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1

Zheng, Sijia. "Research on Tesla's Marketing Strategy Based on Consumer Psychology." Advances in Economics, Management and Political Sciences 26, no. 1 (September 13, 2023): 350–55. http://dx.doi.org/10.54254/2754-1169/26/20230595.

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Recently, new energy vehicles have become more and more popular, and the new energy market has received unprecedented popularity. With the world's environmental problems becoming more and more serious, people have also begun to realize that the reduction of carbon emissions is an important thing. As a representative brand of the new energy vehicle industry, Tesla has many places to learn from other brands. The research mainly focuses on the analysis of Teslas marketing strategies in China and international markets and also combines online and offline sales analysis. The method of this paper is literature analysis. This paper summarized Teslas problems as the current situation of the industry, consumer psychology and marketing strategies. In addition, this paper also provided solutions to the existing problems. There are significant problems with car safety, insufficient understanding of consumer psychology, and problems with offline marketing models. Tesla has encountered unprecedented development challenges and opportunities. Tesla should increase communication with customers to raise awareness of the brand. Tesla should also improve the quality of its products to enhance the reputation of its brand.
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Gong, Xiaoyan, Jingke Yang, Zhiyu Shi, and Xinyu Jiang. "How Come Teslas Market Cap is Greater than other Companies?" Advances in Economics, Management and Political Sciences 3, no. 1 (March 21, 2023): 695–702. http://dx.doi.org/10.54254/2754-1169/3/2022863.

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Teslas rapid growth has made it in a dominant position in the entire auto industry, and it has successfully unveiled the start of electric vehicles market and played the leading role ever since the beginning.The prevalence and success of electric vehicles have caught the attention of conventional automakers who used to place their focus on producing petrol cars,trying to replicate the Teslas success in producing all electric vehicles.with no doubt,Tesla is sure to have the absolute advantage over the entire auto industry,which is generally reflected by its huge market cap compaired to others.In this study, the main focus is the analysis on the reason why Teslas market cap is greater than its competitors ,including introduction about Tesla itself and its CEO Elon Musks early lifetime and entrepreneurial history , as well as the the efforts Tesla made in developing the most advanced battery technology. The paper will also illustrate the comparison with four competitive automakers Ford, Volkswagen, Toyota and Niousing different valuation metrics such as price earnings ratio, price book ratio and stock price.
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Liu, Hang, and Zhirou Li. "Analysis and Recommendation of Teslas Marketing Strategy." Advances in Economics, Management and Political Sciences 25, no. 1 (September 13, 2023): 187–93. http://dx.doi.org/10.54254/2754-1169/25/20230496.

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As the increase in the global urgency of climate change, countries are devoting their resources in supporting the transformation to renewable energy. As a result, Electric Vehicle market become the hottest topic currently. Despise being the biggest company in leading the EV market, Tesla Incorporation now is facing a decline of its dominance as more and more other affordable vehicles come out to the market. This paper critically analyzed Teslas current marketing strategy and consumer psychology in the aspect of emotion and cognition and attitudes and persuasion to uncover the way that customers think. The author found out that Teslas current zero dollar marketing strategy is limited and needs further promotion. Therefore, Tesla has to improve its current strategies to accommodate the frequent-changing EV market. The paper recommends new strategies for Tesla to attract potential customers and maintain existing consumers based on the theory of Maslow's Hierarchy of Needs, the Self-Determination Theory, Cialdini's principles of persuasion and the elaboration likelihood model.
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Yuan, Ziwu. "A Surging Company Against the Odds of Adversity in New Normal: The Case Analysis of Tesla." Advances in Economics, Management and Political Sciences 9, no. 1 (September 13, 2023): 65–70. http://dx.doi.org/10.54254/2754-1169/9/20230349.

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As one of the most ambitious and innovative companies in the automobile manufacturing industry across the world, Tesla visions itself with the mission to change and redefine the industry landscape of future mobility empowered by innovation and new transportation technologies. This research is conducted to examine how Tesla manages to surge against the odds of all the adversity manifested in the new normal through the lens of financial analysis of Teslas annual reports. In light of the key concepts and financial performance and accounting data presented in the company report, the financial situation and growth of Tesla, specifically regarding its strengths and weaknesses, are analyzed. Besides, possible suggestions on risk control and financial viability, in the long run, are provided. Furthermore, the financial performance of Tesla analyzed from the key metrics are linked to the macroeconomic environment presented in the new normal, so as to consider the impacts on the companys revenues and the validity of the companys stock price performance for investment selection.
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Mack, Andreas, Robert Wolff, Stefan Scheib, Marcus Rieker, Dirk Weltz, G. Mack, Hans-Jürg Kreiner, et al. "Analyzing 3-tesla magnetic resonance imaging units for implementation in radiosurgery." Journal of Neurosurgery 102, Special_Supplement (January 2005): 158–64. http://dx.doi.org/10.3171/sup.2005.102.s_supplement.0158.

