A sustainable shipping management framework in the marine environment: Institutional pressure, eco-design, and cross-functional perspectives

Wang, Lu; Yao, Jinge; Zhang, Haikuo; Pang, Qiwei; Fang, Mingjie

doi:10.3389/fmars.2022.1070078

Cited by 9 publications

(6 citation statements)

References 96 publications

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“…The manufacturing and distributing biofuels and installing offshore wind farms are two examples of activities that can potentially damage aquatic ecosystems and habitats. Careful planning and extensive environmental impact studies are required to minimize these consequences and ensure the deployment of these technologies in a sustainable manner [126], [127].…”

Section: B Policy Suggestions 1) Environmental Implicationsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Nguyen,

Tran

et al. 2024

JOIV : Int. J. Inform. Visualization

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This paper aims to investigate the role that artificial intelligence (AI) plays in promoting sustainability in the marine industry. The report demonstrates the potential of AI-driven technology to improve vessel operations, decrease emissions, and promote environmental stewardship. This potential is shown by detailed examination of existing trends, problems, and possibilities. Several vital studies highlight the significance of policy interventions that encourage the use of artificial intelligence. These interventions include financial incentives, legal frameworks, and programs to increase capability. Throughout this work, the importance of the role that artificial intelligence plays in driving efficiency, safety, and sustainability is emphasized. This work also highlights the urgent need for action to address climate change and environmental degradation in the marine sector. The marine industry can lessen its carbon footprint, decrease pollution, and improve ecosystem health if it shifts to various alternative fuels, renewable energy sources, and technologies powered by artificial intelligence. At the end of this work, an appeal is made to policymakers, industry stakeholders, and technology providers, urging them to prioritize investments in artificial intelligence research and development and to create collaboration to speed up the transition to a marine sector that is more sustainable and resilient.

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Section: B Policy Suggestions 1) Environmental Implicationsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Nguyen,

Tran

et al. 2024

JOIV : Int. J. Inform. Visualization

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“…It is suggested that future research should be conducted using longitudinal research designs. For example, cross-functional studies could be developed for companies to improve their management framework [86]. This research has been conducted in the electronic industry only.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Does Technology Orientation Determine Innovation Performance through Digital Innovation? A Glimpse of the Electronic Industry in the Digital Economy

Nassani

Grigorescu

Yousaf³

et al. 2023

Electronics

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This study aims to explore the impact of technology orientation on innovation performance in the electronic industry operating in the digital economy. This study also investigates the mediating role of digital innovation (a special type of innovation that is based on digital technologies) in the relationship between technology orientation and innovation performance. Primary data, based on perception, was collected from operational managers of electronic firms. Correlation and regression analyses were used to test the direct relationship among digital innovation, innovation performance, and technology orientation. The stepwise regression model was used to check the indirect relationship (mediation analysis). Findings revealed that technology orientation is a major predictor of innovation performance in the electronic industry. Results show that digital innovation acts as a bridge between technology orientation and innovation performance. This study investigates the nexus of technology orientation, digital innovation, and innovation performance in electronic firms. This study contextualizes electronic firms for the achievement of innovation performance through digitalization and technology orientation, which is a dire need of the current decade.

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“…In countries that have not yet implemented a GHWLs policy, this policy should be implemented as soon as possible to warn the public more effectively about the dangers of smoking. This requires borrowing the power of the institution and legislating to solve the problem (Wang et al, 2023).…”

Section: Policy Implicationsmentioning

confidence: 99%

Smoking cessation policy and treatments derived from the protective motivation of smokers: a study on graphic health warning labels

Pang,

Wang,

Yao

et al. 2023

Front. Psychol.

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IntroductionSmoking is a leading public health risk. Many countries are reducing the demand for tobacco through graphic health warning labels (GHWLs). This study aims to explore smokers’ perceptions of GHWLs and analyze the effect of GHWLs on their behavioral intentions to quit smoking.MethodsA theoretical model is designed by synthesizing protection motivation theory, an extension of the extended parallel process model, and the theory of planned behavior. We collected a cross-sectional sample of 547 anonymous smokers through a stratified random sampling strategy. GHWLs published in 2011 by the US Food and Drug Administration were used in the survey to assess smokers’ responses to them, and then the hypotheses are validated through structural equation models.ResultsThe results suggest that perceived severity, perceived vulnerability, response efficacy, and health anxiety have a significant impact on smokers’ protection motivation. Furthermore, smokers’ protection motivation directly impacts the behavioral intention to quit smoking and indirectly influences intention to quit through attitudes.DiscussionThese findings have practical implications for the implementation and improvement of GHWLs policies. Meanwhile, this study enriches the literature on public health protection measures (i.e., GHWLs) and smokers’ behavioral intention to quit smoking.

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A sustainable shipping management framework in the marine environment: Institutional pressure, eco-design, and cross-functional perspectives

Cited by 9 publications

References 96 publications

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Does Technology Orientation Determine Innovation Performance through Digital Innovation? A Glimpse of the Electronic Industry in the Digital Economy

Smoking cessation policy and treatments derived from the protective motivation of smokers: a study on graphic health warning labels

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