Traditional Accounting Methods Research Articles

Analisis Penerapan Metode Activity Based Costing Method Untuk Meningkatkan Akurasi Dalam Menentukan Perhitungan Harga Pokok Produksi

The aim of this research is to determine the application of the Activity Based Costing method to increase the accuracy of production cost calculations. The research method used in this research is a descriptive research method using a case study approach which took the research location in Puspita, Jakarta City. The results of this research show that the calculation of production costs using the traditional analytical accounting method is IDR 15,978.15 while the Activity Based method of determining the cost of production Costing is IDR 15,766.36 so there is a price difference in the D lunch box production method at Pupita Catering Town Jakarta, which is more appropriately applied to operating costs based on the difference of IDR. 211.79 is lower compared to traditional cost accounting methods because factory overhead costs are allocated to several cost drivers so that operating costs can be allocated to products correctly and precisely according to the consumption of each activity.

THE ROLE OF ROBOTIC PROCESS AUTOMATION (RPA) IN MODERN ACCOUNTING: A REVIEW - INVESTIGATING HOW AUTOMATION TOOLS ARE TRANSFORMING TRADITIONAL ACCOUNTING PRACTICES

This study investigates the transformative impact of Robotic Process Automation (RPA) on modern accounting practices. The primary objective is to analyze how RPA is revolutionizing traditional accounting methods, focusing on its integration, challenges, and future prospects. Employing a systematic literature review and content analysis methodology, the study draws on a range of academic journals, industry reports, and white papers, published between 2013 and 2023. The findings reveal that RPA significantly enhances operational efficiency, accuracy, and compliance in accounting processes by automating routine tasks. This automation allows accounting professionals to shift their focus towards more strategic and analytical roles. The study identifies key challenges in RPA adoption, including integration complexities, workforce adaptation, and privacy concerns. It also highlights the evolving role of educational institutions in preparing future accountants for a digitalized environment. Looking forward, the study predicts further advancements in RPA, driven by the integration of AI and machine learning, offering sophisticated applications in predictive analytics and decision support. However, these advancements come with challenges that need balanced management. Strategic recommendations for industry practitioners emphasize the importance of continuous learning and effective integration strategies. Policymakers are advised to develop regulatory frameworks guiding the ethical use of RPA in accounting. The study suggests future research directions, including the long-term impacts of RPA on the accounting profession and the integration of RPA with emerging technologies. Finally, RPA stands as a pivotal technology in the accounting sector, offering significant benefits while presenting challenges that require careful navigation as the field continues to evolve.
 Keywords: Robotic Process Automation, Accounting Practices, Modern Accounting, Automation.

A review of U.S. management accounting evolution: Investigating shifts in tools and methodologies in light of national business dynamics

This study provides a comprehensive analysis of the evolution of management accounting in the United States, focusing on the shifts in tools, methodologies, and the influence of national business dynamics. The primary objective was to understand how management accounting practices have adapted to technological advancements, economic changes, and regulatory developments. Utilizing a systematic literature review process, the study involved identifying relevant literature through databases like Scopus, Web of Science, and Google Scholar, employing keywords related to management accounting evolution. The selection of sources was based on predefined inclusion and exclusion criteria, emphasizing relevance, quality, and methodological rigor. Content and thematic analysis was used to interpret findings from the qualitative data. Key findings revealed a significant evolution from traditional cost accounting methods to strategic, data-driven approaches, influenced by technological advancements and changing business environments. The study identified a shift towards integrated, predictive, and data-driven management accounting practices, with a growing focus on sustainability and digitalization. The impact of technological, economic, and regulatory factors was found to be profound, necessitating continuous adaptation in management accounting practices. The study concludes that management accounting in the U.S. is highly dynamic, responding effectively to technological and economic changes. Recommendations for future research and practice include embracing technological advancements, adapting to economic and regulatory changes, focusing on sustainability, enhancing education and training, and encouraging collaborative research. This study underscores the necessity for ongoing adaptation and innovation in management accounting to maintain relevance in a rapidly evolving business landscape.