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Object. The limiting factor affecting accuracy during gamma knife surgery is image quality. The new generation of magnetic resonance (MR) imaging units with field strength up to 3 teslas promise superior image quality for anatomical resolution and contrast. There are, however, questions about chemical shifts or susceptibility effects, which are the subject of this paper. Methods. The 3-tesla MR imaging unit (Siemens Trio) was analyzed and compared with a 1-tesla unit (Siemens Magnetom Expert) and to a 1.5-tesla unit (Philips Gyroscan). Evaluation of the magnitude of error was performed within transverse slices in two orientations (axial/coronal) by using a cylindrical phantom with an embedded grid. Deviations were determined for 21 targets in a slab phantom with known geometrical positions within the stereotactic frame. Distortions caused by chemical shift and/or susceptibility effects were analyzed in a head phantom. Inhouse software was used for data analyses. The mean deviation was less than 0.3 mm in axial and less than 0.4 mm in coronal orientations. For the known targets the maximum deviation was 1.16 mm. By optimizing these parameters in the protocol these inaccuracies could be reduced to less than 1.1 mm. Due to inhomogeneities a shift in the z direction of up to 1.5 mm was observed for a dataset, which was shown to be compressed by 1.2 mm. Conclusions. The 3-tesla imaging unit showed superior anatomical contrast and resolution in comparison with the established 1-tesla and 1.5-tesla units; however, due to the high field strength the field within the head coil is very sensitive to inhomogeneities and therefore 3-tesla imaging data will have be handled with care.
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Mack, Andreas, Robert Wolff, Stefan Scheib, Marcus Rieker, Dirk Weltz, G. Mack, Hans-Jürg Kreiner, et al. "Analyzing 3-tesla magnetic resonance imaging units for implementation in radiosurgery." Journal of Neurosurgery 102 (January 2005): 158–64. http://dx.doi.org/10.3171/jns.2005.102.s_supplement.0158.

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Object.The limiting factor affecting accuracy during gamma knife surgery is image quality. The new generation of magnetic resonance (MR) imaging units with field strength up to 3 teslas promise superior image quality for anatomical resolution and contrast. There are, however, questions about chemical shifts or susceptibility effects, which are the subject of this paper.Methods.The 3-tesla MR imaging unit (Siemens Trio) was analyzed and compared with a 1-tesla unit (Siemens Magnetom Expert) and to a 1.5-tesla unit (Philips Gyroscan). Evaluation of the magnitude of error was performed within transverse slices in two orientations (axial/coronal) by using a cylindrical phantom with an embedded grid. Deviations were determined for 21 targets in a slab phantom with known geometrical positions within the stereotactic frame. Distortions caused by chemical shift and/or susceptibility effects were analyzed in a head phantom. Inhouse software was used for data analyses.The mean deviation was less than 0.3 mm in axial and less than 0.4 mm in coronal orientations. For the known targets the maximum deviation was 1.16 mm. By optimizing these parameters in the protocol these inaccuracies could be reduced to less than 1.1 mm. Due to inhomogeneities a shift in the z direction of up to 1.5 mm was observed for a dataset, which was shown to be compressed by 1.2 mm.Conclusions.The 3-tesla imaging unit showed superior anatomical contrast and resolution in comparison with the established 1-tesla and 1.5-tesla units; however, due to the high field strength the field within the head coil is very sensitive to inhomogeneities and therefore 3-tesla imaging data will have be handled with care.
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7

Li, Yizhen. "Analysis of Tesla's Marketing Strategy Model." Advances in Economics, Management and Political Sciences 54, no. 1 (December 1, 2023): 33–39. http://dx.doi.org/10.54254/2754-1169/54/20230873.

