Pub Date : 2024-02-04DOI: 10.26794/2304-022x-2023-13-4-118-120
A. Editorial
.
.
{"title":"XXIV International Conference on the History of Management Thought and Business «Russia’s economic management models: creators, their creations, clash of views»","authors":"A. Editorial","doi":"10.26794/2304-022x-2023-13-4-118-120","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-118-120","url":null,"abstract":"<jats:p>.</jats:p>","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-04DOI: 10.26794/2304-022x-2023-13-4-105-117
A. E. Lebedeva, I. V. Karakozova
The purpose of the study is to analyze the Russian construction market and the prospects for its development in the context of large contracting companies, as well as to determine contractor competitiveness and the place of the largest domestic construction companies in the world ranking. Comparison, analysis, as well as graphical, tabular methods of data presentation and visualization were used as research methods. The paper presents an analysis and characteristics of the Russian and world construction market, its dynamics, structure and key players. The main trends and drivers of the construction industry are described. The volume of construction is growing every year, despite the economic and political crises of past five years. This fact indicates a high demand for construction products. The article considers the main players in the Russian and foreign markets. The leading positions in terms of construction volumes are occupied by such countries as China, the USA, Japan and the EU, while the Russian Federation lags behind in terms of construction production volume. Only four construction companies in the world have a turnover of more than $ 100 billion, while maintaining a significant lead over other players. Whereas the development of the global construction market is associated with population dynamics, an influx of investments in the Asian region is expected, which in turn will contribute to the development of technologies and the introduction of innovations in the field of construction management. The study revealed a direct correlation and relationship between the competitiveness of construction companies and internationalization. Despite the increasing interest of Russian developers in foreign projects, at the moment the expansion trend of Russian construction companies is just beginning to take shape. It is concluded that in order to increase the competitiveness of Russian construction companies in the world market, the efficiency of project management and cost optimization, it is necessary to introduce an effective system of projects cost accounting and control.
{"title":"Analysis of the Сonstruction Market in Russia and Abroad in Order to Сurb the Growth of Construction Costs and Ensure the Сompetitiveness of Enterprises by Increasing the Efficiency of the Cost Accounting and Сontrol System","authors":"A. E. Lebedeva, I. V. Karakozova","doi":"10.26794/2304-022x-2023-13-4-105-117","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-105-117","url":null,"abstract":"The purpose of the study is to analyze the Russian construction market and the prospects for its development in the context of large contracting companies, as well as to determine contractor competitiveness and the place of the largest domestic construction companies in the world ranking. Comparison, analysis, as well as graphical, tabular methods of data presentation and visualization were used as research methods. The paper presents an analysis and characteristics of the Russian and world construction market, its dynamics, structure and key players. The main trends and drivers of the construction industry are described. The volume of construction is growing every year, despite the economic and political crises of past five years. This fact indicates a high demand for construction products. The article considers the main players in the Russian and foreign markets. The leading positions in terms of construction volumes are occupied by such countries as China, the USA, Japan and the EU, while the Russian Federation lags behind in terms of construction production volume. Only four construction companies in the world have a turnover of more than $ 100 billion, while maintaining a significant lead over other players. Whereas the development of the global construction market is associated with population dynamics, an influx of investments in the Asian region is expected, which in turn will contribute to the development of technologies and the introduction of innovations in the field of construction management. The study revealed a direct correlation and relationship between the competitiveness of construction companies and internationalization. Despite the increasing interest of Russian developers in foreign projects, at the moment the expansion trend of Russian construction companies is just beginning to take shape. It is concluded that in order to increase the competitiveness of Russian construction companies in the world market, the efficiency of project management and cost optimization, it is necessary to introduce an effective system of projects cost accounting and control.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"20 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-04DOI: 10.26794/2304-022x-2023-13-4-118-120
A. Editorial
.
.
