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Journal articles on the topic 'Automotive market segmentation'

Author: Grafiati

Published: 10 September 2021

Last updated: 17 July 2025

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1

Taylor-West, Paul, Jim Saker, and Donna Champion. "Market segmentation strategies for complex automotive products." Journal of Strategic Marketing 28, no. 3 (2018): 266–83. http://dx.doi.org/10.1080/0965254x.2018.1555548.

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Kim, Dayoung, Donghee Kim, and Jungsuk Oh. "Automotive telematics market segmentation based on quality expectations." ASIA MARKETING JOURNAL 16, no. 3 (2014): 57. http://dx.doi.org/10.15830/amj.2014.16.3.57.

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Kubiczek, Jakub, and Bartłomiej Hadasik. "Segmentation of Passenger Electric Cars Market in Poland." World Electric Vehicle Journal 12, no. 1 (2021): 23. http://dx.doi.org/10.3390/wevj12010023.

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Striving to achieve sustainable development goals and taking care of the environment into the policies of car manufacturers forced the search for alternative sources of vehicle propulsion. One way to implement a sustainable policy is to use electric motors in cars. The observable development of the electric car market provides consumers with a wide spectrum of choices for a specific model that would meet their expectations. Currently, there are 53 different electric car models on the primary market in Poland. The aim of the article was to present the performed market segmentation, focused on i

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Prarendra, Irfan, and Peggy Hariwan. "Analisis Dimensi Strategi Kompetitif dan Pemetaan Strategic Group Produsen Kendaraan Sport Utility Vehicle di Pasar Indonesia." Jurnal Manajemen dan Bisnis Indonesia 1, no. 3 (2014): 368–84. http://dx.doi.org/10.31843/jmbi.v1i3.30.

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The purpose of this study is to analyze the dimensions of competitive strategy and strategic mapping group of vehicle manufacturers in the segment Sport Utility Vehicle. Since the government applied liberalization automotive policy in 1999, the automotive industry in Indonesia has improved significantly so that the competition increased. It can be seen from the increasing number of foreign brands that entered Indonesiaâ€™s market. National car sales continue to rise and break the number of 1.229.903 units in 2013. The segmentation of products in the automotive industry is based on the function

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Mufakhhir, Abdulaziez, Sutopo Patria Jati, and Septo Pawelas Arso. "Marketing strategy analysis based on segmenting and targeting in hospital: A literature review." Malahayati International Journal of Nursing and Health Science 6, no. 6 (2023): 432–41. http://dx.doi.org/10.33024/minh.v6i6.12936.

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Background: Healthcare services have undergone changes in several strategic business units that require proper management handling. The evolution of hospitals, accompanied by the high demands of the community for services, has led hospitals to compete in seeking new opportunities and strategies to meet consumer (patient) needs. In an effort to meet consumer expectations and desires, hospitals need to design a marketing mix that provides value to the target consumers. Management planning serves the target market based on hospital market segmentation.Purpose: To define the analysis of healthcare

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Voloshin, Vyacheslav, and Viktoriya Gonchar. "Research of Money Characterstics in the Condutions of Segmentation of their Digital Analogues." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 5(38) (2020): 141–51. http://dx.doi.org/10.32515/2663-1636.2020.5(38).141-151.

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The paper presents an attempt to study new qualitative characteristics of money that they will receive in the event of legalization of options for digital currencies in the world market. The logic of the development of the modern cryptocurrency segment is such that they will potentially be able to change the world market towards a complete rejection of the cash. This, in turn, will significantly change the system of commodity-money relations in favor of holders or managers of digital currencies, which will become uncontrollable from both their passive owners and the state. It is shown that the

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Singh, Ramendra, Pramod Paliwal, and Sanjay Sakariya. "Prabhar Oil Company, and distribution challenges in the Indian lubricants industry." Emerald Emerging Markets Case Studies 1, no. 1 (2011): 1–14. http://dx.doi.org/10.1108/20450621111110672.

