CC BY
0UDC 338.12
AUTOMOTIVE INDUSTRY DIGITALIZATION: EFFECT ON THE LABOR MARKET, BUSINESS MODELS AND CONSUMER BEHAVIOR
(ЦИФРОВИЗАЦИЯ АВТОМОБИЛЬНОЙ ПРОМЫШЛЕННОСТИ: ВЛИЯНИЕ НА РЫНОК ТРУДА, БИЗНЕС-МОДЕЛИ И ПОВЕДЕНИЕ ПОТРЕБИТЕЛЕЙ)
Ogneva E.D., 2-year student of the Master's degree in 23.04.03 Operation of transport and technological machines and complexes Scientific supervisor: Candidate of Technical Sciences, Associate Professor Egorov R.N. Language advisor: Senior Lecturer of the Department of Russian and Foreign Languages
Sergeeva N.A. FSBEI HE RT SAU
АННОТАЦИЯ
В данной статье рассматривается, как цифровизация автомобильной промышленности вносит значительные изменения в экономические и социальные аспекты современного транспорта. На основе изучения существующей литературы и анализа данных о текущих тенденциях анализируется влияние цифровизации на рынок труда, бизнес-модели и поведение потребителей. Исследование направлено на выявление ключевых факторов, формирующих новую реальность автомобильного сектора в цифровую эпоху.
КЛЮЧЕВЫЕ СЛОВА
Цифровизация, автомобильная промышленность, транспорт, рынок труда. ABSTRACT
The paper examines how the digitalization of the automotive industry is bringing about major changes in the economic and social aspects of modern transportation. Based on a review of existing literature and analysis of current trend data, the impact of digitalization on the labor market, business models and consumer behavior is analyzed. The study aims to identify the key factors shaping the new reality of the automotive sector in the digital age.
KEYWORDS
Digitalization, automotive industry, transportation, labor market.
Introduction. The digitalization is one of the brightest modern trends that has a direct impact on the nature of labor relations (their greater flexibility, similarity to civil law relations) and on the state of employment in various states and regions.
The term «digitalization» is derived from the noun "digit" or the adjective "digital". It thus refers to the introduction of digital technologies, data transmission streams and digital transmission devices (computers, smartphones, tablets, televisions, smartwatches, etc.) into all areas of society and the economy [1].
The purpose of the work is to systematize and analyze the consequences of the digitalization of the automotive industry for the labor market, business models, and consumer behavior, taking into account current trends and development prospects.
Materials and methods of research. The digitalization of the automotive industry has a significant impact on the labor market, changing both the jobs themselves and the skills and competences required of employees. Let's take a closer look at some aspects of this impact.
The introduction of digital technologies, robotics and the automation of production processes in the automotive industry is changing the nature of jobs. According to a study by the McKinsey Global Institute, automation could lead to the loss of between 400,000 and 800,000 automotive manufacturing jobs in Europe and the United States by 2030. At the same time, the development of the autonomous and electric vehicles could create between 1.2 and 2 million new jobs in the development, testing and maintenance of these technologies.
Employees with skills in machine learning, artificial intelligence, data analytics, cybersecurity and electrical engineering will be increasingly in demand.
In general, the digitalization of the automotive industry is leading to structural changes in the labor market that require both employees and employers to adapt. Workers must be prepared to continuously update their skills and competences in line with the requirements of the rapidly changing automotive industry [2].
The digitalization of the automotive industry is having a significant impact on the sector, changing working models and creating new opportunities.
Results and discussion. According to Tesla's financial statements for 2023, the company increased its revenue by 85% compared to the previous year, reaching a total revenue of $48.1 billion. Most of its revenue comes from the sale of electric vehicles and ancillary services, including Autopilot.
Digital technologies are enabling the creation of new business models such as carsharing, carsharing platforms and customized mobility services.
Companies can use vehicle usage data to optimize services and meet customer needs.
The development of the electric vehicle market requires new business approaches. Companies involved in the production and sale of cars need to respond to changing demand and develop their products and services in accordance with new technologies. For example, companies like GM are developing electric vehicles such as the Chevrolet Bolt and Cadillac Lyriq to meet the demands of a market focused on reducing emissions and increasing transportation efficiency. At the same time, companies such as Waymo and Tesla are working to develop and deploy autonomous driving technologies that are changing the paradigm of car ownership and use.
In-vehicle digital technologies, such as infotainment systems, navigation systems, safety systems and vehicle management through mobile applications, are significantly enhancing the experience of owning and using a car.
