Enterprise Information Systems Research Articles

Aims and criteria for advancing technology management research at the Journal of Operations Management

Aims and criteria for advancing technology management research at the <scp>Journal of Operations Management</scp>

Strategy of Management of Functional Stability of the Information System of the Industrial Enterprise

Using algorithms of nonlinear dynamics, it is possible to form and implement a strategy for managing the functional stability of the information system of the production center. The model of the dynamic system of the control program is built according to the time realization of the input parameters of the system. The output parameters of the system are signals that come from both outside and inside the system and reflect the dynamics of the process. Integrated use of technologies of adaptive self-diagnosis of information systems of production centers in combination with realization of functionally stable production processes with integration of neural network models of dynamic systems of control programs on time realization of input parameters guarantees necessary conditions of property of functional stability of information system of industrial enterprises. Therefore, it allows to maintain the functional stability of the information system of each production center, to optimize technological processes, to increase the efficiency of the enterprise as a whole. The strategy of management of functional stability of the information system of the industrial enterprise with use of a neural network which application combines high productivity and high accuracy of processing of products from plastic is considered in work.

Blockchain-enabled cyber-physical smart modular integrated construction

Modular Integrated Construction (MiC) has been one of the most innovative solutions to address the ever-growing housing demands in megacities such as Hong Kong. MiC offers a range of benefits including cost-effectiveness, high productivity, and high sustainability for construction industry. Multiple stakeholders in MiC project, such as project client, module manufacturer, logistics company, and building contractor, normally use their own proprietary and centralized Enterprise Information System (EIS). However, stakeholders are facing challenges to share information throughout MiC projects. “Islands of Information” issue is commonly existing and creates information fragmentation and discontinuity. As an emerging Information and Communication Technology (ICT), blockchain provides unified standards and protocols for information sharing based on decentralized P2P framework with enhanced transparency and security. Aiming to address the information fragmentation and discontinuity in MiC project, this paper proposes a blockchain-enabled cyber-physical smart MiC platform to facilitate cross-enterprise information sharing among multiple stakeholders based on User-Centered Design (UCD) method. A practical roadmap is presented for the design, development, deployment, and application of MiC blockchain with new opportunities and guidelines. Initial investigations based on an industrial collaborated company are analyzed and the blockchain-enabled cyber-physical MiC workflow is designed. The user-centered blockchain explorers with high-fidelity digital twins are illustrated. Some preliminary results are found that MiC blockchain not only facilitates cyber-physical construction progress traceability, and real-time KPI visualization & evaluation, but also improves the information reliability, immutability, and transparency in MiC projects.

THE BENEFITS OF INFORMATION SYSTEMS IN THE MANAGEMENT OF INDUSTRIAL ENTERPRISES

The ability to make good decisions on the deployment and use of information and communication technologies has become part of successful governance. The convergence of information, communication and multimedia technologies has created new business opportunities that will play a vital role in the economy and public life over the coming decades. On enterprises development in recent years has been dramatically influenced by the rapid development of technologies for processing and organizing them. These technologies share the role of an information integrator to support decision-making at all levels of the manufacturing enterprise. Enterprise resource planning is a key transactional application of enterprise information systems. Its main features include the ability to automate and integrate key business processes, functions and data across the enterprise.

Role of enterprise information system management in enhancing firms competitive performance towards achieving SDGs during and after COVID-19 pandemic

PurposeThis study aims to investigate the impact of firms' information system management capabilities on competitive performance for achieving sustainable development goals (SDGs). It also examines the moderating effects of multi-sensory stimuli capability on firms' competitive performance.Design/methodology/approachDrawing upon the resource base and dynamic capability view as the overarching theoretical framework, this research conducted an empirical study among manufacturing and services enterprise employees. This study applied multiple cross-sectional surveys for data collection. A total of 241 usable data were obtained and explained through structural equation modelling (SEM).FindingsThe statistical results explore that variables under their respective direct relationship are positively and significantly influence. Interestingly, firms information system management capability has a relatively large magnitude of positive and direct effects on the competitive performance of firms' that complement on achieving firms SDGs and coping with the COVID-19 pandemic. In addition, the multisensory stimulus capability of service firms positively moderates (amplifies) the relationship between marketing information system management capability and competitive performance.Practical implicationsThe proposed research model provides insights into the utilisation of firms information system management capability to achieve competitive performance in their relevant industry. In addition, it deepens the understanding of the contingency effect of using multisensory stimulus capability of firms on competitive performance.Originality/valueTo the best of the authors' knowledge, drawing on the resource-based theory and dynamic capability theory, this study is the first to assess and examine the influence of firms information system management capability on the competitive performance of firms by considering the moderating variables (i.e. multisensory stimulus capability) in context to COVID-19 pandemic by considering the scope of SDGs.