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Subject area Marketing-managing customer relationship, market positioning, target marketing, product strategy, distribution, retailing and supply chain management, integrated marketing communications. Study level/applicability Undergraduate and graduate students in international marketing; business administration; strategic decision making and general management courses. Case overview The case study focuses on the current scenario within the Indian automotive lubricants industry, in order to provide an understanding of the marketing challenges, especially in retailing and distribution, faced b

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Viswanathan, Siva, Jason Kuruzovich, Sanjay Gosain, and Ritu Agarwal. "Online Infomediaries and Price Discrimination: Evidence from the Automotive Retailing Sector." Journal of Marketing 71, no. 3 (2007): 89–107. http://dx.doi.org/10.1509/jmkg.71.3.089.

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This article focuses on a novel mechanism for market segmentation and price discrimination based on consumers' use of online infomediaries. Using the automotive retailing context as the setting for the study, the authors address the following question: Can online infomediaries serve as a viable mechanism for market segmentation and price discrimination? They draw on a unique and extensive data set of consumers who report on the information they found when using online buying services (OBS) as part of their new vehicle purchase process. The analysis of the data set shows that consumers who obta

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Mandapuram, Mounika, Sai Srujan Gutlapalli, Manjunath Reddy, and Anusha Bodepudi. "Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation." Global Disclosure of Economics and Business 9, no. 2 (2020): 141–50. http://dx.doi.org/10.18034/gdeb.v9i2.662.

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In recent years, rapid advancements have been made in information technology, processing power, data handling systems, robotics, and artificial intelligence. These advancements have been made possible by recent developments in robotics. As a result of its tremendous potential and usefulness, it is currently being utilized in a wide variety of industries, including information technology, the retail sector, space science, the automotive industry, the entertainment industry, medical, transportation, medical, social sciences, and business management, amongst others. This article focuses on the ex

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Cai, Qingyu. "Case Study of Model Selection on Customer Information Task Based on Machine Learning Algorithms." BCP Business & Management 38 (March 2, 2023): 2827–35. http://dx.doi.org/10.54691/bcpbm.v38i.4197.

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In today's era of high-speed development, more and more companies are finding customers with different needs in the market. Due to the large market size, each company cannot tailor its market for each customer, it’s difficult for them to predict the customer’s need, so market segmentation has emerged. This paper will use a case study about an automotive company to choose a best prediction modelusing the information of existing products and customers. The company divides the customer into 4 segmentations A, B, C and D. The quantitative method of study will be used to find the relationship betwe

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Sudrajat, Darjat. "Segmentasi Pasar Penyedia Jasa Logistik (Third Party Logistics) di Indonesia." Binus Business Review 1, no. 2 (2010): 332. http://dx.doi.org/10.21512/bbr.v1i2.1079.

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Market segmentation is fundamental in marketing strategy and the first step of market-based strategy preparation, to strengthen its marketing efficiency, and creating opportunities for sales growth and profits. This also applies to market segmentation logistics service providers (TPL - Third Party Logistics), the market is highly developed in the last decade, so that the logistics service providers has to develop marketing strategies properly. The purpose of this research is to gain a better understanding of different industries that exist today and map the needs of the logistics services of T

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Chen, Ziyi, Decheng Liu, and Tiantian Wan. "Construction of Objective Segmentation Model of Automobile Users Based on Unsupervised Learning." Academic Journal of Science and Technology 8, no. 3 (2023): 74–80. http://dx.doi.org/10.54097/0t9tck30.

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With the rapid development of new energy vehicles and intelligent connected vehicles, today's automotive consumption has shifted from product centric to user centric. Grouping automobile users and conducting in-depth research on their characteristics and needs can provide certain support and guidance for manufacturers in planning and developing vehicle models, market validation, etc. However, current research on car user segmentation models is relatively lagging behind, and existing models use subjective factors such as values/automotive views/consumption views as modeling indicators. In the a

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Chen, Hong Bing, and Chao Li. "Research and Design of Multi-Angle Car Reversing Auxiliary System." Applied Mechanics and Materials 644-650 (September 2014): 360–62. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.360.

