JOURNAL ARTICLE
E-Marketing and Hotel Performance: Strategic Insights from Star-Rated Hotels in Addis Ababa, Ethiopia.
Published In: African Journal of E-Commerce, Logistics & Transport Studies (AJELTS), 2025, v. 2, n. 1. P. 65 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Fikadu, Tesema; Alemu, Biniyam; Kibru, Demeke; Sharma, Sukarn 3 of 3
Abstract
This article investigates the impact of electronic marketing (e-marketing) channels—specifically email marketing, social media marketing, mobile marketing, and search engine optimisation (SEO)—on the performance of star-rated hotels in Addis Ababa, Ethiopia. Using a quantitative approach grounded in the Resource-Based View (RBV), data collected from employees across ten hotels reveal that all four e-marketing channels positively influence hotel performance, with email and mobile marketing showing the strongest effects. The study highlights significant synergies among integrated e-marketing platforms and recommends enhancing email campaigns, improving international visibility through SEO, and leveraging analytics for personalized customer engagement. Limitations include the study's focus on a single city, reliance on employee-reported data, and cross-sectional design, suggesting future research should incorporate longitudinal methods, customer perspectives, and broader geographic contexts to deepen understanding of e-marketing's role in emerging hospitality markets.
Additional Information
- Source:African Journal of E-Commerce, Logistics & Transport Studies (AJELTS). 2025/06, Vol. 2, Issue 1, p65
- Document Type:Article
- Subject Area:Geography and Cartography
- Publication Date:2025
- ISSN:3050-2322
- DOI:10.31920/3050-2330/2025/v2n1a3
- Accession Number:187879183
- Copyright Statement:Copyright of African Journal of E-Commerce, Logistics & Transport Studies (AJELTS) is the property of Adonis & Abbey Publishers Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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