Enterprise Information Management Research Articles

Construction of Logistics Information Management of Small and Medium-sized Enterprises Relying on Recursive Algorithm

With the rapid development of information technology, the application of information technology in logistics management is more and more, which makes traditional logistics gradually move towards modern logistics, and realizes the optimal allocation of logistics management and resources; at the same time, the logistics industry is also faced with huge data flow. , the low level of informatization and many other challenges, these problems restrict the development of enterprises. In order to solve many problems existing in the construction of logistics management informatization, this paper analyzes logistics management and its informatization application. By understanding the current situation of logistics management in small and medium-sized enterprises, it studies how to construct the informatization application of logistics management in small and medium-sized enterprises, and adds recursive algorithm to the informatization application, and finally constructs a logistics management informatization system. The system is realized through the architecture of B/S model, and the function and performance of the system are tested. The test results show that the system functions well, the maximum load capacity of the system is 600, and the longest response time does not exceed about 20s. The test results are in line with expectations, indicating that the recursive algorithm constructed in this paper is effective in the application of logistics management informatization.

Identifying the limitations associated with machine learning techniques in performing accounting tasks

PurposeIn a virtual interconnected digital space, the metaverse encompasses various virtual environments where people can interact, including engaging in business activities. Machine learning (ML) is a strategic technology that enables digital transformation to the metaverse, and it is becoming a more prevalent driver of business performance and reporting on performance. However, ML has limitations, and using the technology in business processes, such as accounting, poses a technology governance failure risk. To address this risk, decision makers and those tasked to govern these technologies must understand where the technology fits into the business process and consider its limitations to enable a governed transition to the metaverse. Using selected accounting processes, this study aims to describe the limitations that ML techniques pose to ensure the quality of financial information.Design/methodology/approachA grounded theory literature review method, consisting of five iterative stages, was used to identify the accounting tasks that ML could perform in the respective accounting processes, describe the ML techniques that could be applied to each accounting task and identify the limitations associated with the individual techniques.FindingsThis study finds that limitations such as data availability and training time may impact the quality of the financial information and that ML techniques and their limitations must be clearly understood when developing and implementing technology governance measures.Originality/valueThe study contributes to the growing literature on enterprise information and technology management and governance. In this study, the authors integrated current ML knowledge into an accounting context. As accounting is a pervasive aspect of business, the insights from this study will benefit decision makers and those tasked to govern these technologies to understand how some processes are more likely to be affected by certain limitations and how this may impact the accounting objectives. It will also benefit those users hoping to exploit the advantages of ML in their accounting processes while understanding the specific technology limitations on an accounting task level.

Implementation of corporate social responsibility in the context of integration with the enterprise management information system

Purpose. To develop recommendations for the corporate digital responsibility (CDR) strategy aimed at increasing the level of integration of corporate social responsibility (CSR) and information systems (IS) of the company. To develop a mathematical model of coordination decisions regarding CSR with production and business activities of companies. Methodology. The introduction of the methods of: logical generalization made it possible to define CDR adapted to Ukrainian realities; analysis and synthesis – to point out the need to integrate CSR with IS; comparative analysis – to determine directions, tasks, requirements for the implementation of CDR; logical abstraction – to substantiate the need to implement strategy for CDR implementation, develop its stages, tasks and goals of each stages; mathematical analysis – to develop mathematical model of coordination of management decisions. Findings. A definition of CDR, adapted to Ukrainian reality, which became the conceptual basis of the presented research, is proposed. The need for integration of CSR and IS and the formation of a new mechanism – CDR, as a result of the evolution of CSR, is substantiated. The directions, tasks, and requirements for the implementation of CDR are defined. The need to implement the strategy for the implementation of CDR are substantiated, its stages, tasks and goals of each stage are developed. It is indicated that the integration of CSR and IS can take place iteratively, with management gaining experience and finding optimal methods and tools. Originality. A mathematical model that allows one not only to coordinate various management decisions, but also to forecast their short-term and long-term results, is developed. Practical value. The proposed approach to CDR strategy formation will increase the effectiveness of CDR and improve the integration of CSR and IS. The developed mathematical model will allow one not only to solve the problem of coordination of management decisions, but will also help to economically spend IT resources and speed up the delivery of results.

