Efthymia Symitsi
Biographic Data
| ID | 6303807 |
|---|---|
| NAME | Efthymia Symitsi |
| GIVEN NAMES | Efthymia |
| FAMILY NAME | Symitsi |
| SIGNATURE | SYMITSI E |
| AFFILIATIONS | University of Leeds |
| ORCID | 0000-0001-6371-4156 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews
We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, …
The joint effect of consumer and service providers’ culture on online service evaluations: A response surface analysis
The joint effect of consumer and service providers’ culture on online service evaluations: A response surface analysis
Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews
We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, …
The joint effect of consumer and service providers’ culture on online service evaluations: A response surface analysis
Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews
We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, …
Business (2 works) · Digital Marketing and Social Media (2 works) · Marketing (2 works) · Advertising (1 works) · Aggregate (composite (1 works) · Baseline (sea (1 works) · Computer Science (1 works) · Consumer Behavior in Brand Consumption and Identification (1 works) · Consumer confidence index (1 works) · Consumer Market Behavior and Pricing (1 works)