About ICEMBDA 2024

2024 5th International Conference on Economic Management

and Big Data Application （ICEMBDA 2024）

The 1st to 4th International Conference on Economic Management and Big Data Applications （ICEMBDA 2020-2023） has been successfully held in Tianjin Dalian Chengdu and other cities and has a good history of organizing conferences and publishing.

The 5th International Conference on Economic Management and Big Data Applications （ICEMBDA 2024） is scheduled to be held in Dalian China on October 25-27 2024.

The 5th International Conference on Economic Management and Big Data Application （ICEMBDA 2024） is an essential forum for researchers practitioners and educators to present and discuss the most recent innovations trends and concerns as well as practical challenges encountered and solutions adopted in the fields of economic management and big data analytics. Scheduled to be held in an era marked by rapidly evolving digital technologies ICEMBDA 2024 aims to bridge the gap between big data technologies and their practical implementation in economic management.

Background

The integration of big data analytics into economic management has revolutionized decision-making processes by enabling more precise evidence-based strategies that potentially lead to superior outcomes. As big data continues to grow in volume variety and velocity the necessity for its application in economic strategies and policies has never been more critical. ICEMBDA 2024 addresses this urgency acting as a pivotal platform for academic and industry professionals to synergize knowledge and foster advancements.

Conference Themes

ICEMBDA 2024 will center around a wide range of themes pertinent to the intersection of economics management and big data:

Big Data Analytics and Economic Forecasting - Utilizing big data in predictive analytics to forecast economic trends and inform policy making.

Data-Driven Decision Making in Business and Economics - Methods and technologies that support data-driven strategies in businesses and economic institutions.

Ethics and Privacy in Big Data - Addressing the ethical considerations and privacy concerns arising from extensive big data utilization in economic management.

Technological Innovations in Big Data - Exploring advancements in data processing AI and machine learning that enhance economic data analysis.

Impact of Big Data on Economic Policy and Management - Examining how big data has transformed public and private sector economics focusing on efficiency accuracy and compliance.

Case Studies on Big Data Applications in Various Economic Sectors - Success stories and lessons learned from applying big data solutions across different branches of economics.

ICEMBDA 2024 sincerely invites you to join us!

Important Dates

Full Paper Submission Date

October 5 2024

Registration Deadline

October 10 2024

Final Paper Submission Date

October 15 2024

Conference Dates

October 25 2024

Welcome to Join ICEMBDA 2024

As Author

If you would like to present your latest research at the conference and publish paper in ICEMBDA 2024 you are welcome to submit your full paper.

As Reviewer

To ensure the fairness and guarantee the quality of ICEMBDA 2024 We cordially invite experts and scholars join us as a reviewer.

As Listener

ICEMBDA 2024 is an unmissable conference. It is a good chance and an effective platform for you to meet many renowned experts and researchers in the field of the latest academic research. You are warmly welcome to attend this conference even if you do not need to present a paper.

As Presenter

If you are only interested in giving a presentation at the conference without publishing your paper in the proceedings you can choose to attend ICEMBDA 2024 as a Presenter. As a presenter you need to submit the Abstract your presentation.

Speakers

Keynote Speakers（Proposed invitation list）

Prof. Qile He

College of Business Law and Social Sciences University of Derby United Kingdom

Research Area: Inter-firm alliances and partnerships Innovation strategies and processes of organizations Sustainable and responsible business Inter-organizational knowledge transfer Supply chain optimization

Brief: Professor Qile He also known as Horace is a Professor of Strategy and Performance Management at the University of Derby UK and the Chair of the College Research Committee at the College of Business Law and Social Sciences.

He has previously held multiple research leadership roles at departmental school college and university levels. He was previously the Associate Head of School for Research of the School of Strategy and Leadership at Coventry University UK the interim Head of Research and Innovation at the College of Business Law and Social Sciences and the interim Theme Lead of the Business Economic and Social Policy Academic Theme of the University of Derby UK. He has held multiple mentorship roles for academics from around the world. He was also a research portfolio mentor for the Royal Docks School of Business and Law University of East London.

His research expertise and interests are in the area of interfirm alliances and partnerships innovation strategies and processes of organizations as well as sustainable and responsible business and inter-organizational knowledge transfer. He has published over 90 papers in refereed journals books and leading international conference proceedings. Including prestigious international journals such as British Journal of Management International Journal of Operations and Production Management European Management Review International Journal of Production Economics International Journal of Production Research Supply Chain Management: An International Journal Production Planning & Control and Food Control. He was a selected member of staff for RAE2008 REF2014 and REF2021. He has supervised multiple PhD candidates to completion.

