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Szu-Yin Lin on Muck Rack

Szu-Yin Lin

As seen in: Wiley Online Library, MDPI, Emerald Publishing, International Journal of Electronic Business, Chinese Management Studies, Evidence - Based HRM, International Journal of Contemporary Hospitality Management
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Articles

Leveraging Green Digital Transformation Capability for Ambidextrous Green Innovation: A Pathway to Sustainability Performance in Taiwan's Manufacturing Sectors

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By Yi-Chun Huang, Chih-Hsuan Huang, Szu-Yin Lin
| Wiley Online Library Verified
1 Introduction The concept of Industry 4.0, first introduced in 2011, signifies the integration of digital and physical technologies—such as artificial intelligence, big data, and the Internet of Things—that collectively transform manufacturing through digital transformation (DT) (Šimberová et al. 2022; Simeoni et al. 2020). Since then, DT has become a key strategy in modern business (Gong and Ribiere 2021; Guo et al. 2023; Kraus et al. 2022; Matarazzo et al. 2021; Ranjan 2024).
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Exploring the Factors That Impact Employee Environmental Creative Performance in Taiwan's Environmental Manufacturing Sectors: A Multilevel Analysis

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By Szu-Yin Lin, Yi-Chun Huang
| Wiley Online Library Verified
References , , , , and . 2023. “Towards Sustainable Development in the Hospitality Sector: Does Green Human Resource Management Stimulate Green Creativity? A Moderated Mediation Model.” Business Strategy and the Environment 32, no. 6: 3217–3232. , , and . 2022. “The Impact of Green HRM on Green Creativity: Mediating Role of Pro-Environmental Behaviors and Moderating Role of Ethical Leadership Style.” International Journal of Human Resource Management 33, no. 19: 3789–3821.
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Detection of Various Dental Conditions on Dental Panoramic Radiography Using Faster R-CNN

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By Shih-Lun Chen, Tsung-Yi Chen, Yi-Cheng Mao, Szu-Yin Lin
| ieeexplore.ieee.org
In recent years, with the development of medical technology, interdisciplinary research derived from precision medicine has become a hot project. Medical research has achieved good results in analyzing massive patient data through cross-disciplinary cooperation between researchers and doctors. Among them, the development of artificial intelligence is the most important. Artificial intelligence assistance systems are very significant in medicine [1].
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