Financial Software Research Articles

Accountability of Village Fund Management with the Village Financial System Application

The general background village fund management has become an essential aspect of local governance, ensuring transparency and accountability in rural development. Specific background the use of accounting systems in village fund management is regulated by government policies, including the application of financial system software to streamline reporting and accountability processes. Knowledge gap however, there is limited research that evaluates the effectiveness of these systems at the village level, particularly in terms of their transparency and participatory mechanisms. Aims this research aims to analyze the implementation of the accounting system in village fund management, focusing on its transparency, accountability, and public participation. Results the findings reveal that the village fund management in Ngampelsari Village is conducted transparently, with clear accountability from the planning stage to reporting and evaluation. Novelty this research provides new insights into how the adoption of the Siskeudes application enhances the transparency and accountability of village fund management, which has not been extensively explored in previous studies. Implications the results suggest that the village government should continue updating and refining the system to maintain public trust and ensure effective fund management, while future research should expand the scope to include multiple villages for comparative analysis. Highlights: Transparent accounting improves village fund management efficiency. The Siskeudes application enhances financial reporting accuracy. Public participation is vital for accountable village governance. Keywords: Governance, Management, Transparency, Accountability, Siskeudes

Forecasting financial stability in SMEs: A comprehensive analysis of strategic budgeting and revenue management

Small and medium-sized enterprises (SMEs) are vital contributors to global economies, but they often face unique financial challenges that threaten their long-term stability. This review presents a comprehensive analysis of forecasting financial stability in SMEs, focusing on strategic budgeting and revenue management as key pillars. Strategic budgeting plays a crucial role in aligning financial plans with business goals, managing risks, and adapting to market changes. Techniques such as zero-based budgeting, activity-based budgeting, and rolling budgets offer SMEs flexibility in allocating resources and ensuring optimal cash flow management. Meanwhile, effective revenue management involves the use of pricing strategies, sales channel diversification, and customer segmentation to optimize revenue streams and improve profitability. The interplay between strategic budgeting and revenue management is critical for creating dynamic forecasting models that help SMEs anticipate financial challenges and make informed decisions. By integrating both strategies, SMEs can better manage risks, enhance financial predictability, and achieve long-term sustainability. This review also explores the role of technological tools, such as financial software and predictive analytics, in supporting financial decision-making processes. Tools like customer relationship management (CRM) systems and AI-driven forecasting platforms enable SMEs to optimize revenue potential and refine budgetary practices. The review provides recommendations for SMEs to implement best practices in financial planning, suggesting regular budget reviews and proactive revenue management strategies to respond to market fluctuations. By leveraging strategic budgeting and revenue management, SMEs can enhance their financial resilience and improve their capacity to navigate economic uncertainties. The review concludes with insights into emerging trends in financial forecasting, emphasizing the importance of continuous adaptation to maintain financial stability.

코어뱅킹(Core Banking)산업의 진화와 미래: 뱅크웨어글로벌의 사례를 중심으로

The study examines the Korean core banking industry's growth from Bankware Global to the present and its future problems. To this end, in-depth interviews with insiders and various data are analyzed to view the historical development of core banking, focusing on Bankware Global, a leader in 'cloud-based core banking', and its competition and strategic direction. This study will reveal the strategic importance of shifting core banking to the cloud and its consequences for bank and financial institution managers. Bankware Global was founded as banks and financial firms moved their computing infrastructure to the cloud from the fourth to the fifth generation. Based on a cloud-based core system, Bankware Global's core banking solution can easily assemble and grow financial goods and business operations including banks, cards, and capital. Bankware Global's flagship products support the most technologies compared to competitors, and its customized development method gives it a competitive advantage in quality, price, and time saved by more than 30%. These features should help Bankware Global maintain its lead in the limitless financial software market, which has no borders or large and small scale.

Innovative financial strategies for achieving cost reduction and revenue growth in non-profit organizations

Non-profit organizations operate in a challenging financial environment, requiring innovative strategies to ensure sustainability and maximize their impact. This review paper explores essential financial strategies for non-profits, focusing on cost reduction, revenue growth, strategic financial planning, and leveraging technology. Cost reduction strategies, including operational efficiency, process streamlining, and technology implementation, enable non-profits to optimize resource allocation. Revenue growth is achieved through diversifying funding sources, expanding donor bases, and adopting social enterprises and digital fundraising methods. Strategic financial planning and management, encompassing robust financial plans, regular audits, and risk management, are foundational for financial health. Leveraging technology, such as financial management software, data analytics, and blockchain, further enhances financial efficiency and transparency. This comprehensive approach empowers non-profits to achieve financial stability, improve resource management, and enhance their mission-driven impact. Future directions recommend exploring new financial management practices and technologies to maintain competitiveness and sustainability in an evolving landscape.

