Recent years have witnessed increased pressure across the global healthcare system during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare operations and taught us the importance of a resilient and sustainable healthcare system. Digitisation, specifically adoption of Artificial Intelligence (AI) has positively contributed to developing a resilient healthcare system in recent past. To understand how AI contributes to building a resilient and sustainable healthcare system, this study based on systematic literature review of 89 articles extracted from Scopus and Web of Science databases is conducted. The study is organised around several key themes such as applications, benefits, and challenges of using AI technology in healthcare sector. It is observed that AI has wide applications in radiology, surgery, medical, research, and development of healthcare sector. Based on the analysis, a research framework is proposed using an extended Antecedents, Practices, and Outcomes (APO) framework. This framework comprises AI applications’ antecedents, practices, and outcomes for building a resilient and sustainable healthcare system. Consequently, three propositions are drawn in this study. Furthermore, our study has adopted the theory, context and methodology (TCM) framework to provide future research directions, which can be used as a reference point for future studies.

Purpose: This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains. Design/methodology/approach: A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews. Findings: The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance. Practical implications: In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance. Originality/value: The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

In recent years, the fashion and textile industries have come under pressure to manage customer expectations. Previous research has shown that female consumers tend to buy more clothing than male consumers and are understood to care more about fashion. However, existing studies that have focused on understanding consumer attitudes toward sustainable fast fashion consumption have not been particularly explored from the female consumer's perspective. Neither have they attempted to explore the impact of sustainable business strategies on purchasing behaviour. This study attempts to bridge this gap and focuses on exploring the attitude and purchasing behaviour of female consumers driven by sustainable business strategies of fast fashion firms. The research findings are based on responses from 155 female consumers, followed by interviews to triangulate the findings. The results show that female consumers are sustainably conscious and aware of the sustainable initiatives of fast fashion companies. Furthermore, the study indicates that female consumers' attitudes and purchasing behaviour are both (unconsciously) influenced by the sustainable initiatives of fast fashion companies. Therefore, fast fashion companies should investigate how their sustainable initiatives and strategies influence the female consumer in terms of attitude and purchasing behaviour. This study thus adds to the limited empirical studies investigating female consumers' attitudes, awareness and purchasing behaviours.

The COVID-19 pandemic is the biggest global health crisis in years. China is the first market primarily affected by the COVID-19 pandemic, with unprecedented lockdown measures bringing real estate and other economic activities to a standstill. This study has two objectives: (1) to identify the risks critical to the risk management of commercial real estate (CRE) development projects based on the project life cycle stages and (2) to identify the stages most affected by the COVID-19 pandemic and the risk factors at different stages. Three rounds of the Delphi study were conducted with nine experts involved in the construction project. The findings indicate that the construction, lease and sale phases are prone to significant risks. Additionally, the analytic hierarchy process (AHP) identified ‘health and safety risk’ as the most critical risk factor during the construction phase and ‘marketing and payback risk’ as the most critical risk factor during the lease and sale phase. This study enhanced the effectiveness of risk management practices for implementing CRE development projects in China.