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According to the current situation and the market needs, an automotive electronics intelligent auxiliary system was designed based on video segmentation technology and OSD display technology. By installing wide viewing fisheye, the system can get the video image information of environment behind the car from multi directions and relieazed 4 splited screens. Thus, vision of dead zone behind the car is maximized and make driving efficiency, safety and comfort are also improved at the same time.

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Dakić, Pavle, Igor Stupavský, and Vladimir Todorović. "The Effects of Global Market Changes on Automotive Manufacturing and Embedded Software." Sustainability 16, no. 12 (2024): 4926. http://dx.doi.org/10.3390/su16124926.

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The procedures used to create modern cars require extensive thought in various relevant scientific domains. Arguably, the most challenging obstacle facing the automobile sector is the management of production facilities by integrating software production lines, continuous integration, and continuous delivery/continuous deployment (CI/CD). All this is determined by market demands, the engine of a vehicle, and the complexity of assembling the entire car and installing its corresponding embedded software. As a result, concerns about various types of global change have grown, as has the lack of th

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Thun, Eric. "Innovation at the middle of the pyramid: State policy, market segmentation, and the Chinese automotive sector." Technovation 70-71 (February 2018): 7–19. http://dx.doi.org/10.1016/j.technovation.2018.02.007.

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EDUARDO VIEIRA ANTONINI, CARLOS. "O PROCESSO DE CONSTRUÇÃO DE VALOR DE UMA MARCA NO MERCADO AUTOMOBILÍSTICO BRASILEIRO." Revista Científica Semana Acadêmica 01, no. 200 (2020): 1–34. http://dx.doi.org/10.35265/2236-6717-200-09003.

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This article aims to show the importance of brand building in the Brazilian automotive market. For this was an explanation about the arrival of automobiles in Brazil, as the market is segment-ed, the major brands and their respective interests, a brief explanation of certain concepts fun-damental to the formation of a strong brand, for example, analysis of the 4P's the consumer be-havior, segmentation and positioning. Besides developing the concept of what brand is, its im-portance for consumers and businesses, its elements, the concept of brand equity, factors and trainers of the same buildin

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Yu, Qianqian, Miao Zhang, and Yanwangqing Ju. "BMW's International Marketing Strategy Analysis." Advances in Economics, Management and Political Sciences 42, no. 1 (2023): 89–96. http://dx.doi.org/10.54254/2754-1169/42/20232084.

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This research explores BMWs international marketing strategies, illuminating the companys dynamic approach to global expansion and local market adaptation. Renowned for its luxurious and high-performance vehicles, BMW has successfully established a prestigious brand image worldwide. This study investigates the pillars of this international success, emphasizing its innovative product strategy, effective localization, comprehensive customer engagement, and commitment to sustainability. The study further dissects BMWs market segmentation, positioning, and targeting approaches, which have helped t

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Ardiansyah, Giri Teguh, Muhammad Satir Hasibuan, Suhari Santosa, and Jerry Heikal. "Mapping the Wuling vehicle market with K-Means Clustering: An effective digital marketing strategy." Jurnal Fokus Manajemen Bisnis 14, no. 2 (2024): 136–50. http://dx.doi.org/10.12928/fokus.v14i2.10026.

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This study focuses on Indonesia’s automotive industry sector, which is currently experiencing growth, particularly in terms of Wuling's contribution to the economy through sales. The aim is to identify customer clusters for Wuling vehicle and the marketing mix strategy after the most dominant customer cluster for Wuling vehicle. The research method used was a quantitative survey, which involved collecting data from 111 potential Wuling customer using purposive sampling and data collection through questionnaires. The analysis included an F-Test to examine the differences between clusters. The r

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Guo, Xiaotong, Ao Qu, Hongmou Zhang, Peyman Noursalehi, and Jinhua Zhao. "Dissolving the segmentation of a shared mobility market: A framework and four market structure designs." Transportation Research Part C: Emerging Technologies 157 (December 2023): 104397. http://dx.doi.org/10.1016/j.trc.2023.104397.

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Zheng, Xiangyu. "Analysis of New Energy Vehicle Marketing Strategy - Taking Xiaomi as an Example." SHS Web of Conferences 218 (2025): 01008. https://doi.org/10.1051/shsconf/202521801008.