Establishing enterprise information management platform using cloud storage technology under e-commerce environment

Establishing enterprise information management platform using cloud storage technology under e-commerce environment

ПРИМЕНЕНИЕ КОМПЬЮТЕРНЫХ СЕТЕВЫХ ТЕХНОЛОГИЙ В ИНФОРМАТИЗАЦИИ ПРЕДПРИЯТИЯ

Having accepted information management and enterprise innovations as the main object of analysis, the basis is the integration of computer network technologies to create a diversified enterprise information management system and integrate it into day-to-day business management, financial control, internal control and management of electronic files of the enterprise. At the same time, this article analyzes computer viruses, hacker intrusions, security and other problems that exist when using computer network technologies, emphasizing that in the process of implementing the construction of informatization, enterprises should step up efforts to control the security of information technologies and conduct reasonable software updates and innovations in the staff team in order to provide a good guarantee of information development enterprises.

INFORMATION PROCESSES IN MODERN ENTERPRISE MANAGEMENT IN THE SYSTEM OF VIRTUAL ECONOMY

The developed methodological recommendations regarding the formation of a range of scenarios for the development of industrial enterprise activity, taking into account the indicators of enterprise management information processes based on the construction of management scenarios allow to explore the activity of the enterprise comprehensively. The proposed and implemented recommendations during the evaluation of information management processes of the enterprise, combine the scenario approach and the method of correlation-regression analysis, as well as they allow to determine the impact of integrated indicators of labor, manufacturing and financial sphere on the indicator of ensuring the management effectiveness regarding information processes using different scenarios: pessimistic, neutral, optimistic. An important step in the evaluation process of the enterprise’s activity is to determine the dominant in different development scenarios factors which influence the effectiveness of the information process of industrial enterprise management. Thus, during the pessimistic and neutral scenario, enterprise development is possible by increasing the usage efficiency of production means, such as labor and production funds. During the transformation, process from a pessimistic to a neutral scenario, the role of material incentives increases, in particular, the size of wages. In terms of the optimistic development scenario of enterprise, the priority of the solvency factor is increasing. Identified dominant factors make it possible to influence the state of the enterprise and reduce its sensitivity to changes. The developed methodical approach to the evaluation of the enterprise’s information management process effectiveness is aimed at determining the critical levels of indicators, compliance with these indicators will improve the efficiency of the information management process of an industrial enterprise in case of gradual implementation of its stages. Implementation of the proposed methodological approach based on determination of indicators` limiting values allows to make the transition of the enterprise from a pessimistic development scenario to a neutral one, as well as from a neutral one to an optimistic, which in turn provides an opportunity to determine the target development parameters of the enterprise depending on the current state of its activity.

Development and application of web information system in enterprise management under SSH framework

With the development of information technology in society, many enterprises have set a set of enterprise information management systems for themselves. This paper proposes an Enterprise Management Information System based on the SSH framework for the Web. Firstly, the key technology in Web, Java 2 Platform, Enterprise Edition (J2EE), is combined with Spring-Strut-Hibernate (SSH) framework, and a lightweight solution of J2EE Web application is adopted to build a Web application with a clear structure, good reusability, and easy maintenance in a short period. The functional design and development process of the information system is explored and studied in detail, and computer software design and development technologies, tools, and methods are used to build an information solution for the enterprise project management business. The internal functions of the system are divided into project planning, implementation, suspension, change, evaluation, and result management, which can provide information technology tools to support the enterprise project management business according to its actual content and management mode. All key information of this system is stored in the database, and the database tables can be divided into system-like tables and project-like tables according to the design and definition classification. Finally, the implementation of some major functional modules in this system. The integration of the system SSH and the main public functions are implemented, and then the details of how the key functions such as user login, project information filling, and auditing are implemented in the enterprise project management information system, and how the document generation function is implemented after project approval. In this paper, the enterprise management information system performance test showed that the system response time, average occupancy rate of CPU, and memory during the test have reached the expected requirement. The maximum response time of 2.423 seconds, CPU and memory (physical) maximum average occupancy rate of 21.24% and 25.25%, respectively, all conform to the requirements of the performance index.

Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation

Learning and development, or L&D, plays an important role in talent management, which aims to improve the knowledge and capabilities of employees through a variety of performance-oriented training activities. Recently, with the rapid development of enterprise management information systems, many research efforts and industrial practices have been devoted to building personalized employee training course recommender systems. Nevertheless, a widespread challenge is how to provide explainable recommendations with the consideration of different learning motivations from talents. To this end, we propose CKGE, a contextualized knowledge graph (KG) embedding approach for developing an explainable training course recommender system. A novel perspective of CKGE is to integrate both the contextualized neighbor semantics and high-order connections as motivation-aware information for learning effective representations of talents and courses. Specifically, in CKGE, for each entity pair (i.e., the talent-course pair), we first construct a meta-graph, including the neighbors of each entity and the meta-paths between entities as motivation-aware information. Then, we develop a novel KG-based Transformer, which can serialize entities and paths in the meta-graph as a sequential input, with the specially designed relational attention and structural encoding mechanisms to better model the global dependence of KG structured data. Meanwhile, the local path mask prediction can effectively reveal the importance of different paths. As a result, CKGE not only can make precise predictions but also can discriminate the saliencies of meta-paths in characterizing corresponding preferences. Extensive experiments on real-world and public datasets clearly validate the effectiveness and interpretability of CKGE compared with state-of-the-art baselines.

Research on Improvement of Hotel Supply Chain Resource Management Decision in the Era of Big Data

Hotel supply chain management (SCM) refers to the material service that takes a hotel as the core object. At present, the main method is centralized SCM, which uses integer programming or mixed integer programming to establish and solve the allocation management of various resources among hotels in the supply chain. In this article, based on ant colony algorithm (ACA), the hotel SCM mode is studied and optimized. The research shows that the convergence path is A-S4-M3-L3-D1-R1-T. Therefore, the optimal partner combination meeting the requirements of the supply chain is S4, M3, L3, D1 and R1. The experiment shows that the max-min ACA is effective to solve the problem of partner selection in hotel supply chain. By using enterprise management technology, information technology, network technology and SCM technology under ACA, the effective rules and control of information flow, logistics, capital flow, business flow and value flow in the whole supply chain can be achieved, and the maximum benefit of the whole hotel supply chain can be realized.

Passenger flow prediction and management method of urban public transport based on SDAE model and improved Bi-LSTM neural network

In the era of big data, the exponentially increasing data volume and emerging technical tools have put forward new requirements for enterprise information management. Therefore, it is of great significance to enhance the core competitiveness of enterprises to explore how big data can empower the innovation of enterprise information management. Intelligent transportation system combines a variety of technologies and applies them to a large-scale transportation management system, so as to make a reasonable dispatch of traffic conditions. Aiming at the problem of the relatively low accuracy of bus passenger flow forecasting with the existing models, a short-term passenger flow prediction model combining Stacked Denoising Auto Encoder (SDAE) and improved bidirectional Long-short Term Memory network (Bi-LSTM) is proposed. First, the SDAE model is used to fill in the missing bus passenger flow data, the characteristics of the bus passenger flow data are effectively utilized, and the data with rich information is used to predict the missing values with high accuracy. Second, Bi-LSTM model combined with attention mechanism is used for short-term bus passenger flow prediction. Considering that the data sequence of bus passenger flow is relatively long and there is a two-way information flow, the BiLSTM neural network is used for prediction tasks, and the influence of key factors is highlighted through attention weights to mine the internal laws of passenger flow data. The experimental results show that the proposed method achieves the lowest prediction error among all the comparison methods in the task of short-term bus passenger flow prediction on the public transportation dataset, with MAE, MRE, and RMSE values of 6.014, 0.052, and 9.874, respectively. These findings confirmed the effectiveness of the new model in the passenger flow prediction field.

ACCOUNTING INFORMATION SYSTEMS IN THE MANAGERIAL PRACTICE OF ENTERPRISE MANAGEMENT

Introduction. Modern business activity of any enterprise requires the use of financial resources management tools. Financial activity of enterprises is a key element that ensures the efficiency and success of modern business. However, in order to ensure effective management of finances and organization of their high-quality distribution, placement and use, it is necessary to form a rational procedure of the accounting process, within the framework of which the company's accounting is carried out. Methods. General scientific and special methods were used in the work in order to achieve the set goal: dialectical method of scientific knowledge – to consider the essence of accounting; synthesis – to clarify the relationships between business entities in the process of accounting and its impact on management processes; graphic – for visual display of the obtained results; abstract and logical method – for forming research conclusions and proposals. Results. The role and significance of accounting in the enterprise management information system as a specific management function is substantiated. It has been established that in modern business conditions, the role of accounting as an information system is not only to record information in reporting on events that took place in past reporting periods, but primarily to help and facilitate the management system of the enterprise to determine the current and strategic goals of the activity and to model future ones management decisions. It is proven that the use of modern information systems allows solving the problem of integration of management and financial accounting with the management system. Discussion. Further scientific research of the problem should be directed to an in-depth study of the application of digital computer and telecommunication technology, which is based on the use of artificial intelligence for enterprise management. Keywords: accounting, information support, management, information base, information system, digitalization, information management technologies.

