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Journals / The Eurasia Proceedings of Science Technology Engineering and Mathematics / 2026 / Volume: 23

SaaS Model Assessment- A DEA Approach

Thi Minh Nhut Vo(National Kaohsiung University of Science and Technology)
Chia-nan Wang(National Kaohsiung University of Science and Technology)
Fu-chiang Yang(National Kaohsiung University of Science and Technology)
Van Thanh Tien Nguyen(Industrial University of Ho Chi Minh City)
Pages
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Publication Date
2023-09-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Individuals interested in this field can leverage this methodology to evaluate the success of leading SaaS companies.

📌 3 Key Takeaways

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Objective & Hypothesis:The Software as a Service (SaaS) industry is expected to experience growth in the coming years for these reasons.
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Key Findings & Data:In a study comparing the 11 SaaS providers using DEA SBM analysis Aspen Technology Inc, HubSpot Inc, Rapid 7 Inc, and Ring Central emerged as the most efficient company.
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Conclusion & Impact:Individuals interested in this field can leverage this methodology to evaluate the success of leading SaaS companies.
🔬Design:Conference Paper
📍Scope:Comprehensive Sample
⚙️Variables:SaaS model Assessment · Software as a Service industry · A DEA Approach

Abstract

The Software as a Service (SaaS) industry is expected to experience growth in the coming years for these reasons. These include the rising demand for affordable and adaptable software solutions, the popularity of cloud computing, and the increasing trend of work. In a study comparing the 11 SaaS providers using DEA SBM analysis Aspen Technology Inc, HubSpot Inc, Rapid 7 Inc, and Ring Central emerged as the most efficient company. These research findings offer a framework to assess the efficiency of leading SaaS providers. By adopting this approach, businesses across sectors can gain insights into market trends, identify opportunities that drive digital transformation efforts, and foster creativity. Individuals interested in this field can leverage this methodology to evaluate the success of leading SaaS companies.

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Cite This Article

Vo, T. M. N., Wang, C., Yang, F., Nguyen, V. T. T. (2023). SaaS Model Assessment- A DEA Approach. The Eurasia Proceedings of Science Technology Engineering and Mathematics, Volume: 23. https://doi.org/10.55549/epstem.1363369

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References (3)

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  3. Geng, Z., Zeng, R., Han, Y., Zhong, Y., & Fu, H. J. E. (2019). Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical