| In the past decade,the development of modern information technologies such as mobile internet,cloud computing,big data,artificial intelligence,and blockchain has greatly promoted the development of the digital economy.The 20 th National Congress of the Communist Party of China proposed to fully leverage the advantages of massive data and rich application scenarios,continuously strengthen and optimize the digital economy,accelerate the pace of digital social construction,and build a digital China.Guided by documents such as "Guiding Opinions on Central Enterprises Accelerating the Construction of World-Class Financial Management Systems" and "Notice on Accelerating the Digital Transformation of State-Owned Enterprises" issued by the Ministry of Finance,the State-owned Assets Supervision and Administration Commission,and other relevant departments,the speed of enterprise digital transformation has been continuously accelerating,promoting enterprises to enter a new stage of development characterized by automation and intelligence.Due to its importance in business and high level of standardization and informatization,finance has become the preferred area for digital transformation in enterprises.Under the trend of digital transformation in finance,enterprises are committed to achieving business and financial integration(referred to as "business-finance integration").With the intensification of digital transformation driving the integration of business and finance in enterprises,as well as the expansion and deepening of the application of Robotic Process Automation(RPA)technology in the finance field,the finance of enterprises presents highly synergistic characteristics with business and has complex cross-organizational and cross-system features.This makes modeling,analysis,and optimization of cross-organizational finance processes an important part of improving the quality and efficiency of financial work and achieving financial intelligence automation.Therefore,this thesis focuses on studying cross-organizational financial processes and conducts research on cross-organizational financial process models by combining process mining technology with cross-organizational process management theory.Firstly,the thesis elaborates on the current research status of financial process management and process mining both domestically and internationally.It also introduces related concepts,technologies,and theoretical foundations such as cross-organizational process management,process mining,and financial automation,which provide theoretical support for the framework construction and model research in the later part of the thesis.Secondly,through analyzing cross-organizational financial processes,the thesis proposes the construction ideas of the overall framework of cross-organizational financial processes.Thirdly,the thesis presents the construction ideas of the internal financial process model based on theoretical analysis and defines the cross-organizational financial workflow net based on Petri nets extended from message repositories.Each organization mines its internal financial process model from its event log.Then,the thesis analyzes the collaborative mode of cross-organizational financial processes and provides construction ideas for the financial process collaboration and integration model between organizations.This model is based on the internal model of the organization and filters out non-interactive activities from the event log to construct the inter-organizational financial process collaboration model.Finally,the thesis analyzes the importance of RPA in cross-organizational financial processes and proposes a construction idea for a cross-organizational collaborative financial process model based on specific organizations.The thesis combines the internal model with relevant collaborative integration process model fragments and constructs its own cross-organizational collaborative financial process model,which is then analyzed from the perspective of process efficiency to optimize the process.The thesis utilizes process mining techniques to construct a financial process model for cross-organizational processes.Through analyzing efficiency indicators of cross-organizational financial processes and combining RPA technology to automate certain aspects of the process,the automation and standardization of financial processes between different organizations are promoted.This reduces the time organizations spend on mutual cooperation,minimizes the error rate that may occur in cross-organizational processes,and reduces the cost of managing cross-organizational financial processes while increasing revenue by improving process efficiency.By building a cross-organizational financial process management system,it provides a reference for companies to improve financial management efficiency and optimize management systems,thus achieving the goal of improving management efficiency,reducing financial costs,and enhancing service quality for companies. |
