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Item type:Publication, Strategy formulation and service operations in the big data age: The essentialness of technology, people, and ethics(Springer Science and Business Media Deutschland GmbH, 2022-01-01)Studies have shown that the sensible operation of big data may yield powerful insights that can improve the organisations’ strategic decision-making process and contribute to achieving an enhanced competitive advantage. In this manuscript, we explore the promise of big data in redefining strategy in service operations management (SOM) by means of investigating a rich range of bibliographic material. The SOM field has a plethora of research opportunities to capitalise on, which are enhanced by the presence of big data. SOM research in the big data age implies a shift in attention from being increasingly integrative across themes to being integrative across multiple disciplines, requiring the expertise of and tuning between different actors and expertise domains. Our aim is to stimulate debate in the field and set out a renewed research agenda by means of calling for additional considerations of strategic aspects, namely technology, people, and ethics, that can help guide and move the field forward. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Characteristics and trends in big data for service operations management research: A blend of descriptive statistics and bibliometric analysis(Springer Science and Business Media Deutschland GmbH, 2022-01-01)The field of service operations management has a plethora of research opportunities to capitalise on, which are nowadays heightened by the presence of big data. In this research, we review and analyse the current state-of-the-art of the literature on big data for service operations management. To this aim, we use the Scopus database and the VOSviewer visualisation software for bibliometric analysis to highlight developments in research and application. Our analysis reveals patterns in scientific outputs and serves as a guide for global research trends in big data for service operations management. Some exciting directions for the future include research on building big data-driven analytical models which are deployable in the Cloud, as well as more interdisciplinary research that integrates traditional modes of enquiry with for example, behavioural approaches, with a blend of analytical and empirical methods. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Gini index: A modern measure of inequality(Springer International Publishing, 2022-01-01)The Gini index is the most widely accepted inequality measure across the Globe, with almost all governmental and international agencies using it to summarise income or wealth inequality in a nation or the world. Although originally developed to be a standardised measure of statistical dispersion intended to understand income distribution, the Gini index has evolved into quantifying inequity in all kinds of distributions of wealth, gender parity, access to education and health services, and environmental policies, among others. In this work, we present the original Gini index, as well as some of the various existent alternative Gini formulations, while also exploring various traditional and modern applications of the index in different settings, at national and international levels. We further discuss the implications of the traditional Gini index for international diplomacy and policymaking and conclude with some future directions on the topic. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The role of composite indices in international economic diplomacy(Springer International Publishing, 2022-01-01)As risks of all sorts, from economic and financial crises to terrorism acts and pandemics, keep on characterising and affecting all aspects of life globally, at the individual and societal level, national and international organisations, as well as governments, need to be constantly adapting and collaborating through international diplomacy to pursue common goals for people’s well-being. This is where the topic of composite indices comes up. Composite indices are used by national and international organisations, and governments and businesses alike, to monitor different performance aspects of the economy of a country and the people therein; and they have historically been valuable as communication tools and as inputs into decision and policymaking. In this work, we delve into the relevant literature to explore the link between international diplomacy, institutions, and composite indices, with the aim to highlight the usefulness of composite indices in practice. We conclude with final thoughts and recommendations for future research on the topic. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How do firm circular economy practices affect supply chain resilience from a sustainable development perspective?(Elsevier Ltd, 2026-08-01)Under increasing external uncertainty, promoting sustainable transformation and building data-driven supply chain resilience (SCR) supported by frontier technologies has become an important issue. This study uses Chinese A-share listed companies from 2005 to 2024 as the sample. From the perspective of frontier technologies, it employs text analysis and machine learning to identify large-scale unstructured annual report texts and quantify firm circular economy (CE) practices. SCR is measured using an entropy-weighted indicator system, and the relationship between CE practices and SCR is examined using panel regression models. The results show that CE practices significantly improve SCR, and the findings remain robust across multiple robustness and endogeneity tests. Mechanism analysis indicates that CE practices enhance SCR through three channels: resource effects, structural effects, and collaboration effects. Heterogeneity analysis reveals that the positive effect is more pronounced in non-state-owned firms, firms in non-heavy-polluting industries, high factor-intensive firms, and firms with active environmental information disclosure, as well as in regions with higher economic development and stronger governmental attention to green development, and in the period following the signing of the Paris Agreement in 2015. Further analysis shows that CE practices significantly improve the resistance dimension of SCR, while their effect on recovery is insignificant. Economic consequence analysis indicates that SCR enhancement driven by CE practices helps reduce operational risk and increase firm value. This study provides new empirical evidence on how CE practices strengthen SCR, and offers theoretical and practical implications for enabling sustainable supply chain development through frontier technologies and data-driven analytics. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Government subsidies, carbon quota prices, and spillover effects of carbon emissions: Insights from the EU carbon market(Elsevier B.V., 2026-09-01)This paper examines the dynamics of carbon quota pricing and emissions under government subsidies in the EU carbon market. The study reveals three core findings. First, carbon emissions, carbon subsidies, and carbon quota prices exhibit strong interconnectedness with pronounced seasonality, and spillover effects intensify during exogenous shocks, particularly at short-term frequencies within one to five days. Second, Germany consistently serves as the primary source of spillover effects, reflecting its energy-intensive industrial structure and dominant position in the EU Emissions Trading System, while carbon subsidies function as information receivers in the short term but maintain stable roles in the medium to long term under the EU's sustained climate commitments. Third, the COVID-19 pandemic fundamentally altered spillover patterns, with the EU industrial sector transitioning from a net transmitter to a net recipient of spillovers and carbon quota prices shifting to net recipients during the shock. These findings are derived from a stochastic differential game model that captures strategic interactions between governments and enterprises under exogenous shocks, combined with TVP-VAR spillover analysis that quantifies dynamic connectedness across time and frequency domains. The results enhance the understanding of carbon market mechanisms under policy interventions and external disturbances, offering insights for the development of more efficient and resilient carbon trading systems.