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

In recent years, Solar power plants are currently developed rapidly, where solar power plants don't cause environmental damage. This generator utilizes sunlight as its input source which environmentally friendly, when sunlight is converted into direct current and voltage that can be stored in batteries. Therefore, the solar energy industry needs to have high efficiency, competitive pricing, and durability. With the right information technologies and developing application systems, it can help to optimize business processes and integrating information systems. But the fact there are many industries that do not apply information technology correctly into their business. In this research, provide to the best solution for applying the enterprise architecture framework correctly. The purpose of this paper is to design a manufacturing industry information system that is in accordance with the business model canvas and enterprise architecture. The design also discusses the development of a large and integrated information system with other systems. The study of Business Model Canvas is a business model that can explain and focus on nine business aspects with a solid strategy. Studies of the ArchiMate core Framework is the framework used to classify elements of the ArchiMate core language. These two methods are expected to be able to design an enterprise information system architecture consisting of business architecture, application architecture, information architecture and technology architecture as a result of the study. The result is a more complete system design to meet system requirements for users, integrated with existing system modules and no system duplication occurs.

Implementasi Sistem Informasi Enterprise Pendaftaran dan Registrasi Siswa di Sekolah Menengah Kejuruan Swasta Kabupaten Bandung

Implementation of Enterprise Information System Registration and Registration of new Students is a business process in Vocational High School Education, the need for dynamic data collection is a problem that must be solved by unified modelling languange (UML) scheme, a system that can be flexible and responsive. Data integration needs are the ultimate goal of an information system to be able to process data, both for its own needs and to display information to the relevant part in terms of user and data needs for other information systems. In addition, the results of the admission selection of new students are more accurate and prospective students are accepted in accordance with the expected results.

Methodological approach to evaluation of efficiency of it outsourcing

The aim of the article. When deciding on outsourcing, it is necessary to analyze the financial and organizational costs, without releasing from the analysis area the risks that arise when organizing the outsourcing of IT services. The lack of a full analysis in making this decision can instead of benefit cause significant losses. The purpose of the article is to develop methodological approaches to assessing the economic feasibility and effectiveness of the use of information technology outsourcing in the practice of domestic industrial enterprises. Analyses results. The article examines the existing scientific and methodological approaches to assessing the effectiveness of the use of information technology outsourcing in the production and commercial activities of industrial enterprises. Methodical recommendations for evaluating the effectiveness and efficiency of the IT outsourcing mechanism are formulated, which allows to determine the result of its implementation and the direction of its further development. Guidelines for deciding on IT outsourcing are proposed, the use of which is part of the decision-making process on the use of outsourcing in the enterprise and involves consistent implementation of measures to identify the business process for outsourcing to improve the quality and efficiency of delegated processes. A graphical comparative method for analyzing the effectiveness of decisions on the use of outsourcing by third-party companies and the practical implementation of the IT function by the company's own forces has been developed. The methodological approach to assessing the effectiveness of outsourcing management information systems in real business enterprises is sufficiently universal, as it takes into account the conceptual principles of outsourcing on the one hand and allows to adapt the structure of efficiency assessment depending on the complexity and cost of technologies used in business. enterprise, goals and scale of outsourcing. Conclusions and directions for further research. The proposed methodological approach allows to assess the economic efficiency of IT outsourcing to a greater extent in terms of economic justification of the management decision to accept services to IT outsourcers or perform them on their own. Graphoanalytical method for evaluating the effectiveness of outsourcing (Fig. 1) does not allow this. Its algorithm uses aggregated economic indicators (total costs, fixed costs, variable costs), the structure of which is not provided in the mechanism of using this method. Based on this, we consider as a direction of further development and research to develop guidelines for detailing these indicators in order to identify their components, to which the outsourcing company needs to pay special attention. Being based on the consideration of outsourcing as a process, the proposed approach has limitations that allow its application to assess the effectiveness of outsourcing only at a time when outsourcing is not yet implemented in practice. Additional research is needed to address this limitation.