Consumers gain access to a wide range of features and capabilities that make driving more convenient, safer and tailored to their needs.
The digitalization of the automotive industry offers consumers greater choice and personalization. For example, according to a J.D. Power study, the market share of electric vehicles is expected to reach 20% by 2023, giving consumers a wide range of choices in terms of features and functionality. The emergence of carsharing and carpooling is also gaining popularity: the global carsharing market is estimated to be worth $6.2 billion in 2022, and is forecast to grow to $16.9 billion by 2028, according to Grand View Research. Digital technologies are making cars more personalized: for example, voice control systems and settings for seats, mirrors and lighting that improve driving comfort. Safety and convenience are also improving: according to NHTSA research, driver assistance systems reduce the number of traffic accidents by 40% [3]. All of this is changing the experience of owning and using a car, making it more individualized and convenient for consumers.
In addition, according to a McKinsey study, more than 70% of consumers value the ability to integrate smartphones into cars to access various applications and services. This confirms the growing demand for innovative in-car technologies that improve interaction and usability for consumers [4]. Moreover, with the development of autopilot systems and the expansion of car connectivity, consumers are gaining more freedom and convenience while driving. For example, Tesla offers the ability to update the car's software over the internet, allowing new features and improvements to be introduced without having to visit a service center. As a result of the digitalization, consumers are getting smarter, more flexible and customizable cars that better suit their needs and preferences.
An analysis of the impact of the digitalization of the automotive industry on various aspects of society has identified significant changes and challenges that digital transformation will bring to the automotive industry.
The labor market is undergoing a transition towards more high-tech and specialized jobs, while at the same time traditional jobs may be reduced due to automation. However, the
digitalization also opens up new employment prospects in the development, maintenance and management of new technologies in the automotive industry.
The digitalization creates new opportunities for businesses in the form of innovative business models, new mobility services, electric mobility and fleet management. However, companies also face new challenges. They need to adapt to a rapidly changing market and integrate digital technologies into their operations.
For consumers, the digitalization of the automotive industry brings improvements in the form of enhanced user experience, more choice in terms of electric vehicles and mobility services, as well as personalization and increased safety and comfort.
Conclusions. The digitalization of the automotive industry is thus transforming all aspects of the automotive industry, creating both new opportunities and new challenges for society, companies and consumers. Successfully adapting to these changes requires constant updating of knowledge and skills, as well as flexibility and innovation on the part of all participants in this dynamically evolving industry.
Библиография:
1. Бутусов Д.В. Аналитическое обоснование бизнес-модели компании -оператора автомобильного рынка: автореф. дис... канд. эконом. наук 08.00.12/ М., 2021. 25 с.
2. Аншина М.Л., Славин Б.Б., Уайт Т. Цифровая трансформация бизнеса: Учеб. пособие. М. : ООО «Издательство «КноРус», 2021. 272 с.
3. Сайт Atlassian // URL: https://atlassian.com (дата обращения 17.03.2024).
4. Сайт Platform V // URL: https://platformv.sber.ru (дата обращения 17.03.2024).
References:
1. Butusov D.V. Analytical substantiation of the business model of the company - the operator of the automobile market: author's abstract. diss... candidate of economic sciences 08.00.12 / M., 2021. 25 p.
2. Anshina M.L., Slavin B.B., White T. Digital transformation of business: Textbook. manual. M.: OOO "Izdatelstvo" Knorus ", 2021. 272 p.
3. Atlassian website // URL: https://atlassian.com (date of access 03/17/2024).
4. Platform V website // URL: https://platformv.sber.ru (date of access 03/17/2024).
UDC 658.562.012.7
STATISTICAL ANALYSIS AND EVALUATION OF KOMBUCHA BEVERAGE
PRODUCTION
(СТАТИСТИЧЕСКИЙ АНАЛИЗ И ОЦЕНКА ПРОИЗВОДСТВА НАПИТКА КОМБУЧА)
Prokopov M.A., 2-year postgraduate student in scientific specialty 4.3.1 Technologies, machines and equipment for the agro-industrial complex. Scientific supervisor: C.Sc. (Pedagogy) Alipichev A.Yu. FSBEI HE RT SAU
АННОТАЦИЯ
В статье представлен ход выполнения статистического анализа точности и стабильности технологического процесса производства напитка комбуча с применением набора методов и действий для целей определения закономерностей изменения его показателей во времени, а также их регулирования и улучшения.