{"title":"XXIV International Conference on the History of Management Thought and Business «Russia’s economic management models: creators, their creations, clash of views»","authors":"A. Editorial","doi":"10.26794/2304-022x-2023-13-4-118-120","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-118-120","url":null,"abstract":"<jats:p>.</jats:p>","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"1996 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-04DOI: 10.26794/2304-022x-2023-13-4-105-117
A. E. Lebedeva, I. V. Karakozova
The purpose of the study is to analyze the Russian construction market and the prospects for its development in the context of large contracting companies, as well as to determine contractor competitiveness and the place of the largest domestic construction companies in the world ranking. Comparison, analysis, as well as graphical, tabular methods of data presentation and visualization were used as research methods. The paper presents an analysis and characteristics of the Russian and world construction market, its dynamics, structure and key players. The main trends and drivers of the construction industry are described. The volume of construction is growing every year, despite the economic and political crises of past five years. This fact indicates a high demand for construction products. The article considers the main players in the Russian and foreign markets. The leading positions in terms of construction volumes are occupied by such countries as China, the USA, Japan and the EU, while the Russian Federation lags behind in terms of construction production volume. Only four construction companies in the world have a turnover of more than $ 100 billion, while maintaining a significant lead over other players. Whereas the development of the global construction market is associated with population dynamics, an influx of investments in the Asian region is expected, which in turn will contribute to the development of technologies and the introduction of innovations in the field of construction management. The study revealed a direct correlation and relationship between the competitiveness of construction companies and internationalization. Despite the increasing interest of Russian developers in foreign projects, at the moment the expansion trend of Russian construction companies is just beginning to take shape. It is concluded that in order to increase the competitiveness of Russian construction companies in the world market, the efficiency of project management and cost optimization, it is necessary to introduce an effective system of projects cost accounting and control.
{"title":"Analysis of the Сonstruction Market in Russia and Abroad in Order to Сurb the Growth of Construction Costs and Ensure the Сompetitiveness of Enterprises by Increasing the Efficiency of the Cost Accounting and Сontrol System","authors":"A. E. Lebedeva, I. V. Karakozova","doi":"10.26794/2304-022x-2023-13-4-105-117","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-105-117","url":null,"abstract":"The purpose of the study is to analyze the Russian construction market and the prospects for its development in the context of large contracting companies, as well as to determine contractor competitiveness and the place of the largest domestic construction companies in the world ranking. Comparison, analysis, as well as graphical, tabular methods of data presentation and visualization were used as research methods. The paper presents an analysis and characteristics of the Russian and world construction market, its dynamics, structure and key players. The main trends and drivers of the construction industry are described. The volume of construction is growing every year, despite the economic and political crises of past five years. This fact indicates a high demand for construction products. The article considers the main players in the Russian and foreign markets. The leading positions in terms of construction volumes are occupied by such countries as China, the USA, Japan and the EU, while the Russian Federation lags behind in terms of construction production volume. Only four construction companies in the world have a turnover of more than $ 100 billion, while maintaining a significant lead over other players. Whereas the development of the global construction market is associated with population dynamics, an influx of investments in the Asian region is expected, which in turn will contribute to the development of technologies and the introduction of innovations in the field of construction management. The study revealed a direct correlation and relationship between the competitiveness of construction companies and internationalization. Despite the increasing interest of Russian developers in foreign projects, at the moment the expansion trend of Russian construction companies is just beginning to take shape. It is concluded that in order to increase the competitiveness of Russian construction companies in the world market, the efficiency of project management and cost optimization, it is necessary to introduce an effective system of projects cost accounting and control.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"2016 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-04DOI: 10.26794/2304-022x-2023-13-4-90-104
Yu. S. Konovalova, D. Burtsev
The research is devoted to analysing the woodworking industry from the point of view of using modern digital technologies at its enterprises. The relevance of this work is due to the fact that the timber industry is an important sector of the Russian economy, and the solution of such a task as determining the level of digital transformation (DT) of one of its industries will help identify problem areas and potential opportunities for improving production processes and introducing innovations. The methodological basis was the use of private and universal scientific methods such as analysis, synthesis, comparison, observation, ranking, and expert judgement. The authors of the study studied the activities of foreign and domestic timber processing companies, presented two options for calculating the level of their DT – both by quantifying the level of digitalisation of business processes and the scale of the company, and by analysing the effect of project implementation and the complexity of the technologies used, and found that the results obtained in both cases coincide. In the course of the work, three approaches to digital transformation were considered and it was concluded that its level not only in Russian, but also in foreign companies in the woodworking industry is average. The practical significance of the research consists in the development of recommendations and creation of a methodology for assessing the digital transformation of woodworking industry enterprises, which the latter can use when preparing for changes in the business model and the introduction of new technologies.
