The Digital Accounting Laboratory (DALab) serves as a research hub dedicated to exploring how cutting-edge artificial intelligence (AI), data analytics, and automation can transform accounting, finance, and related fields. DALab bridges academic theory and industry practice through the development of advanced analytical tools, applied research with industry relevance, and experiential learning programmes for students and faculty.
Patents and Tools
DALab holds four registered patents to date:
Customised Document Generator – Streamlines the generation of tailored operational documents for businesses.
Duplicates Identification Software – Identifies and removes data redundancies using pattern-recognition algorithms.
Luckdraw Software – Enables transparent automated random draws for promotional campaigns.
Research Projects
External Funding
Suzhou Science and Technology Development Planning Programme (Soft-Science Research Project): Investigating the Relationship Between Innovation Clusters and Digital Transformation from a Polycentric Governance Perspective
Key Special Funding (KSF): Effective Credit Risk Management for Chinese SMEs in High-Tech Sectors: A Deep Learning–Based Approach
Teaching Development Fund (TDF) Projects
Optimising Learning Outcomes with AI-Enhanced Support in High Cognitive Load Modules
Interactive Simulation for Financial Risk Assessment
Managing Cognitive Load in Introductory Programming Modules with Animated Microvideos
Research Development Fund (RDF) Projects
Efficient Portfolio Management and Performance Prediction: Integrating AI into China’s Stock Market
The Impact of China’s Market Liberalisation on Cross-Border Mergers and Acquisitions: Evidence from Textual Analysis
External Collaboration
In March 2025, DALab formalised a technology development partnership with Schindler (China) Elevator Co., Ltd., focusing on AI and robotic process automation (RPA) tools to enhance operational efficiency and data-driven decision-making. This collaboration enriches DALab’s teaching and research with practical industry case studies.
Student Involvement and Activities
DALab fosters undergraduate research through its Summer Undergraduate Research Fellowship (SURF) programme, hosting over ten student-led projects since 2022. These initiatives allow students to develop AI and data analytics competencies through hands-on engagement with real-world industry scenarios.
Laboratory Coordination
Dr Xiangyun Lu, Assistant Professor, Department of Accounting
Email: Xiangyun.Lu@xjtlu.edu.cn
Office: BS 416
Overview
The Digital Accounting Laboratory (DALab) serves as a research hub dedicated to exploring how cutting-edge artificial intelligence (AI), data analytics, and automation can transform accounting, finance, and related fields. DALab bridges academic theory and industry practice through the development of advanced analytical tools, applied research with industry relevance, and experiential learning programmes for students and faculty.
Patents and Tools
DALab holds four registered patents to date:
Customised Document Generator – Streamlines the generation of tailored operational documents for businesses.
Customised Email Sender – Automates large-scale personalised email communications.
Duplicates Identification Software – Identifies and removes data redundancies using pattern-recognition algorithms.
Luckdraw Software – Enables transparent automated random draws for promotional campaigns.
Research Projects
Suzhou Science and Technology Development Planning Programme (Soft-Science Research Project):
Investigating the Relationship Between Innovation Clusters and Digital Transformation from a Polycentric Governance Perspective
Key Special Funding (KSF):
Effective Credit Risk Management for Chinese SMEs in High-Tech Sectors: A Deep Learning–Based Approach
Optimising Learning Outcomes with AI-Enhanced Support in High Cognitive Load Modules
Interactive Simulation for Financial Risk Assessment
Managing Cognitive Load in Introductory Programming Modules with Animated Microvideos
Efficient Portfolio Management and Performance Prediction: Integrating AI into China’s Stock Market
The Impact of China’s Market Liberalisation on Cross-Border Mergers and Acquisitions: Evidence from Textual Analysis
External Collaboration
In March 2025, DALab formalised a technology development partnership with Schindler (China) Elevator Co., Ltd., focusing on AI and robotic process automation (RPA) tools to enhance operational efficiency and data-driven decision-making. This collaboration enriches DALab’s teaching and research with practical industry case studies.
Student Involvement and Activities
DALab fosters undergraduate research through its Summer Undergraduate Research Fellowship (SURF) programme, hosting over ten student-led projects since 2022. These initiatives allow students to develop AI and data analytics competencies through hands-on engagement with real-world industry scenarios.
Laboratory Coordination
Dr Xiangyun Lu, Assistant Professor, Department of Accounting
Email: Xiangyun.Lu@xjtlu.edu.cn
Office: BS 416