The Impact of Artificial Intelligence (AI) on the Accounting System of Saudi Companies

As a major player in the world market, Saudi Arabia has seen substantial adoption of artificial intelligence AI) technology in its commercial environment. This study intends to thoroughly examine the specific effects of AI on Saudi business accounting systems. This paper offers comprehensive knowledge of the consequences of AI application in the accounting sector through a thorough examination of the body of existing literature. It examines how traditional accounting methods are affected by AI-driven automation, data analysis, and decision-making processes in the Saudi Arabian environment. The viewpoints and experiences of first-hand participants in integrating AI into Saudi enterprises’ accounting systems are provided by this study through a survey distributed to important stakeholders, such as accounting professionals, technology specialists, and business leaders. This study also emphasizes how incorporating AI technology into accounting procedures may affect workforce dynamics, skill needs, and organizational structure as a whole. One of the most significant research findings is the ability of AI to process enormous volumes of data quickly and accurately, allowing for improved financial analysis, risk assessment, and forecasting. This facilitates wiser and more strategic business decisions. AI also simplified accounting processes and decreased the need for human labor, saving Saudi enterprises money. As a result, resource allocation was optimized and overall financial performance was enhanced.

Research on Accounting Quality Management of Enterprises under Financial Sharing Mode

Abstract With the deep integration of the global economy and the continuous individuality of technology, the complexity of enterprise operation and management is increasing, which makes the traditional accounting and accounting methods difficult to meet the needs of modern enterprises. This paper proposes an enterprise accounting accounting method applying information computing technology, which applies association rules to generate frequent item sets of data for the accounting data under the financial sharing mode and obtains the optimal rules through pruning. Based on the time series prediction of the enterprise’s financial data, changes are made. Taking the actual enterprise case study, the association rules involved in accounting are more accurate, the calculation results are basically the same as the actual value, and the final cost accounting value is only nearly 2 million yuan different from the actual value, the accounting error is only 0.02%. Furthermore, the association rule algorithm has a significant impact on improving the efficiency of accounting work. The service time of counter personnel can be reduced by 30% after Bank P applies the management rules to accounting management. The average execution time of the initial ticket examination operation has been accelerated from 10.53 seconds to 5.42 seconds. The association rule algorithm can effectively improve the precision of enterprise accounting and the efficiency of accounting personnel, while also identifying existing problems in the current management system.

Correlation Analysis and Monitoring Method of Carbon Emissions in the Steel Industry Based on Big Data

Excessive carbon emissions will lead to catastrophic consequences such as global warming and rising oceans and will also have a serious negative impact on the human food supply and living environment. The steel industry is characterized by high pollution, and about 18% of China’s carbon emissions come from the steel industry. The ‘double carbon’ strategy has brought important tasks and severe challenges to China’s steel industry. With a view to evaluating the achievements of carbon emission control, carbon emission monitoring systems at home and abroad have been continuously established and improved. For the steel industry, accurate and efficient carbon monitoring technology has a guiding role in guiding energy conservation and carbon reduction. Traditional carbon emission accounting methods have some problems, such as long cycles and poor data quality, which restrict the improvement of the lean level of carbon emission monitoring management. Firstly, this paper investigates and analyzes the productive process and carbon emission process of the steel industry and constructs an entropy weight-grey correlation -TOPSIS analysis method for the correlation between carbon emissions and influencing factors. Based on the above content, a carbon emission monitoring method based on multiple influencing factors is put forward, and the high monitoring accuracy of the model is proved by taking the Tianjin steel industry as an example. The results show that information mining of relevant data can strikingly increase the accuracy of carbon emission monitoring in the steel industry.

Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains

The critical transmission hubs in global supply chain networks have great potential to reduce carbon emissions, yet this has not received much attention from existing studies. This research combines the structural path betweenness, an extended structural path analysis, and a multi-level modularity optimization algorithm to identify key transmission sectors, paths, and carbon communities in a global supply chain network using the environmentally extended multi-regional input-output analysis. The results show that (1) China's metal industry, power industry, and non-metallic industry are the most crucial transmission centers, and some sectors, such as the paper industry and textile industry in China, are also key transmission hubs, yet they are ignored by traditional accounting methods. From a national viewpoint, China is the most key transmission hub, and its high betweenness is mainly caused by domestic demand. Meanwhile, the CO2 emissions transferred by China to satisfy foreign demand are mainly related to the US, ROW (especially the Asia-Pacific region), and Japan. (2) The transmitted carbon emission is mainly concentrated in the first four production layers, accounting for 69.46 % of the total. (3) The global carbon emission network can be divided into 20 carbon communities. And the largest communities are mainly led by mainland China. Most of the communities contain various national sectors, which offer evidence for international cooperation strategies. The results offer policymakers a new perspective on mitigating environmental stress.