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A prominent American electric vehicle and renewable energy company, with a history of leadership and innovation in the automotive sector, Tesla has consistently pioneered advancements. This study explores Teslas synchronization of online and offline marketing tactics, and probes how Teslas dual marketing approaches, online and offline, complement each other through employing a case study method, which encompasses distinct brand positioning, emphasis on digital and regional strategies, active social media integration, seamless online-offline interplay, and varied advertising methods such as word-of-mouth and pricing techniques. Teslas robust collaborations within the supply chain further fortify its competitive standing. The findings sustain Teslas market leadership and hold broader implications. They contribute to heightened market competitiveness, shed light on marketing models for emerging markets, reveal the potential of digital marketing, and even inspire the transformation of traditional automotive business practices. Today, Tesla cars already occupy a very high market share. Compete in the market through several different strategic approaches. Now people need to study what kind of model and supply chain can make this brand popular and successfully pay for it.
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8

Brinkmann, Reinhard, Peter Schmüser, and Björn H. Wiik. "TESLA." Physik in unserer Zeit 30, no. 2 (1999): 62–68. http://dx.doi.org/10.1002/piuz.19990300204.

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9

Virgil Petrescu, Relly Victoria, Raffaella Aversa, Antonio Apicella, Taher Abu-Lebdeh, and Florian Ion Tiberiu Petrescu. "Nikola TESLA." American Journal of Engineering and Applied Sciences 10, no. 4 (April 1, 2017): 868–77. http://dx.doi.org/10.3844/ajeassp.2017.868.877.

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10

Medaković, Dejan, and Aleksandar Despić. "Nikola Tesla." IEE Review 37, no. 4 (1991): 144. http://dx.doi.org/10.1049/ir:19910064.

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11

KOVACH, Y. "Nikola Tesla." Nature 355, no. 6358 (January 1992): 292. http://dx.doi.org/10.1038/355292d0.

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12

Hecht, Jeff. "Operation Tesla." Nature 443, no. 7111 (October 2006): 604. http://dx.doi.org/10.1038/443604a.

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13

Gooday, Graeme. "Demystifying Tesla." Metascience 23, no. 3 (March 25, 2014): 649–52. http://dx.doi.org/10.1007/s11016-014-9900-0.

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14

Kellerhoff, Peter. "Tesla-Jäger." VDI nachrichten 76, no. 22 (2022): 40. http://dx.doi.org/10.51202/0042-1758-2022-22-40-4.

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15

Huang, Benjamin Y., and Mauricio Castillo. "Neurovascular Imaging at 1.5 Tesla Versus 3.0 Tesla." Magnetic Resonance Imaging Clinics of North America 17, no. 1 (February 2009): 29–46. http://dx.doi.org/10.1016/j.mric.2008.12.005.

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16

Li, Minzhe. "Analyze the Underlying Problems of Tesla Electric Cars and Other Similar Electric Cars." Advances in Economics, Management and Political Sciences 31, no. 1 (November 10, 2023): 200–205. http://dx.doi.org/10.54254/2754-1169/31/20231542.

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Tesla, as a globally competitive E-auto manufacturer and enterprise, has established its businesses all over the globe. This study would be disclosing problems and issues now faced by Teslas products, and products of the entire market of electric cars: slow charging speed, emerging competitors, and low performance of batteries under cold environments. This area of the study is important due to the fact that the sector of electric automobiles is a novel and promising market compared with traditional car manufacturing, this study could enlighten other electric car producers to adjust their products. The study uses researching and analyzing devices such as 4P, Cubic smoothing index, and SMLR. Three problems concluded by this study could be addressed via, first the slow charging speed: the method of circulating high-temperature gas heating. Secondly, to outcompete other brands, Tesla should make their product more price-appealing, and more affordable to more consumers. Thirdly, in order to operate ideally under cold environments, the internal heating method could be used. Nonetheless, due to limitations ground tests could not be done on actual Tesla Models, therefore more research should be done in the future to find out the best way to the situation.
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17

Wang, Juntao. "A Case Study of TESLA." BCP Business & Management 38 (March 2, 2023): 1800–1805. http://dx.doi.org/10.54691/bcpbm.v38i.3969.

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We hope to observe this company (TESLA) from all angles. In this article, I quoted elements such as the PESTEL model, ESG concept and so on to evaluate Tesla. I hope that readers can have a general understanding of Tesla's development after reading. I will also analyze the development route of Tesla through some data, and have a part of the wait and see of the future route. In addition, I also analyzed the performance of Tesla stock market, hoping to provide some suggestions to those who plan to buy Tesla stock, so that they can choose to buy Tesla stock at a more reasonable time. In addition, some conditions of Tesla company are integrated to predict the performance of Tesla in the US stock market. In the third part, I evaluated and analyzed some risks of Tesla, which can help people understand some risks that the company will face when investing in Tesla and make them think more about the feasibility of investment.
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18

Vucevic, Danijela, Drago Djordjevic, and Tatjana Radosavljevic. "Nikola Tesla and medicine: 160th anniversary of the birth of the genius who gave light to the world - part II." Medical review 69, no. 11-12 (2016): 391–401. http://dx.doi.org/10.2298/mpns1612391v.