{"title":"Managing the Digital Transformation of Enterprises: Assessing its Level in Woodworking Industry Companies","authors":"Yu. S. Konovalova, D. Burtsev","doi":"10.26794/2304-022x-2023-13-4-90-104","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-90-104","url":null,"abstract":"The research is devoted to analysing the woodworking industry from the point of view of using modern digital technologies at its enterprises. The relevance of this work is due to the fact that the timber industry is an important sector of the Russian economy, and the solution of such a task as determining the level of digital transformation (DT) of one of its industries will help identify problem areas and potential opportunities for improving production processes and introducing innovations. The methodological basis was the use of private and universal scientific methods such as analysis, synthesis, comparison, observation, ranking, and expert judgement. The authors of the study studied the activities of foreign and domestic timber processing companies, presented two options for calculating the level of their DT – both by quantifying the level of digitalisation of business processes and the scale of the company, and by analysing the effect of project implementation and the complexity of the technologies used, and found that the results obtained in both cases coincide. In the course of the work, three approaches to digital transformation were considered and it was concluded that its level not only in Russian, but also in foreign companies in the woodworking industry is average. The practical significance of the research consists in the development of recommendations and creation of a methodology for assessing the digital transformation of woodworking industry enterprises, which the latter can use when preparing for changes in the business model and the introduction of new technologies.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"13 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-71-89
P. Mikhnenko
The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.
{"title":"Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning","authors":"P. Mikhnenko","doi":"10.26794/2304-022x-2023-13-4-71-89","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-71-89","url":null,"abstract":"The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"47 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-22-33
R. Rogulin
This paper examines important aspects related to the problems of forming supply chains and production volumes at forest processing enterprises. The main emphasis is on assessing the optimality of decisions made. The study focuses on enterprises that do not have their own sources of raw materials and that are seeking to find the most appropriate solution based on the planning horizon based on data on transactions carried out on the commodity exchange. The purpose of the study is to create a mathematical model that allows us to establish the optimal volume of production of goods based on the formed supply chains of raw materials from the commodity exchange, considering the share of its useful volume, the time the lots are in transit and the uncertainty associated with supply and logistics. The following research methods were proposed: mathematical modeling, theory and optimization methods. Testing the model using data from the St. Petersburg Stock Exchange and enterprises of the Primorsky Territory made it possible to determine the optimal trajectories of profit, production volume and other important indicators. The work also raises issues of planning supply chains and production volumes, analyzes regions – sources of raw materials and presents the advantages and disadvantages of the presented mathematical model. The results obtained are of interest to the top management of forestry enterprises seeking to improve the efficiency of their activities and can be the basis for assessing the rationality of commodity transactions on the Russian Commodity and Raw Materials Exchange.
{"title":"Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty","authors":"R. Rogulin","doi":"10.26794/2304-022x-2023-13-4-22-33","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-22-33","url":null,"abstract":"This paper examines important aspects related to the problems of forming supply chains and production volumes at forest processing enterprises. The main emphasis is on assessing the optimality of decisions made. The study focuses on enterprises that do not have their own sources of raw materials and that are seeking to find the most appropriate solution based on the planning horizon based on data on transactions carried out on the commodity exchange. The purpose of the study is to create a mathematical model that allows us to establish the optimal volume of production of goods based on the formed supply chains of raw materials from the commodity exchange, considering the share of its useful volume, the time the lots are in transit and the uncertainty associated with supply and logistics. The following research methods were proposed: mathematical modeling, theory and optimization methods. Testing the model using data from the St. Petersburg Stock Exchange and enterprises of the Primorsky Territory made it possible to determine the optimal trajectories of profit, production volume and other important indicators. The work also raises issues of planning supply chains and production volumes, analyzes regions – sources of raw materials and presents the advantages and disadvantages of the presented mathematical model. The results obtained are of interest to the top management of forestry enterprises seeking to improve the efficiency of their activities and can be the basis for assessing the rationality of commodity transactions on the Russian Commodity and Raw Materials Exchange.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"53 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139965253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-6-21
I. N. Tkachenkoa, M. Meteleva
The global humanitarian and economic challenges facing Russian corporate structures today require not only a rethinking of the role of public institutions in the future fate of the national economy, but also unprecedented innovative development of mechanisms for making management decisions in conditions of limited time and information. Well-known and methodologically developed approaches need transformation and development in relation to new realities. Based on the competent opinion of Russian corporate management on the current situation in the business environment, voiced at the XII All-Russian Forum «Business Management: Adaptation to Challenges and Development», requirements for the transformation of the corporate governance model have been determined. The purpose of the study was to develop the methodology proposed earlier by the authors for assessing the stakeholder value of the corporate network of the ESG activities of the corporation in terms of the influence of macro-level factors on it, in particular, economic sanctions. The following methods were used as a methodological basis: network approach, methods of logical analysis, correlation and regression analysis, comparison, graphic visualization. The methodology presented in the article was tested on the example of PJSC Norilsk Nickel and the region of its presence – the Krasnoyarsk Territory, based on data from two periods – pre-crisis (2012–2018) and including the COVID‑19 pandemic and strengthening of foreign trade sanctions (2012–2021). The results showed the sensitivity of the stakeholder value model to changes in macro conditions, which confirms the validity of the methodology for solving problems of operational management of corporate processes. The prospects for the research lie in the area of expanding the composition of stakeholder groups, developing methods for establishing operational connections between them and their assessment.
