COMMERCIAL ENTERPRISE AS A SPECIFIC ENVIRONMENT FOR THE DEVELOPMENT OF INFORMATION SYSTEMS
Abstract
Objective. Enterprise information systems are focused on solving a number of applied tasks that lie within the scope of specific management functions, for example, management of finances, supply chain, human resources, interaction with customers, production, projects, relations with suppliers, waste. and sustainable development, quality, intellectual property, etc. Methods. The methodological basis of the conducted research was the provisions of modern economic concepts, theory of systems, management and informatization. The following methods of scientific knowledge were used: concretization, generalization, formalization, systematization. Results. The article proves that trade entrepreneurship is a unique environment for the formation and development of information systems that meet the specific needs of this industry. It is claimed that information systems in the field of trade need specific solutions in development and implementation to optimize management processes and increase the competitiveness of enterprises. There are specific examples of programs and systems specialized for the retail sector that help with inventory management, customer loyalty, competitive analysis and other aspects of the industry. Scientific novelty. Unique requirements for information systems and specific solutions in the development and implementation of information technologies are singled out. Practical significance. Information systems in the field of trade are constantly developing, adapting to new technologies and business needs, which confirms their necessity and importance for this field. The integration of these systems helps enterprises store valuable information in a single reservoir, provides automation of processes and increases management efficiency. Due to this, corporate information systems are a key tool to support the management and optimization of enterprise activities, and they can include different types of systems, such as production management systems, customer relationship management systems, human resource management systems, and others, depending on the needs of a particular enterprise.
References
Berchet C., Habchi G. (2005) The Implementation and Deployment of an ERP System: An Industrial Case Study. Computers in Industry, no. 56(6), 588–605.
Chen R.-S., Sun C.-M., Helms M. M. (2008) Role Negotiation and Interaction: An Exploratory Case Study of the Impact of Management Consultants on ERP System Implementation in SMEs in Taiwan. Information Systems Management, no. 25(2), pp. 159–173.
Bose I., Pal R., Ye A. (2008) ERP and SCM Systems Integration: The Case of a Valve Manufacturer in China. Information & Management, no. 45(4), pp. 233–241.
Tarantilis C. D., Kiranoudis C. T., Theodorakopoulos N. D. (2008) A Web-based ERP System for Business Services and Supply Chain Management: Application to Real-world Process Scheduling. European Journal of Operational Research, no. 187(3), pp. 1310–1326.
Tracy R. P.(2007) IT Security Management and Business Process Automation. Information Systems Security, no. 16, pp. 114–122.
Dhillon G., Torkzadeh G. (2006) Value-Focused Assessment Of Information System Security in Organizations. Information Systems Journal, no. 16, pp. 293–314.
Smith G. E., Watson K. J., Baker W. H., Pokorski II J. K. (2007) A Critical Balance: Collaboration and Security in the IT-enabled Supply Chain. International Journal of Production Research, no. 45(11), pp. 2595–2613.
Aoun A., Ilinca A., Ghandour M., and Ibrahim H. (2021) A Review of Industry 4.0 Characteristics and Challenges, with Potential Improvements Using Blockchain Technology. Computers Industrial Engineering, no. 162. Available at: https://www.sciencedirect.com/science/article/pii/S0360835221006501
Gunti P., Gupta B. B., and Pen˜alvo F. J. G. (2022) Deep-Learning and Machine-Learningbased Techniques for Malware Detection and Data-Driven Network Security. In Advances in Malware and Data-Driven Network Security, pp. 41–58.
Chang S., Gong Y. P., Way S. A., and Jia L. D. (2013) Flexibility-oriented Hrm systems, absorptive capacity, and market responsiveness and firm innovativeness. J. Manag, no. 39, pp. 1924–1951. DOI: https://doi.org/10.1177/0149206312466145
Harvey G., Skelcher C., Spencer E., Jas P. and Walshe K. (2010) Absorptive capacity in a non-market environment: a knowledge-based approach to analyse the performance of sector organizations. Public Manag. Rev., no. 12, pp. 77–97. DOI: https://doi.org/10.1080/14719030902817923
He J., Butler B. S. and King W. R. (2007) Team cognition: development and evolution in software project teams. J. Manag. Inf. Syst., no. 24, pp. 261–292. DOI: https://doi.org/10.2753/MIS0742-1222240210
Jimenez-Castillo D., and Sanchez-Perez M. (2013) Nurturing employee market knowledge absorptive capacity through unified internal communication and integrated information technology. Inf. Manag., no. 50, pp. 76–86. DOI: https://doi.org/10.1016/j.im.2013.01.001
Lopatin A. (2020) Use of Rough Set Theory and Neural Networks Methods in Supply Chain Management. Modern Economics, no. 22(2020), pp. 44–49. DOI: https://doi.org/10.31521/modecon.V22(2020)-07
Kozulia T. V. (2023) The concept of information-entropy space for system objects models building used in sustainable development tasks. Radio Electronics, Computer Science, Control, no. (2), pp. 20–30. DOI: https://doi.org/10.15588/1607-3274-2023-2-3
Corning P. A. (2013) Systems Theory and the Role of Synergy in the Evolution of Living Systems. System Research and Behavioral Science Syst, no. 15, pp. 273–295. DOI: https://doi.org/10.1002/sres.2191
Liu Y., Tang X. and Bush A. (2021) Intra-platform competition: the role of innovative and refinement evolution in app success. Inf. Manag, no. 58. DOI: https://doi.org/10.1016/j.im.2021.103521.
Setia P. and Patel P. C. (2013) How information systems help create Om capabilities: consequents and antecedents of operational absorptive capacity. J. Oper. Manag, no. 31, pp. 409–431. DOI: https://doi.org/10.1016/j.jom.2013.07.013
Yun Yang (2023) Refining interface compatibility and carrier management via π-π conjugated stacking for efficient and stable perovskite solar cells based on low-temperature processing. Materials Science and Technology, DOI: https://doi.org/10.1080/02670836.2023.2246306
Chakrabarti A., de Alfaro L., Henzinger T. A., Jurdziński M., Mang F. Y. C. (2002) Interface Compatibility Checking for Software Modules. In: Brinksma, E., Larsen, K.G. (eds) Computer Aided Verification. CAV 2002. Springer, Berlin, Heidelberg. Lecture Notes in Computer Science, vol 2404. DOI: https://doi.org/10.1007/3-540-45657-0_35
Shameer Mohammed S., Nanthini N., Bala K,, Inumarthi V. Srinivas Manikandan Rajagopal M. Ashok K. (2023) A new lightweight data security system for data security in the cloud computing. Measurement: Sensors, vol. 29. DOI: https://doi.org/10.1016/j.measen.2023.100856
Tariq U., Ahmed I., Bashir A. K., Shaukat K. A. (2023) Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review. Sensors, no. 23. DOI: https://doi.org/10.3390/s23084117
Nowrozy R., Ahmed K. (2023) Enhancing Health Information Systems Security: An Ontology Model Approach. In: Li, Y., Huang, Z., Sharma, M., Chen, L., Zhou, R. (eds) Health Information Science. HIS 2023. Lecture Notes in Computer Science. Springer, Singapore. vol. 14305. DOI: https://doi.org/10.1007/978-981-99-7108-4_8
Roffia P., Dabić M. (2023) The role of management control and integrated information systems for the resilience of SMEs. Rev Manag Sci. DOI: https://doi.org/10.1007/s11846-023-00657-6
