Process Financial Information Research Articles

Comparative analysis of traditional and automated financial management methods

The article examines the problems of using traditional and automated methods of financial management, the relevance of which is due to the rapid digital transformation, which creates the need to rethink the methodological foundations. In science, there is a contradiction between established classical management practices and new capabilities of automated systems, which creates uncertainty when choosing optimal approaches to the organization of financial processes. The purpose of the study is to conduct a comprehensive comparative analysis of the management methods under consideration based on a system of criteria (methodology for processing financial information, time characteristics of accounting processes, structure of information flows, mechanisms for controlling operations, principles of reporting, organization of analytical accounting, decision–making procedures, data integration, system scalability, documentation support). The author’s vision of the advantages, disadvantages and limitations of classical options and automation is formulated. It was possible to conclude that the fundamental differences between the characterized methods are determined not only by technological potential, but also by fundamentally different approaches to the organization of information processes. At the same time, the identified differences do not exclude the possibility of methodological integration, provided that the basic principles of financial management are preserved. The presented materials are of practical value to the heads of financial departments, accounting process methodologists, developers of automated management systems.

Exploring financial graph literacy: determinants and influence on financial behavior

Purpose Graphs are widely used in the banking and finance domain to support consumers’ decision-making process, but subjects differ in their ability to understand them. This study aims to detect the determinants of the ability to read and process financial information conveyed in the graphical format, i.e. financial graph literacy (FGL) and the relationship between FGL and subjects’ actual financial behavior (FB). Design/methodology/approach Data are collected by administering a structured questionnaire to the Italian adult population (n = 502). The survey includes different sections aimed at collecting information about sociodemographic and socioeconomic variables, financial literacy and FB. The econometric analyses are developed using OLS and Poisson regressions. Findings The results show that gender, geographical area, education, marital status and income are crucial determinants of FGL. Moreover, the analysis reveals that an increase in the FGL indicator is associated with a higher propensity for individuals to purchase banking or financial products or actively manage financial resources; results are robust, even controlling for financial knowledge. Originality/value Although previous research investigates the impact of graphs in financial decision-making, no studies measure the ability of consumers to read and interpret financial information conveyed in the graphical format. This study is the first to investigate the determinants of FGL and link it to actual FB. Implications for policymakers, regulatory and supervisory authorities and financial intermediaries are discussed.

Consumer Engagement with Financial Content: A Review of Media Influence on Mortgage Decision-Making.

This review examines the multifaceted role of media in shaping consumer engagement with financial content, particularly in the realm of mortgage decision-making. Drawing from a diverse array of studies, it is noted that "media can significantly affect how consumers perceive and process financial information" (Lusardi & Mitchell, 2014). This review critically evaluates how various media forms—from traditional print to digital platforms—impact consumer behavior within the mortgage market. The review is thematically organized to elucidate key findings on media’s impact on decision-making, identify significant gaps in existing research, and highlight crucial areas warranting further exploration. Conclusively, it asserts that while media significantly influences mortgage choices, there remains an urgent need for enhanced financial education and critical engagement among consumers. "The implications for practitioners and policymakers are discussed, alongside proposed directions for future research endeavors" (Gathergood & Weber, 2014).

The intelligent prediction and assessment of financial information risk in the cloud computing model

cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user. This report explores the intersection of cloud computing and financial information processing, identifying risks and challenges faced by financial institutions in adopting cloud technology. It discusses the need for intelligent solutions to enhance data processing efficiency and accuracy while addressing security and privacy concerns. Drawing on regulatory frameworks, the report proposes policy recommendations to mitigate concentration risks associated with cloud computing in the financial industry. By combining intelligent forecasting and evaluation technologies with cloud computing models, the study aims to provide effective solutions for financial data processing and management, facilitating the industry's transition towards digital transformation.

