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Analyzing the Auto Industry: Benchmarking for Competitive Market Assessment

Published: 13 May 2024 Publication History
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  • Abstract

    This study examines the role of benchmarking in enhancing the competitiveness of the automotive industry. It explores how benchmarking can be used as an effective tool for managing innovative development, borrowing experiences from market leaders, and creating competitive automotive products with the support of government policies. The research employs scientific abstraction, induction and deduction, economic-mathematical modeling, expert evaluation, survey, and factor analysis. A special focus is placed on internal, strategic, and competitive benchmarking, as well as the analysis of import and export transactions within the automotive industry. The findings highlight the significant role of benchmarking in the automotive industry, demonstrating how it has been successfully implemented by leading foreign automakers. The study reveals how benchmarking contributes to the development of innovative and competitive automotive products, with a particular emphasis on the performance of the Uzbek automotive industry. The study underscores the importance of benchmarking in the global automotive market, suggesting that for national automotive enterprises to achieve a sustainable competitive level, a strategic approach involving the dissemination of benchmarking methodology is crucial. It also highlights the need for state support in the form of a national auto-industrial alliance and policy interventions to promote a competitive environment and innovation in the automotive sector.

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    ICFNDS '23: Proceedings of the 7th International Conference on Future Networks and Distributed Systems
    December 2023
    808 pages
    ISBN:9798400709036
    DOI:10.1145/3644713
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 13 May 2024

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