Publicação
The trade-off between corporate social responsibility response and business innovation of state-owned enterprises in large-scale emergencies
| Resumo: | In early 2020, with the large-scale outbreak of COVID-19 in China, Chinese state-owned enterprises (SOEs) encountered challenges in finding a balance between their corporate social responsibility (CSR) practices and business innovation within their established strategic framework. Existing theories lack the relevant direct guidance and support for the specific management practices of SOEs under this unique situation. This study aims to offer an extended SCP (Surroundings-Conduct-Performance) model that aligns with how SOEs conduct their management practices to achieve better performance within this specific context. The findings aim to provide a theoretical basis for successful management practices for SOEs in this particular scenario. This study comprises three parts. Firstly, a comprehensive literature review was conducted in the fields of measures for dealing with large-scale emergencies (LSEs), corporate social responsibility (CSR), market-based and resource-based strategic views, and competitive advantage in fast-changing or volatile environments. Through in-depth interviews, four environmental variables and two performance variables were identified. Secondly, an extended SCP model for this study was proposed, using enterprise trade-off as a mediating variable between the environment and performance. Thirdly, a final questionnaire survey was conducted, resulting in the collection of 397 effective questionnaires. The model was validated through statistical data analysis using the partial least squares structural equation model. The extended SCP model proposed in this study, based on environmental variables, offers theoretical guidance for state-owned enterprises (SOEs) to implement specific management practices during large-scale emergencies (LSEs). Additionally, it sheds new light on similar cross-field research. |
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| Autores principais: | He Xilin |
| Assunto: | Environment Trade-off Performance Strategy LSE CSR |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | In early 2020, with the large-scale outbreak of COVID-19 in China, Chinese state-owned enterprises (SOEs) encountered challenges in finding a balance between their corporate social responsibility (CSR) practices and business innovation within their established strategic framework. Existing theories lack the relevant direct guidance and support for the specific management practices of SOEs under this unique situation. This study aims to offer an extended SCP (Surroundings-Conduct-Performance) model that aligns with how SOEs conduct their management practices to achieve better performance within this specific context. The findings aim to provide a theoretical basis for successful management practices for SOEs in this particular scenario. This study comprises three parts. Firstly, a comprehensive literature review was conducted in the fields of measures for dealing with large-scale emergencies (LSEs), corporate social responsibility (CSR), market-based and resource-based strategic views, and competitive advantage in fast-changing or volatile environments. Through in-depth interviews, four environmental variables and two performance variables were identified. Secondly, an extended SCP model for this study was proposed, using enterprise trade-off as a mediating variable between the environment and performance. Thirdly, a final questionnaire survey was conducted, resulting in the collection of 397 effective questionnaires. The model was validated through statistical data analysis using the partial least squares structural equation model. The extended SCP model proposed in this study, based on environmental variables, offers theoretical guidance for state-owned enterprises (SOEs) to implement specific management practices during large-scale emergencies (LSEs). Additionally, it sheds new light on similar cross-field research. |
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