A critical review of social media advertising literature: Visualization and bibliometric approach
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.50Keywords:
Social media advertising, Bibliometric analysis, Literature review, Visualization.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This bibliometric analysis delves into the landscape of research on "social media advertising" spanning from 2012 to 2023, presenting significant findings that shed light on the field's evolution and scholarly contributions. The study observes a consistent annual growth rate of 6.5%, indicating a sustained interest in exploring the ever-changing realm of social media advertising. Notably, the relatively young average document age of 4.28 years reflects the proactive nature of researchers in keeping pace with contemporary developments. The analysis highlights the substantial impact of research efforts in this domain, with an average citation count of 58.01 per document and an extensive total number of references amounting to 7,073. The significant international co-authorship percentage of 34% emphasizes the global outlook of the discipline and the collaborative nature of knowledge creation across borders. Among academic sources, the "Journal of Research in Interactive Marketing" emerges as a prominent contributor, with notable influence demonstrated by its 12 documents and 698 citations. Other influential journals such as "Computers in Human Behavior" and "Internet Research" follow closely behind. Additionally, the study identifies leading authors and organizations in the field, particularly highlighting the dominant role of the United States in research productivity, international collaboration, and overall research impact. In summary, this bibliometric analysis offers a comprehensive overview of social media advertising, showcasing its growth, international collaboration, focus on contemporary research, and substantial influence. These insights hold significance for researchers, institutions, and policymakers, shaping the future trajectory of this dynamic field and ensuring its continued relevance and global impact.Abstract
How to Cite
Downloads
Similar Articles
- Jayaganesh Jagannathan, Dr. Agrawal Rajesh K, Dr. Neelam Labhade-Kumar, Ravi Rastogi, Manu Vasudevan Unni, K. K. Baseer, Developing interpretable models and techniques for explainable AI in decision-making , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ahmed Mustefa, Validating the dairy marketing performance of Mizan-Aman town, Bench-Sheko zone, Ethiopia , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Dhulasi Priya S, Saranya K G, Significance of artificial intelligence in the development of sustainable transportation , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- U. Perachiselvi, R. Balasubramani, Funding agencies in Tamil Nadu State Universities: A scientometric perspective , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ashoke D. Maliki, Taiwo A. Muritala, Saji George, Frank A. Ogedengbe, Impact of project financiers’ strategies on de-risking infrastructural projects: A conceptual review , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Rakesh Thakur, Surender Singh, The Pangwala People of Pangi Region: Ethnography of Rituals and Ceremonies , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Ashutosh Pathak, Review- Significant Advancements in Electrochemical Detection of Neuron-Specific Enolase , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Ruchira P Dudhrejiya, A critical analysis of power dynamics in Vijay Tendulkar's theatrical tapestry , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Amita Gupta, A study of the scientific approach inherited in the Indian knowledge system (IKS) , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 8 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.