INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 85
INNOVATIVE MANAGEMENT IN THE TEXTILE INDUSTRY: ENHANCING
EFFICIENCY THROUGH DIGITAL TECHNOLOGIES AND FOREIGN EXPERIENCE
Khamidova Shakhzoda Odiljanovna
Andijan State Technical Institute, assistant. Andijan, Uzbekistan.
e-mail:
Abstract:
This article explores the issues of improving methods for managing innovative
activities in textile and knitwear industry enterprises, as well as creating new consumer values by
introducing innovative projects into management practices. The study covers measures aimed at
increasing the production efficiency of industrial enterprises, ensuring their financial stability,
and enhancing the global competitiveness and innovation development index of the national
economy.
Keywords:
industry, textile industry, innovation, innovative activity, economic efficiency, labor
productivity, innovative management, management models, financial management, foreign
experience, digital technologies.
Introduction.
In the state policy aimed at ensuring the stability of economic growth in the countries of
the world, the creation of new consumer values through the introduction of innovative projects
into the management practice of industrial enterprises is defined as one of the priority areas. As a
result of the development of modern technologies, there is a need to introduce innovative
management methods in the production processes of industrial enterprises and the effective use
of modern tools of the digital economy.
In the 1980s, an increase in production costs at industrial enterprises, a decrease in
household incomes, and a decrease in the profitability of industrial enterprises in the countries of
the world negatively affected the financial stability of the overall economy. This situation has led
to the need to orient production processes in the sectors of the national economy of most
countries towards innovative management.
Issues of managing innovative activity at enterprises of the textile and garment and
knitwear industry have a significant impact on the development of this industry. The effective
use of scientific and technological achievements by industrial enterprises, their integration with
digital technologies, and increasing their competitiveness in the market are among the important
tasks.
Leading countries of the world use various approaches to the development of innovative
activity. In Germany, within the framework of the "Industry 4.0" program, production processes
are fully automated, and artificial intelligence and IoT technologies are widely used. Japan and
South Korea have achieved great success in optimizing the textile industry through robotics and
automated systems. The USA and China have achieved increased competitiveness in the textile
industry by developing high-tech production clusters.
In Turkey, a system for supporting innovative programs for small and medium-sized
businesses has been developed, which helps local entrepreneurs master new technologies. India,
thanks to the strong development of the IT sector, effectively uses artificial intelligence and big
data technologies in the textile industry.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 86
Enterprises must have clear mechanisms for improving the management of innovation
processes. For this, it is necessary to define a system of action plans, responsible structures,
deadlines, and resources. Regulatory documents on the management of innovation processes
should be clearly defined at various levels of the enterprise, including in the management system
and the financing process.
The organization and effective management of innovation processes at the enterprise
depends on a number of factors, including the level of development of innovation potential. This
process is characterized by workplace literacy, research and development, system stability, and
the ability to implement new products. Also, an important factor is the allocation of sufficient
funds for the implementation of innovative projects.
The Innovation Development Department plays a central role in this process. It must have
specially trained personnel, an organizational structure, and a unique status. The management
system of the innovation unit must be ready to accept new opportunities. This division is
engaged in the analysis of data on innovations, the development of strategic programs and
promising solutions, as well as the adaptation of production processes to new requirements and
rules.
In addition, highly qualified scientific personnel in the organization should pay attention to
the protection of commercial secrets, scientific research, and the needs of users. It is important
that their activities are aimed at the constant improvement and modernization of production
methods. These are indicators reflecting labor productivity at enterprises.
Labor productivity is a developing indicator. It is constantly changing under the influence
of many causes and factors. Some of them contribute to increasing labor productivity, while
others can lead to its decline. In addition, the conditions under which the labor process takes
place can also influence the level and growth of labor productivity. If conditions are favorable,
they intensify the influence of a particular factor, or if unfavorable, they weaken this influence.
