Redirecting to http://dergipark.org.tr/_fragment?_hash=jey9Ucx1zaOE-2buvgwTuy5NisVpSGEIZBGtbpIhgh0&_path=id%3D1363369%26_format%3Dhtml%26_locale%3Den%26_controller%3DApp%255CController%255CSite%255CArticleController%253A%253AesiArticleStats.
Conference Paper
BibTex RIS Cite

SaaS Model Assessment- A DEA Approach

Year 2023, Volume: 23, 106 - 116, 30.09.2023

Thi Minh Nhut Vo Chia-nan Wang Fu-chiang Yang Van Thanh Tien Nguyen

https://doi.org/10.55549/epstem.1363369

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.

Keywords

SaaS model Assessment Software as a Service industry A DEA Approach DEA SBM analysis.

References

  • Arana-Jiménez, M., Sánchez-Gil, M. C., Lozano, S. J. J. O. C (2022). A fuzzy DEA slacks-based approach. Mathematics, 404, 113180.
  • Fathi, B., Ashena, M., Bahari, A. R. J. S. P. (2021). Energy, environmental, and economic efficiency in fossil fuel exporting countries: A modified data envelopment analysis approach. Consumption, 26, 588-596.
  • 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

Year 2023, Volume: 23, 106 - 116, 30.09.2023

Thi Minh Nhut Vo Chia-nan Wang Fu-chiang Yang Van Thanh Tien Nguyen

https://doi.org/10.55549/epstem.1363369

Abstract

References

  • Arana-Jiménez, M., Sánchez-Gil, M. C., Lozano, S. J. J. O. C (2022). A fuzzy DEA slacks-based approach. Mathematics, 404, 113180.
  • Fathi, B., Ashena, M., Bahari, A. R. J. S. P. (2021). Energy, environmental, and economic efficiency in fossil fuel exporting countries: A modified data envelopment analysis approach. Consumption, 26, 588-596.
  • 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
There are 3 citations in total.

Details

Primary Language English
Subjects Computer Software
Journal Section Articles
Authors

Thi Minh Nhut Vo

Chia-nan Wang

Fu-chiang Yang

Van Thanh Tien Nguyen

Early Pub Date September 20, 2023
Publication Date September 30, 2023
Published in Issue Year 2023 Volume: 23

Cite

APA Vo, T. M. N., Wang, C.- nan, Yang, F.- chiang, Nguyen, V. T. T. (2023). SaaS Model Assessment- A DEA Approach. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 106-116. https://doi.org/10.55549/epstem.1363369
Creative Commons License