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Mar 28, 2024

Analysis of English Teaching Mode Innovation in Colleges and Universities under the Perspective of Big Data

This article discusses in depth the innovation strategy of English teaching mode in colleges and universities under the perspective of big data, aiming at solving the challenges faced by the traditional teaching mode in the era of information technology. The article firstly puts forward the main problems existing in the current English teaching in colleges and universities, including the dispersion of learning resources, students’ insufficient knowledge of English learning and inappropriate learning methods. Subsequently, three major innovative strategies are proposed: using big data to optimise the design of personalised learning paths, constructing data-driven teaching content and assessment systems based on data, and promoting the integration of collaborative learning and practical applications. Through real-life case studies, the paper demonstrates how these strategies can be implemented in concrete terms and discusses their positive impacts on improving teaching efficiency, enhancing learning experiences, and fostering students’ comprehensive English application skills. Finally, it summarises the important role of big data technology in the innovation of English teaching in colleges and universities, and looks forward to the future development trend of the teaching model. This paper provides innovative ideas and practical guidance based on big data technology for the field of English teaching in colleges and universities, aiming to promote the continuous improvement of education quality and optimisation of learning effects.

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Apr 19, 2024

Innovative frontiers: Post-quantum perspectives in healthcare and medical imaging

The growth of computer power is crucial for the development of contemporary information technologies. Artificial intelligence is a powerful instrument for every aspect of contemporary science, the economy, and society as a whole. Further growth in computing potential opens new prospects for biomedicine and healthcare. The promising works on quantum computing make it possible to increase computing power exponentially. While conventional computing relies on the formula with 2ⁿ bits, the simplified vision of quantum computer power is 2^N, where N is a number of logical qubits. With thousandfold or more improvements in computing performance, there will be realistic options for quick protein, genes and other organic molecules 3D fold discoveries, empowering pharmaceutics and biomedical research. Personalized blockchain-based healthcare will become a reality. Medical imaging and instant healthcare data analysis will significantly speed up diagnostics and treatment control. Biomedical digital twin usage will give useful tools to any healthcare practitioner, with options for intraoperative AR and VR micro-manipulations. Nanoscale intrabody bots will be instantly customized and AI-controlled. The smart environment will be enriched with multiple sensors and actuators, giving real control of the air, water, food, and physical health factors. All these possibilities are quickly achievable only in the case of realistic quantum computing options. Even with the ability to reach this stage, there will be questions for the stability of post-quantum society: privacy, ethical issues, and quantum computing control uncertainty. General solutions to these queries will give clues for post-quantum healthcare.

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Jun 28, 2024

Balancing data-driven insights and human judgment in supply chain management: The role of business intelligence, big data analytics, and artificial intelligence

Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within the realm of Supply Chain Management (SCM). While the integration of these technologies has promised improved operational efficiency and decision-making capabilities, concerns about complexities and potential overreliance on technology persist. The study aims to provide insights into achieving a balance between data-driven insights and qualitative factors in SCM for sustained competitiveness. Design/methodology/approach: The research executed interviews with ten Arab Gulf-based consulting firms. These companies’ ability to successfully complete BI projects is well recognised. Findings: Through examining the interplay of human judgement and data-driven strategies, addressing integration challenges, and understanding the risks of excessive data reliance, the research enhances comprehension of the modern SCM landscape. It underscores BI’s foundational role, the necessity of balanced human input, and the significance of customer-centric strategies for lasting competitive advantage and relationships. Practical implications: The research provided information for organizations seeking to effectively navigate the complexities of integrating data-driven technologies in SCM. The research is a foundation for future studies to delve deeper into quantitative measurement methodologies and effective data security strategies in the SCM context. Originality: The research highlights the value of integrating BI, BDA, and AI in SCM for improved efficiency, cost reduction, and customer satisfaction, emphasising the need for a balanced approach that combines data-driven insights, human judgement, and customer-centric strategies to maintain competitiveness.

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Aug 27, 2024

Logistics SMEs’ marketing budget re-engineering for sustainable digital marketing development

Nowadays, the survival and sustainability of SMEs and the promotion of their services have become key goals for the economic growth of many countries. Logistics SMEs seek to improve their digital marketing development, by managing the re-engineering process of their marketing budget. To achieve this goal, logistics SMEs should capitalize on big data from their websites that are capable of depicting their digital development level. The authors selected 5 SMEs from the logistics sector and collected big data from their websites for 365 days. Then, statistical analysis tools (correlation and linear regression models), as well as Fuzzy Cognitive Mapping (FCM) models were utilized. It is highlighted that various marketing budget levels affect the digital development of logistics SMEs differently. More specifically, a marketing budget of 500$ to 2500$ could bring more users (new and returning) to logistics SMEs’ websites, but only if the investments transcend 5000$ could help these firms rank higher in the search engines (authority score). Thus, logistics SMEs could simulate the course of specific digital development metrics by setting the desired levels of their marketing budget.

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Sept 3, 2024

Big data and supply chain crisis financial risk management: A bibliometric review

The presence of a crisis has consistently been an inherent aspect of the Supply Chain, mostly as a result of the substantial number of stakeholders involved and the intricate dynamics of their relationships. The objective of this study is to assess the potential of Big Data as a tool for planning risk management in Supply Chain crises. Specifically, it focuses on using computational analysis and modeling to quantitatively analyze financial risks. The “Web of Science—Elsevier” database was employed to fulfill the aims of this work by identifying relevant papers for the investigation. The data were inputted into VOS viewer, a software application used to construct and visualize bibliometric networks for subsequent research. Data processing indicates a significant rise in the quantity of publications and citations related to the topic over the past five years. Moreover, the study encompasses a wide variety of crisis types, with the COVID-19 pandemic being the most significant. Nevertheless, the cooperation among institutions is evidently limited. This has limited the theoretical progress of the field and may have contributed to the ambiguity in understanding the research issue.

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Nov 7, 2024

Research on innovation of basic accounting work in Universities in the Era of Big Data

With the rapid progress of cutting-edge technology, digital life has penetrated into all aspects of the public’s daily life and workplace work. As the foundation of financial work, the basic functions of accounting have also experienced the baptism of the era of big data. Big data not only brings challenges to traditional accounting functions, but also opens up new development space and promotes the continuous optimization of basic accounting functions. Based on this, this paper mainly discusses and analyzes how the basic accounting work of colleges and universities can carry out innovation under the background of big data era.

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