2024年第四届工商管理与数据科学国际学术会议

About BADS 2024

2024 4th International Conference on Business Administration and Data Science

2021 International Conference on business administration and Data Science （BADS 2021） was held in Hangzhou China from October 22 to 24 2021.

2022 2nd International Conference on Business Administration and Data Science（BADS 2022）was held in Kashgar Xinjiang China from October 28 to 30 2022.

2023 3rd International Conference on Business Administration and Data Science（BADS 2023）will be held in Kashgar Xinjiang China from October 20 to 22 2023.

In the current situation of rapid economic development the competition in the market is increasingly fierce. The drawbacks of traditional enterprise management and the backward management concept have seriously hindered the normal development of enterprises.

In order to improve their competitive advantages and market share enterprises must optimize their management methods and build a modern business administration system. In this situation enterprises can only promote their development process by improving their business management mode and formulating scientific business management policies.

Data science is one of the most important tools for optimizing business administration.

Data science is an interdisciplinary field that uses scientific methods processes algorithms and systems to extract value from data. Data scientists use a combination of skills （including statistics computer science and business knowledge） to analyze data collected from the Web smartphones customers sensors and other sources.

Data is the cornerstone of innovation and data scientists gather information from data discovering hidden trends from raw data and generating insights that companies can use to transform business problems into research projects that can then be translated back into practical solutions.

based on this BADS 2024 discusses the state of modern business administration and the corresponding improvement measures in the context of the current reality and

It also provides a platform for scholars in related fields to exchange and share information discuss how the two affect each other and promote the modernization of business administration by studying certain business administration issues.

To open new perspectives broaden horizons and examine the issues being discussed by the participants.

Create an international-level forum for sharing research and exchange that will expose participants to the latest research directions results and content in different fields thus inspiring them to come up with new research ideas.

We warmly invite you to attend BADS 2024 and look forward to meeting you in Chongqing China.

Welcome to Join BADS 2024

Join 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 BADS 2024 as a Presenter. As a presenter you need to submit the Abstract your presentation.

Join as Listener

BADS 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.

Important Dates

Full Paper Submission Date

September 25 2024

Registration Deadline

October 05  2024

Final Paper Submission Date

October  15  2024

Conference Dates

October 25-27 2024

Speakers

Assoc Prof. Tan Swee Chuan

Singapore University of Social Sciences Singapore

Research Area: Business Analytics; Decision Tree; Anomaly Detection; Ensemble Learning; Clustering.

title of Keynote Speech: From Chaos to Clarity: Applying Analytics with BDA-MAP

Abstract: This talk presents the Business-Data-Analytics （BDA） Mind-Mapping approach for Analytics Projects （MAP） management. BDA-MAP offers a flexible methodology to managing analytics projects by focusing on aligning business objective data requirements and application of appropriate analytics techniques. Unlike traditional sequential process-oriented methodologies such as CRISP-DM or SEMMA BDA-MAP is agile and allows a quick response to issues encountered during the planning and execution of real-world analytics projects. The methodology allows analysts and end-users to collectively refine their understanding of a project at hand and enhance it iteratively. The talk illustrates the effectiveness of the BDA-MAP approach through real-world case studies in visual analytics customer segmentation and predictive analytics demonstrating how this methodology can uncover actionable insights that drive improved business performance. In the digital era adopting an agile and flexible analytics approach like BDA-MAP is essential for organizational success. If time permits this talk will also cover how this framework has been used to design an undergraduate degree programme in Business Analytics

Assoc. Prof. Minyue Jin

Chongqing University China

Research Area: Supply chain management sustainable operations marketing‐manufacturing interface

Brief: Dr. Minyue Jin received her Ph.D. from University of Science and Technology of China and had been a visiting postdoc at University of California San Diego. In 2018 she joined Chongqing University under the “One-hundred Talents Program”. Her research interests include sustainable operations and supply chain management consumer behavior and marketing strategies. Jin has been published in numerous journals including Manufacturing & Service Operations Management （UTD 24） European Journal of Operational Research Omega International Journal of Production Research and International Journal of Production Economics.

