Sripathi Kalvakolanu
Biographic Data
| ID | 6733489 |
|---|---|
| NAME | Sripathi Kalvakolanu |
| GIVEN NAMES | Sripathi |
| FAMILY NAME | Kalvakolanu |
| SIGNATURE | KALVAKOLANU S |
| AFFILIATIONS | Department of Management Studies Gates Institute of Management & Sciences Vijayawada India |
| ORCID | 0000-0001-8539-4050 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Novel hybrid approaches to measure smartphone addiction—Application of statistical and triangular fuzzy techniques
The paper evaluates the levels of smartphone addiction among students using statistical and fuzzy analysis approaches. By using Smartphone Addiction Test (SAT) scores, the data were treated using fuzzy operators, and the relationships were analyzed by applying the statistical techniques. The respondent's addiction level scores were converted into a fuzzy environment through the triangular approach, and demographic characteristics of the responden…
Evaluating and ranking the Indian private sector banks—A multi‐criteria decision‐making approach
The paper examines the performance of Indian private sector banks based on various combinations of multi-criteria decision-making techniques. Annual reports of the respective banks were used to capture the data and measure the performance by considering multiple inputs and outputs. The data are analyzed through notable multiple criteria decision-making (MCDM) techniques, CRITIC, TOPSIS, and grey relational analysis (GRA). The study reveals that H…
No prominent works on this page.
Novel hybrid approaches to measure smartphone addiction—Application of statistical and triangular fuzzy techniques
The paper evaluates the levels of smartphone addiction among students using statistical and fuzzy analysis approaches. By using Smartphone Addiction Test (SAT) scores, the data were treated using fuzzy operators, and the relationships were analyzed by applying the statistical techniques. The respondent's addiction level scores were converted into a fuzzy environment through the triangular approach, and demographic characteristics of the responden…
Evaluating and ranking the Indian private sector banks—A multi‐criteria decision‐making approach
The paper examines the performance of Indian private sector banks based on various combinations of multi-criteria decision-making techniques. Annual reports of the respective banks were used to capture the data and measure the performance by considering multiple inputs and outputs. The data are analyzed through notable multiple criteria decision-making (MCDM) techniques, CRITIC, TOPSIS, and grey relational analysis (GRA). The study reveals that H…
Artificial Intelligence (2 works) · Computer Science (2 works) · Mathematics (2 works) · Actuarial science (1 work) · Addiction (1 work) · Applied Psychology (1 work) · Applied Psychology (1 work) · Behavioral Health and Interventions (1 work) · Benchmark (surveying (1 work) · Business (1 work)