B-SLR process in the study on AI and BM
| B-SLR steps | Application to the AI and BM study |
|---|---|
| Step 1. Research question and boundaries of the study | Topic: AI and BM |
| Research questions: current state of research, established themes, emerging issues | |
| Step 2. Search query definition | Search string: (“artificial intelligence” OR AI) AND “business model*” |
| Step 3. Database selection | Database: Scopus |
| Search date: January 20, 2024 | |
| Search in: title, abstract and keywords | |
| Step 4. Data screening and data cross-checks | Inclusion/exclusion criteria |
| Structure type: journal | |
| Document type: article or review | |
| Language: English | |
| Subject area: Business, Management and Accounting | |
| Raw dataset (n = 193) | |
| Step 5. Data cleaning and export | The manual selection following the boundaries of the selected topic and the inclusion/exclusion criteria (n = 112) |
| The quality filter using CABS-AJG journal ranking (n = 87) | |
| Export of the refined dataset: February 19, 2024 | |
| Step 6. Bibliometric approach | Co-citation analysis (CiteSpace) |
| Co-occurrence analysis (VOSviewer) | |
| Timeline view analysis (CiteSpace) | |
| Step 7. Clusters’ topic identification | Refining key parameters for bibliometric analysis |
| Five thematic clusters identified with VOSviewer | |
| Graphical representation of the results | |
| Step 8. Sample ordering and selection | All documents have been included for SLR |
| Step 9. Systematic literature review | Holistic analysis of the dataset |
| Specific analysis of the documents in the clusters | |
| Step 10. Developing a theoretical contribution | Conceptual framework and research agenda |
| B-SLR steps | Application to the AI and BM study |
|---|---|
| Step 1. Research question and boundaries of the study | Topic: AI and BM |
| Research questions: current state of research, established themes, emerging issues | |
| Step 2. Search query definition | Search string: (“artificial intelligence” OR AI) AND “business model*” |
| Step 3. Database selection | Database: Scopus |
| Search date: January 20, 2024 | |
| Search in: title, abstract and keywords | |
| Step 4. Data screening and data cross-checks | Inclusion/exclusion criteria |
| Structure type: journal | |
| Document type: article or review | |
| Language: English | |
| Subject area: Business, Management and Accounting | |
| Raw dataset ( | |
| Step 5. Data cleaning and export | The manual selection following the boundaries of the selected topic and the inclusion/exclusion criteria ( |
| The quality filter using CABS-AJG journal ranking ( | |
| Export of the refined dataset: February 19, 2024 | |
| Step 6. Bibliometric approach | Co-citation analysis (CiteSpace) |
| Co-occurrence analysis (VOSviewer) | |
| Timeline view analysis (CiteSpace) | |
| Step 7. Clusters’ topic identification | Refining key parameters for bibliometric analysis |
| Five thematic clusters identified with VOSviewer | |
| Graphical representation of the results | |
| Step 8. Sample ordering and selection | All documents have been included for SLR |
| Step 9. Systematic literature review | Holistic analysis of the dataset |
| Specific analysis of the documents in the clusters | |
| Step 10. Developing a theoretical contribution | Conceptual framework and research agenda |
Source(s): Based on Marzi et al. (2025)
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