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Liu, X., 2023. The promotion of corporate social responsibility in Chinese high-tech companies: exploring the unique institutional environment in China. PhD, Nottingham Trent University.
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Abstract
This thesis presents an in-depth exploration of Corporate Social Responsibility (CSR) in the context of Chinese high-tech firms listed on the Shenzhen Stock Exchange's growth enterprise market “ChiNext”, with a focus on highlighting the legal aspects of CSR. Through a multi-dimensional lens, it examines the evolving regulatory landscape, ethical concerns, and strategic considerations affecting CSR practices and legislation in China. Utilising the 'Triple U' framework—which focuses on Urgency, Uniqueness, and an Umbrella (Government oversight)—as an analytical tool, the research emphasises the pressing need for attention to CSR. This framework aids in dissecting the distinct roles played by each entity in shaping CSR practices. A key focus is placed on the dynamic interplay between institutional theory and the legal mechanisms that both guide and constrain CSR activities.
In light of emerging trends, the thesis introduces an additional dimension by examining the integration of Artificial Intelligence (AI) within CSR strategies. The research identifies both the transformative potential and the ethical challenges posed by AI, such as data privacy, algorithmic bias, and job displacement. The study underlines the imperative for regulatory adaptability and anticipatory governance in both the realms of CSR and AI.
The thesis concludes with a blueprint for CSR in Chinese high-tech firms, including the need for a flexible and implementable CSR framework that can adapt to technological advances and shifts in socio-cultural norms. It calls for a balanced approach incorporating voluntary standards and legal requirements to promote sustainable development without stifling innovation. The insights from this work aim to enrich our understanding of CSR in the Chinese high-tech sector, offering implications for global CSR strategies and AI governance.
| Item Type: | Thesis | ||||||||||||
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| Creators: | Liu, X. | ||||||||||||
| Contributors: |
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| Date: | December 2023 | ||||||||||||
| Rights: | The copyright in this work is held by the author. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re-use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed to the author. | ||||||||||||
| Divisions: | Schools > Nottingham Law School | ||||||||||||
| Record created by: | Melissa Cornwell | ||||||||||||
| Date Added: | 26 Mar 2024 09:54 | ||||||||||||
| Last Modified: | 26 Mar 2024 09:56 | ||||||||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/51157 |
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