He is a council member of the British Academy of Management. He is also a Senior Fellow of the Higher Education Academy and a Chartered Member of the Chartered Institute of Logistics and Transport. He is a reviewing expert for European Commission Horizon projects. He

He is a council member of the British Academy of Management. He is also a Senior Fellow of the Higher Education Academy and a Chartered Member of the Chartered Institute of Logistics and Transport. He is a reviewing expert for European Commission Horizon projects. He serves on the editorial board of multiple international journals. He is also an editorial review board member for the International Journal of Operations and Production Management （CABS 4*）. He is also an active external examiner for multiple universities in the UK Ireland and China.

title of Keynote Speech: Managing Inter-firm Collaboration in a Digitalized World

Abstract: Over the last three decades the world’s technologies – especially in the area of information and communication technology （ICT） – have been advancing at an exponential rate. This unprecedented advance is regarded as digital transformation in which the capacity of data processing and storage has expanded dramatically. This has allowed increasingly sophisticated digital applications to be possible such as cloud-based applications Internet of Things （IoT） 3D printing big data analytics machine learning blockchain digital product service integration （also known as servitization） and other related emerging Industry 4.0 aspects. In this keynote Prof. Qile He will reflect on the inter-firm collaborations in the emerging digitalized world. He will discuss about the new business environment surrounding firms and their partners and the emerging technological development such as blockchain open innovation and cloud computing that will affect the future development of inter-firm collaboration. He will also reflect on the theoretical underpinnings that will inform the research development in this important area of research.

Prof. Yanling Zhang

Business School Tianjin University of Finance and Economics China

Research Area: Cultural Heritage based Tourism Development; Tourism Resource Management; Conference and Event Tourism Tourism Economics Tourism Corporate Management Resource and Environmental Management and Tourism Ethics and Corporate Social Responsibility.

Brief: Ph. D from TU Freiberg Germany; currently working as a professor and the deputy director of tourism management department Business School Tianjin University of Finance and Economics. Her research focus includes Cultural Heritage based Tourism Development; Tourism Resource Management; Conference and Event Tourism Tourism Economics Tourism Corporate Management Resource and Environmental Management and Tourism Ethics and Corporate Social Responsibility.

title of Keynote Speech: On the Tourism based Protection of Intangible Cultural Heritages In the Big Data Era

Abstract: Up to date many countries have actively explored various modes for the protection of intangible cultural heritages with the assistance of big data and cultural tourism and achieved a lot of successful experiences. For example the “fairy tale journey” promoted in Germany is undoubtedly a success case. Through big data analysis the German National Tourism Committee designed a unique cultural tourism route based on Grimm’s Fairy Tales and named it the “Fairy Tale Tour”. based on more than 70 fairy tales the fantastic “fairy tale journey” attracts thousands of tourists to Germany. It not only brings hundreds of millions of euros to Germany but also contributes largely to promote German culture throughout the world by tourists. It provide references for tourism based culture heritage protection in China.

In this presentation we will discuss main factors affecting the protection and inheritance of intangible cultural heritage based on tourism development clarify various stakeholders in the process of promoting intangible cultural heritage and their demands in the process of cultural protection and inheritance. Through creative and targeted tourism activities developed based on intangible cultural heritage economic and social benefits can be created the government’s financial investment in the protection and inheritance of intangible cultural heritage can be reduced while the independent inheritance and spontaneous promotion of intangible cultural heritage in the era of big data can be achieved.

Assoc. Prof. Jing Liu

Tianjin University of Finance and Economics China

Research Area: Text Mining and Time Series Forecasting

Brief: Liu Jing has been engaged in research on data-driven decision-making particularly in data-driven predictive model in operations management and text mining. She was selected for the Tianjin High-level Talent Support Program for Young Scholars and the Tianjin “131” Innovative Talents Training Program. She is a PI of one National Natural Science Foundation Project and one China Postdoctoral Science Foundation project. She has published over 10 papers which have been indexed by SCI/SSCI/EI.

title of Keynote Speech: Data-driven Models for Retail Management

Abstract: Data driven and relation-empowered predictive retail management has gained increasing attention. In this talk we will provide two studies. First given social media provides customers with great opportunities to share their opinions regarding certain products and services we utilize textual reviews to identify products’ competitors. Specifically （1） we propose a novel textual data augmentation method for identifying comparative text from user-generated content; （2） we conduct comparative relation extraction to extract comparative subject object aspect and result; （3） we build corresponding comparative graph for competitive products and refine the graph via entity disambiguation. Second we leverage multivariate time series data to predict future sales of drugstores in China. Specifically forecasting retail sales accurately is important for supporting strategic tactic and operational decisions. Interdependencies among groups of time series are ubiquitous in real scenarios. However previous research either completely ignores or fails to exploit these cross-series dependencies effectively and efficiently. This study develops an innovative deep learning framework for long-term sales forecasting of retail drugstores. A novel graph neural network module is designed and developed for relational time series forecasting to capture cross-series （i.e. global） patterns. Moreover we design a multi-source fusion module to fuse global patterns specific temporal patterns of each time series and context features.