A method of water resources accounting based on deep clustering and attention mechanism under the background of integration of public health data and environmental economy.

Water resource accounting constitutes a fundamental approach for implementing sophisticated management of basin water resources. The quality of water plays a pivotal role in determining the liabilities associated with these resources. Evaluating the quality of water facilitates the computation of water resource liabilities during the accounting process. Traditional accounting methods rely on manual sorting and data analysis, which necessitate significant human effort. In order to address this issue, we leverage the remarkable feature extraction capabilities of convolutional operations to construct neural networks. Moreover, we introduce the self-attention mechanism module to propose an unsupervised deep clustering method. This method offers assistance in accounting tasks by automatically classifying the debt levels of water resources in distinct regions, thereby facilitating comprehensive water resource accounting. The methodology presented in this article underwent verification using three datasets: the United States Postal Service (USPS), Heterogeneity Human Activity Recognition (HHAR), and Association for Computing Machinery (ACM). The evaluation of Accuracy rate (ACC), Normalized Mutual Information (NMI), and Adjusted Rand Index (ARI) metrics yielded favorable results, surpassing those of K-means clustering, hierarchical clustering, and Density-based constraint extension (DCE). Specifically, the mean values of the evaluation metrics across the three datasets were 0.8474, 0.7582, and 0.7295, respectively.

ESTABLISHMENT OF ACTIVITY BASED MANAGEMENT ACCOUNTING FOR STRATEGIC PRICING IN A TRADING COMPANY IN THE FURNITURE INDUSTRY

Today, businesses need the right tools to use scarce resources more efficiently. As well as allocating resources in an efficient way, companies must develop and support ideal management approaches with these tools. The application of activity-based management accounting for strategic pricing in companies includes a shift from traditional cost accounting methods to a more comprehensive approach relating costs to activities and ultimately to pricing decisions. Activity-based management accounting provides a better understanding of cost behavior by identifying and analyzing the activities which are involved in producing and delivering products or services. In this regard, the purpose of this study is to develop an activity-based management model for strategic pricing in a trading company in the furniture industry. The developed model is significant since it details the stages of realization, considers strategic price variables and fixed costs of resource production one by one. To establish activity-based management accounting, all activities involved in the companys operations must be defined, classified, and cost assigned to each activity, which will enable the company to identify the cost factors for each activity and how these affect the overall cost of production. Companies can also analyze the profitability of their products or services using activity-based management accounting to determine which activities contribute to profit and which do not. KEY WORDS: Strategic Pricing, Activity-based costing, Activity-based management

Identifying High Direct Variable Costs of Open Carpal Tunnel Release Patients Using Time-Driven Activity-Based Costing

To improve value in health care delivery, a deeper understanding of the cost drivers in hand surgery is necessary. Time-driven activity-based costing (TDABC) more accurately reflects true resource use compared with traditional accounting methods. This study used TDABC to explore the facility cost of carpal tunnel release and identify preoperative characteristics of high-cost patients. Using TDABC, we calculated the facility costs of 516 consecutive patients undergoing open carpal tunnel release at an orthopedic specialty hospital between 2015 and 2021. Patients in the top decile cost were defined as high-cost patients. Multivariable logistic regression was used to determine preoperative characteristics (age, sex, body mass index, race, ethnicity, Elixhauser comorbidity index, American Society of Anesthesiology score, preoperative Disabilities of the Arm, Shoulder and Hand score, Short-Form 12, and anesthesia type) independently associated with high-cost patients. Surgery-related personnel costs were the main driver (38.0%) of total facility costs, followed by preoperative personnel costs (21.3%). There was a 1.8-fold variation in facility cost between patients in the 90th and 10th percentiles ($774.69 vs $431.35), with the widest cost variations belonging to medication costs ($17.67 vs $1.85; variation, 9.6-fold) and other supply costs ($213.56 vs $65.56; variation, 3.3-fold). Using multivariable regression, predictors of high cost were patient age and use of general anesthesia. Total facility costs correlated strongly with the total operating room time and incision to closure time. Efforts to decrease operating room time may translate into reduced personnel costs and greater cost savings. Multidisciplinary initiatives to control medication expenses for patients at risk of high costs may narrow the existing variation in costs. Economic and Decision Analysis II.