For example, natural and climatic conditions significantly affect the results of labor in
agriculture and its productivity. Social conditions related to the forms of ownership of the means
of production, as well as conditions related to production relations, can have a serious impact on
labor productivity under other equal conditions.
The increase in labor productivity at the enterprise manifests itself as follows:
Increasing the volume of products without changing the quality of products created per
unit of time;
Improvement of quality without changing the volume of products created per unit of time;
Reduction of labor costs per unit of output;
Reduction of the share of labor costs in the cost of production;
Reduction of production and turnover time of goods.
External factors include:
Changes in the level of diversity and productivity of products in connection with changes
in state orders and market supply and demand;
Socio-economic changes in society and regions;
The level of labor cooperation, material and technical supply, natural conditions, etc.
In our opinion, the most important socio-economic factors influencing labor productivity in
the management of innovative activity at textile and garment and knitwear enterprises include:
1. Economic factors
Technological progress - the introduction of automation, digital technologies, and
artificial intelligence - increases labor productivity.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 87
Production infrastructure - updating modern means of production, equipment, and
technologies contributes to increased productivity.
Financial resources - financing of innovative projects, availability of investments and
credit resources play an important role.
Market and economic stability - the equilibrium of supply and demand, the inflation rate,
and the level of economic stability directly affect productivity.
2. Social factors
Working conditions - the creation of a safe and comfortable working environment, the
health of workers - increase productivity.
The level of personnel qualifications and education - constant improvement of knowledge
and skills, a high level of professional training is important.
Social protection and wages - workers work more effectively when their salaries,
incentive systems, and social guarantees are high.
Motivation and interest in work - the reward system, career growth, and the psychological
environment at the workplace have a great influence on labor productivity.
3. Organizational and managerial factors
An effective management system - good planning and management - increases
productivity.
It is necessary to pay attention to the optimal distribution of working time - prevention of
overload, balance of rest and working time.
Teamwork and corporate culture - cooperation and effective communication between
employees increase productivity.
4. Innovative and digital factors
The use of automated systems - artificial intelligence and robotics - increases productivity.
The introduction of information technologies - cloud technologies, ERP systems, and
systems based on artificial intelligence - will optimize production processes.
Electronic control and remote work systems - in the digital economy, remote work
contributes to increased productivity.
The following models can be used for the development of innovative management at
enterprises of the textile and garment and knitwear industry:
Centralized Management Model - The enterprise's innovation policy is determined by a
single center.
Interdepartmental Integrated Model - Innovative activity is organized separately in each
department and operates on the basis of mutual cooperation.
The Technopark model is a way of developing and implementing innovations in
cooperation with research institutions and manufacturing enterprises.
Smart production model - organization of high-tech production processes using IoT and
automated systems.
The textile industry plays an important role in the development of the economy of
Uzbekistan, and the growth of its socio-economic indicators leads not only to an increase in this
sector, but also to an increase in the country's economic potential. Based on the foregoing, the
improvement of the mechanism for managing innovative potential in the textile industry remains
the most pressing issue. Therefore, as a result of our research, a model for managing innovative
activity at enterprises of the textile and garment and knitwear industry has been developed.
One of the most pressing issues today in the management of innovative activity at
enterprises of the textile and garment and knitwear industry is financing. In addition to the state
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 88
budget or foreign investments, enterprise funds, that is, a certain part of the profit received, are
spent on innovation, innovations, inventions. As the analysis conducted in the research work
shows, it can be said that work in this direction is being carried out slowly, since science and
technology do not sufficiently meet the internal needs of enterprises. As a result, the cost of
manufactured products is increasing, and the prices of goods and products on the market are
rising. Another key aspect of this is the decline in the effectiveness of innovations.
Figure 1. Models of innovative management at textile and garment and knitwear
industry enterprises.
Digitalization is an important factor in accelerating innovation processes. The introduction
of digital technologies in enterprises, the use of big data, artificial intelligence, and automated
management systems will increase efficiency. Digital solutions allow optimizing production
processes, reducing costs, and accelerating the implementation of innovative projects.