Strategies for developing hard skills in higher education students through innovative pedagogical technologies in realistic professional environments

Introduction: the global emphasis on developing hard skills, essential for professional competence in digital optimization, has led to a focus on practical skills like foreign language proficiency, programming, and data analysis. These skills, acquired through education or experience, are crucial across various professions, especially in the digital era, where innovative pedagogical methods are key.Objectives: this study aims to analyze the impact of innovative pedagogical technologies on developing hard skills, particularly foreign language competence, in higher education students, simulating real-world professional environments.Methods: the study employs a range of general scientific methods, including analysis, synthesis, induction, deduction, formalization, and generalization. These methods help identify and describe the development of hard skills and digital competence, focusing on innovative pedagogical strategies.Results: the findings highlight a structural-functional model for professional training in the digital labor market, emphasizing interdisciplinary integration, professional training alignment with market needs, and the use of innovative technologies. Key skills identified include financial management, software development, and foreign language proficiency, essential for making informed managerial decisions in a globalized world.Conclusions: the integration of innovative pedagogical methods, such as incidental learning and argumentation, enhances the development of hard skills, particularly English language competence. The study underscores the importance of creating learning environments that closely mirror professional conditions, thereby improving the quality of education and preparing students for the demands of the modern labor market. Future research should focus on refining digital tools and methodologies to further enhance language skills and overall hard skill development

Digital Revolution in Food Entrepreneurship: Perspectives from Select Small and Micro Food Enterprises

This study is entitled Digital Technologies and Its Integration In The Operations Of Micro And Small Food Enterprises: Basis For Strategic Plan which intended to describe the profile of the companies namely, Henan Little Jade Foods, The Garden of Clear Fragrance Foods, Tianjin Joint Venture Foods, and Tianjin the EatSmart Way Technology Development Company. These four food enterprises located in Henan and Tianjin, China integrate digital technologies in their business operations. This research aims to provide a description of digital technologies integrated in the operations of micro and small food enterprises as basis for strategic plan. The description of the profile of the four companies dealt with the nature of business, products and services offered, number of years in the business, existing market, platform of distribution, and business or asset size as of 2022. In addition, this study delves into the use of digital technologies in the business areas of management and decision making, marketing, production/operations and finance. Regarding the integration of digital technologies in small microfood businesses, all respondents strongly agreed on the use of digital technologies in the four main areas of management and decision making, marketing, production/operations and finance. In the area of management and decision making, 98% of the respondents strongly agreed with the following item statements:In the marketing area, 96% of respondents strongly agreed that digital technology "helps to broaden the customer base, pricing, customer trends and future demand forecasting, helps to develop a customer-centered marketing strategy, and helps to build a competitive brand." In the production/operations area, 92% of respondents strongly agreed with the statement that the following items: "facilitates the implementation of more effective risk assessment and risk mitigation, brings innovation to the company, facilitates an effective transition from traditional to modernized production models, improves the efficiency of customer relationship management, and better connects the company to the community." In the area of finance, 93% of respondents felt strongly that digital technology has caused "confusion and struggle due to lack of preparedness on issues such as the digital economy, cyberthreats and attacks, financial management software, and digital investments." In marketing, respondents agreed that digital technology has created "confusion due to loss of control over customer interactions, poorly trained staff, and mistrust among customers." They also agreed that on the production/operations side, digital technology has brought about internal conflicts and difficulties in complying with regulatory policies due to different perspectives on understanding digital". Based on these findings, we propose a strategic plan for food companies to study and adapt. The researcher recommends further research into the potential for micro and small food businesses to participate in a centralized data management system. However, this will require more training for employees to ensure that everyone is up-to-date with the industry's digitalization and in sync with customer platforms. The challenges that food companies face in integrating digital technologies must be examined by top management and employees alike to determine what issues the company must strategically address to ensure sustainability and productivity, which are the ingredients for survival in the world market. Keywords: digital technologies, integration, micro and small food enterprises, management and decision-making, marketing, production/operations, finance