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Introduction. Nikola Tesla (1856 - 1943) was a genius inventor and scientist, whose contribution to medicine is remarkable. Part I of this article reviewed special contributions of the world renowned scientist to the establishment of radiology as a new discipline in medicine. This paper deals with the use of Tesla currents in medicine. Tesla Currents in Medicine. Tesla?s greatest impact on medicine is his invention of a transformer (Tesla coil) for producing high frequency and high voltage currents (Tesla currents). Tesla currents are used in diathermy, as they, while passing through the body, transform electrical energy into a therapeutic heat. In 1891, Tesla passed currents through his own body and was the first to experience their beneficial effects. He kept correspondence on electrotherapy with J. Dugan and S. H. Monell. In 1896, he used high frequency currents and designed an ozone generator for producing ozone, with powerful antiseptic and antibacterial properties. Tesla is famous for his extensive experiments with mechanical vibrations and resonance, examining their effects on the organism and pioneering their use for medical purposes. Tesla also designed an oscillator to relieve fatigue of the leg muscles. It is less known that Tesla?s inventions (Tesla coil and wireless remote control) are widely used in modern medical equipment. Apart from this, wireless technology is nowadays widely applied in numerous diagnostic and therapeutic procedures. Conclusion. Nikola Tesla was the last Renaissance figure of the modern era. Tesla bridged three centuries and two millennia by his inventions, and permanently indebted human-kind by his epochal discoveries.
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Hidayatullah, Deri, Herman Halomoan, and Henry Binsar. "DESAIN PEMBANGKITAN TEGANGAN TINGGI FREKUENSI TINGGI MENGGUNAKAN KUMPARAN TESLA." Transmisi 20, no. 4 (January 29, 2019): 167. http://dx.doi.org/10.14710/transmisi.20.4.167-173.

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Tegangan tinggi frekuensi tinggi dapat dihasilkan menggunakan kumparan tesla atau disebut trafo tesla. Prinsip kerja dari trafo tesla adalah dengan memanfaatkan peristiwa resonansi L dan C. Pada penelitian ini trafo tesla dirancang menggunakan input tegangan 7,5 KV, mode rotary spark gap, dengan induktansi Kumparan sekunder sebesar 23,88 mH dan kapasitansi sekunder sebesar 15,48 pF, menghasilkan frekuensi resonansi sekunder adalah 261,87 Khz. Penelitian ini membandingkan antara trafo tesla tipe pertama yang menggunakan kumparan primer berbentuk flat spiral, induktansi sebesar 25,66 𝝁𝑯, kapasitansi primer 15 nF serta frekuensi resonansi primer adalah 261 Khz. Trafo tesla tipe kedua yang menggunakan kumparan primer helical, induktansi sebesar 19,34 𝝁𝑯, kapasitansi primer 20 nF serta frekuensi resonansi primer sebesar 262 Khz. Berdasarkan penelitian ini didapat bahwa output trafo tesla terbesar didapatkan saat menggunakan tipe kedua. Loncatan listrik yang dihasilkan oleh tipe ini sejauh 18,34 cm. Sedangkan untuk trafo tesla yang memakai tipe pertama, didapat output loncatan listrik trafo tesla sejauh 13,23 cm. Hal ini terjadi dikarenakan telah tercapainya kondisi match (setara) pada trafo tesla (Fp ≈ Fs) sehingga menghasilkan output yang teroptimalkan.
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20

Wang, Yixiang. "Development Status and Suggestions of Tesla." Highlights in Business, Economics and Management 1 (November 28, 2022): 146–48. http://dx.doi.org/10.54097/hbem.v1i.2526.

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As a famous automobile company, Tesla has a good development trend. In-depth analysis of Tesla is conducive to a more scientific understanding of the development of the automobile industry. This paper discusses the development status and advantages of Tesla and recognizes that Tesla has a good development prospect. At the same time, I found that Tesla stock has a good development trend and is worth investing in. This paper provides some enlightenment for the sustainable development of Tesla.
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21

Yu, Hanxu. "Analysis on Electric Vehicle Industrys Business Strategies -- Taking Tesla as an Example." Advances in Economics, Management and Political Sciences 54, no. 1 (December 1, 2023): 135–39. http://dx.doi.org/10.54254/2754-1169/54/20230911.

