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
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.
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
Details
| Primary Language | English |
|---|---|
| Subjects | Computer Software |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | September 20, 2023 |
| Publication Date | September 30, 2023 |
| Published in Issue | Year 2023Volume: 23 |
