The 6th International Conference on Modern Management based on Big Data (MMBD 2025)

Abstract: Traditional e-learning model uses web2.0 for knowledge acquisition, distribution, sharing, and presentation. The limitation of the existing e-learning model is lack of knowledge experience generation, knowledge relating, filtering and innovation creation for wisdom management. To facilitate learner's learning from information to wisdom, some recent technologies such as Web6.0, naked-eye 3D and metaverse can improve the learner's learning experience. This presentation mainly focuses on the review of current web technologies from web1.0 to web6.0, and discusses how the advanced technologies of naked eye 3D and metaverse creating a new evolution in future meta-learning environment.

Biography: Dr. Adela Lau is the Deputy Director of HKU SAAS Data Science Lab, Division of Statistics and Actuarial Science, School of Computing and Data Science of the University of Hong Kong. Dr. Lau published over 60 journal and conference papers and funded over 50 research and industrial collaboration and consultancy projects in the area of machine learning, business intelligence, text analysis, network analysis, social media and big data analytics, AI and Mixed Reality in metaverse, intelligence applications, risk management, information system adoption, ontology/taxonomy building, business process re-engineering, portal design, knowledge management, e-learning, public/community health studies, healthcare systems and nursing clinical quality control & assessment. She gained several awards including NANDA Foundation Research Grant Award (USA), Faculty Merit Award in Services (HK), and Inaugural Teaching and Learning Showcase Award (HK). She was the former director of Center for Business Development at Madonna University in USA, and the co-director of the Center for Integrative Digital Health at Hong Kong Polytechnic University (PolyU) and leaded the IT team for healthcare product innovation. Dr. Lau was an active committee member of Knowledge Management Research Center at PolyU and Data Science Center at Hong Kong University of Science and Technology (HKUST), in which she initiated and developed industrial applied-research consultancy projects. She was also the UG coordinator of the Risk Management and Business Intelligence Program at HKUST, and was responsible to lead, execute, and coordinate the program works including curriculum design, enrichment programs, and administration across three schools of business, science, and engineering.

Abstract: The nature of management is undergoing a fundamental transformation in response to the rise of generative artificial intelligence. AI technologies are increasingly augmenting human capabilities, reshaping decision-making processes, and accelerating innovation across industries. At multiple levels—macro, meso, and micro—AI enables hybrid collaboration between human and artificial agents, drives productivity gains, and decentralizes entrepreneurial activities within organizations. The integration of AI into strategic processes strengthens dynamic capabilities and fosters more adaptive, data-driven approaches to leadership. Rather than replacing human judgment, AI redefines it—shifting the managerial role toward orchestrating value creation in human–AI systems. Understanding and navigating this shift is essential for organizations seeking to remain competitive and innovative in an increasingly AI-enhanced business landscape.

Biography: Prof. Dr. Dominik K. Kanbach is Full Professor and holder of the Chair of Strategic Entrepreneurship at HHL Leipzig Graduate School of Management in Germany. He leads the Strategic Entrepreneurship Research Group at HHL and serves as Academic Director of DIGITAL SPACE – The HHL Digital Transformation Platform focused on incubating digital business models. His research interest covers the fields of strategic management, entrepreneurship, and innovation management. He has published over 100 articles in leading international peer-reviewed journals and holds several editor positions. Before joining academia, he worked as a strategy consultant for several years. He teaches courses on strategic management, entrepreneurship and innovation management in top universities and business schools around the world. He has received numerous research and teaching awards and the leading German business magazine “Wirtschaftswoche” ranked him among the top 2% of scholars in December 2024.

Abstract: The presentation starts by introducing the concepts of Data Mesh, Transfer and Real-Time Learning and Scalable Algorithms. The next part of the presentation is centred on innovation-Innovation Ecosystems, Cognitive Automation, Open Innovation 3.0, Voice Search Optimisation, Antifragile Innovation Systems and Liquid Innovation. Other topics that will be covered include Synthetic Data, Data as a Service, AI Coding and Auto Machine Learning. The keynote ends by analysing some of the most recent advances in AI-Operator, DeepSeek, Hover and Majorana, apart from important related concepts like Robotics Zero-Shot Transfer, Agentic AI and Human Factor Engineering.

Biography: Prof. Luiz Moutinho is Visiting Professor of Marketing at School of Technology, Business and Arts, University of Suffolk, UK, and at The Marketing School, Portugal.
In 2020 he was elected as the member of The Academia Europaea. In 2017 he received a degree of Prof. Honoris Causa from the Univ. of Tourism and Management Skopje, North Macedonia. In 2024 was rated among the 100 best scientists in Business and Management by Research.com.
During 2015 - 2017 he was a professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 36 years and held posts at CardiffBusiness School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia, Fiji and Cyprus.
Between 1987 and 1989 he was the director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the CardiffBusiness School between 1993 and 1996. He was director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004.
Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal. He has another 4 associate editorships as well as being in the editorial boards of another 47 international academic journals.
His areas of research interest encompass marketing and management futurecast, artificial intelligence, biometrics and neuroscience in marketing, futures research algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour and tourism futurecast. He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic.
Prof. Moutinho has given keynote speeches, lectures, seminars, talks, etc. in 52 countries worldwide. Prof. Moutinho has 40 books published, over 161 articles published in refereed academic journals.

Abstract: Against the backdrop of the global economic digital transformation, new-quality productive forces are gradually becoming the core driving force for reshaping the business competition landscape. As a product of revolutionary technological breakthroughs and in-depth industrial upgrades, they bring unprecedented opportunities and challenges to business technology application innovation. With the rapid development of science and technology, high-tech such as big data, artificial intelligence, and blockchain continue to emerge, driving the transformation of the quality of productive forces. The wide-spread application of these technologies has not only changed traditional production methods but also given birth to new business models and formats, injecting new vitality into the business field.
At the policy level, governments around the world have introduced relevant policies to encourage scientific and technological innovation and industrial upgrading. The Chinese government attaches great importance to the development of new-quality productive forces and has put forward a series of strategic measures, such as the "Innovation-Driven Development Strategy", aiming to promote the in-depth integration of scientific and technological innovation and the real economy, accelerate the formation of new-quality productive forces, and promote business innovation and development.
Beijing Wuzi University is based on the new development stage and vigorously cultivates new-quality productive forces, driving business innovation and development through scientific and technological innovation. By building four strategic fulcrums, namely, a modern circulation system, smart commerce, a unified national market, and strengthening business brand building, it promotes the innovative development of business technology applications, serves the national business development strategy, and contributes to the realization of an "innovation-powerful country".

Keywords: Business, Innovation and Development, Intelligent and digitalized Technologies

Biography: As an expert with special allowance from the State Council and a famous teacher in Beijing, Prof. Chen is currently Dean of Business School at Beijing Wuzi University and doctoral supervisor of the University of International Business and Economics, as well as a deputy director of the Education Guidance Committee of the Ministry of Education for e-commerce majors in colleges and universities, a consultant expert on the establishment of national e-commerce demonstration cities, a chief expert on cross-border e-commerce of China Association of Foreign Trade and Economic Cooperation Enterprises, and an expert on the Digital Economy Committee of China Association of Foreign Investment Enterprises.
He presided over and completed more than 50 national and provincial projects in China, and published more than 100 papers, over 20 textbooks and works.
He mainly engaged in research and practice of trade digitalization, e-commerce and modern service industry.