Sanjar Mirzaliev
Biographic Data
| ID | 4412751 |
|---|---|
| NAME | Sanjar Mirzaliev |
| GIVEN NAMES | Sanjar |
| FAMILY NAME | Mirzaliev |
| SIGNATURE | MIRZALIEV S |
| AFFILIATIONS | Tashkent State University of Economics, Tashkent, Tashkent Province, Uzbekistan |
| ORCID | 0000-0002-9416-0253 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Lost in the Stream
Live-streaming e-commerce has rapidly emerged as a powerful format that blends real-time interactions, entertainment and product promotion that could shape consumer behaviour. Understanding factors influencing consumers’ impulsive purchase behaviour in a live-streaming context is essential for developing effective strategies and promoting responsible digital consumption. This study applies the stimulus-organism-response (S-O-R) framework to inves…
Examining household energy efficiency in China
China's rapid economic expansion has led to shifting patterns in household energy consumption, yet the trajectory of household energy efficiency remains underexplored. This study utilizes a panel stochastic frontier analysis (SFA) model to examine household energy efficiency trends from 2000 to 2024, revealing distinct findings compared to prior research. Our key results include: (1) household energy efficiency exhibited a fluctuating trend, peak…
No prominent works on this page.
Lost in the Stream
Live-streaming e-commerce has rapidly emerged as a powerful format that blends real-time interactions, entertainment and product promotion that could shape consumer behaviour. Understanding factors influencing consumers’ impulsive purchase behaviour in a live-streaming context is essential for developing effective strategies and promoting responsible digital consumption. This study applies the stimulus-organism-response (S-O-R) framework to inves…
Examining household energy efficiency in China
China's rapid economic expansion has led to shifting patterns in household energy consumption, yet the trajectory of household energy efficiency remains underexplored. This study utilizes a panel stochastic frontier analysis (SFA) model to examine household energy efficiency trends from 2000 to 2024, revealing distinct findings compared to prior research. Our key results include: (1) household energy efficiency exhibited a fluctuating trend, peak…
Advertising (1 work) · Business (1 work) · China (1 work) · Consumer Retail Behavior Studies (1 work) · Customer Service Quality and Loyalty (1 work) · Demographic economics (1 work) · Digital Marketing and Social Media (1 work) · Economics (1 work) · Energy and Environment Impacts (1 work) · Energy, Environment, and Transportation Policies (1 work)