СОЦИАЛЬНО-ЭКОНОМИЧЕСКИЕ ИССЛЕДОВАНИЯ СИСТЕМ УПРАВЛЕНИЯ ПРЕДПРИНИМАТЕЛЬСКИМИ СТРУКТУРАМИ

The article highlights and substantiates the role of socio-economic research of business management systems from the point of view of scientific validity. Three epistemological principles of applying the qualimetric approach, that is, alternating processing of qualitative, quantitative and financial information to build and test hypotheses, are analyzed and substantiated: the principle of contradictory intersubjectivity; the principle of cognitive interactivity; the principle of general unpredictability. The scientific novelty and practical significance of the work lies in the identification of research interventions in the management system of business structures, based on socio-economic research, which allow to deepen scientific knowledge about current and future realities through the creation of complex concepts, methods and tools for effective management of an entrepreneurial structure.

Artificial Intelligence and Its Impact to the Operations of Enterprises: Basis for Strategic Plan

Artificial intelligence has had a profound impact on the production and operation management of enterprises, including human resource management, financial management, production management, and decision-making assistance. Artificial intelligence can improve production and management efficiency, and reduce costs. It can improve the quality and specialization level of financial information processing, achieve intelligent financial management, and improve the efficiency and accuracy of financial management. The development of artificial intelligence may have an impact and crowding out effect on jobs with primary repetitive standardized processes, leading to a reduction and adjustment of some positions, while also providing new employment opportunities. The application of artificial intelligence in production and operation management can strengthen enterprise supply chain management, improve quality inspection efficiency, reduce operating costs, improve production efficiency, enhance the scientificity of enterprise management, thereby improving management efficiency and economic benefits, and promoting enterprise development and competitiveness. At the same time, it is necessary to pay attention to data security management and privacy protection, reduce the cost of using and maintaining artificial intelligence, continuously improve and perfect artificial intelligence tools, effectively enhance the use of artificial intelligence in accordance with regulations, and pay attention to the risk of personnel unemployment caused by the application of artificial intelligence. Therefore, it is suggested that senior leaders of enterprises should attach great importance to the application of artificial intelligence, increase funding, provide budget support and resource investment, strengthen data quality management and customized analysis capabilities, reduce usage and maintenance costs, promote human-machine cooperation, strengthen the application of artificial intelligence in business management, attach importance to employee training and transformation support, and pay attention to technological development trends, optimize and expand application scenarios, Actively explore and apply artificial intelligence tools to enhance the competitiveness of enterprises. The government should formulate relevant policies and regulations, strengthen education and training support, promote the development of the artificial intelligence industry, strengthen international cooperation and exchanges, formulate policies to promote employment and social security systems, encourage innovation and entrepreneurship, strengthen supervision and regulation, and promote the comprehensive application of artificial intelligence in enterprise management.

The Effect of Personalized Communication on Investor Earnings Fixation

ABSTRACT Technology makes it possible for management to personalize communication with individual investors on a broad scale. Building on information processing research, we predict and find that personalized communication prompts investors to process financial information more systematically and rely less on summary measures, such as earnings. Investors receiving more (as opposed to less) personalized communication respond less to management’s myopic decisions that boost short-term performance in their assessments of investment attractiveness, such that they assess a company that increases R&D (at the expense of net income) as more attractive and a company that decreases R&D as less attractive. Further analysis suggests this result is driven by investors with greater experience evaluating financial statements processing the longer-term implications of R&D expenditures for performance more fully when personalization is present. Our paper speaks to investor earnings fixation and myopic behavior from management and provides insights for implementing investor communication strategies. JEL Classifications: O33; O31; L14; M41; D12; D83.

Application of Association Rule Mining Algorithm based on 5G Technology in Information Management System

In this paper, an application method of association rule mining algorithm based on 5G technology in information management system is proposed to solve the problems of long running time and low processing efficiency in traditional financial information processing system. The association rule mining algorithm's employment in information management systems is the main topic of this research study, which is based on 5G technology. The efficiency and efficacy of information management systems have a lot of room to grow with the introduction of 5G. Large datasets may be mined for patterns and associations using the potent approach known as association rule mining. We want to improve the performance of information management systems by fusing association rule mining with the capabilities of 5G technology. The experimental findings indicate that in the first group of trials, the traditional system’s time for information mining is identical to that of the developed system, which is around one minute. The typical system's time to mine financial information, however, steadily grows with the amount of experimental data. The difference between the two is most obvious in the sixth experiment. Because the design system can delve deeply into the financial information, the overall information mining time of the financial information management system based on the association rule mining algorithm of the design is shorter. It is confirmed that the system for automatically processing financial information described in this study has a high level of processing accuracy and a positive processing outcome.

DESIGN A MOSQUE MANAGEMENT INFORMATION SYSTEM (SIM2) TO FACILITATE THE MANAGEMENT OF REPORTS AND ACTIVITY INFORMATION

Industry 4.0 will be utilised by some Muslims who follow the development of information technology. The mosque is one of the places of worship in which there is an organisation. One of the divisions or sections in the mosque's organisational structure that is most rarely found is the IT (Information and Technology) field. One of the tasks of the IT field is to manage the information system in the form of documentation of activities and activities carried out at the mosque. Collecting all information about management in some mosques that follow technological developments such as activity & financial information which is useful as a source of information to determine the first steps in an effort to prosper the mosque. Such is the case at the Al-Ikhlash Karet Tengsin Mosque, Tanah Abang, Central Jakarta. Currently, information on activities conveyed to the community is still in the form of announcements posted on the mosque notice board and the process of processing financial data and information is still not integrated. As a result of this, there are many obstacles faced by the mosque management in its management affairs such as financial management and special activities of the Al-Ikhlash Mosque. The data collection method technique for making the programme is by observing interviews with partners. This interview aims to find out the problems that are being experienced. Completing the programme and obtaining satisfaction surveys from partners and participants who attended the socialisation training. It is known that the overall level of community satisfaction with community service has an average score of 4.61 and is in the Strongly Agree category. Community satisfaction related to the community service programme can be an indicator of the success of the community service programme. In addition, the community also expects cooperation with other parties, so that when the community service programme is completed, the community is able to continue the programme.

Integrated reporting, audit quality: presence of environmental auditing in an international context

PurposeThis paper aims to investigate the effect of audit quality and environmental auditing on integrated reporting and the effect of environmental auditing on audit quality.Design/methodology/approachData was collected from a sample of 300 international companies during the period 2010–2019. The author collected the data from the Thomson Reuters Eikon database, sustainability reports and annual reports. A multiple regression analysis was performed to test the hypotheses.FindingsThe finding of this study confirms a positive and significant relationship between audit quality and integrated reporting. It is also found that environmental auditing has a positive and significant effect on integrated reporting. Thus, this study found a positive and significant relationship between environmental auditing and audit quality.Practical implicationsThe findings in this paper identify strategies for improving integrated reporting as a crucial element in the processing of financial and nonfinancial information, to help managers and investors and shareholders take a long-term perspective. Therefore, the results encourage companies to invest in economic, environmental and social aspects. This enables accounting professionals, stock exchange authorities and users of environmental and social information to be aware of the factors associated with environmental reporting, to improve the efficiency of those producing the audit service.Originality/valueThe originality of this study lies in its consideration of a particular aspect of auditing, namely, environmental auditing. However, despite the large body of research on auditing and integrated reporting, to the best of the author’s knowledge, this is the first study to examine the relationship between environmental auditing and integrated reporting. Furthermore, in this research, the author has emphasized the importance of the role played by environmental auditing on audit quality. This design has been neglected in previous studies. Finally, the choice of the field of investigation for the reliability of the data used and the generalization of the results obtained, enables us to make important contributions to the user of the information.

Where prices are not lazy: Evidence from REITs and the financial sector

This study investigates information processing and return predictability from reporting textual uniqueness. Latest research describes a positive link between changes in financial reports and future returns for corporates in general. In this context, we exploit the unique homogeneity of U.S. Real Estate Investment Trusts (REITs) and find no significant impact of textual uniqueness on future returns, suggesting efficient processing of financial information in this environment. The effect of reporting textual uniqueness for firms from the financial sector is, albeit small, apparent. We argue that the documented strong effects cannot be readily generalized and may be dependent on the observed industry.