Software Testing Framework for the Financial Market

A well designed, developed and tested software is usually reliable and it produces the same consistent outputs for a set of inputs. However, financial markets software is different because it can produce different results for the same periods of back-testing with the same input historical data, usually downloaded from the financial market broker’s trading server. These inconsistency of results can confuse a financial market software developer when testing for the profitability of developed expert advisors because a profitable expert advisor can be wrongly discarded as unprofitable, leading to frustrations. This problem can be addressed when new software testing processes and indicators are added to the conventional ones such as functional testing, performance testing, usability testing, etc., associated with normal software development. This paper proposes a software testing framework for the financial market with novel software testing processes and indicators. The proposed software testing framework integrates six software testing processes namely, brokers test, currency pairs test, spread test, weekday-weekend test, back testing-live test and time and space overhead test. The paper further analyzes the problem of time and space overheads associated with the financial market software during back-testing and real life implementation. The framework was applied to real life trading in the Forex financial market. The results show that the proposed framework improves the profitability of the financial market software when applied in different scenarios.

Comparison of Classification Algorithm and Language Model in Accounting Financial Transaction Record: A Natural Language Processing Approach

The problem of financial recording not following the principles of accounting science has the potential to cause unnecessary problems. However, micro, small, and medium enterprises with their distinctive characteristics, though not all, still face many obstacles in writing financial reports. Even though there is already much financial software available, our study aims to investigate opportunities for implementing automation of accounting financial transaction records using the NLP approach, to interpret financial transactions based on text written on the transaction form into accounting journals (debits and credits). Experiments were carried out by comparing the performance of three classification algorithms, namely SVM, K-Nearest Neighbor, and Random Forest, with traditional (TF-IDF and BOW) and contextual (Word2Vec) Language Models. There are 200 financial transaction datasets consisting of ten classes. The data is divided into two parts, namely, the balance dataset and the imbalance dataset. The pair SVM and Word2Vec in the balanced dataset gave the highest accuracy (92.5%), precision (92.5%), recall/sensitivity (93.33%), and F1 score (92%). However, compared with the results of related semantic research (the average performance reaches 95%), the results obtained in this study are still lower. One point that may have a significant effect is the amount of data in the corpus, which is still lacking. Researchers suggest increasing the number of datasets and using a combination of other language models such as Glove, Bert etc. This study can also be used as a model for more complex financial transaction cases in future research.

An efficient test suit reduction methodology for regression testing

<span lang="EN-US">This paper's goal is to provide a more effective algorithm for reducing the amount of test cases in a test suit during the regression testing phase. This algorithm divide the entire test suit into equivalence classes in first step and then apply boundary value coverage to select test case out of repeated test cases which has same importance in test suit. This algorithm is based on the concept that before selecting best test cases out of repeated test case in test suit to prepare reduced test suit we can divide all test cases in number of equivalence classes so number of test case under consideration reduced by great extend. This paper proposed a method of experimentation involving test cases from different software application areas; minimization algorithms and the maths and algorithms of minimization algorithms in details. Test case techniques are equivalence portioning and boundary value analysis. Along with this concept, I also discuss a case study to verify and check new algorithm for its efficiency, for that I apply my algorithm on one of the program or group of program. This complete proposed methodology shall be applied to different software applications belonging to soft computing, Engineering software, Financial Software, Cloud Applications, Business Applications, AI and Machine Learning, Data Analytics are being identified. This selection has been made keeping in mind the trends, industrial importance, economic values and research challenges. Minimization in test cases would lead to lesser testing effort and desirable test completion.</span>

Machining technologies to compute the psychological-financial index

Subject. This article deals with the issues of measuring the emotions of financial decision-makers based on machine learning technologies in finance. Objectives. The article aims to develop a methodology for measuring emotions in the financial sector, algorithms and software based on artificial intelligence for its implementation in finance. Methods. For the study, we used the methods for marking up text data, index method, machine learning methods, computer technologies for natural language processing, methods for assessing emotions with their own rating scale, induction and deduction, and statistical methods for processing observation results. Results. The article reveals the content of methods for comprehensive measurement of the emotions of financial decision-makers. Software tools were created to implement machine learning technologies when computing an emotion measurement index. Conclusions and Relevance. A psycho-financial index based on automatic calculation using new machine learning technologies provides fundamental analysts of financial markets with an analytical tool that brings the forecast result closer to real conditions, when the emerging combinations of traditional and psychological indicators in the markets provide a new interpretation of current events. This improves the quality of analytical work and improves its results. The result can be used in the work of a fundamental analyst of financial markets. The use of new indicators complements and expands the classic analytical tools and improves the quality of market forecasts.

