arbiter
JournalsPricingAccount

Car Brands in Crisis: Meeting the Challenges of Quality, Cost, Time and Innovation

Janek Ratnatunga

Management Accounting Frontiers2025https://doi.org/10.52153/oaj1026223article
ABDC C
Weight
0.50

What the paper says

The ‘Made in China’ crisis for established car brands underscores a pivotal moment in automotive history. As Chinese automakers and global power plays redefine the EV landscape, traditional brands must adapt rapidly to remain relevant. The future of the automotive industry will be shaped by technological innovation, strategic collaboration, and the ability to respond to ever-changing market dynamics. Ultimately, this competition promises to drive forward the electrification of transportation, benefiting consumers and the environment alike. As the world moves towards a more sustainable future, both established and emerging players in the automotive industry will need to focus on innovation and strategic foresight to thrive. The transition from traditional internal combustion engine vehicles to electric vehicles represents not just a technological shift but a fundamental change in how companies approach design, manufacturing, and consumer engagement.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.52153/oaj1026223

Or copy a formatted citation

@article{janek2025,
  title        = {{Car Brands in Crisis: Meeting the Challenges of Quality, Cost, Time and Innovation}},
  author       = {Janek Ratnatunga},
  journal      = {Management Accounting Frontiers},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.52153/oaj1026223},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Car Brands in Crisis: Meeting the Challenges of Quality, Cost, Time and Innovation

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.