A New Transparent and Secured Transmission Routing Method for Blockchain Data in Management Systems

A significant quantity of information, particularly financial data, has now been growing in accordance with the advancement of information technologies. Due to the prevalence of fraud, it is impossible to identify the data sources for corporate financial data and the applicable employees. There are substantial issues with nonstandard behavior and a lack of critical financial data of these firms, as evidenced by the fact that the majority of employees are not capable of perform appropriate queries on the needed financial statements. It has consistently created financial information management for companies more difficult, posed a risk to the entire company's ecosystem, and hurt the interests of several parties, among other concerns, because many analogous concerns were not satisfactorily addressed. Blockchain has garnered a great deal of attention recently, and Crypto currency and other crypto currencies have gained popularity as a result. This is because of the characteristics of blockchain, like centralized control, confidentiality, truthfulness, and lack of courage, which make data difficult to predict and tamper with. According to current implementation and exploration, blockchain has emerged as a novel solution to issues relating to company financial information management since these features are connected to the data storage privacy and data transfer speed required by this type of management. In order to construct a transparent and secured transmission method for blockchain data, the study deployed blockchain for managing the financial management framework and information processing strategy. In terms of security level, throughput, run time, and scalability, the suggested Blockchain solution is contrasted with existing approaches.

Consumer financial information processing: An integrated approach to examine individual differences

AbstractThis study applied an integrated approach to construct a hierarchical framework for consumer financial information processing. Individual differences in customers' psychological, cognitive and motivational characteristics were examined as antecedents. Using data collected from a sample of 613 U.S. adults, this study used the structural equation modeling method to identify significant direct and indirect relationships amongst personality traits, financial self‐efficacy, financial information‐gathering ability, search motivation, financial information sufficiency and the utilization of heuristics and systematic financial information‐processing modes. The results showed that consumers' information sufficiency (+) directly explained the application of the heuristic mode, whereas consumers' information gathering ability (+), motivation to search (+) and information sufficiency (+) directly explained the use of the systematic mode. Financial self‐efficacy demonstrated positive indirect associations with both heuristic and systematic modes. The results also revealed that personality traits including agreeableness, emotional stability and extraversion indirectly explained the use of information‐processing modes. Agreeableness (−) and emotional stability (+) were indirectly associated with both heuristic and systematic information processing modes, whilst extraversion (+) was only indirectly associated with the heuristic mode. Openness (+) was the only trait that was directly associated with the systematic mode. This study contributes to the literature on consumer financial information processing by connecting individuals' psychological, cognitive and motivational characteristics. The findings of this study provide valuable insights and policy and practical implications within the industry.

RESPONSIBILITY CENTRE – MANAGERIAL ACCOUNTING INSTRUMENT

The survey of industrial companies indicates that the majority of managers use information about total costs or, at best, production costs, to make managerial decisions about the effectiveness of products or services. These indicators, being characteristic of financial accounting, are calculated with great approximation on the types of products or services. Marginal costs, as an object of managerial accounting, are very rarely used in the decision-making process, because the existing expense accounting systems of most companies are not able to produce such information. Traditional accounting systems accumulate and process financial information in accordance with financial accounting principles, without tracking and separating variable and fixed costs, which would allow a clearer determination of the direct costs incurred by specific products and services. Thus, the article presents some theoretical and practical aspects regarding the implementation of responsibility centre as tools for decentralizing responsibilities through the principles of managerial accounting, which allow the accumulation and management of costs and expenses on decision-making areas of company subdivisions.

CASH FLOW ACCOUNTING INFORMATION SYSTEM AS INTERNAL CONTROL AT WATES VILLAGE

The development of information technology is currently growing rapidly, where almost all have used and developed information systems in such a way that they are able to advance and develop their business well. The existence of a good information system will produce information according to needs. Good information is information that can be presented in a timely manner, useful and reliable. One of the important information systems in an institution or agency is the Accounting Information System. Along with the increasingly rapid development, the use of computers plays an important role in various fields that support each other in aspects of life. This includes financial data and information processing systems that cannot be separated from everyday life. Because without a financial data and information processing system, activities within an organization, company or agency will not run smoothly as expected, both in terms of time and accuracy and speed of the resulting performance. This becomes an obstacle to the activities and implementation of existing activities in an organization, company or agency. Recording cash flows using books is considered less effective in terms of time and accuracy. Recording that must be done many times sometimes causes some errors so that there is often a difference between the real balance and the cash book.
 
 Keywords: System, Information, Accounting, Cash Flow

Construction of Enterprise Financial Information Intelligent Processing Innovation Model Based on Internet of Things Technology.