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Tesla, a trailblazing firm noted for its innovative business practices, is at the vanguard of the automotive industrys transition brought on by the rise of electric automobiles. The paper analyzes Teslas business strategy in depth and looks at how it has affected the electric vehicle market. The study uses a literature review approach to look into Teslas novel business strategies, market positioning, and eco-friendly projects. This research analyzes academic literature, business reports, and case studies to determine what has contributed to Teslas success and offer practical suggestions for future study. The results highlight the revolutionary effect Teslas strategy has had on the automotive industry and the global advancement of electric vehicles. The paper elucidates the underlying strategic mechanisms that fuel Teslas expansion and market supremacy. Policymakers interested in encouraging sustainable mobility solutions and businesses planning to participate or compete in the electric car market can both learn valuable lessons from the results.
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22

Sonong, Sonong. "Pembangkitan Tegangan Tinggi Bolak Balik Menggunakan Kumparan Tesla." Jurnal Teknik Mesin Sinergi 9, no. 1 (May 23, 2019): 38–53. http://dx.doi.org/10.31963/sinergi.v9i1.1066.

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Kumparan tesla merupakan alat yang mampu menghasilkan tegangan tinggi mulai dari ribuan volt sampai jutaan volt. Tegangan tinggi yang dihasilkan oleh kumparan tesla adalah tegangan tinggi bolak-balik dengan frekuensi berkisar antara puluhan kilohertz sampai dengan orde MHz. Tegangan keluaran kumparan tesla berbentuk pulsa dengan lebar pulsa bervariasi dari nano detik sampai ratusan mikro detik. Pada awal perkembangannya, kumparan tesla menggunakan sela bola untuk membangkitkan pulsa tersebut. Perkembangan selanjutnya kumparan tesla lebih banyak dikembangkan dengan teknologi semikonduktor untuk menggantikan fungsi sela bola. Selain mudah dalam pengaturan lebar pulsa, teknologi semikonduktor juga lebih ringkas dan praktis. Pada makalah ini akan dibahas perancangan kumparan tesla yang menggunakan inverter frekuensi tinggi dengan range frekuensi antara 150–800 KHz. Untuk mengukuran tegangan keluaran kumparan tesla digunakan sela bola standar.Â
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23

Regatte, Ravinder, and Mark Schweitzer. "Novel Contrast Mechanisms at 3 Tesla and 7 Tesla." Seminars in Musculoskeletal Radiology 12, no. 03 (September 2008): 266–80. http://dx.doi.org/10.1055/s-0028-1083109.

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24

Tessier, A. "TM-WS-12 IRM 3 tesla versus 1,5 tesla." Journal de Radiologie 90, no. 10 (October 2009): 1538. http://dx.doi.org/10.1016/s0221-0363(09)76013-5.

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25

Su, Yihao. "Artificial Intelligence: The Significance of Tesla Bot." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1351–55. http://dx.doi.org/10.54097/hset.v39i.6767.

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The rising humanoid robot industry has brought significant interest from the public and treasure seekers who see this industry as the future. Tesla, a leading motor manufacturer and artificial intelligence company, has also joined the competition of humanoid robots by introducing “Optimus.” The service robotics industry, which “Optimus” focuses on, is fast-growing, with approximately 119% growth over the last four years. Compared with its competitors, Tesla has a few advantages. First of all, it has abundant experience in the field as it has accumulated countless data on human behavior through the beta that its Tesla cars have provided over the years. In addition, Tesla has more capital than its competitors. As of September 10th, 2021, Tesla has a market capital of 939 billion dollars. However, Tesla is also known for its overconfidence in its products, as it usually exaggerates the delivery date and the capability of its products. Another obstacle that Tesla faces comes from the industry itself. Admittedly, it is not a mature industry without much experience that Tesla can learn from. As a result, like many of its competitors, Tesla has to develop all of its technologies in-house, leading to the high prices of humanoid robots on the market. However, suppose Tesla is able to develop a complete version of “Optimus” faster and better than its competitors. In that case, it is very likely for Tesla to become the leader in the humanoid robot industry.
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26

Song, Shude. "Analysis of Tesla investment based on Multiple Valuation." BCP Business & Management 26 (September 19, 2022): 1086–92. http://dx.doi.org/10.54691/bcpbm.v26i.2073.