MATHEMATICAL METHODS OF ECONOMIC ANALYSIS SOLVING PROBLEMS

MATHEMATICAL METHODS OF ECONOMIC ANALYSIS SOLVING PROBLEMS

Research on the Strategy of Commercial Enterprise Project Management under the Background of Informatization

With the continuous development of science and technology, the information age has come. To establish a modern enterprise system, project management must be carried out according to the implementation rules and organizational requirements, so as to promote enterprises to obtain more economic benefits through project management. Compared with the traditional management mode, information management has a very significant advantage. It can not only optimize the existing management system, improve the management efficiency and competitiveness of commercial enterprises, but also promote the deepening reform within enterprises, improve the creativity and innovation consciousness of the whole enterprise and promote the sustainable development of commercial enterprises. This paper discusses the concept of information management of commercial enterprises, the problems existing in the current project management of commercial enterprises and how to improve the project management of commercial enterprises under the background of information technology. Generally speaking, the project management strategy of commercial enterprises under the background of informatization should start with perfecting the standard system of informatization construction, creating a good project management culture and optimizing human resource management. It is hoped that this research can provide some help for speeding up the informatization process of project management in commercial enterprises and promoting the innovation of project management mode in enterprises.

Application of Big Data Technology in Enterprise Information Security Management and Risk Assessment

Nowadays, the application of enterprise management information has been deeply rooted in daily business activities, and the management risk of enterprise information security (EIS) has also increased. The use of advanced means to provide security protection for it has become the top priority. To optimize the EIS management system, and carry on the risk assessment (RA), firstly, this study analyzes the current situation of the enterprise's internal information management and summarizes the shortcomings and security risks faced by the system. In the era of big data (BD), the security risks of database information systems show a diversified trend. Secondly, to explore the application of BD technology in EIS management, the characteristics of this technology and security control measures for risks are summarized to strengthen the enterprise's information management innovation and implement the application of data security technology.

Особливості інформаційного забезпечення фінансового контролінгу підприємств

Abstract. Introduction. The article is devoted to the study of information support for financial controlling of enterprises. The need to introduce an effective system of financial controlling at domestic enterprises, which makes it possible to predict all possible adverse economic situations and avoid them, is substantiated. The essence of financial control as a method of management and as a concept comes down to the process of studying, comparing, identifying, fixing problems of the content and reflecting them in the accounting of economic transactions and taking measures to solve them, eliminate violations, and prevent them in the future. The task of the development of financial control is the implementation of such a mechanism that would help to avoid various abuses and violations, as well as other types of concealment of information, especially those related to the company's financial flows. Purpose. The purpose of this study is to determine the key features of financial controlling and its goals against the background of information support, as well as the characteristics of the technology for generating information resources necessary for reporting while providing internal users with operational accounting data in the process of preparing management decisions. Results. An important factor that leads to the adoption of incorrect management decisions is the decrease in the effective control system at many domestic enterprises. Thus, control is a means of predicting adverse economic situations and their elimination. One of the modern directions of effective business management is financial controlling, which is aimed at ensuring the fulfillment of financial tasks defined by the system of the plan of financial indicators and regulations; measurement of the level of deviation of the actual results of financial activity from the predicted ones; making operational management decisions regarding the normalization of the company's financial activities in accordance with the established tasks and indicators; adjustment as necessary of some tasks and indicators of financial development in connection with the external financial environment, the conjuncture of changes in the conditions of the financial market and the internal economic activity of the enterprise. That is, financial controlling should provide the management with the necessary information about the structure of costs, the amount of profit, the deviation of actual data from the planned, so that the management can make an informed decision about management.Without an effective management system, as well as a controlling system that provides information and serviceanalytical support to management, it is practically impossible to ensure the competitiveness and efficiency of business, to achieve stable long-term success. At the current stage, the question arises regarding the automation of economic processes, the introduction of digital forms, types and methods of financial controlling at enterprises. Financial controlling, as a modern management concept, is the object of research by many scientists. Such scientists as: S. Holovatska, N. Davydenko, I. Davidovych, O. Ostashko, O. Tereshchenko, S. Falko and others are engaged in the research of theoretical and practical aspects of the implementation of financial controlling. At the same time, not enough attention is paid to determining the role of information support of the financial controlling system at the enterprise. Conclusions. Effective functioning of the enterprise is impossible without the creation of reliable and timely information support for the management process. Among the most important elements of the technology for the formation of information resources of any enterprise is controlling, which is able to ensure the maintenance of the internal balance of its economy and effective development through the formation of objective information about costs and revenues, which makes it possible to make optimal management decisions. The company's financial controlling system, which is combined with information and communication technologies and software products, allows timely submission of information to internal management, quick control of costs and evaluation of activity results. To automate all internal business processes, optimize the management structure, improve interaction between sectors, as well as operational analysis of the situation and making management decisions based on complete, reliable information, the implementation of the ERP system in the enterprise is effective. Further research in this direction will concern the development of recommendations for the improvement of enterprise management information systems.

