Browsing by Author "Xie, Ying"

Now showing 1 - 7 of 7
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    Decision tool of medical endoscope maintenance service in Chinese hospitals: a conjoint analysis
    (BioMed Central, 2023-12-15) Zheng, Jun; Wei, Jingming; Xie, Ying; Chen, Siyao; Li, Jun; Lou, Ligang; Sun, Jing; Feng, Jingyi
    Medical devices are instruments, apparatus, appliances, software, implants, reagents, materials or other articles that are intended for use in the treatment or diagnosis of disease or injury in humans. Concerning medical endoscope devices, which enable doctors to observe and manipulate the area under examination through a puncture hole in the body cavity or organ, hospitals predominantly consider the quality and cost of maintenance services when making their selection. The effective and efficient provision of maintenance services plays a crucial role in ensuring cost-effective and high-quality management of medical devices. In this study, we have developed an innovative decision tool that analyzed key factors impacting the choice of medical devices’ maintenance service. This tool assists hospitals in evaluating and selecting appropriate maintenance services for medical device, specifically endoscopy devices. Moreover, it also serves as a valuable resource for manufacturers and suppliers to enhance their after-sales service offerings.
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    “I just like the stock”: the role of Reddit sentiment in the gamestop share rally
    (Wiley, 2022-10-26) Long, Suwan (Cheng); Lucey, Brian; Xie, Ying; Yarovaya, Larisa
    This paper investigates the role played by the social media platform Reddit in the events around the GameStop (GME) share rally in early 2021. In particular, we analyze the impact of discussions on the r/WallStreetBets subreddit on the price dynamics of the American online retailer GameStop. We customize a sentiment analysis dictionary for Reddit platform users based on the Valence Aware Dictionary and Sentiment Reasoner (VADER) sentiment analysis package and perform textual analysis on 10.8 million comments. The analysis of the relationships between Reddit sentiments and 1-, 5-, 10-, and 30-min GameStop returns contribute to the growing body of literature on “meme stocks” and the impact of discussions on investment forums on intraday stock price movements.
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    Machine learning application to disaster damage repair cost modelling of residential buildings
    (Taylor and Francis, 2025) Wanigarathna, Nadeeshani; Xie, Ying; Henjewele, Christian; Morga, Mariantonietta; Jones, Keith
    Restoring residential buildings following earthquake damage requires a significant level of resources. Being able to predict these resource requirements in advance and accurately improves the effectiveness of disaster preparedness and subsequent recovery activities. This research explored how the latest ML algorithms could be used for antecedent earthquake loss modelling. A cost database for repairing residential buildings damaged by the Emilia Romagna earthquake in Italy was analysed using six state-of-the-art ML models to explore their ability to predict repair cost rates(cost per floor area) for a domestic building damaged by earthquakes. A Gradient Boost Regression model outperformed five other models in predicting earthquake damage repair cost rate. The performance of this model was significantly accurate and covers about 76% of the cases. A further SHAP analysis revealed that operational level, damage level and non-housing area of the buildings as top 3 important features when predicting the resultant damage repair cost rate. Overall this research advanced antecedent earthquake loss modelling approaches to increase the accuracy of estimates by incorporating more variables than the widely used damage level based simple methodology.
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    Optimisation of the circular economy based on the resource circulation equation
    (MDPI, 2024-07-30) Liu, Sanhong; Xie, Ying; Liang, Wen
    The lack of effective evaluation methods and implementation guidelines has led to frequent obstacles in the process of circular economy in enterprises. The efficiency equation for resource circulation can effectively evaluate the efficiency of an enterprise’s circular economy resource circulation from three perspectives: input, circulation, and output. Additionally, it delves into each link to identify weak points, offering guidance for optimising the enterprise’s circular economy. Utilising a value flow analysis within the context of a circular economy, this paper evaluates circular economy efficiency using a resource circulation efficiency equation. It conducts factor analysis across three dimensions: resource input, resource circulation, and waste output. This analysis aims to evaluate the corresponding resource productivity, added value output rate, and environmental efficiency. Factor decomposition techniques were then employed to identify the underlying factors contributing to poor circular economy outcomes. Furthermore, based on the relationships among three resource circulation indicators, this paper forecasts the potential advantages of integrating circular economy improvement measures and proposes practical optimisation approaches. The enhanced resource circulation efficiency resulting from the proposed optimisation approaches was validated through a case study with an aluminium company.