The application of Internet of Things technology provides conditions for the systematization of enterprise financial data and the intellectualization of financial management. In this study, support vector machine (SVM) algorithm and genetic algorithm (GA) are combined to obtain the innovation model of enterprise financial information intelligent processing based on GA-SVM optimization algorithm. Nine factors affecting enterprise financial information processing from 2010 to 2018 are selected as influencing factors, and according to the idea and method of data modeling, the simulation experiment of enterprise financial information intelligent processing model is carried out with MATLAB. The results show that the average fitness of GA-SVM is close to the best fitness, indicating that each individual in the population is near the optimal solution. The RMSE of GA-SVM is 0.35%, and the root mean square error obtained is greater than this value, which shows that the application effect of GA-SVM is significantly better than that of SVM using cross validation method, and it is more suitable for precision prediction. At the same time, it also reflects that the optimization of SVM parameters by GA is reliable. The algorithm can be better applied in the intelligent processing of enterprise financial information and can provide a certain reference for enterprises in the financial management based on the Internet of Things.

Contribution of accounting information systems on enhancing organizational performance of parishes in catholic archdiocese of Dodoma

This study aimed to assess the contribution of accounting information systems on enhancing organizational performance of parishes in the Catholic Archdiocese of Dodoma. Theoretical review support this study was based on Positive Accounting. The convergent parallel research design under mixed research approach was used in this study. Sample of 82 respondents from the population of 489 individuals used to examine the contribution of accounting information systems on organizational performance through information obtained on primary data from the study. This study employed simple random techniques and purposive sampling techniques to obtain samples from the sampling frame. Data were analyzed basing on both qualitative and quantitative data analysis methods. Quantitative data was analyzed by using statistical software called Statistical Package for Social Science (SPSS) version 23 in terms of frequencies, percentages. Thematic analysis was used to analyze the qualitative data obtained from the interviews. The results of the study found out that accounting information system has positive contributions for enhancement of the performance of the parishes within the Catholic Archdiocese of Dodoma as it simplifies processing and presenting of financial information. Also increases effectiveness, efficiency and transparency in parishes. The study recommended that, it is important for the application of accounting information system to be encouraged because the study found out a strong and positive relationship between applications of accounting information system and perish performance.

The Non-Financial Spillovers of Financial Information Processing Costs: Evidence from the U.S. XBRL Mandate

The Non-Financial Spillovers of Financial Information Processing Costs: Evidence from the U.S. XBRL Mandate

Drivers of depositor discipline in credit unions

AbstractIn this paper, we analyze whether credit unions are subject to market discipline by their (member) depositors and examine the drivers of such discipline. We first provide descriptive evidence of depositor discipline in credit unions: shares and deposits as well as savings interest rates react to variables that reflect the financial health of the credit union and its asset risk. We show that this discipline is long‐lasting and that it is mediated by the existence of a deposit guarantee scheme and by the strength of the relationship of members with the credit union. We then use proxies of the capability of members to process financial information to show that discipline is heavily influenced by member financial sophistication. Our results suggest that a type of market‐based discipline acts as a complement for regulation in controlling credit union risk taking, thus contributing to overall financial stability.

Financial Fragility, Changing Face of Academia and Their Role in the Dissemination of Financial Literacy

Financial decision making is affected by financial literacy, having its implications spread across communities, countries and the societies in general. The importance and fragility of financial literacy has been the subject of previous studies. However, current study dived deep into public and private universities to find their contribution. Longitudinal survey approach employed withmultistage stratified random sampling technique, clustered to respondents' demographics. Financial literacy is evaluated based on simplicity, relevance, brevity and capacity of differentiation. Finding reveals that the students of the private sector became more capable of processing financial information after studying finance courses. Similarly, students having finance courses before joining universities were more financially literate as compared to others. Irrefutably, the study recommends improvement in curriculum design, teaching methodology and assessment. Higher educational institutions must improve curriculum and improvise teaching pedagogies. The findings of the study have paved the road for the dissemination of financial literacy for the growth of individuals, society and the economy Keywords: Financial literacy, Financial fragility, Financial well being, Academia.