Assoc. Prof. Raja Zuraidah RM Rasi

Universiti Tun Hussein Onn Malaysia Malaysia

Research Area: Green Supply Chain Management Halal Supply Chain Quality improvement tools

Brief: Dr Raja Zuraidah Rasi is an Associate Professor of Supply Chain and Operations Management at Universiti Tun Hussein Onn Malaysia. She received her Bachelor of Technology Management majoring in Manufacturing from the Universiti Teknologi Malaysia. She holds a PhD in Industrial Sciences from Swinburne University of Technology Melbourne Australia. Her research interests include sustainable supply chain sustainability and operations performance. Her more recent work has been on sustainability in supply chain and improving operations process through concepts such as root cause analysis critical chains and lean systems. Dr Raja Zuraidah can be contacted at rzuraida@uthm.edu.my

title of Keynote Speech: Disaster Relief Supply Chain: A way to Understand and Improve Performances on Preparedness and Recovery

Abstract: The scope of damages and total economic loss resulting from acute naturaldisasters extreme weatherand climatic events are undisputed. Following the disasters the risks of damage and losses continues togrow and needs immediate attentions from stakeholders which may caused chaotic in preparedness andburden to the organizations as well as stakeholders. A disaster relief supply chain support the disastermanagement in four phases which include mitigation preparation response and reconstruction.However a preliminary literature survey revealed that research in this area is patchy and that there is no suitable framework has been develop to assimilate best practices emerging from various studies toformulate a framework which enable all stakeholders to work together to create an efficient cost–effective and integrated disaster relief supply chain. We will explore the Disaster Relief Supply Chains bya case study approach inMalaysia. The objective would be exploring the area in terms of coordinationperformance measurements procurement response planning preparedness and knowledge management in the disaster management supply chains. It is expected that at the end of this study the research work will fill the gap by developing astreamlined and integrated framework for global disaster relief chain.

Call For Papers

Topics of interest include but are not limited to

Economics

· Finance and Trade

· Macroeconomics

· consumer behavior

· E-commerce and Digital Services

· Agriculture and Forestry Economy

· Economic and industrial development

· Financial Management and Accounting

· International Economy and Global Trade

· Economic Statistics Issues under Big Data

· Predictive Models and Economic Research

· Econometric models and empirical problems

· Blockchain Technology and Regional Economy

· Natural Resource Economics and Management

· Sustainable Economy and Low Carbon Economy

· Rural Economic Construction and Transformation

· Information Economy and Enterprise Management

· Performance evaluation and modeling applications

· The Model and Path of Sustainable Economic Development

Management

· social management

· management science

· financial management

· business management

· supply chain management

· administrative management

· Operations and Management

· Enterprise Trade Management

· Big Data and Cloud Computing

· Enterprise Business Management

· management information systems

· Enterprise Marketing Management

· customer relationship management

· International business management

· Enterprise operation and management

· Strategic Human Resource Management

· Intelligent Management Information System

· Public Management in the New Economic Era

· Enterprise Development and Strategic Marketing

Big Data

· Data driven

· data warehouse

· IoT big data applications

· Model fitting and data analysis

· Model fitting and data analysis

· Visualize large-scale security data

· Computers and Artificial Intelligence

· Service computing big data application

· Analysis of Multimedia Data Applications

· Intelligent agent modeling and 3D modeling

· Software and tools for big data management

· Mathematical models and regression analysis

· Big Data Encryption and Security Applications

· Big Data Analysis of Business Model Innovation

· Database management and information retrieval

· Big data analysis of enterprises governments and society

· Data mining data warehousing and knowledge discovery

· Algorithms and programming techniques for big data analysis and processing

Journal Recommendation

Dear colleagues we would like to introduce an excellent journal genuinely:

The Journal of Consumer Affairs （JCA），Online ISSN:1745-6606，Print ISSN:0022-0078indexed in O4 of BUSINESS SSCI edition in Q2 of ECONOMICS.

The Journal of Consumer Affairs （JCA） founded in 1967 by the American Council on Consumer Interests is the premier journal devoted to peer-reviewed multidisciplinary research about the interests of consumers.

More information about this journal please visit via official website

Manuscripts that have been deemed to be in line with the JCA journal by the conference secretary team will be recommended to the journal and the special issue of the JCA is also calling for papers:  emerging technologies and consumer well-being