Dr. Ziwei Shu
Complutense University of Madrid, Madrid, Spain
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Academic Career Length
5Years (2022-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Ziwei Shu
Ramón Alberto CarrascoJPJavier Portela
Javier PortelaMSManuel Sánchez-Montañés
Manuel Sánchez-MontañésIn economic development, in addition to comparing the gross domestic product (GDP) between nations, it is critical to assess the quality of life to gain a holistic perspective of their different aspects. However, the quality of life index (QOLI) is a subjective term that can be difficult to quantify. Although this composite index is typically calculated using universal weights proposed by experts to aggregate indicators, such as safety indexes, healthcare indexes, pollution indexes, and housing indicators, it is complicated to balance multiple dimensions whose weights are adjusted to account for different countries’ circumstances. Therefore, this paper aims to construct various scenarios of the QOLI, using linguistic quantifiers of the ordered weighted averaging (OWA) operator, and the 2-tuple linguistic model. Numbeo, one of the largest quality of life information databases, was used in this paper to estimate the QOLI in 85 countries. Uncertainty and sensitivity analyses were employed to assess the robustness of the QOLI. The results of the proposed model are compared with those obtained using the Numbeo formulation. The results show that the proposed model increases the linguistic interpretability of the QOLI, and obtains different QOLIs, based on diverse country contexts.
17 January 2024 in Information Processing & Management
Journal Article
Ziwei ShuRCRamón Alberto Carrasco
Ramón Alberto Carrasco
MSManuel Sánchez-Montañés
Manuel Sánchez-MontañésJGJavier Portela García-Miguel
Javier Portela García-Miguel
Journal Article
Ziwei ShuMLMiguel Llorens-Marin
Miguel Llorens-MarinRamón Alberto CarrascoMSMar Souto-Romero
Mar Souto-RomeroThe rapid growth of the internet and social media has made electronic word of mouth (eWOM) a key element of modern marketing. In the hospitality industry, nowadays, effective eWOM management is essential for developing impactful strategies and fostering customer satisfaction. This paper introduces an enhanced approach to strategic customer base management based on online reviews by extending the Recency, Frequency, and Monetary (RFM) model with three novel dimensions, the Helpfulness, Promoter Score, and Stability of the customer, thereby forming the RFHPS model. It also includes the 2-tuple linguistic model, one of the most popular computing with words models, to improve precision in the RFHPS score’s computation and the findings’ interpretability. Using K-means clustering, customers are segmented across these five dimensions. The data on luxury hotels in Spain gathered from TripAdvisor demonstrate the model’s applicability. By integrating this framework into customer relationship management systems, managers can tailor marketing strategies for distinct segments, facilitating deeper customer understanding and bolstering eWOM generation.
12 May 2023
Book Chapter
Ziwei ShuRamón Alberto CarrascoJPJavier Portela
Javier PortelaMSManuel Sánchez-Montañés
Manuel Sánchez-Montañés15 November 2023 in SN Computer Science
Journal Article
Ziwei ShuRamón Alberto CarrascoJPJavier Portela
Javier PortelaMSManuel Sánchez-Montañés
Manuel Sánchez-Montañés28 January 2026 in Discover Sustainability
Journal Article
Orlando Rua
Mario Arias-OlivaZiwei ShuMSMar Souto-Romero
Mar Souto-RomeroThe relationship between smart cities and open innovation has attracted growing interest from the scientific community. However, there is still a scarcity of empirical studies on the subject. This study presents a Systematic Literature Review (SLR) supported by Bibliometrix, an R-based tool for science mapping. Based on 61 documents (56 articles and 5 reviews), this study traces the development of the theme by identifying the most relevant journals, authors, citations, keywords, and emerging trends. The findings show that the motor themes are smart city, open innovation, co-creation, and e-government, and that the main trends in evolution are Internet of Things (2017), smart cities (2019), and open innovation (2019). This study contributes to the theoretical understanding of the intersection between smart cities and open innovation by mapping the intellectual structure, key contributors, and thematic evolution of the field. For practitioners, policymakers, and urban planners, the findings provide a strategic map to support evidence-based decisions on where to source cutting-edge research, build collaborations, and benchmark innovative practices.
About Me
Ziwei Shu is an Assistant Professor in the Faculty of Statistics at the Complutense University of Madrid (UCM) and currently serves as Dean's Delegate for Public Engagement and Institutional Relations. She holds a Ph.D. in Data Science (Extraordinary Doctoral Award), a Master's degree in Data Mining and Business Intelligence, and a Bachelor's degree in Commerce, all from UCM. She is a member of the UCM research group Data-Driven Decision Making for Organizations and Society, specializing in data science applications for business and economics, including customer analytics, recommender systems, and multi-criteria decision-making. She has published several research papers in international journals, with some being recognized as Editor's Choice Papers. She is also dedicated to mentoring students and actively participates in teaching innovation programs. She received the prestigious Best in Track Paper Award for Marketing Analytics, AI, and Machine Learning at a conference organized by the American Marketing Association (2023). Her outstanding research contributions also earned her First Prize at the 7th PhDay Contest at UCM (2023). She was also honored with the First Prize in the “Josefa Eugenia Fernández Arufe” 2024 Award for Best Young Researcher, awarded by the International Association of Applied Economics (ASEPELT). Furthermore, she received the Best Paper Award at the 5th International Conference on Artificial Intelligence and Knowledge Processing (AIKP 2025).