Management Problems of Modern Logistics Information System Based on Data Mining

With the development of technology, the data stored by humans is growing geometrically. Especially in the logistics industry, the rise of online e-commerce has created a huge data flow in the informatized logistics network. How to collect, analyze, and organize this information in time and analyze the meaning of this information from it is a difficult problem. The paper aims to learn the management of logistics systems from the perspective of statistics. This article uses random analysis of 1,000 customers’ logistics records from the logistics enterprise information system, uses mathematical analysis and matrix theory to analyze the correlation among them, and analyzes customer types and shopping. The information on habits, daily consumption patterns, and brand preferences is classified and summarized using mathematical statistics. The experimental results show that the results of the study can well reflect customers’ daily habits and consumption habits. The experimental data show that mining effective and accurate information from massive information can help companies to quickly make decisions, formulate scientific logistics management programs, improve operating efficiency, reduce operating costs, and obtain good benefits.

Hypergraph Application on Business Process Performance

The modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In this work, we decided to use graph representation approaches, especially hypergraphs to depict the complex relationships that exist among the artifacts and constituents of BP for more efficient and accurate manipulations. We used bipartite and further hypergraph formats for storing and curating data. We have investigated the various descriptive languages and representation models of BP as process modeling, workflow and process integration, and object-oriented (OO) languages. We have carried out experiments using different approach combinations, but for observing quiltedrepresentation, we focused on the main consistencies of “DBP”. As the final approach, we used the “DBP” stream and data schemes that are defined by us to proceed with using pure Python for manually generating data and external Python libraries to store, curate, and visualize “DBP”.

Research and Implementation of SSH Proxy System for Filtering and Auditing

With the rapid development of information technology and network, the informatization level of enterprises is constantly improving, and the security of information system is becoming more and more important. Not only the external intrusion needs to be effectively resisted, but the operation and maintenance of internal personnel also needs to be under security control. Starting from the internal security of enterprise information system, this paper designs and implements the SSH protocol operation and maintenance audit system based on libssh. The forwarding module of the system can meet the requirements of SSH protocol operation and maintenance, and set command parsing, filtering and recording modules, which can correctly identify the commands executed by users and server data, and addition to filter the forbidden commands. In addition, the setting of replay and monitoring module can record the whole process of personnel’s operation, so as to ensure that the auditors can monitor in real time or replay afterwards. The system ensures the security of the enterprise internal information system.

Complex information systems configuration using ISACA Design Guide into an Axiomatic Design approach

This paper describes the process of designing a customized governance solution for an enterprise information system using COBIT framework guidelines and an axiomatic design approach. COBIT (Control Objectives for Information and related Technology) is a generally accepted framework created by the ISACA (Information Systems Audit and Control Association) for governing and managing enterprise information and technology (IT). COBIT framework can be applied to any organization in any industry and was designed to help deliver value while managing better the risks associated with the IT processes. On the other side, the Axiomatic Design (AD) theory involves a continuous interplay between the design objectives (the needs/what we want to achieve) and the means capable of reaching those objectives (how we want to achieve) to determine the best configuration capable of satisfying the design intend. The AD theory requires a description of the design's objectives in terms of specific requirements, called Functional Requirements (FR). The development of a complete solution to a given problem starts by mapping the FRs to Design Parameters (DPs) in the solution domain. ISACA Design Guide proposes ten (10) Design Factors and forty (40) Governance Objectives; each objective (a set of Functional Requirements) can be achieved through several combinations of Design Parameters. From the Axiomatic Design theory perspective, this determines a coupled matrix. To decouple the matrix, the profile of each design factor is drawn, and the sub-factors will be taken only once within the factor where the sub-factor has the highest weight. A case study is presented.

Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)

This paper aims to investigate the impact of enterprise architecture (EA) on system capabilities in dealing with changes and uncertainties in globalised business environments. Enterprise information systems are viewed as information systems to acquire, process, and utilise data in decision-making supports at all levels and domains of businesses, and Internet of things (IoT), big data analytics (BDA), and digital manufacturing (DM) are introduced as representative enabling technologies for data collection, processing, and utilisation in manufacturing applications. The historical development of manufacturing technologies is examined to understand the evolution of system paradigms. The Shannon entropy is adopted to measure the complexity of systems and illustrate the roles of EAs in managing system complexity and achieving system stability in the long term. It is our argument that existing EAs sacrifice system flexibility, resilience, and adaptability for the reduction of system complexity; note that higher adaptability is critical to make a manufacturing system successfully. New EA is proposed to maximise system capabilities for higher flexibility, resilience, and adaptability. The potentials of the proposed EA to modern manufacturing are explored to identify critical research topics with illustrative examples from an application perspective.

AI-enabled Enterprise Information Systems for Manufacturing

ABSTRACT This paper considers Enterprise Information Systems functional architecture and carries out review of AI applications integrated in Customer Relationship Management, Supply Chain Management, Inventory and logistics, Production Planning and Scheduling, Finance and accounting, Product Lifecycle Management and Human Resources, with special attention to the manufacturing enterprises. Enhanced capabilities are identified and proposed as AI services. AI-enablement implements improved decision-making or automation by using Machine Learning models or logic-based systems. It is a process of the enterprise transformation leading to the convergence of the four major disruptive technologies, namely Industrial Internet of Things, Agent-based Distributed Systems, Cloud Computing and Artificial Intelligence.

ALGORITHMIC SUPPORT FOR MULTICRITERIA ASSESSMENT OF RETAIL INFORMATION SYSTEMS

This article is devoted to the issues of assessing the effectiveness of information systems for enterprises engaged in retail trade in consumer goods. This article describes the tasks that the retail FMCG trade, as well as the functions of the retail trade, solve. The features of the subject area were considered, which will form the basis for the formation of scales for assessing the effectiveness of information systems. The priorities, tasks, and features of the business model of enterprises engaged in retail trade in consumer goods, depending on the market segment they occupy. Various types of corporate information systems that can be used in retail trade are considered. The analysis of the subject area made it possible not only to determine important metrics for assessing the effectiveness of information systems but also to determine the priority of the requirements for the availability of certain functionality in the information system from each business segment, large, medium and small. Also, the existing standards in the subject areas of software development and enterprise organization were considered. This article proposes a methodology for evaluating information systems for enterprises engaged in consumer goods retail trade that belong to different market segments. The proposed methodology is based on the approach of multi-criteria expert assessment. An example of linguistic variables for one of the questions of the questionnaire for experts is given. The order of operation of the expert system is also presented in the form of an activity diagram. The developed expert information system can be monetized by providing referral links to the products of companies supplying information systems for retail. In the future, it is planned to add the ability for qualified experts to select combination of metrics for assessment, as well as change the assessment scale to increase accuracy. Keywords: information system, retail trade, consumer goods, performance assessment, expert assessments.

FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0

ABSTRACT In modern cyber-physical systems, there is a high degree of connectivity that is imperative to satisfy the Four Industrial Revolution paradigm (Industry 4.0). While creating new systems according to the Industry 4.0, there are several protocols and solutions that can be applied. However, the introduction of Industry 4.0 to the existing industrial systems is not so straightforward. One point of consideration is the necessity of system modification, and another is the potential security threats a system could face. A solution presented in this paper addressing these issues is a FPGA-based network analyser with network datagram filtering and process data extraction. The analyser is transparent and may be applied without alterations to the monitored system. Moreover, there is no risk of influencing the system operation either by the data extraction device itself or by unauthorised access from the Internet, because the FPGA is a passive device operating as a data diode. The presented solution allows for the integration of existing Ethernet-based systems with cloud services for further processing of the data obtained from the monitored system. The FPGA makes process data available for the enterprise information systems.