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It is not very accurate to use multiple Valuation method to evaluate the stock of a company with a special structure like Tesla. In this paper, multiple valuation is used to evaluate Tesla, but some improvements are made to the traditional process. According to the cost of revenue structure of Tesla, Tesla is regarded as a combination of a new energy company and an ordinary car company. Then, the two parts are evaluated separately, and then the fair value of Tesla is calculated by adding these two-part after making some adjustments. Finally, it is concluded that the current stock price of Tesla is overvalued, and investors should pay more attention when investing. This may be because people are overoptimistic about innovative companies such as Tesla, leading to part of the bubble.
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Febriani Fajar Wati, Roby Tan, Mashita Ayuni, Melvin Louisly, Melvin Sihombing, and Elza Theofhilia. "Pengaruh Penerapan Manajemen Rantai Pasok dan Sistem Erp pada Perusahaan Tesla Inc." Serat Acitya 11, no. 2 (October 22, 2022): 29–39. http://dx.doi.org/10.56444/sa.v11i2.739.

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The United States is home to Tesla Inc., a manufacturer of auto parts. For efficient operation, Tesla Inc. must implement a supply chain management plan. In this section, we will assess the use of enterprise resource planning (ERP) in supply chain management at Tesla Inc. Tesla Inc. supply chain management based on a vertical supply chain integration strategy. Likewise, Tesla Inc. uses a self-designed enterprise resource planning (ERP) system called WARP to interconnect enterprise processes
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Hu, Peilu, Pengfei Wang, Li Liu, Xiaodong Ruan, Lingjie Zhang, and Zhongbin Xu. "Numerical investigation of Tesla valves with a variable angle." Physics of Fluids 34, no. 3 (March 2022): 033603. http://dx.doi.org/10.1063/5.0084194.

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A Tesla valve is a passive check valve but with no-moving parts. The unique diode nature of Tesla valves makes them attractive for fluid control in many engineering fields, such as microfluidic systems and hydrogen fuel systems. The effectiveness of a single-stage Tesla valve can be modified by changing its geometric parameters. In this study, four groups of Tesla valves by changing the angle between 45° and 90° are examined. Numerical and mathematical methods are used to compare the diode characteristics of the four groups of Tesla valves, and proper orthogonal decomposition is applied to analyze the main flow fields. Of particular interest is that the diode property is induced by separation bubbles, with those near the left junction of the Tesla valve providing the main control mechanism for the fluid flow. For the forward flow, the main bubble pushes the fluid into the straight channel, while for the reverse flow, the main bubble blocks the outlet of the Tesla valve, making it difficult for fluid to flow out. Notably, our findings suggest that the diode performance of Tesla valves is optimal at θ = 70–80°. The results presented in this paper identify the functional relationship between the angle of the Tesla valve, Reynolds number, and diodicity, and suggest strategies for the optimal design and performance predictions of Tesla valves.
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Vucevic, Danijela, Drago Djordjevic, and Tatjana Radosavljevic. "Nikola Tesla and medicine: 160th anniversary of the birth of the genius who gave light to the world - part I." Medical review 69, no. 9-10 (2016): 313–22. http://dx.doi.org/10.2298/mpns1610313v.

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Introduction. The interest in Nikola Tesla, a scientist, physicist, engineer and inventor, is constantly growing. In the millennia-long history of human civilization, it is almost impossible to find another person whose life and work has been under so much scrutiny of such a wide range of researchers, medical professionals included. Although Tesla was not primarily dedicated to biomedical research, his work significantly contributed to the development of radiology, and high frequency electrotherapy. This paper deals with the impact of Tesla?s work on the development of a new medical branch - radiology. Nikola Tesla and the Discovery of X-ray radiation. Tesla pioneered the use of X-rays for medical purposes, practically laying the foundations of radiology. Namely, since 1887, Tesla periodically experimented with X-rays, at that time still unknown and unnamed, which he called "shadowgraphs". Moreover, at the end of 1894, he conducted extensive research focusing on X-rays, but unfortunately it was interrupted after the fire burning down his laboratory in 1895. In 1896 and 1897, Tesla published ten papers on the biologic effects of X-ray radiation. All his studies on X-rays were experimental. During 1896 and 1897, Tesla continued improving X-ray devices. Apart from this, Tesla was the first to point out the harmful effects of exposure to X-ray radiation on human body. Conclusion. Nikola Tesla was a visionary genius of the future. Tesla?s pioneer steps, made more than a century ago in the domain of radiology, are still being used today.
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Geng, Ziyu. "Tesla stock prediction and analysis based on LSTM model." Theoretical and Natural Science 26, no. 1 (December 20, 2023): 68–73. http://dx.doi.org/10.54254/2753-8818/26/20241020.