Artificial Intelligence’s Capabilities, Limitations, and Impact on Accounting Education: Investigating ChatGPT’s Performance on Educational Accounting Cases

ABSTRACT This study evaluates the capabilities of ChatGPT models 3.5 and 4 to provide solutions to seven educational accounting cases. We find that ChatGPT’s ability to provide accurate solutions varies depending on the type of case requirement, with better performance on tasks requiring elements that require explanation, application of rules, and ethical evaluation using a framework. However, ChatGPT performs relatively poorly on tasks that require financial statement creation, journal entries, or software use. Our study also finds that detection tools provided by ChatGPT’s developer are ineffective in identifying text created by artificial intelligence text generators (AITG). These quantitative results, although limited in generalizability, illustrate the current “state of the art” and allow us to suggest ways in which instructors can structure assignments to reduce the effectiveness of AITGs in subverting the learning process and ways in which instructors can incorporate AITGs into assignment requirements to help students attain desired educational outcomes.

НОВЕЙШИЕ ИНФОРМАЦИОННЫЕ И ЦИФРОВЫЕ ТЕХНОЛОГИИ В СФЕРЕ ЭКОНОМИКИ

The digital economy has emerged as an innovation economy that uses digital technology and electronic communications to conduct economic and business activities across a wide range of sectors, including e-commerce, digital marketing, digital financial services, software development, computer games and cloud services. The use of digital technology and electronic communications has led to a significant shift towards online business interactions, resulting in improved user experience, faster data processing and easier access to services and products. The digital economy is recognized as a major driver of economic growth and development in many developed countries and is constantly expanding due to its significant impact on economic and business activities.

Кастомізація послуг кредитних установ

The article is devoted to the study of customization of services of credit institutions and features of their implementation. IT solutions have been proven to change the way businesses are organized and communicated with customers. Among the promising areas of such innovations in the financial sphere, financial software solutions aimed at customizing the services of credit institutions are allocated. It is argued that the trend towards customization of services is relevant for the financial industry, credit institutions are interested in the development of personalized services and a customer-oriented approach, which should replace the traditional technologies of working with clients of credit institutions. It is determined that the customization of services of credit institutions has its own specific features: making personalized decisions, using new financial technologies (artificial intelligence, big data analysis), identifying unique financial needs. The stages of customization of services are outlined, namely: conducting a detailed assessment of the client, segmentation of clients for the development of an individual strategy, individual financial planning, risk management and insurance. It is studied that strategies for customizing the services of credit institutions can be developed in the following ways: individual pricing, which means that institutions offer a service with an optimal and attractive price; personalized services, which provides the ability of credit institutions to analyze data on customer interactions and financial behavior in order to offer personalized services; individual financial consultations, which are implemented through programs with personal financial consultants. It is proved that the customization of credit institutions’ services still requires overcoming many problems, including: inefficient data management, outdated computer or software, organizational isolation, data confidentiality, etc.

PELATIHAN SISTEM INFORMASI ADMINISTRASI KEUANGAN PADA KOPERASI WANITA MIFTAHUL JANNAH DI KABUPATEN TULUNGAGUNG

Miftahul Jannah Women's Corporation in Tulungagung District, as a representative of micro-enterprises at the local level, faces various challenges in managing financial administration. Lack of knowledge of financial administration information systems is a major obstacle to improving the efficiency and transparency of co-operative financial management. Therefore, there is a need to train the financial administration information system to empower cooperatives and improve competitiveness. Training the financial management information system is a strategic solution to overcome the obstacles faced by the Miftahul Jannah Women's Corporation. Through a participatory approach, participants are involved in an understanding of the basic concepts of financial information technology, the use of financial software, and practical applications in a cooperative context. This approach is designed to accommodate a diverse level of digital literacy among participants. The training is designed with structured phases, including theory exposure, practical demonstration, and simulation training sessions. After the training, there was a significant improvement in the participants' ability to manage the co-operative financial administration. They are able to use financial software smoothly, compile accurate financial reports, and make better financial decisions. Positive impacts are also seen in increased transparency, accountability, and confidence among co-operative members. This training not only benefits the operational level of cooperatives but also empowers the economy of micro-enterprises in the region. With increased financial management capabilities, cooperatives can be more effective in managing resources, increasing production, and expanding market share. This empowerment contributes to local economic growth and improved welfare of co-operative members.