Research on the impact of artificial intelligence-based e-commerce personalization on traditional accounting methods

With the development of artificial intelligence technology in various fields, the traditional accounting method is no longer applicable to the personalized development of e-commerce industry; Therefore, it is essential to improve the accounting method and construct a personalized recommendation model for e-commerce. Based on this background, this study firstly reconstructs the steps of accounting element recognition in the traditional accounting system and constructs an automated accounting recognition mechanism using BP neural network algorithm, aiming to improve the accuracy and efficiency of accounting element recognition; Secondly, a personalized e-commerce recommendation model based on multiple intelligence is built, which uses intelligent Q-learning algorithm to optimize the recommendation module, aiming to improve the accuracy of personalized recommendation. By comparing the performance of different accounting models under different personalized e-commerce systems, the accounting model proposed in this paper can predict the accounting entries well under the three-layer BP neural network, and the error between the maximum predicted value and the actual value is 0.23%. The recommendation model proposed in the study outperforms the traditional recommendation model and the recommendation model under collaborative filtering algorithm in predicting customers' personal preferences, whose predicted value is closer to the real situation. In summary, both the accounting method and the personalized recommendation model for e-commerce proposed in this study can achieve better application results, thus providing a new idea for the development of the e-commerce industry.

Drag decomposition of a subsonic wing via a far-field, exergy-based method

This paper focuses on the aerodynamic analysis and drag decomposition of an unpowered, low aspect ratio wing, using a far-field, exergy-based method. As opposed to traditional drag accounting methods, exergy balance provides insights into the amount of energy that can be potentially recovered off the body’s wake, which further translates into potential efficiency gains of the integrated engine-wing system. In this study, a far-field exergy balance method was used to determine the total drag of a three-dimensional wing. The far-field drag prediction was verified against near-field calculations. In addition, drag decomposition using exergetic terms was conducted to identify drag components that contain possibly recoverable energy. Such analysis can be subsequently used to educate the integration of a propulsion system to exploit the potentially recoverable wake energy and deliver an integrated engine-wing system with enhanced installed efficiency. The present methodology is a major step ahead in the application of far-field methods on three-dimensional wake domains and can potentially become a major enabler for optimal propulsion integration for future, novel aircraft-engine configurations.

Borderless Fusion Financial Management Innovation Based on Speech Recognition Technology

In recent years, the rapid development of information technology has affected the operation of the world economy, and the emergence of e-commerce has decreased significantly. The development of modern information technology, especially the development of Internet technology, provides a solid foundation for e-commerce. The time and space gap between economic operators is shortened, and resources are shared as widely as possible. Based on a comprehensive and in-depth study of language recognition technology. However, the current e-commerce financial management still uses the traditional accounting method, which is inefficient and cannot be integrated with new technologies. This paper proposes a design scheme for a nonspecific person and small vocabulary language recognition system based on SPCE061A processor. This integrated system can be combined with data acquisition and language input technology and constitute a data acquisition and input system. It is used for data collection and input of instruments and meters in the workplace to improve work efficiency. This paper proposes algorithms based on time-domain energy and zero-crossing rate detection, detection based on entropy function method, and detection based on the double-threshold method. The speech recognition technology is analyzed in detail, and a new model of financial management is constructed. Accounting information disclosure is a virtuous circle of “promoting capital management with appropriate decentralization.” The experimental results in this paper show that through model construction, the calculated WER is 0 dm, 7 dm, 15 dm, and 11 dm, respectively, and it is concluded that the system exhibits good antinoise performance.

Application of ABB in environmental management accounting: Incorporating MFCA into the budget process

Traditional management accounting methods are difficult to provide the necessary information for environmental economic management decisions. In response to the increasingly urgent need for decision-related information, a new branch of accounting, environmental management accounting, has emerged and is receiving increasing attention. Material Flow Cost Accounting (MFCA) is a useful tool for managing complex resource and waste streams. However, MFCA is mainly used for ex-post accounting and reporting and no efforts are made to use it for forecasting. In this study, we introduce MFCA method into the budgeting process of manufacturing firms, and thus construct an MFCA-ABB (Activity-Based Budget) model. This model is applied to JLC Company which is a fragrant liquor manufacturer in China, in order to forecast and plan for its resource consumption, positive product output, and negative product generation. Based on the forecasts of involved material flows, inefficiencies in the company’s liquor production process are identified; scenario analysis is then conducted to determine the optimal process and the technology adopted. The proposed MFCA-ABB model turns a pure operating budget into an environmental-economic budget, thus achieving both environmental and economic benefits for the company. Besides, this study makes an attempt to apply ABB in environmental management accounting, which suggests the possibility of applying the conventional management accounting tools, after modified, to the environmental-economic management of manufacturing firms in the future.

