Anil Singh Parihar
Biographic Data
| ID | 9597157 |
|---|---|
| NAME | Anil Singh Parihar |
| GIVEN NAMES | Anil Singh |
| FAMILY NAME | Parihar |
| SIGNATURE | PARIHAR A S |
| AFFILIATIONS | Manipal University CDOE |
| ORCID | 0000-0001-5339-8671 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Analyzing the impact of psychological capital on the entrepreneurial intentions of students through mediating role of individual expectancy using PLS-SEM
Purpose The main impetus of the present analysis is to inspect the effect of psychological capital (PsyCap) on entrepreneurial intentions (EI) amongst college students and to test the mediation role of individual expectancy between PsyCap and EI. Design/methodology/approach The cross-sectional data of the university students enrolled in business management and engineering courses served as the foundation for the quantitative study design. To test…
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning
Widespread digitalization has led to almost all utilities and services thrive on an online medium. A real-time, personalized, and trend grasping recommendation system is necessary to enhance user experience and boost business on E-commerce platforms. We propose the Multimodel Contextual Reinforcement Learning (MMCR) constituting three novel features for real-time and customized recommendations. The first feature is user-item interactive state emb…
No prominent works on this page.
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning
Widespread digitalization has led to almost all utilities and services thrive on an online medium. A real-time, personalized, and trend grasping recommendation system is necessary to enhance user experience and boost business on E-commerce platforms. We propose the Multimodel Contextual Reinforcement Learning (MMCR) constituting three novel features for real-time and customized recommendations. The first feature is user-item interactive state emb…
Analyzing the impact of psychological capital on the entrepreneurial intentions of students through mediating role of individual expectancy using PLS-SEM
Purpose The main impetus of the present analysis is to inspect the effect of psychological capital (PsyCap) on entrepreneurial intentions (EI) amongst college students and to test the mediation role of individual expectancy between PsyCap and EI. Design/methodology/approach The cross-sectional data of the university students enrolled in business management and engineering courses served as the foundation for the quantitative study design. To test…
Artificial Intelligence (1 work) · Caching and Content Delivery (1 work) · Classical economics (1 work) · Computer Science (1 work) · Economics (1 work) · Entrepreneurship Studies and Influences (1 work) · Expectancy theory (1 work) · Higher Education and Employability (1 work) · Human Mobility and Location-Based Analysis (1 work) · Machine learning (1 work)