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The global automotive industry is accelerating its transformation to new energy vehicles, affected by climate change, energy crisis, and policy promotion. As a leading technology company in China, Xiaomi announced its entry into the new energy vehicle industry in 2021 and launched its first smart electric car Xiaomi SU7 at the end of 2023. This study analyzes the marketing strategy of Xiaomi’s new energy vehicles and explores its advantages and challenges in a highly competitive market environment. This paper adopts case analysis, data comparison, and policy analysis methods to discuss market

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21

Kamaratih F, Yositalida, Rizkita Bagus Perdhana, Yusuf Wahyu Nugroho, and Jerry Heikal. "Mendorong Pertumbuhan Pangsa Pasar B2B untuk Sektor Ride-Hailing Menggunakan Segmentasi Pasar Strategis." BUDGETING : Journal of Business, Management and Accounting 5, no. 2 (2024): 1591–601. http://dx.doi.org/10.31539/budgeting.v5i2.9609.

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The expansion of Indonesia's ride-hailing sector has been considerable, fueled by technological advancements and the widespread embrace of smartphones. Despite its swift growth, the industry faces difficulties concerning long-term viability, safety issues, and compliance with governmental regulations. Nevertheless, the integration of advanced technologies and strategic plans for service expansion into new regions presents significant opportunities. The competitive environment in Indonesia's ride-hailing market not only stimulates innovation but also shapes a lively and evolving market atmosphe

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Trunina, Iryna, and Kateryna Pryakhina. "Strategy of Economic Development of Small Enterprises." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 8(41) (2022): 234–44. http://dx.doi.org/10.32515/2663-1636.2022.8(41).234-244.

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The article defines that small enterprises are an important driving force of economic development. This is proved by the share of such enterprises in the total number of Ukrainian enterprises, namely 95,2 %. However, the analysis of domestic and international research on this topic proves the need for development and growth strategies by such enterprises. Theoretical concepts are defined: strategic management, small business strategy and small business subjects. The normative documents of Ukraine, which regulate the activities of small enterprises, namely the Law of Ukraine “On the development

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Dr., V. Devaki Nandini. "A study on customer preference towards two wheelers in Coimbatore city." National Journal of Multidisciplinary Research and Development 3, no. 1 (2018): 796–98. https://doi.org/10.5281/zenodo.4301370.

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Within the past decade two wheeler usage indicates a rapid growth in Indian market. Among the two wheeler population, Indian two wheeler brands representing a huge portion. In this research study researcher put effort to find out what are the factors effect on decisions of consumers on two wheelers. Main purpose of this study was to identify why people prefer two wheeler brands becoming more popular and which factors effect on the purchasing decision and open up the gateway to study on this area among this study. Researcher’s previous working experience at Automotive Industry was lead to

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Huo, Yueying, Jianrong Liu, Jian Zhang, and Xiaojuan Li. "Development of Fuzzy Level of Service Criteria for Bus Rapid Transit considering User Heterogeneities in China." Journal of Advanced Transportation 2020 (July 14, 2020): 1–13. http://dx.doi.org/10.1155/2020/8844590.

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Level of service (LOS) analysis based on LOS criteria is essential for the planning, design, and operational evaluation of public transit. However, there are no systematic transit LOS criteria at present in China. Bus rapid transit (BRT) is receiving increasing attention worldwide. Therefore, this study addresses LOS criteria for BRT in China. Transit passengers are heterogeneous in their perceptions, needs, and behavior. The traditional hard LOS criteria have an inherent weakness, because of which the accuracy of an LOS analysis is limited. Thus, in this study, we initially conducted transit

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Florida, Mary, Vadhana Kumar S, Deepa A.J., Sworna Kokila M.L., and Brilly Sangeetha S. "DEEP GENERATIVE DISCRETE COSINE TRANSFORM FOR SPECTRAL IMAGE PROCESSING." ICTACT Journal on Image and Video Processing 12, no. 4 (2022): 2746–49. https://doi.org/10.21917/ijivp.2022.0390.