The introduction of the Department of Innovative Development of the Processing Industry
is crucial for further increasing the innovative potential of enterprises. The innovation
development department should work under the leadership of a manager and include specially
trained specialists.
In today's global economy, industrial enterprises need to pay great attention to flexibility to
increase competitiveness. In the context of the development of market relations, the organization
and effective management of production processes using modern methods is of great importance.
Industrial enterprises, as an integral part of the national economy, contribute to the economic
stability of the country and the well-being of the population.
It is necessary to deeply study the factors hindering innovative activity and contributing to
its development. This will contribute to the acceleration of innovation processes at the national
level, the formation of a modern and flexible innovation policy, and the setting of effective
strategic goals. In accordance with the strategic goals of innovative development, it is necessary
to create the necessary conditions for the modernization, technical and technological renewal of
economic sectors.
In developed countries, great attention is paid to the strategic management of investments
to increase the innovative activity of industrial enterprises. This serves to increase the efficiency
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 89
of industrial production and accelerate innovation processes. The expansion of the range of
innovative products and services allows for the introduction of new forms of production
processes, the creation of new jobs, and the development of international cooperation.
Increasing the sustainability of enterprises based on innovations is carried out by
systematically reviewing and optimizing the innovation strategy. At the same time, the clustering
approach is also important, which includes such stages as preparation, analytical analysis,
strategic planning, implementation, and forecasting prospective development.
Innovations are an economic process in constant motion and are the main factor in the
creation and development of new products and services. Therefore, state policy on scientific
research and the effective development of economic sectors should be based on advanced
scientific technologies.
Today, the widespread introduction of digital technologies in industrial enterprises is of
great importance. In particular, artificial intelligence (AI), IoT (Internet of Things), Big Data (big
data), and cloud technologies (Cloud Computing) are becoming an integral part of innovative
management. These technologies provide the following advantages:
Automation of production processes - this allows saving time and costs;
Making analytical decisions based on data - increasing management efficiency through
rapid analysis of large amounts of data;
Increasing competitiveness - increasing product quality and production volume through
innovative technologies;
Increasing labor productivity - reducing the influence of the human factor with the help
of robotics and automated systems;
Cost optimization - increasing energy efficiency and reducing excessive resource
consumption.
Through the implementation of digital technologies, the innovation management system
works more effectively and helps industrial enterprises quickly adapt to market requirements.
In order to increase the effectiveness of innovation management in the digital economy, the
following proposals are put forward:
Improvement of the system of financing innovative projects at enterprises of the textile
and garment and knitwear industry;
Further strengthening of the regulatory framework for the development of innovative
activity;
Study of advanced foreign experience and adaptation to national economic conditions;
Increasing labor productivity through the integration of digital technologies into
production processes;
Increasing competitiveness through the widespread use of artificial intelligence and
IoT technologies.
These proposals will serve the development of an innovative management system and
increase the competitiveness of industrial enterprises.
In conclusion, the need to increase the economic efficiency of production enterprises is
undeniable. Firstly, market conditions do not tolerate stagnation, insolvency, and losses.
Secondly, if industrial enterprises do not pay sufficient attention to increasing labor productivity,
this not only limits the prospects of workers, but also negatively affects the stability of the entire
enterprise. Therefore, the efficient use of all types of resources and increasing labor productivity
at each stage of production processes is an important factor ensuring the economic efficiency of
any enterprise.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 03,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 90
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3. President of the Republic of Uzbekistan Sh. MIRZIYOYEV MIRZIYOYEV "On Measures
for the Further Development of Light Industry and Stimulating the Production of Finished
Products," No. PP-4453, September 16, 2019, lex.uz.
4. Abdukarimov B.A. Enterprise Economics. -T.: "Fan," 2015.
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2017.
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DEVELOPMENTS AND RESEARCH IN EDUCATION, 2 (19), 99-101. Retrieved from
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