Financial Technology and Financial Inclusion in Accra, Ghana

This study examined the effect of financial technology on financial inclusion in Accra, Ghana. The research was quantitative and employed the correlational and survey research designs. The simple random sampling technique was used to choose a sample of 353 respondents. Questionnaire were employed as the instrument for gathering primary data from individuals in Accra. Statistical Package for Service Solution version 25 was used as the tool for analysing data. The result of the study was analysed using descriptive statistics and linear regression. The finding was that as a result of the introduction of financial application software, respondents were able to access financial products and services of banks. Additionally, the use of internet banking resulted in more of the respondents being financially included. The use of mobile money services also made more of the respondents to be included financially. It is therefore recommended that charges on mobile money services should be reduced to a minimum that allow people to partake in the services in order to encourage financial inclusion. 
 
 Received: 18 September 2023 / Accepted: 22 October 2023 / Published: 5 November 2023

Influences of Emotional Intelligence, Management Support, and IT Infrastructure on Suspicious Transaction Reporting: Evidence from Malaysia

Recently, money laundering has become a worldwide financial crime, as it can draw a global negative impact by damaging society socially and economically. Money Laundering Reporting Officers (MLRO) is responsible in conducting a holistic review of a bank’s client to support the effort of regulators in combatting money laundering and terrorist financing. This study is conducted to examine factors influencing suspicious transaction reporting decisions by MLRO. Questionnaires were distributed to MLRO in three international financial institutions in Malaysia. The outcome of this study showed that there are significant impacts of emotional intelligence, management support, and IT infrastructure on the decision to report suspicious transactions among the MLRO. The conclusion of this study is expected to benefit the Anti-Money Laundering departments in financial institutions, software developers, educators or trainers, and management teams in the effort in fighting money laundering.

Intelligent auditing techniques for enterprise finance

Abstract With the need of social and economic development, the audit method is also continuously reformed and improved. Traditional audit methods have defects of comprehensively considering various risk factors, and cannot meet the needs of enterprise financial work. To improve the effectiveness of audit work and meet the financial needs of enterprises, a solution for intelligent auditing of enterprise finance is proposed, including intelligent analysis of accounting vouchers and of audit reports. Then, Bi-directional Long Short-Term Memory (BiLSTM) neural network is used to classify the audit problems under three text feature extraction methods. The test results show that the accuracy, recall rate, and F1 value of the COWORDS-IOM algorithm in the aggregate clustering of accounting vouchers are 85.12, 83.28, and 84.85%, respectively, which are better than the self-organizing map algorithm before the improvement. The accuracy rate, recall rate, and F1 value of Word2vec TF-IDF LDA-BiLSTM model for intelligent analysis of audit reports are 87.43, 87.88, and 87.66%, respectively. This shows that the proposed method has good performance in accounting voucher clustering and intelligent analysis of audit reports, which can provide guidance for the development of enterprise financial intelligence software to a certain extent.

Assessing the Influence of Budgeting and Forecasting Accuracy on Financial Performance in Corporate Accounting using SPSS Statistics

corporate accounting, Corporate accounting is a fundamental facet of modern business operations, serving as the backbone of financial management and reporting within organizations. It encompasses the systematic recording, analysis, and interpretation of financial data to provide accurate insights into a company's economic activities. This branch of accounting operates within the corporate context, dealing with the financial transactions and events that transpire within a business entity. At its core, corporate accounting enables companies to track their financial health, make informed decisions, and fulfill regulatory requirements. It involves processes such as recording revenue, expenses, assets, and liabilities, as well as preparing financial statements like balance sheets, income statements, and cash flow statements. These financial reports play a pivotal role in communicating the company's financial performance and position to various stakeholders, including investors, creditors, regulatory bodies, and management. In the dynamic landscape of modern business, corporate accounting is constantly evolving. Advancements in technology have introduced innovative software and tools that streamline accounting processes, enhance accuracy, and enable real-time reporting. Additionally, the complexity of global markets and regulatory frameworks has heightened the importance of adhering to accounting standards such as Generally Accepted Accounting Principles (GAAP) or International Financial Reporting Standards (IFRS). In essence, corporate accounting serves as the financial compass of a company, guiding it towards prudent financial management, effective resource allocation, and transparency in reporting. It plays an integral role in supporting strategic decision-making, fostering investor confidence, and ensuring the organization's compliance with financial regulations.Research in corporate accounting holds significant value as it ensures financial transparency, guides ethical conduct, and aids in compliance with international standards. By refining accounting practices, detecting fraud, and informing strategic decisions, such research promotes accurate financial reporting, safeguards against mismanagement, and supports sustainable business growth in a complex and interconnected global economy.SPSS (Statistical Package for the Social Sciences) is a comprehensive software tool used for statistical analysis and data management. It offers a user-friendly interface for researchers and analysts to conduct various statistical tests, create visualizations, and explore data relationships. SPSS facilitates tasks such as data cleaning, descriptive statistics, hypothesis testing, regression analysis, and more. It's widely employed in research, social sciences, and business for its ability to process and interpret data, aiding in evidence-based decision-making and insights generation.Financial Statement Analysis, Budgeting and Forecasting, Tax Compliance, generally accepted accounting principles (GAAP) and International Financial Reporting Standards (IFRS) Knowledge, Financial Software Utilization.Cronbach's Alpha Reliability analysis. The collective Cronbach's Alpha coefficient for the model stands at .537, indicating a reliability level of 49%. Drawing from the literature review, the model with the aforementioned Cronbach's Alpha value of 53% is deemed suitable for further analysis.

