Nader Seyyed Amiri
Biographic Data
| ID | 9699306 |
|---|---|
| NAME | Nader Seyyed Amiri |
| GIVEN NAMES | Nader Seyyed |
| FAMILY NAME | Amiri |
| SIGNATURE | AMIRI N S |
| AFFILIATIONS | University of Tehran |
| ORCID | 0000-0002-4117-2883 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Understanding destination brand love using machine learning and content analysis method
This study aims to apply the concept of brand love in tourist destinations in order to identify the core-elements that could have influential impacts on generating destination brand love. This study has been carried out using a mixed-method of machine learning and content analysis. We have discovered that the topics have been generated for historical landmarks and destinations by analysing the visitors’ online reviews are architecture, historical…
How corporate social responsibility contributes to strengthening brand loyalty, hotel positioning and intention to revisit
This study aims to investigate if the visitors’ perception of corporate social responsibility influences both hotel brand positioning and intention to revisit. Furthermore, it examines the indirect impact of corporate social responsibility on hotel brand positioning and intention to revisit through other major factors (identification, satisfaction, and loyalty). In total, 348 valid questionnaires were collected from customers reserved a hotel roo…
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How corporate social responsibility contributes to strengthening brand loyalty, hotel positioning and intention to revisit
This study aims to investigate if the visitors’ perception of corporate social responsibility influences both hotel brand positioning and intention to revisit. Furthermore, it examines the indirect impact of corporate social responsibility on hotel brand positioning and intention to revisit through other major factors (identification, satisfaction, and loyalty). In total, 348 valid questionnaires were collected from customers reserved a hotel roo…
Understanding destination brand love using machine learning and content analysis method
This study aims to apply the concept of brand love in tourist destinations in order to identify the core-elements that could have influential impacts on generating destination brand love. This study has been carried out using a mixed-method of machine learning and content analysis. We have discovered that the topics have been generated for historical landmarks and destinations by analysing the visitors’ online reviews are architecture, historical…
Advertising (2 works) · Business (2 works) · Consumer Behavior in Brand Consumption and Identification (2 works) · Marketing (2 works) · Psychology (2 works) · Tourism (2 works) · Brand Loyalty (1 works) · Computer Science (1 works) · Content analysis (1 works) · Corporate social responsibility (1 works)