The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.
Investigating the impact of social media advertising features on customer purchase intention
Abstract
Abstract Social media is being increasingly used as a platform to conduct marketing and advertising activities. Organizations have spent a lot of time, money, and resources on social media ads. However, there is always a challenge in how organizations can design social media advertising to successfully attract customers and motivate them to purchase their brands. Thus, this study aims to identify and test the main factors related to social media advertising that could predict purchase intention. The conceptual model was proposed based on three factors from the extending Unified Theory of Acceptance and Use of Technology (UTAUT2) (performance expectancy, hedonic motivation, and habit) along with interactivity, informativeness, and perceived relevance. The data was collected using a questionnaire survey of 437 participants. The key results of structural equation modelling (SEM) largely supported the current model’s validity and the significant impact of performance expectancy, hedonic motivation, interactivity, informativeness, and perceived relevance on purchase intentions. This study will hopefully provide a number of theoretical and practical guidelines on how marketers can effectively plan and implement their ads over social media platforms.
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The effect of characteristics of source credibility on consumer behaviour: A meta-analysis
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.005 · Cited by 504
Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.008 · Cited by 371
Hanaysha, J. R. (2022) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2022.100102 · Cited by 331
AlFarraj, O., Alalwan, A. A., Obeidat, Z. M., Baabdullah, A., Aldmour, R., & Al-Haddad, S. (2021) · Review of International Business and Strategy · doi:10.1108/ribs-07-2020-0089 · Cited by 311
Self-citationSocial media marketing: Who is watching the watchers?
Jacobson, J., Gruzd, A., & Hernández-García, Á. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.001 · Cited by 285
Metadata
- Authors
- Alalwan, A. A.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 42
- Pages
- 65-77
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2809468846
- Cited by
- 906
- References
- 127
- FWCI
- 135.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