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The ever-increasing number of publications and applications in the field of cross-spectral image processing has led to the area receiving greater focus than it previously had. In cross-spectral frameworks, the data from hyperspectral bands is blended with the data from other spectral bands in order to provide responses that are more robust to particular obstacles. Cross-spectral processing could be useful for a variety of applications, including dehazing, segmentation, calculating the vegetation index, and face identification, to name just a few of them. The availability of cross-and multi-spe

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Dewobroto, Wisnu Sakti. "PENGGUNAAN BUSINESS MODEL CANVAS SEBAGAI DASAR UNTUK MENCIPTAKAN ALTERNATIF STRATEGI BISNIS DAN KELAYAKAN USAHA." JURNAL TEKNIK INDUSTRI 2, no. 3 (2012): 215–30. http://dx.doi.org/10.25105/jti.v2i3.7032.

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The development of automotive world in this global era has big bump. It is necessary to know that Indonesian market is getting more developing every day. In the future, Indonesian automobile market is expected to be the one of big market. It is estimated that automotive market in Indonesia may absorb 1 million units of automobile every year. 21 DUA SATUMOTOR is located at Jl. Imam Bonjol Raya no 88 Karawaci,Tangerang. 21 DUA SATU MOTOR has purpose to develop business by establishing automobile salon business, considering quietly large opportunity in BSD City Serpong. This research is to firstl

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Yang, Fan, and Yutai Rao. "Vision-Based Intelligent Vehicle Road Recognition and Obstacle Detection Method." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 07 (2019): 2050020. http://dx.doi.org/10.1142/s0218001420500202.

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With the development of the world economy and the accelerating process of urbanization, cars have brought great convenience to people’s lives and activities, and have become an indispensable means of transportation. Intelligent vehicles have the important significance of reducing traffic accidents, improving transportation capacity and broad market prospects, and can lead the future development of the automotive industry, so they have received extensive attention. In the existing intelligent vehicle system, the laser radar is a well-deserved protagonist because of its excellent speed and preci

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Lv, Caixia, Jia Liu, and Xuejing Zhang. "Research on Intelligent Vehicle Detection and Tracking Method Based on Multivision Information Fusion." Mobile Information Systems 2022 (May 18, 2022): 1–15. http://dx.doi.org/10.1155/2022/6230713.

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With the development of the world economy and the acceleration of the urbanization process, the automobile has brought great convenience to people’s life and production activities and has become an essential means of transportation. Intelligent vehicles have the significance of reducing traffic accidents and improving transportation capacity and broad market prospects and can lead the development of the automotive industry in the future. Therefore, they have been widely concerned. In the existing intelligent vehicle system, lidar has become the leading role due to its excellent speed and accur

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Damayanti, Meiske Nadia, and Rahmawati Zulfiningrum. "Peran Brand Image Sebagai Strategi Komunikasi Pemasaran Iklan Kecik Harian Suara Merdeka." Jurnal Komunikasi Nusantara 4, no. 1 (2022): 106–15. http://dx.doi.org/10.33366/jkn.v4i1.119.

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Before doing marketing activities, several marketing communication strategies are needed. Suara Merdeka, as a legendary newspaper company in Central Java, applies the STP (Segmenting, Targeting, Positioning) strategy to support the role of Suara Merdeka brand image to attract public interest in kecik advertisements. This research method is descriptive qualitative, using the interviews data. The results of this data analysis are then applied using a segmenting strategy where Suara Merdeka uses demographic, geographic, and behavioral segmentation. For the targeting strategy, Suara Merdeka uses S

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Carrete, Israel A., Jelle J. Joustra, and A. Ruud Balkenende. "Circular applications through selection strategies (CATSS): a methodology for identifying reuse applications for end-of-life wind turbine blades." IOP Conference Series: Materials Science and Engineering 1293, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1757-899x/1293/1/012011.

