Market entry strategies for electric vehicle start-ups in the automotive industry – Lessons from Tesla Motors

Thomas, V. J.; Maine, Elicia

doi:10.1016/j.jclepro.2019.06.284

“…These overlaps mostly points towards competitors of tesla such as renault, bmw, daimier, volvo and vw(volkswagen). Looking at the sentiments, we can infer that tesla might be one of the most positively viewed vehicle in electric vehicle domain [66]. Furthermore, the occurance of topics such as stocks and stockmarket indicate that people that talk about tesla or electric vehicles might also be related to investment community.…”

Section: Discussionmentioning

confidence: 99%

Making Sense of Tweets Using Sentiment Analysis on Closely Related Topics

Bhatnagar

¹

,

Choubey

²

2021

Preprint

1

0

View full text Add to dashboard Cite

Microblogging has taken a considerable upturn in recent years, with the growth of microblogging websites like Twitter people have started to share more of their opinions about various pressing issues on such online social networks. A broader understanding of the domain in question is required to make an informed decision. With this motivation, our study focuses on finding overall sentiments of related topics with reference to a given topic. We propose an architecture that combines sentiment analysis and community detection to get an overall sentiment of related topics. We apply that model on the following topics: shopping, politics, covid19 and electric vehicles to understand emerging trends, issues and its possible marketing, business and political implications.

show abstract

“…These overlaps mostly points toward competitors of tesla such as renault, bmw, daimier, volvo and vw(volkswagen). Looking at the sentiments, we can infer that tesla might be one of the most positively viewed vehicle in electric vehicle domain (Thomas and Maine 2019 ). Furthermore, the occurrence of topics such as stocks and stockmarket indicates that people that talk about tesla or electric vehicles might also be related to investment community.…”

Section: Discussionmentioning

confidence: 99%

Making sense of tweets using sentiment analysis on closely related topics

Bhatnagar

¹

,

Choubey

²

2021

Soc. Netw. Anal. Min.

View full text Add to dashboard Cite

Microblogging has taken a considerable upturn in recent years, with the growth of microblogging websites like Twitter people have started to share more of their opinions about various pressing issues on such online social networks. A broader understanding of the domain in question is required to make an informed decision. With this motivation, our study focuses on finding overall sentiments of related topics with reference to a given topic. We propose an architecture that combines sentiment analysis and community detection to get an overall sentiment of related topics. We apply that model on the following topics: shopping, politics, covid19 and electric vehicles to understand emerging trends, issues and its possible marketing, business and political implications.

show abstract

“…Tesla's operations strategy [38] has several differences from past mega-projects attempting to electrify transportation [39]. The innovator's dilemma is whether to concentrate on being an electric car manufacturer or to diversify their portfolio with mix of combustion cars [40].…”

Section: An Assessment Of Tesla's Operations Strategymentioning

confidence: 99%

Vertically Integrated Supply Chain of Batteries, Electric Vehicles, and Charging Infrastructure: A Review of Three Milestone Projects from Theory of Constraints Perspective

Naor

¹

,

Coman

²

,

Wiznizer

³

2021

View full text Add to dashboard Cite

This research utilizes case study methodology based on longitudinal interviews over a decade coupled with secondary data sources to juxtapose Tesla with two high-profile past mega-projects in the electric transportation industry, EV-1 and Better Place. The theory of constraints serves as a lens to identify production and market bottlenecks for the dissemination of electric vehicles. The valuable lessons learned from EV1 failure and Better Place bankruptcy paved the way for Tesla’s operations strategy to build gigafactories which bears a resemblance to Ford T mass production last century. Specifically, EV1 relied on external suppliers to develop batteries, while Better Place was dependent on a single manufacturer to build cars uniquely compatible with its charging infrastructure, whereas Tesla established a closed-loop, green, vertically integrated supply chain consisting of batteries, electric cars and charging infrastructure to meet its customers evolving needs. The analysis unveils several limitations of the Tesla business model which can impede its worldwide expansion, such as utility grid overload and a shortage of raw material, which Tesla strives to address by innovating advanced batteries and further extending its vertically integrated supply chain to the mining industry. The study concludes by sketching fruitful possible avenues for future research.

show abstract

Market entry strategies for electric vehicle start-ups in the automotive industry – Lessons from Tesla Motors

Cited by 70 publications

References 35 publications

Making Sense of Tweets Using Sentiment Analysis on Closely Related Topics

Making Sense of Tweets Using Sentiment Analysis on Closely Related Topics

Making sense of tweets using sentiment analysis on closely related topics

Vertically Integrated Supply Chain of Batteries, Electric Vehicles, and Charging Infrastructure: A Review of Three Milestone Projects from Theory of Constraints Perspective

Contact Info

Product

Resources

About