title of Keynote Speech: Choice of Electronic Waste Recycling Standard Under Recovery Channel Competition

Abstract: We consider two competing electronic waste （e-waste） recovery channels each of which consists of a collector and a recycler. Collectors obtain donated e-waste and sell the collected items to recyclers or in the secondary market whereas recyclers process e-waste and sell the recycled material in the commodity market. Each recycler chooses for certification of one of two standards: e-Stewards or Responsible Recycling （R2）. E-Stewards requires comparably more responsible handling thus a higher processing cost but attracts more e-waste from environmentally conscious donors. We find that competition between recovery channels is a key factor motivating e-Stewards adoption whereas a recycler always chooses R2 in its absence. Interestingly when competition exists both within and between recovery channels recyclers with strong e-waste processing scale economies choose e-Stewards when incurring significantly higher processing costs than with R2. Furthermore both the total environmental benefit and welfare might be higher when recyclers choose R2. Managerial implications: Policy makers who aim to encourage e-Stewards adoption should （1） lower entry barriers for new recyclers to induce competition and （2） offer incentive programs to alleviate e-Stewards’ cost disadvantage though only when recyclers have weak scale economies. Policy makers and nongovernmental organizations however should exercise caution in endorsing e-Stewards because R2 actually may generate a higher environmental benefit because of higher recycling volumes.

Assoc. Prof. Wanying Chen

Logistics Department Zhejiang Gongshang University China

Research Area:Automated warehouse Queuing theory Reinforcement Learning Logistics

Brief:

2007 to 2011 B.E. in Computer Science Northwestern Polytechnical University

2011 to 2012 Master in Automation INSA de Lyon France

Nov 2013 to Sept 2014 Research Assistant （Internship） Cirrelt Ulaval Canada

2012 to 2015 Ph.D. in Computer Science and Mathematica School INSA Lyon Logistics management

? Aug 2016 to Dec 2020 Assistant Professor Zhejiang Gongshang University China

? 2021 to now Associate Professor Zhejiang Gongshang University China

title of Keynote Speech: How does the battery management impact the performance of the automated warehouse? Performance evaluation in a self-climbing robotic warehouse

Abstract: Our research is motivated by the battery management in a new robotic warehouse the compact self-climbing robotic （CSCR） system which is different from previous compact warehouses and robotic warehouses. This system fully depends on the battery powered robots for the tote movement. Therefore the battery management plays an important role and considerably impacts the system performance of the robotic warehouse. This paper optimizes the battery management in the CSCR system by establishing semi-open queuing networks （SOQNs）. The analytical models are solved by the approximated mean value analysis and are validated by simulation models. We find several interesting managerial insights: （1） Although the fast charging can decrease the throughput time with the increase of the charging cycles the slow charging may outperform the fast charging. （2） The system is more sensitive to the battery charging policy （priority charging policy or the first-come-first-service charging policy） than the battery charging technologies （fast charging or slow charging）. （3） Although the robot blocking is regarded as an important factor which may impact the system performance the battery management has a stronger impact than the robot blocking especially for the large size system. But the impact of the robot routing is larger than the robot battery management. Our models can help the decision makers to （i） choose the charging technology fast charging or slow charging to decrease the throughput time under different scenarios; （ii） decide the suitable charging policy for the system with different charging technologies; （iii） determine the optimal charging station number and the optimal robot number.

Assoc. Prof. Dr. Shafie Mohamed Zabri

Department of Business Management Universiti Tun Hussein Onn Malaysia Malaysia

Research Area: Small Business Financing Behavioural Finance Entrepreneurship Financial Management Capital Structure Corporate Governance Working Capital Management

Brief: Shafie is currently the Dean of the Faculty of Technology Management and Business at Tun Hussein University of Malaysia （UTHM）.