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Abstract Wind turbines are crucial for the energy transition, but their end-of-life treatment presents a challenge. Most wind turbine blades, made from composites, are currently sent for disposal or recycled through methods that degrade the value of the material. Structural reuse through blade segmentation was introduced as a recovery method that maintains high material value throughout subsequent life cycles. Most recovery attempts focus on thermoset composites, but thermoplastics are becoming more common. Unlike thermosets, thermoplastics can be reshaped through thermoforming processes, whic

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Dewantara, Norman, Yudho Novandhika Putra, and Lissa Rosdiana Noer. "Pengaruh social media marketing terhadap purchase intention produk kendaraan listrik berdasarkan Theory of Planned Behavior." Jurnal Manajemen Bisnis dan Kewirausahaan 8, no. 6 (2024): 1450–63. https://doi.org/10.24912/jmbk.v8i6.31499.

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The number of motor vehicles in Indonesia has increased from 2019 to 2021. This has led to emissions of exhaust gases, such as carbon dioxide (CO2) and nitrogen oxides (NOx), which damage air quality and harm the environment. The automotive industry in Indonesia has shifted to adopt environmentally friendly technology, but public interest in electric vehicles remains low. This research aims to analyze the influence of social media marketing on the purchase intention of electric vehicles. The research model is developed from the theory of planned behavior using two intervening variables, namely

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Ding, Fang, Aiguo Wang, and Qianbin Zhang. "Lane Line Identification and Research Based on Markov Random Field." World Electric Vehicle Journal 13, no. 6 (2022): 106. http://dx.doi.org/10.3390/wevj13060106.

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In view of the poor robustness and low accuracy in lane line identification based on digital image processing, this paper proposes a Markov random field intelligent algorithm based on machine learning to identify lane lines. The complete lane line identification steps are as follows: First, high-quality traffic scenario images are created by means of image preprocessing, which includes image graying, grayscale transformation, and the extraction of regions of interest (ROIs). Then, the images are modeled according to Markov random field theory, and model reasoning is performed based on the bina

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Chernenkiy, I. М., M. M. Chernenkiy, D. N. Fiev, and E. S. Sirota. "Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network." Sechenov Medical Journal 14, no. 1 (2023): 39–49. http://dx.doi.org/10.47093/2218-7332.2023.14.1.39-49.

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Aim. Develop a neural network to build 3D models of kidney neoplasms and adjacent structures. Materials and methods. DICOM data (Digital Imaging and Communications in Medicine standard) from 41 patients with kidney neoplasms were used. Data included all phases of contrast-enhanced multispiral computed tomography. We split the data: 32 observations for the training set and 9 – for the validation set. At the labeling stage, the arterial, venous, and excretory phases were taken, affine registration was performed to jointly match the location of the kidneys, and noise was removed using a median fi

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Pahurkar, Rajesh N., and Parag Metha. "Developing Sustainable Marketing Strategy for Electric Vehicle (EV) - Automotif." International Journal of Emerging Research in Management and Technology 6, no. 11 (2018): 115. http://dx.doi.org/10.23956/ijermt.v6i11.54.

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Future of urban mobility is electric vehicle (EV) and there is no doubt about it. At the same time, it is considered as a new product among the automobile industry. However, entire EV industry is evolving and lot of R&D is going to get major lead in this industry.This project puts forward and determines sustainable business strategy for EV by doing external environment analysis using PESTEL and Porter’s five forces and mapping of opportunities and threat which effects company’s direction as well as to locate potential sources of competitive advantage from a perspective that encompasses the

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Zhang, Yuxiao, Ming Ding, Hanting Yang, et al. "LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model." Remote Sensing 16, no. 12 (2024): 2247. http://dx.doi.org/10.3390/rs16122247.

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The perception systems of autonomous vehicles face significant challenges under adverse conditions, with issues such as obscured objects and false detections due to environmental noise. Traditional approaches, which typically focus on noise removal, often fall short in such scenarios. Addressing the lack of diverse adverse weather data in existing automotive datasets, we propose a novel data augmentation method that integrates realistically simulated adverse weather effects into clear condition datasets. This method not only addresses the scarcity of data but also effectively bridges domain ga

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Yin, Ailing, Xiaohong Chen, and Lishengsa Yue. "Extracting Overtaking Segments by Unsupervised Clustering and Predicting Nonmotorized Vehicle’s Trajectory." Journal of Advanced Transportation 2022 (April 13, 2022): 1–21. http://dx.doi.org/10.1155/2022/1410296.

