The Impact of Perceived Ease of Use on Digital Marketing Adoption Among Malaysian SME
- DOI
- 10.2991/978-94-6239-636-4_21How to use a DOI?
- Keywords
- Perceived Ease of Use; Digital Marketing; SMEs; Technology Adoption
- Abstract
This study investigates the impact of perceived ease of use (PEOU) on digital marketing adoption among Malaysian small and medium enterprises (SMEs). While digital marketing offers significant opportunities for business growth, adoption among SMEs remains uneven, particularly due to individual perceptions toward technology. Using a quantitative approach, data were collected from 143 SME respondents across various sectors in Malaysia. Pearson correlation analysis revealed a strong positive relationship between perceived ease of use and digital marketing adoption (r = 0.631, p < 0.01), indicating that SMEs are more likely to adopt digital marketing tools they perceive as simple and easy to use. The findings extend the Technology Acceptance Model (TAM) within the SME context and provide practical implications for policymakers and platform developers to enhance digital adoption through simplified systems and targeted training initiatives.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hidayahtul Khusna Binti Abdul Malik AU - Zaidatulnisha Ab Jalil AU - Norhaninah Binti A. Ghani PY - 2026 DA - 2026/04/28 TI - The Impact of Perceived Ease of Use on Digital Marketing Adoption Among Malaysian SME BT - Proceedings of the International Conference on Cross- Disciplinary Academic Research 2025 - Track 1 Advances in Computing, Electronics, Engineering, and Mathematics (ICAR-T1 2025) PB - Atlantis Press SP - 281 EP - 287 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-636-4_21 DO - 10.2991/978-94-6239-636-4_21 ID - Malik2026 ER -