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Now that new energy vehicles are developing well, Teslas stock forecast has research value. This report focuses on predicting and analysing Tesla stock price returns using Long Short-Term Memory (LSTM) models. Deep learning models like LSTM can handle large amounts of data and make predictions about future stock dynamics. In this research, historical stock prices of Tesla Inc. are utilized as input data. The LSTM model is used to train and test the data, and subsequently provides results on its accuracy. For comparison, both Linear Regression and Random Forest models have also been used. The results indicate that the LSTM model has better performance than the other models in predicting short-term stock price movements. The result is evaluated by MSE, MAE and RMSE. However, Stock prices are extremely susceptible to economic, market, and political factors, so the predictions of the LSTM model cannot play an important role in actual investment.
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Солошенко, О. Ю. "TESLA - электромобиль будущего." Вісник студентського наукового товариства, Вип. № 1 (2015): 29–31.

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32

Law, Meng. "7 Tesla MRI." Magnetic Resonance Imaging Clinics of North America 29, no. 1 (February 2021): i. http://dx.doi.org/10.1016/s1064-9689(20)30082-9.

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Pierot, Laurent, Frédéric Ricolfi, and Stéphane Lehéricy. "IRM 3 Tesla." Journal de Radiologie 90, no. 10 (October 2009): 1378. http://dx.doi.org/10.1016/s0221-0363(09)75435-6.

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Schöttle, Markus. "Tesla fights back." ATZelektronik 11, no. 6 (December 2016): 3. http://dx.doi.org/10.1007/s35658-016-0106-7.

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SCHREIBER, S. "THE TESLA DETECTOR." International Journal of Modern Physics A 13, no. 14 (June 10, 1998): 2455–66. http://dx.doi.org/10.1142/s0217751x98001244.

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The joint ECFA/DESY Study "Physics and Detectors for a Linear Collider" has worked out a proposal for a detector for a next generation TeV e+e- linear collider. In this report, the principle design and layout of the proposed detector with emphasis on the TESLA version is reviewed. Examples of reference reactions studied to demonstrate the detector performance are given.
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Schöttle, Markus. "Tesla Fights Back." ATZelektronik worldwide 11, no. 6 (December 2016): 3. http://dx.doi.org/10.1007/s38314-016-0087-6.

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Jones, H. "Beyond 45 Tesla." Europhysics News 22, no. 8 (1991): 154–55. http://dx.doi.org/10.1051/epn/19912208154.

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Galneder, Bernd, and Jan Wißling. "Der aufgeopferte Tesla." JURA - Juristische Ausbildung 40, no. 7 (July 1, 2018): 727–33. http://dx.doi.org/10.1515/jura-2018-0148.

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Denga, Michael. "Der getunte Tesla." JURA - Juristische Ausbildung 42, no. 12 (November 3, 2020): 1352–59. http://dx.doi.org/10.1515/jura-2019-2399.

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Weigele, John B. "7.0 Tesla MRI." Academic Radiology 17, no. 4 (April 2010): 407–9. http://dx.doi.org/10.1016/j.acra.2009.12.007.

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Dudenhöffer, Ferdinand. "Nikola versus Tesla." Wirtschaftsdienst 100, no. 8 (August 2020): 567. http://dx.doi.org/10.1007/s10273-020-2709-0.

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Hentschel, Dietmar, and Jürgen Vetter. "4 Tesla — Ganzkörpermagnet." Physik in unserer Zeit 19, no. 6 (1988): 172–76. http://dx.doi.org/10.1002/piuz.19880190602.

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Бобкова, Е. А., and М. М. Наумов. "SWOT-АНАЛИЗ «Tesla»." ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 100, no. 2 (2023): 30–33. http://dx.doi.org/10.18411/trnio-08-2023-64.

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В статье проводится исследование сильных и слабых сторон, возможностей и угроз компании Tesla. Компании, которая была основана Мартином Эберхардом и Марком Тарпеннингом в 2003 году в Силиконовой долине.
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Nimsky, Christopher, Oliver Ganslandt, and Rudolf Fahlbusch. "Comparing 0.2 Tesla With 1.5 Tesla Intraoperative Magnetic Resonance Imaging." Academic Radiology 12, no. 9 (September 2005): 1065–79. http://dx.doi.org/10.1016/j.acra.2005.05.020.

