Sustainable Knowledge-Based Enterprise Products Using AI-Powered Social Media for Enhancing Brand Equity: A Scientometric Review
Abstract
1. Introduction
2. Methodology
2.1. Theoretical Foundation
2.2. Data Source Selection
2.3. Search Strategy
2.4. Article Screening and Selection
- In the first round of the search, the dataset was refined by incorporating keywords related to KBEs, such as “company,” “enterprise,” “knowledge-based company,” “KBE,” “startup,” and “start-up,” and limiting the timeframe to 2008–2024 to focus on contemporary research. Inclusion criteria required articles to address brand equity and social media, while exclusion criteria removed irrelevant sources, such as those in technical engineering, books, or conference proceedings. In this stage, 400 articles were identified.
- In the second round of the search, the focus was narrowed to English-language journal articles published between 2018 and 2024, prioritizing studies that addressed sustainability, which emerged as a critical construct for RQ2. This process resulted in 149 articles.
- In the third round of the search, a detailed full-text review was conducted to confirm direct relevance to brand equity, social media, sustainability, and KBEs, leading to the selection of 33 key articles for in-depth analysis. This helped to extract key data and significant findings from the selected articles. Factors influencing brand equity were identified and extracted from these studies to inform the development of the initial model.
2.5. Bibliometric Analysis
2.6. Thematic Analysis
2.7. Trend Analysis
2.8. Analysis and Preliminary Model Development
2.9. Methodological Rigor
- Transparency: All search strings, screening criteria, and analytical processes are clearly documented.
- Replicability: Standardized tools (Scopus, VOSviewer, NVivo) and well-defined protocols enable study replication.
- Validity: Triangulation of bibliometric, thematic, and trend analyses ensures robust, cross-validated findings.
- Relevance: The focus on recent, high-quality articles and emergent themes, such as sustainability, addresses current research needs.
3. Analysis and Findings
3.1. Scopus Data Analysis
3.1.1. Initial Dataset of Articles
3.1.2. Article Screening and Filtering
- Articles published in the last six years.
- Studies written in English for accessibility and review purposes.
- Journal articles, excluding books and conference papers, to maintain focus on scholarly publications.
- Articles published from 1994 to early 2024 were extracted and reviewed. Using VOSviewer software, the data were organized and analyzed, creating a bibliographic network that illustrates the key topics studied during this period.
- Interdisciplinary issues and studies were identified and extracted from the data. Subsequently, a network map connecting these topics was designed and analyzed.
- The filtered output data underwent further network analysis using VOSviewer, ensuring the accuracy and reliability of the results.
3.2. Literature Trends and Network Analysis
3.2.1. Trend Analysis from 2008 Onwards
3.2.2. Brand Equity, Sustainability, and Social Media
3.3. Google Trends Data Analysis
4. Review of Key Directions
4.1. Contextual Background, Branding Strategies, and Performance Measures
4.2. Brand Innovation in the Context of Social Media
4.3. Brand Equity and Its Key Factors
4.4. Brand Communities on Social Media
4.5. Sustainable Development in Branding
4.6. Theoretical Basis of Brand Equity
- ○
- Brand Awareness: The ability and willingness of customers to realize and recall a specific brand among competitors.
- ○
- Brand Loyalty: Customers’ commitment to repeatedly purchasing products or services and their willingness to defend the brand against competitors.
- ○
- Perceived Quality: Customers’ perceptions and judgments about the quality of a brand’s products or services.
- ○
- Brand Associations: Thoughts, feelings, and ideas that customers associate with the brand.
- ○
5. Discussion
5.1. Emerging Topics Based on the Scopus Analysis
5.2. Global Trend Analysis
5.3. Research Gaps
5.4. Research Contributions
5.5. AI-Powered Social Media and Future Research Directions
Potential AI-Based Research Directions | Advantages or Values |
---|---|
Collaboration between humans and AI using AI agents. | SMEs can compete more effectively with larger companies. |
Developing AI tools tailored explicitly to SME needs, target audiences, and micro-segments within their audience. | AI affects SME B2B social media strategies and offers personalized customer experiences. Enhances AI-driven customization [2]. |
Generating new content and client engagement. | The effect of AI on the global reach of SMEs through social media. |
6. Conclusions
6.1. Implications
6.2. Review Limitations
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Building Block | Description |
---|---|
Identity | Revealing a brand’s identity to others in different ways, depending on each user. |
Conversations | Social network conversations reflect self-expression, status, and the desire to share fresh or valuable insights. |
Sharing | Social networks facilitate the sharing, exchanging, and receiving of content among users. |
Presence | Social media platforms enable users to signal their presence and availability. |
Relationships | Social networks enable interaction, reflecting how closely users are connected to others. |
Reputation | Social media users care about how they’re perceived, with reputation often tied to trust. |
Groups | Social media groups reflect users’ fundamental need for belonging in online communities. |
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MohammadEbrahimzadeh, S.; Khajeheian, D.; Arbatani, T.R.; Labafi, S.; Sepasgozar, S. Sustainable Knowledge-Based Enterprise Products Using AI-Powered Social Media for Enhancing Brand Equity: A Scientometric Review. Sustainability 2025, 17, 8427. https://doi.org/10.3390/su17188427
MohammadEbrahimzadeh S, Khajeheian D, Arbatani TR, Labafi S, Sepasgozar S. Sustainable Knowledge-Based Enterprise Products Using AI-Powered Social Media for Enhancing Brand Equity: A Scientometric Review. Sustainability. 2025; 17(18):8427. https://doi.org/10.3390/su17188427
Chicago/Turabian StyleMohammadEbrahimzadeh, Sanee, Datis Khajeheian, Taher Roshandel Arbatani, Somayeh Labafi, and Samad Sepasgozar. 2025. "Sustainable Knowledge-Based Enterprise Products Using AI-Powered Social Media for Enhancing Brand Equity: A Scientometric Review" Sustainability 17, no. 18: 8427. https://doi.org/10.3390/su17188427
APA StyleMohammadEbrahimzadeh, S., Khajeheian, D., Arbatani, T. R., Labafi, S., & Sepasgozar, S. (2025). Sustainable Knowledge-Based Enterprise Products Using AI-Powered Social Media for Enhancing Brand Equity: A Scientometric Review. Sustainability, 17(18), 8427. https://doi.org/10.3390/su17188427