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    Research and innovation identified to decarbonise the maritime sector
    (Pivot Science Publications Corporation, 2024-03-27) Ling-Chin, Janie; Simpson, Rachel; Cairns, Alasdair; Wu, Dawei; Xie, Ying; et al.
    The maritime sector requires technically, environmentally, socially, and economically informed pathways to decarbonise and eliminate all emissions harmful to the environment and health. This is extremely challenging and complex, and a wide range of technologies and solutions are currently being explored. However, it is important to assess the state-of-the-art and identify further research and innovation required to accelerate decarbonisation. The UK National Clean Maritime Research Hub have identified key priority areas to drive this process, with particular focus on marine fuels, power and propulsion, vessel efficiency, port operations and infrastructure, digitalisation, finance, regulation, and policy.
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    Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy
    (Elsevier, 2022-10-10) Feng, Yuanjun; Song, Dong-Ping; Li, Dong; Xie, Ying
    This paper considers the optimization of service efficiency and service fairness in a Stochastic Container Relocation Problem (SCRP) under flexible service policies at a container terminal. Under the flexible service policy, the external trucks arriving within the same time window can be served out of sequence, which may raise a concern of service fairness. We incorporate the concept of service fairness into the SCRP in two phases. In phase 1, we propose a multiple sub-time windows-based flexible service policy, under which each time window will be divided into multiple sub-time windows and the flexible service policy is only applied to each individual sub-time window. In phase 2, the SCRP is formulated as a dynamic programming model with two lexicographically ordered objectives representing both relocation efficiency and service fairness, which is solved via a hierarchical iterative approach. In addition, we investigate whether the information of trucks’ arrival probability over the time window (which represents the customer preference information) would add value to the terminal operators. Extensive computational experiments are conducted to evaluate the impacts of the number of sub-time windows and to examine the impacts and value of customer preference information in various scenarios. The results show interesting trade-offs between efficiency and fairness. As the number of sub-time windows increases, the service fairness is generally improving (but not guaranteed) while the expected number of relocations is increasing. It is found that the customer preference information can be valuable in some circumstances, especially when each truck indicates a certain arrival sub-time window.
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    The roles of directors from related industries on enterprise innovation
    (MDPI, 2024-08-14) Liang, Wen; Song, Simiao; Xie, Ying; Liu, Sanhong
    To remain agile in response to market dynamics, foster innovation, and effectively manage potential risks, companies draw upon information from both their upstream and downstream sup-ply chain collaborators to enhance their core competitiveness. This research, conducted on A-share listed companies in Shanghai and Shenzhen from 2010 to 2021, empirically investigates the influence of directors from upstream or downstream supply chain collaborators, referred to as Directors from Related Industries (DRIs), on corporate innovation activities. This study reveals that DRIs significantly boost the innovation activities of enterprises, irrespective of their position within the operational structure. When there is considerable information asymmetry in the related industries of the industry chain, the impact of DRIs on enterprise innovation is evident in both input and output aspects. Conversely, when management has serious concerns about their career, the impact is primarily on the input side. This underscores the role of DRIs in providing relevant information about upstream and downstream industries and alleviating management’s career anxieties, enhancing their effectiveness in consulting and supervising innovation. By examining the economic consequence, corporate innovation emerges as a potential mechanism through which industry chain directors can enhance corporate value. This research delves into the effects of DRIs on enterprise innovation, offering valuable theoretical and practical insights for advancing innovation within the context of value chain integration.