Assessing the Influence of Budgeting and Forecasting Accuracy on Financial Performance in Corporate Accounting using SPSS Statistics

corporate accounting Corporate accounting is a fundamental facet of modern business operations, serving as the backbone of financial management and reporting within organizations. It encompasses the systematic recording, analysis, and interpretation of financial data to provide accurate insights into a company's economic activities. This branch of accounting operates within the corporate context, dealing with the financial transactions and events that transpire within a business entity. At its core, corporate accounting enables companies to track their financial health, make informed decisions, and fulfill regulatory requirements. It involves processes such as recording revenue, expenses, assets, and liabilities, as well as preparing financial statements like balance sheets, income statements, and cash flow statements. These financial reports play a pivotal role in communicating the company's financial performance and position to various stakeholders, including investors, creditors, regulatory bodies, and management. In the dynamic landscape of modern business, corporate accounting is constantly evolving. Advancements in technology have introduced innovative software and tools that streamline accounting processes, enhance accuracy, and enable real-time reporting. Additionally, the complexity of global markets and regulatory frameworks has heightened the importance of adhering to accounting standards such as Generally Accepted Accounting Principles (GAAP) or International Financial Reporting Standards (IFRS). In essence, corporate accounting serves as the financial compass of a company, guiding it towards prudent financial management, effective resource allocation, and transparency in reporting. It plays an integral role in supporting strategic decision-making, fostering investor confidence, and ensuring the organization's compliance with financial regulations. Research in corporate accounting holds significant value as it ensures financial transparency, guides ethical conduct, and aids in compliance with international standards. By refining accounting practices, detecting fraud, and informing strategic decisions, such research promotes accurate financial reporting, safeguards against mismanagement, and supports sustainable business growth in a complex and interconnected global economy. SPSS (Statistical Package for the Social Sciences) is a comprehensive software tool used for statistical analysis and data management. It offers a user-friendly interface for researchers and analysts to conduct various statistical tests, create visualizations, and explore data relationships. SPSS facilitates tasks such as data cleaning, descriptive statistics, hypothesis testing, regression analysis, and more. It's widely employed in research, social sciences, and business for its ability to process and interpret data, aiding in evidence-based decision-making and insights generation. Financial Statement Analysis, Budgeting and Forecasting, Tax Compliance, generally accepted accounting principles (GAAP) and International Financial Reporting Standards (IFRS) Knowledge, Financial Software Utilization. Cronbach's Alpha Reliability analysis. The collective Cronbach's Alpha coefficient for the model stands at .537, indicating a reliability level of 49%. Drawing from the literature review, the model with the aforementioned Cronbach's Alpha value of 53% is deemed suitable for further analysis.

Research on the Application and Development of RPA in Accounting Higher Vocational Education: A Chinese Perspective

Amid the swift rise of artificial intelligence and Robotic Process Automation (RPA), there is an urgent call for innovative shifts in accounting education within higher vocational institutions. This study examines the pragmatic use of RPA, against the backdrop of China's professional accounting education landscape. The current focus on accounting calculations and financial software in Chinese accounting education overlooks vital skills in financial robot operation and data handling. Furthermore, students' organizational and communicative abilities demand enhancement. To address these issues, vocational colleges should prioritize educator development and curricular adaptations. These measures will nurture a cohort of students equipped with enhanced comprehensive skills, poised to adapt to the dynamic demands of the financial sphere and contribute to its sustainable evolution.