Prior to this appointment he was seconded to the Ministry of Higher Education Malaysia （MOHE） as the Director of Education Malaysia London for 4 years. He oversees the internalisation activities between higher education institutions in Malaysia with higher education institutions in United Kingdom Ireland and the European region. Apart from that Education Malaysia London also oversees the development and wellbeing of Malaysian students in UK Ireland and Europe as well as the management of Education Malaysia offices in London Belfast and Dublin.

Shafie started his academic career with the Faculty of Finance and Banking Universiti Utara Malaysia in 2003. Prior to his secondment to the MOHE in October 2018 Shafie was an Associate Professor in the Department of Business Management at Universiti Tun Hussein Onn Malaysia. He joined UTHM since 2007 during which he was appointed as the Head of Department Deputy Dean （Academic and International） and Deputy Director of Innovation and Commercialisation Centre.

He earned his PhD in Business （with Management） from University of Plymouth United Kingdom. He received a degree in Business Administration from Universiti Utara Malaysia （UUM） and a Master in Business Administration from the National University of Malaysia （UKM）.

title of Keynote Speech: Development of Sustainable Financial Management framework for Agile and Resilient Micro Small and Medium Enterprises （Msmes）

Abstract: In recent years the incorporation of sustainability into financial management emerged as an essential element of business strategy and has garnered considerable attention. Micro Small and Medium-Sized Businesses （MSMEs） are of utmost importance to the global economy as their financial sustainability is essential to their continued growth and survival. This study aims to provide a comprehensive analysis of the framework associated with sustainable financial management practices in the context of MSMEs. In order to maintain the long-term viability of small firms it is imperative to establish a comprehensive framework comprising sustainable financial management practices. The five fundamental components of sustainable financial management practices are budgeting financial reporting cash flow management risk management and sustainability. Each of these factors is thoroughly assessed in light of the context and actual practices of MSMEs. In order to accurately represent the overall framework a subsequent index of significance will be developed and then incorporated into the sustainable financial management index （SFMI）. This index aims to provide a framework for evaluating the sustainable financial management practices of MSMEs. This is hoped to enable enhanced provision of financial assistance for MSME that aligned with their objective development and in turn increasing their agility and resilient. This is also helping the governments specifically in providing much needed financial support and assistance for MSMEs.

Call For Papers

*All papers both invited and contributed will be reviewed by two or three experts from the committees. After a careful reviewing process all accepted papers of BADS 2024 will be published in conference proceedings and submitted to Inspec and CNKI for indexing and where applicable also submitted to Ei Compendex and Scopus （Subject to acceptance）.

The topics of interest for submission include but are not limited to:

· Business Administration :

Marketing Management

Financial management

Operation management

Financial technology

Digital Management

Human resources management

Intelligent management system

Economic Management and Analysis

Modernization of enterprise management

Logistics and Supply Chain Management

Blockchain technology and regional economy

· Data Science :

Machine learning

Data mining

Data analysis

Data visualization

Health data science

Intelligent Manufacturing System

Data privacy protection

Model fitting and data analysis

Forecasting model and economic research

· Business Administration and Data Science:

Data-driven market segmentation and customer analysis

Financial data analysis and risk management

The Application of Artificial Intelligence in Employee Recruitment and Performance Evaluation

Big data analysis in logistics and supply chain

The Application of Deep Learning in Business Prediction

Intelligent recommendation system and consumer behavior analysis

Data visualization technology and practice for business decision-making

The application of blockchain in financial transactions and compliance management

Big data analysis and management in the medical industry

Intelligent manufacturing and data processing under the background of Industry 4.0

Legal challenges and solutions to data sharing and personal privacy

Ethical considerations and social impacts in the application of artificial intelligence

Publication

● All papers both invited and contributed will be reviewed by two or three experts from the committees. After a careful reviewing process all accepted papers of BADS 2024 will be published in ACSR-Advances in Computer Science Research （ISSN: 2352-538X） and submitted to Inspec and CNKI for indexing and where applicable also submitted to Ei Compendex and Scopus （Subject to acceptance）.”

Note: All submitted articles should report original research results experimental or theoretical not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.