The study is limited to English-language peer-reviewed

The gap

Evidence profile

Stated in the limitations and cells limitations sections of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 123 times in total.

Supporting evidence — 3 representative gaps

• A BIBLIOMETRIC ANALYSIS OF THE EVOLUTION OF KNOWLEDGE ABOUT ANDEAN PÁRAMO (2026) · Geojournal of Tourism and Geosites · doi

  This research presents several limitations that should be acknowledged. First, the data were exclusively sourced from the Scopus database, which, although prestigious in the scientific community, represents only a portion of the total available data. This highlights the need for future studies to utilize different databases, such as Web of Science, Science Direct, or Google Scholar, which would allow for comparison and validation of the findings presented here. Additionally, the study focused solely on scientific articles published in English and Spanish, implying that contributions from other countries or in other languages may not have been captured. Similarly, books, book chapters, reviews, or technical reports were excluded, although these could enrich the bibliometric landscape. Articles that did not contain the specified keywords were excluded from the sample; thus, their content was not subjected to bibliometric analysis and warrants deeper examination within this subfield using this methodology. Data were collected within a specific temporal framework, so the number of citations and publications may vary slightly in the future. Despite these limitations, the results provide a comprehensive bibliometric overview of the main research trends in páramo studies. Author Contributions: Conceptualization, P.E.L.V. and I.L.V.A.; methodology, L.M.G.V. and I.L.V.A.; software, P.E.L.V. and Y.J.R.A.; formal analysis, R.A.P.O. and Y.J.R.A.; investigation, A.M.S.Y.; resources, ILVA; data curation, 67 Priscila E. LUJÁN-VERA, Lucy Mariella García VILELA, Rony Alexander Piñarreta OLIVARES, Iris Liliana VÁSQUEZ-ALBURQUEQUE, Anggie Melissa Sánchez YARLEQUE, Yuliana Jesus Ruiz ATOCHE P.E.L.V.; writing—original draft preparation, R.A.P.O. and A.M.S.Y.; writing—review and editing, P.E.L.V. and L.M.G.V.; visualization, P.E.L.V. and Y.J.R.A.; supervision, P.E.L.V. and L.M.G.V.; project administration, P.E.L.V. and R.A.P.O.; funding acquisition, L.M.G.V. and R.A.P.O. All authors have read and agreed to the published version of the manuscript.

  generalstated in limitationsevidence 5/5
  Keywords: scientific bibliometric authors statement limitations community future science presented articles published contributions excluded within methodology
• Is Big Data Adoption Shaping Business Landscapes? An Overview of Current Hotspots and Future Trends (2024) · Data & Metadata · cited 123× · doi

  Although achieving our goal required the analysis of both databases (WoS and Scopus) to reduce bias induced by the usage of one database only, the important point that must be delineated is that the outcomes outlined in this paper rest mainly on only these two databases restricted to clearly defined periods. Further comparison of these databases should be done for longer periods so that more constraints can be reduced. How resolving duplicate articles that exist in both the WoS and Scopus databases could have worked out had been analyzed. Given the scope of the methodology used and time resources, it was difficult to remove the duplicates. This will assist future researchers to come up with ways in which the problem can be dealt with, thus improving the quality of bibliometric analyses. BIBLIOGRAPHIC REFERENCES 1. Abdian, S., Shahri, M. H., & Khadivar, A. (2023). A Bibliometric Analysis of Research on Big Data and Its Potential to Value Creation and Capture. Iranian Journal of Management Studies, 16(1), 1–24. https://doi. org/10.22059/IJMS.2021.319211.674442 2. Aboelmaged, M., & Mouakket, S. (2020). Influencing models and determinants in big data analytics research: A bibliometric analysis. Information Processing and Management, 57(4), 102234. https://doi.org/10.1016/j. ipm.2020.102234 3. Agarwal, R., & Dhar, V. (2014). Big data, data science, and analytics: The opportunity and challenge for IS research. In Information systems research (Vol. 25, Issue 3, pp. 443–448). INFORMS. 4. Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485–1509. 5. Ardito, L., Scuotto, V., Del Giudice, M., & Petruzzelli, A. M. (2019). A bibliometric analysis of research on Big Data analytics for business and management. Management Decision, 57(8), 1993–2009. https://doi. org/10.1108/MD-07-2018-0754 6. Batistič, S., & van der Laken, P. (2019). History, Evolution and Future of Big Data and Analytics: A https://doi.org/10.56294/dm2025536 Data and Metadata. 2025; 4:536 14 Bibliometric Analysis of Its Relationship to Performance in Organizations. British Journal of Management, 30(2), 229–251. https://doi.org/10.1111/1467-8551.12340 7. Bouarar, A. C., Mouloudj, S., & Mouloudj, K. (2022). Digital Transformation. In COVID-19’s Impact on the Cryptocurrency Market and the Digital Economy (pp. 33–52). IGI Global. https://doi.org/10.4018/978-1-7998- 9117-8.ch003 8. Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75–86. 9. Cetindamar, D., Kocaoglu, D., Lammers, T., & Merigo, J. M. (2019). A Bibliometric Analysis of Technology Management Research at PICMET for 2009–2018. 2019 Portland International Conference on Management of Engineering and Technology (PICMET), 1–7.

  generalstated in limitationsevidence 5/5
  Keywords: management https bibliometric databases analytics scopus periods future journal information science business mouloudj digital technology
• A Bibliometric Analysis in the Field of Air Transport Management (2026) · Anadolu Üniversitesi Sosyal Bilimler Dergisi · doi

  The study is limited to English-language peer-reviewed articles. - The study only includes publications from the Web of Science Core Collection database. - The quantitative nature of bibliometrics emphasizes macro-level structural trends rather than the semantic granularity of qualitative reviews.

  generalstated in cells limitationsevidence 5/5
  Keywords: study limited english-language peer-reviewed articles only includes publications

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