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Interpretation of flexible cycling behavior has always been a tough task. It is meaningful to understand the overtaking behavior of cyclists for its threats to safety and its high frequency on shared roads. Advanced unsupervised nonparametric clustering methods are compared to distinguish the overtaking segments from the whole trajectory based on the cycling characteristics of nonmotorized two-wheelers, while the hierarchical Dirichlet process hidden Markov model (HDPHMM) outperforms the mixture model via the Dirichlet process (DP mixture model) and topic model via the hierarchical Dirichlet p

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Niminet, Liviana Andreea. "AUTOMOTIVE MARKET- FROM A GENERAL TO A MARKET SEGMENTATION APPROACH." STUDIES AND SCIENTIFIC RESEARCHES. ECONOMICS EDITION, no. 18 (December 15, 2013). http://dx.doi.org/10.29358/sceco.v0i18.192.

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Automotive market and its corresponding industry are undoubtedly of outmost importance and therefore proper market segmentation is crucial for market players, potential competitors and customers as well. Time has proved that market economic analysis often shown flaws in determining the relevant market, by using solely or mainly the geographic aspect and disregarding the importance of segments on the automotive market. For these reasons we propose a new approach of the automotive market proving the importance of proper market segmentation and defining the strategic groups within the automotive

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Kim, Dayoung, Donghee Kim, and Jungsuk Oh. "Automotive telematics market segmentation based on quality expectations." Asia Marketing Journal 16, no. 3 (2014). http://dx.doi.org/10.53728/2765-6500.1545.

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benassi, chiara. "Political Economy of Labour Market Segmentation: Agency Work in the Automotive Industry." SSRN Electronic Journal, 2013. http://dx.doi.org/10.2139/ssrn.2354267.

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Krzywdzinski, Martin, Grzegorz Lechowski, and Valentina Mählmeyer. "Lean Work and Gender Inequalities: Manufacturing Consent at a Multinational Car Plant in Provincial Russia." Global Labour Journal 10, no. 2 (2019). http://dx.doi.org/10.15173/glj.v10i2.3488.

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How do local labour market structures, in tandem with workforce dispositions and attitudes, influence the way multinational companies localise their standardised work and production systems? This article investigates the conflict-ridden factory regime of a lean automotive plant in provincial Russia at which the management was able to secure a relatively high level of consent among its female workers but not among male workers. In order to explain this gendered pattern of worker consent, the plant-internal gender division of labour and two societal factors proved crucial: the gendered segmentat

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Polous, Olha, Hanna Radchenko, and Mark Parker. "MARKETING RESEARCH OF TRENDS IN THE DEVELOPMENT OF THE WORLD AUTOMOBILE MARKET." PROBLEMS OF SYSTEMIC APPROACH IN THE ECONOMY, no. 3(89) (2022). http://dx.doi.org/10.32782/2520-2200/2022-3-21.

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The article researches the development trends of the world automobile market in the post-covid period and formulates a strategic vision in the field of using marketing tools on this market. The presence of tendencies towards intensifying competition is outlined, which undermines the existing marketing strategies of brands and creates new opportunities for both existing car manufacturers and new brands. It was determined that the process of promoting brands on the automobile market is connected with the formation of consumer preferences, a change in the perception of the product, its attributes

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42

Huang, Ximin (Natalie), Atalay Atasu, Necati Tereyağoğlu, and L. Beril Toktay. "Lemons, Trade-Ins, and Certified Pre-Owned Programs." Manufacturing & Service Operations Management, January 11, 2023. http://dx.doi.org/10.1287/msom.2022.1176.

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Problem definition: We study the economic rationale for certified pre-owned (CPO) programs and characterize the mechanism through which they influence secondary markets to create value for durable goods firms and consumers. Academic/practical relevance: Our study on understanding the market impact of CPO programs is highly relevant for industry given their prevalence in practice. Our work also contributes to the adverse selection literature in the context of the “lemons problem” by uncovering the mechanism underpinning CPO programs and how they improve market efficiency. Methodology: We use a

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