Impact of modern information technologies on the processes of initiating and planning the community and regional development projects
DOI:
https://doi.org/10.31734/agroengineering2024.28.148Keywords:
information technology, initiation, planning, projects, information development, project officesAbstract
An analysis was conducted on the development status of communities and regions, leading to the identification of a need for projects that utilize various information technologies. Additionally, it was recognized that a method is required to assess the informational capacity of project offices responsible for implementing community and regional development initiatives. The analysis highlighted the unique aspects of employing modern information technologies in project management within these project offices. It is suggested that the assessment of information development levels in project offices should be based on an exploration of the interconnected processes of digitalization, digitization, and digital transformation. Accordingly, project offices can be classified into three distinct development levels. The findings indicate that leveraging modern information technologies significantly influences the initiation and planning phases of community and regional development projects. These effects are evident in management tasks involving the
collection and analysis of large volumes of data.
An approach to evaluating the level of information development of project offices engaged in community and regional development projects has been presented. This approach focuses on key indicators such as the speed of information access, the quality of decision-making by project managers, and the overall information development status of the project offices.
Implementing this approach allows for the consideration of the unique aspects related to generating data on project environment indicators. These indicators form the foundation for selecting appropriate information technologies that will facilitate the effective execution of community development projects across various sectors, ensuring optimal resource use and the achievement of strategic community and regional development goals.
Based on this approach, a quantitative evaluation of the information development indicators and levels of project offices under specified conditions was conducted. The results revealed that the fastest information access speeds occur in environmental projects, at approximately 80 KB/sec, while social projects exhibited the slowest access speeds at 32 KB/sec. Moreover, the highest improvement in decision-making quality, at around 25%, was seen in transport projects with the aid of information technology, compared to a 20% improvement in social projects. It was also discovered that different types of projects employ varying levels of information technology, impacting both the speed of information access and the quality of management decision-making by project managers.
References
Application of sarima models in information systems forecasting seasonal volumes of food raw materials of procurement on the territory of communities / A. Tryhuba, N. Koval, I. Tryhuba, O. Boiarchuk. CEUR Workshop Proceedings, 2022. 3295. Р. 64–75.
Bashynsky, О. (2019). Coordination of dairy workshops projects on the community territory and their project environment. International Scientific and Technical Conference on Computer Sciences and Information Technologies, 3, 51–54.
Bashynskyi, O., Medvediev, Y., Slobodian, S., & Skorobogatov, D. (2019). Justification of models of changing project environment for harvesting grain, oilseed and legume crops. Independent Journal of Management & Production, 10 (7), 658–672.
Batyuk, B., & Dyndyn, M. (2020). Coordination of configurations of complex organizational and technical systems for development of agricultural sector branches. Journal of Automation and Information Sciences, 2(2), 63–76.
Boyarchuk, V., Ftoma, O., Padyuka, R., & Rudynets, M. (2021). Forecasting the risk of the resource demand for dairy farms basing on machine learning. CEUR Workshop Proceedings, 2631, 327–340.
Bushuyev, S., & Verenych, O. (2018). Organizational Maturity and Project: Program and Portfolio Success. Developing Organizational Maturity for Effective Project Management (Chapter 6: Organizational Maturity and Project: Program and Portfolio Success), 104–127. doi: 10.4018/978-1-5225-3197-5
Kavierina S.Yu., Bashynska I.O. (2017). Informatsiini tekhnolohii v upravlinni proiektamy. Ekonomika i suspilstvo, 10, 883–887.
Koval, N., Kondysiuk, I., Boiarchuk, O., & Rudynets, M. (2021). Forecasting the Fund of Time for Performance of Works in Hybrid Projects Using Machine Training Technologies. MoMLeT+ DS, 196-206.
Kovalchuk, O., Zachko, O., & Kobylkin, D. (2022). Criteria for intellectual forming a project teams in safety oriented system. 17th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2, 430–433.
Liu, B. (2023). Application of Computer Electronic Information Technology in Engineering Project Management. Lecture Notes on Data Engineering and Communications Technologies, 2023, 170, 172–180.
Method of quantitative evaluation of the risk of benefits for investors of fodder-producing cooperatives / A. Tryhuba, I. Tryhuba, O. Ftoma, O. Boyarchuk. International Scientific and Technical
Conference on Computer Sciences and Information Technologies, 2019. 3. Р. 55–58.
Mikhrovska, M. (2021). Didzhytyzatsiia, didzhytalizatsiia, tsyfrova transformatsiia: zmist ta osoblyvosti. Hraal nauky, 1, 128–130.
Ratushnyi, R., Khmel, P., Martyn, E., & Prydatko, O. (2019). Substantiating the effectiveness of projects for the construction of dual systems of fire suppression. Eastern-European Journal of Enterprise Technologies, 4 (3-100), 46–53.
Raymond, L. (2023). Information systems design for project management: a data modeling approach. Project Manage, 18 (4), 94–99.
Rudynets, M., Pavlikha, N., Kytsyuk, I., Komeliuk, & O. Seleznov, D. (2019). Establishing patterns of change in the indicators of using milk processing shops at a community territory. Eastern-European Journal of Enterprise Technologies: Control processes, 3/6. 102, 57–65.
Spivrobitnytstvo v ramkakh Orhanizatsii Ekonomichnoho spivrobitnytstva ta rozvytku. Retrieved from https://mfa.gov.ua/mizhnarodni-vidnosini/organizaciya-ekonomichnogo-spivrobitnictva-ta-rozvitku
Tryhuba, A. M., & Sydorchuk, O. V. (2010). Osoblyvosti planuvannia proiektiv ta prohram ahrarnoho vyrobnytstva. Materialy VI Mizhnar. konf. “Upravlinnia proiektamy: stan ta perspektyvy”. Mykolaiv, 313–316.
Tryhuba, A., Boyarchuk, V., & Tryhuba, I. (2019). Forecasting of a lifecycle of the projects of production of biofuel raw materials with consideration of risks. International Conference on Advanced Trends in Information Theory (ATIT), 420–425.
Tryhuba, A., Ratushny, R., Bashynsky, O., & Ptashnyk, V. (2020). Planning of Territorial Location of Fire-Rescue Formations in Administrative Territory Development Projects. CEUR Workshop Proceedings 2565, 18–20.
Tryhuba, A., Tryhuba, I., & Bashynsky, O. (2020). Conceptual model of management of technologically integrated industry development projects. Proceedings of the 15th International Scientific and Technical Conference on Computer Sciences and Information Technologies, 155–158. doi: 10.1109/CSIT49958.2020.9321903.
Yan, H., & Li, M. (2022). Application of Modern Information Technology in Information Construction of Project Management. ACM International Conference Proceeding Series, 132–135.
Zhao, L., Deng, J., Ma, Y., & Zhu, Y. (2021). Design of digital business center of enterprise project management system based on Information Technology. Journal of Physics: Conference Series, 1744(2), 022010.
