Business Strategy Analysis for Green Start Up Through Quantitative Strategic Planning Matrix

The increasing demand for eco-friendly transportation options has spurred the rise of companies like Amerta Bali Lestari (ABL) in Bali, Indonesia, which are embracing sustainable business practices. ABL, a locally-owned startup, offers electric motorcycle rentals with a convenient battery-swapping system. However, to grow and navigate the industry effectively, ABL must reevaluate its business strategy. This study applies strategic management tools to analyze ABL’s current standing by examining both external and internal factors, then quantifying these insights to develop a viable growth strategy. ABL’s core strengths lie in its dependable and environmentally friendly transport services, supported by established partnerships. Nonetheless, the study reveals challenges such as limited technological innovation and reliance on external suppliers. Based on these findings, strategic recommendations for ABL include closely monitoring market trends and technological advancements to remain competitive, expanding its reach throughout Bali, leveraging partnerships, and integrating horizontally with other motorcycle rental services. Additionally, investing in advanced IT infrastructure can improve operational efficiency and facilitate direct customer engagement, broadening ABL’s customer base. The study highlights the importance of green businesses and strategic partnerships in achieving sustainable growth within the renewable energy sector. By implementing these recommendations, ABL is well-positioned to become a significant contributor to Bali’s green transportation sector, promoting sustainable solutions.

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Publication Details

Journal
European Journal of Business Management and Research
Published
2025-04-08
DOI
https://doi.org/10.24018/ejbmr.2025.10.2.2580
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Business Strategy Analysis for Green Start Up Through Quantitative Strategic Planning Matrix

Ida Bagus Dwija Bhaskara
European Journal of Business Management and Research
Innovation Diffusion and Forecasting
article

Business Strategy Analysis for Green Start Up Through Quantitative Strategic Planning Matrix

Ida Bagus Dwija Bhaskara
article en

Abstract

The increasing demand for eco-friendly transportation options has spurred the rise of companies like Amerta Bali Lestari (ABL) in Bali, Indonesia, which are embracing sustainable business practices. ABL, a locally-owned startup, offers electric motorcycle rentals with a convenient battery-swapping system. However, to grow and navigate the industry effectively, ABL must reevaluate its business strategy. This study applies strategic management tools to analyze ABL’s current standing by examining both external and internal factors, then quantifying these insights to develop a viable growth strategy. ABL’s core strengths lie in its dependable and environmentally friendly transport services, supported by established partnerships. Nonetheless, the study reveals challenges such as limited technological innovation and reliance on external suppliers. Based on these findings, strategic recommendations for ABL include closely monitoring market trends and technological advancements to remain competitive, expanding its reach throughout Bali, leveraging partnerships, and integrating horizontally with other motorcycle rental services. Additionally, investing in advanced IT infrastructure can improve operational efficiency and facilitate direct customer engagement, broadening ABL’s customer base. The study highlights the importance of green businesses and strategic partnerships in achieving sustainable growth within the renewable energy sector. By implementing these recommendations, ABL is well-positioned to become a significant contributor to Bali’s green transportation sector, promoting sustainable solutions.

European Journal of Business Management and ResearchVol. 10(2)
Bandung Institute of Technology (ID)
Openalex Percentile: Top 90%
Innovation Diffusion and Forecasting
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