Analytical Study of Financial Accounting and Management Trends Based on the Internet Era.

With the development of Internet technology and computer technology, the network has provided convenience to enterprises while putting forward new requirements for the development of the accounting industry. The combination of traditional financial accounting methods and computerized information technology enables accurate and rapid transmission of financial data. At the same time, the application of network technology optimizes the financial accounting process of enterprises and greatly improves the efficiency of accounting work and accountants can devote more time and energy to the analysis of enterprise financial information. However, with the application of Internet technology, the change in financial accounting has also generated new problems. The article focuses on the topic of financial accounting; first, it briefly introduces the development history of financial accounting and the Internet; second, it discusses the changes in accounting work mode and its characteristics under the network environment and analyzes the advantages and problems of combining network technology and financial accounting; and finally, it puts forward the countermeasures to solve the “Internet+” era financial accounting work for the current situation. Finally, the countermeasures to solve the financial accounting work in the era of “Internet+” are proposed to improve the professional ability of financial personnel.

The Influence of Contingent Factors on Spreading the Activity-Based Costing Method (II)

The ABC (Activity-Based Costing) method is a special form of functional analysis of the costs, providing a modern understanding and a more accurate description of these and reflect an organisation’s financial status more accurately than the traditional accounting methods. Since its introduction at the end of the 80s, researchers all over the world have tried to assess the degree to which the companies have adopted and implemented the ABC method in various countries, as well as to identify the factors influencing its adoption and implementation.

The Influence of Contingent Factors on Spreading the Activity-Based Costing Method (I)

The ABC (Activity-Based Costing) method is a special form of functional analysis of the costs, providing a modern understanding and a more accurate description of these and reflect an organisation’s financial status more accurately than the traditional accounting methods. Since its introduction at the end of the 80s, researchers all over the world have tried to assess the degree to which the companies have adopted and implemented the ABC method in various countries, as well as to identify the factors influencing its adoption and implementation.

МЕТОДИЧЕСКИЕ ВОПРОСЫ ВНЕДРЕНИЯ ИНСТРУМЕНТОВ БЕРЕЖЛИВОГО УЧЕТА В ПРАКТИКУ УПРАВЛЕНЧЕСКОГО УЧЕТА РОССИЙСКОГО БИЗНЕСА

The article discusses some key issues related to the introduction of lean accounting. Special attention is paid to the parallel use of classical management and lean accounting methods. The necessity and possibility of creating a combined management accounting system that allows you to effectively track expenses based on traditional accounting methods, simultaneously identifying and assessing losses due to inefficient business processes, unproductive operations, violations of their deadlines, etc. are substantiated.

INTELLECTUAL CAPITAL ACCOUNTING – A CHALLENGE OF MODERN ACCOUNTING

In the context of the new global knowledge economy, hidden intangible assets (intellectual capital) have become the main generator of added economic value and the one that creates significant competitive advantages in the business world, but traditional valuation and accounting methods, in addition to referring only to past issues, they fail to provide concrete solutions regarding the valuation and accounting of all intangible assets generating value and competitive advantages of contemporary enterprises. This study aims to show the importance of hidden intangible assets (intellectual capital) in the knowledge economy, what are the modern methods of valuing and accounting for them and to what extent these methods manage to provide solutions to the reported valuation and accounting difficulties.

Sustainable Development of Tourism under the Background of Low-Carbon and Green Economy

The development of tourism industry not only promotes social and economic progress and the improvement of people’s happiness index but also causes resource damage and environmental pollution, which not only affects our living environment but also directly threatens the survival and development of mankind. Therefore, how tourism will develop in the context of low-carbon green economy has become the main problem of tourism development. Based on the above background, in order to solve the development problem of tourism in the future under the low-carbon green economy, based on the research results at home and abroad, starting from the starting point of sustainable development of tourism, this paper introduces the concept of “tourism consumption separation rate” and uses Kaya traditional accounting method. The structural decomposition analysis method and cointegration relationship test method are used to calculate, analyze, and test the tourism carbon emissions and influencing factors at the overall level of China and the middle, western, and eastern regions. Through this method, the accuracy of the calculation results is improved by 30%, which increases the accuracy of the experimental data and is more practical.