Analysis of cutting-edge technologies for enterprise information system and management

ABSTRACT In the digital age, businesses collect vast amounts of data, but often lack the knowledge and tools to fully utilize it. This paper analyzes current information management practices across different domains and highlights the need for global standards and cutting-edge technologies such as AI, ML, DL, and cloud/edge computing. By examining trends in published research, the study proposes new research lines and provides a comprehensive overview of the field’s development, definitions, and trends. The research contributes significantly to the subject of information management and offers a synthesized description of the field’s state.

Design and Application of College Student Management System Based on Big Data Technology

In order to effectively manage the employment information of colleges and universities and improve the employment ratio of college graduates, the employment information management system of colleges and universities under the big data environment is designed. The graduate management platform in the system is used for graduates to edit personal information, understand employment-related information, and check recruitment information. The enterprise information management platform is used for enterprises to edit their own materials and publish recruitment information, so as to find graduates meeting the job requirements. The personalized recommendation platform uses the recommendation method based on users’ historical information to achieve offline employment recommendation and uses the recommendation method based on real-time user behavior data to achieve online real-time employment recommendation and improve the employment ratio. The employment information tracking management platform is responsible for recording graduates’ employment information and verifying the authenticity of recruitment information. The experimental results show that the system has a fast response time and low resource occupancy rate when the number of concurrent users is different. The employment rate of college graduates is effectively increased.

Impact of Cloud Services on Performance of Information Management of Small Enterprises. A Review of the Literature

Purpose: The aim of the study is to examine the impact of cloud technology on performance of information Management in Small Enterprises.
 Methodology: This study adopted a desktop literature review. It utilized content analysis of the reviewed literature related to cloud computing in in small enterprises.
 Findings: The study revealed that the adoption of cloud computing contributes to improved performance of SME’s. The small enterprises have been able to serve their customers better and have reduced operational costs and increased profits. Cloud computing also helps organizations and SME’S to offer decentralized services and give flexibility to staff as they can operate wherever they are as long as they have internet connection.
 Unique Contribution to Theory, Practice and Policy: The study recommended that issues associated with connectivity and speed of access should be addressed by government bodies concerned with internet service provision regulation. The service providers should ensure that the systems are user friendly easy to use to enable better adoption access across the rest of the SME’s so that the effect of cloud service can be realized.

Special Issues, Guest Editors’ Reflections

ISAHP 2022 was an excellent meeting! We secured quite a few special issues for conference participants. Yet, these reflections are confined to the Journal of Enterprise Information Management (JEIM) and the Journal of Multiple Criteria Decision Analysis (JMCDA). JEIM will be guest edited by Birsen Karpak, Emel Aktas and Ilker Topcu; we are pleased with this international cooperation among the USA, the UK, and Turkey. The guest editors for JMCDA will be Birsen Karpak and Enrique Mu. Even though we are reflecting upon submissions for the two journals (JEIM and JMCDA), quite a few of the following suggestions are useful for any special issue of IJAHP.

Deep Mining Technology of Database Information Based on Artificial Intelligence Technology

The database is the core of the information management system. When there is no modern management tool such as enterprise information management system, the status of enterprise resources and the direction of adjustment are unclear, and it is quite difficult to make adjustment arrangements. In order to improve the information mining ability of enterprise database in the future, this paper combines intelligent optimization technology under artificial intelligence technology with information mining technology, and compares its information mining ability with traditional technology. The research results show that after using the intelligent optimization algorithm, the maximum mining times can reach 60 times/min, while the maximum mining times of the traditional algorithm is 33 times/min. This shows that the mining speed of the intelligent optimization algorithm used in this paper is much higher than that of the traditional algorithm. And the mining speed of enterprises transformed through intelligent optimization is nearly 40% higher than that of traditional algorithms.