Problems of ensuring the confidentiality of documents in the corporate information system of an industrial enterprise

Problem statement. Currently, the issue of controlling the confidentiality of information in documents created, processed, transmitted and stored in the corporate information system (after of the documents open) is one of the most acute in ensuring the information security of an industrial enterprise.The purpose. Detection of rational ways to prevent the leakage of electronic documents, which are printed or opened on the computer screens of the corporate information system.Results. The article provides examples of classical methods for information protection from violation of its confidentiality. In the paper note the inefficiency of such techniques for opened on screens or printed documents. The authors propose labeling as a possible mechanism for maintaining the confidentiality of corporate documentation. There are considering modern technologies intended for marking of electronic documents, offered in the Russian market of information protection means. The principles of their work, advantages and disadvantages are given. The analysis allow drawing a conclusion about the possibility of considered technologies usage for investigation of electronic or printed documents leakage incidents and identifying violators.Practical relevance. The authors suggested that electronic document labeling may affect (indirect) on reducing the number of violations within the corporate information system.

System of Comprehensive Assessment of Project Risks in the Energy Industry

The article proposes to consider the problem of comprehensive assessment of project risks as applied to the energy industry. The authors of the research focused on the description of the applied solution. A real investment project on replacement of a bark boiler at Mondi Syktyvkar enterprise was chosen as an object for testing the results. We proposed to divide the risks accompanying the project into 2 categories: risks for which there is necessary and statistical information for their quantitative assessment and risks for which this information is absent. As a technique of a quantitative assessment of risks from the first category it is expedient to apply a method of Simulation modeling of Monte Carlo. In this case, the authors of the article conducted a significant analysis of existing methods for assessing project risks and the choice of the Monte Carlo methodology is due to the practical orientation of the study. In practice, the real enterprise is quite problematic to use more complex methods of assessment, such as methods of Real Options or methods of fuzzy logic, neural networks, etc. As a method of qualitative risk assessment (from the second category) the method of expert evaluation with subsequent calculation of risk premium in the discount rate was chosen. This method is common in practice and easy enough to implement. According to the results of the analysis (statistical and expert) the most dangerous risks of energy projects were identified: Production and technological risks (the risk of choosing the wrong technological scheme, the risk of reducing the quality of internal controls, the risk of incorrect calculation of the design capacity of energy production, the risk of industrial safety), security risks (the risk of hacking attacks on information systems of energy enterprises), as well as country risks. Among the most influential risks (based on the analysis of their impact on the main technical and economic indicators of the project) are: the risk of rising prices for purchased gas (fuel), the risk of high volatility of the dollar exchange rate. The results of the study were used in a real project and the risk assessment methodology was implemented in the project activities of Mondi Syktyvkar enterprise.

Model-Driven Open Ecological Cloud Enterprise Resource Planning

Cloud enterprise resource planning (Cloud ERP) is an internet- and cloud computing-based enterprise information system developed on the cloud platform. Cloud ERP has lower costs and shorter development time compared with traditional ERP system, but it remains in a state of information isolated island. To maximize the advantages of cloud computing and make up the deficiency of traditional ERP systems, it is necessary to break down the "wall" between enterprises, making cloud ERP enter a more open and interconnected ecological environment. The model-driven development approach contributes to a better resilient scheduling capability of ERP system, leading to faster development and deployment of it. In this article, the authors propose a “knowledge + data” model-driven open ecological cloud ERP and explain the definition and functions of each model layer. Finally, the effectiveness of model layers is demonstrated in the open ecological cloud ERP reference architecture.

On the application of a model for assessing the transactional reliability of information systems of industrial enterprises

The article examines an example of the application of a model for assessing the transactional reliability of information systems of industrial enterprises. This transactional reliability determines the correctness of the calculations performed and the integrity of the data, and, consequently, the characteristics of the quality of software tools that are used in information systems of industrial enterprises to perform control and data processing functions. It is shown that all the parameters of this model can be obtained from the results of testing the system, which makes it possible to construct adequate estimates of the reliability parameters. The calculated indicators obtained using the developed model differed from the real ones by no more than 5%, which indicates the sufficient adequacy of the model. The modern system Microsoft Dynamics 365 for Finance and Operations (Dynamics AX/Axapta) was used as an environment for modeling and analyzing the transactional reliability of software tools.