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Smith, Andrew C., Todd B. Parrish, Rebecca Abbott, Mark A. Hoggarth, Karl Mendoza, Yu Fen Chen, and James M. Elliott. "Muscle-fat MRI: 1.5 tesla and 3.0 tesla versus histology." Muscle & Nerve 50, no. 2 (July 14, 2014): 170–76. http://dx.doi.org/10.1002/mus.24255.

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Chen, Jiakai. "Research on the valuation of Tesla stock." BCP Business & Management 19 (May 31, 2022): 308–15. http://dx.doi.org/10.54691/bcpbm.v19i.819.

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Tesla Inc. is the largest electric car company in the U.S. and the world's first maker of self-driving cars. Tesla's products are now the world's best-selling electric cars. The company's market capitalization also surpassed $1 trillion in October 2021. Many investors now consider Tesla to be a promising investment choice. This paper analyzes the current situation of Tesla from various perspectives and provide suggestion on investment related to Tesla.
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Ma, Cindy. "A Study on Sustainable Energy from the Energy Crisis." BCP Business & Management 38 (March 2, 2023): 3275–78. http://dx.doi.org/10.54691/bcpbm.v38i.4281.

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This text explores the effect of Tesla on sustainable energy and how the company lead a green revolution in the automobile industry. With the Russia- Ukraine war, European countries are facing an energy shortage. Moreover, more and more Europeans are expecting a ‘colder’ winter this year due to soaring prices of gasoline. Electric vehicles, which produces fewer greenhouse emissions and air pollutants, became an considerable option for many under the influence of Tesla—and sales of Tesla vehicles also demonstrated this. For the past four years, Tesla revenue has increased by 120%, and the average wait time for the Model X ranges to over a year. We perform a company analysis of the Tesla’s financial statements and draw a conclusion on whether Tesla is a good company, a good investment, or both by looking at its revenue growth, current ratio, profit margin, and price to earning ratio. Through trend analysis, Tesla showed strong strength in an increasing trend. With cross-sectional analysis across the automobile industry, we suggest investors to hold before they purchase a Tesla share.
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Chen, Runze, and Hankai Mao. "The Impact of Autopilot on Tesla." BCP Business & Management 31 (November 5, 2022): 89–95. http://dx.doi.org/10.54691/bcpbm.v31i.2540.

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As Tesla advances in technology, Tesla is expeditiously embarking on exploring an emerging field, driverless technology. Due to the current instability of driverless technology, driverless systems are not commonly used at the moment. Nevertheless, its impact on Tesla can not be neglected. Therefore, this study focuses on the impact of the emergence of autonomous driving on Tesla. Specifically, this paper explores the impact brought about by autonomous driving by collecting statistical data, gathering real-life cases, and analyzing the information. However, the research illustrates that Tesla’s Autopilot is a double-edged sword. It damages the reputation of Tesla while offering the huge potential for gaining tremendous revenue in the present and future. In the long run, the scales are tipped in favor of autonomous driving technology. Thus, persisting in exploring the field of driverless technology will speed up the promotion of Tesla.
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Li, Peilin. "Electric High-tech Car and Environment Sustainable: Analysis of Tesla’s problems." BCP Business & Management 35 (December 31, 2022): 401–4. http://dx.doi.org/10.54691/bcpbm.v35i.3325.

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New energy vehicles and environmental issues have become hot topics with the changing times. Ecological protection and renewable new energy are more and more concern by people all over the world. Tesla has had issues with battery technology so far, and Tesla CEO Elon Musk said in an interview that Tesla’s battery issues could be resolved within 40 years. In the future, Tesla can mine fewer resources on Earth.COVID-19 has swept the globe, causing economic setbacks around the world. Tesla Inc. has also been impacted by covid-19, curtailing employees and company operations to varying degrees. Covid-19 will also affect Tesla’s problems in logistics and distribution. Tesla can build a talent voyage program to cultivate talents and reduce the labor shortage problem. For logistics and distribution, Tesla can choose to expand factories around the world.
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Hu, Jin, and Jian Gang Yi. "3-Dimensional Numerical Simulation of Tesla Disc Turbines for Industrial Dust Blower." Applied Mechanics and Materials 701-702 (December 2014): 637–40. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.637.

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Tesla disc turbine has many advantages compared with the traditional blade turbine, but there are few researches on fault diagnosis of Tesla disc turbines for industrial dust blower. In this paper, 3-dimensional model Tesla turbine is established by using CFD software FLUENT to analyze the inner flow field in the given pressure and boundary conditions. The experiments provide a good foundation for the theoretical research and the application of fault diagnosis of the Tesla disc turbines for industrial dust blower.
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