{"title":"Stakeholder Model of Corporate Governance: Methodology for Rapid Assessment of the Impact of Macroeconomic Challenges","authors":"I. N. Tkachenkoa, M. Meteleva","doi":"10.26794/2304-022x-2023-13-4-6-21","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-6-21","url":null,"abstract":"The global humanitarian and economic challenges facing Russian corporate structures today require not only a rethinking of the role of public institutions in the future fate of the national economy, but also unprecedented innovative development of mechanisms for making management decisions in conditions of limited time and information. Well-known and methodologically developed approaches need transformation and development in relation to new realities. Based on the competent opinion of Russian corporate management on the current situation in the business environment, voiced at the XII All-Russian Forum «Business Management: Adaptation to Challenges and Development», requirements for the transformation of the corporate governance model have been determined. The purpose of the study was to develop the methodology proposed earlier by the authors for assessing the stakeholder value of the corporate network of the ESG activities of the corporation in terms of the influence of macro-level factors on it, in particular, economic sanctions. The following methods were used as a methodological basis: network approach, methods of logical analysis, correlation and regression analysis, comparison, graphic visualization. The methodology presented in the article was tested on the example of PJSC Norilsk Nickel and the region of its presence – the Krasnoyarsk Territory, based on data from two periods – pre-crisis (2012–2018) and including the COVID‑19 pandemic and strengthening of foreign trade sanctions (2012–2021). The results showed the sensitivity of the stakeholder value model to changes in macro conditions, which confirms the validity of the methodology for solving problems of operational management of corporate processes. The prospects for the research lie in the area of expanding the composition of stakeholder groups, developing methods for establishing operational connections between them and their assessment.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-61-70
Т. Qu
The year 2023 marks the 10th anniversary of the initiation of the «One Belt and One Road» initiative. Belarus, as one of the countries along the One Belt and One Road, is actively responding to the initiative’s call and participating in its joint implementation. The author creatively establishes a connection and conducts a profound analysis of the China- Belarus Industrial Park and the International Land Port of Gansu (Lanzhou). The article assesses the present status and development progress of the two projects, identifying pertinent issues and proposing solutions through a methodical approach that combines theoretical analysis with practical application. A theoretical framework for these two projects is presented, aiding in surmounting challenges and charting the future trajectory of collaboration. The study’s objective is to introduce novel developmental concepts for Park administrators and policymakers, while also pinpointing fresh avenues for growth within the Park development of both countries, to contribute to economic advancement more effectively.
{"title":"Study on the Development of Interregional Synergistic Construction (Taking the China-Belarus Industrial Park and the International Land Port of Gansu as Examples)","authors":"Т. Qu","doi":"10.26794/2304-022x-2023-13-4-61-70","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-61-70","url":null,"abstract":"The year 2023 marks the 10th anniversary of the initiation of the «One Belt and One Road» initiative. Belarus, as one of the countries along the One Belt and One Road, is actively responding to the initiative’s call and participating in its joint implementation. The author creatively establishes a connection and conducts a profound analysis of the China- Belarus Industrial Park and the International Land Port of Gansu (Lanzhou). The article assesses the present status and development progress of the two projects, identifying pertinent issues and proposing solutions through a methodical approach that combines theoretical analysis with practical application. A theoretical framework for these two projects is presented, aiding in surmounting challenges and charting the future trajectory of collaboration. The study’s objective is to introduce novel developmental concepts for Park administrators and policymakers, while also pinpointing fresh avenues for growth within the Park development of both countries, to contribute to economic advancement more effectively.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-03DOI: 10.26794/2304-022x-2023-13-4-71-89
P. Mikhnenko
The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.
{"title":"Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning","authors":"P. Mikhnenko","doi":"10.26794/2304-022x-2023-13-4-71-89","DOIUrl":"https://doi.org/10.26794/2304-022x-2023-13-4-71-89","url":null,"abstract":"The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.","PeriodicalId":517032,"journal":{"name":"Management Sciences","volume":"12 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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