positioning system-enabled surveillance system to immediately provide the wounded student with protective measures. The acquired visuals are immediately analyzed using a deep learning model, convolutional neural network (CNN). The 27 layers proposed in the CNN model have been evaluated compared with other deep learning models. The simulation results showed that the proposed PSERS-DL can assure the emergency response with the highest accuracy of 97.61%. The experimental results showed that the proposed PSERS-DL model enhances an accuracy ratio of 95.6%, a performance ratio of 97.6%, movement detection analysis ratio of 96.3%, a learning rate of 95.2%, an efficiency ratio of 98.1%, a security ratio of 93.5%, a delay time ratio of 33.2%, and a behavior analysis ratio of 90.7% when compared to other existing approaches.

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How a Successful Implementation and Sustainable Growth of e-Commerce can be Achieved in Developing Countries; a Pathway Towards Green Economy

Cited by 29 publications

References 72 publications

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

A PLS-SEM Analysis to Check Public Willingness to Use Water from Filtration Plants Installed by Public Own Organizations; a Study of Psychological Behavior Toward Sustainable Development

Physical education and emergency response system using deep learning: A step toward sustainable development of physical education environment

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