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Article Citation - WoS: 15Citation - Scopus: 20The Relation Between Intellectual Capital and Digital Transformation: a Bibliometric Analysis(Emerald Group Publishing Ltd, 2024) Yilmaz, Ayse Asli; Tuzlukaya, Sule ErdemPurposeThe purpose of this study is to depict the value added by digital transformation to intellectual capital (IC) by virtue of the studies reached by the literature review on different databases are examined.Design/methodology/approachJournal of Intellectual Capital, which has the highest number of records from the resources included in the "Web of Science" content and covering the title of "intellectual capital" has been selected in this study. Research using bibliometric analysis has been conducted and it has been determined that the terms "digital transformation" and "intellectual capital" should be searched for simultaneously in each and every article published in the journal between the years 1975 and 2022.FindingsA bibliometric analysis and citation mapping process are carried out considering all dimensions to reach the results and interpretation of findings. VOSviewer is used to visualize the bibliometric networks of results and findings in the form of scientific mapping, as well as to visualize the co-authorship analysis of keywords, co-authorship analysis and citation networks.Research limitations/implicationsBibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. This circumstance is elaborately described as a limitation of this study. Bibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. One limitation is that bibliometric analysis is based on quantitative metrics, such as citation counts, which do not take into account the quality of the research. Therefore, bibliometric analysis alone may not provide a complete picture of the validity of a single journal. In addition, bibliometric analysis is based on the number of times a paper is cited, which can be influenced by factors such as the prestige of the journal, the field of research and the time since the publication. In conclusion, bibliometric analysis can be used to evaluate the performance of a single journal, but it is important to consider its limitations.Originality/valueThis study identified contributions, gaps and limits based on the results of a bibliometric analysis. Italy is the most influential country and the issue is structured around four clusters: IC; digital transformation; human capital; and knowledge management. As previously unexplored issues are addressed in an innovative manner, it is acceptable to underline the paper's originality.Article Citation - WoS: 2Citation - Scopus: 3Competency Trap in Organizational Learning: Turkish E-Government Gateway Application During the Covid-19 Pandemic(Igi Global, 2022) Yilmaz, Ayse Asli; Tuzlukaya, Sule ErdemThe purpose of this study is to depict the competency trap in E-Government Gateway Application and its reactions during the COVID-19 pandemic. A case study with the delphi method is carried out to examine Turkish E-Government Gateway Application during COVID-19 pandemic as extraordinary condition. The major finding of the study is, as a virtual organization, Turkish E-Government Gateway Application has dapperly adapted itself without falling into the competency trap during the transition from routine to the time of COVID-19. In the wake of gathering, synthesizing, and summarizing the ideas on the digital interactions from specialists among citizens, government and other government agencies, employees, and business comprehensives, detailed reactions are identified according to governmental agency and institutional courses of action during routine and time of COVID-19. This is the first study unfolding e-governmental solutions without a competency trap within the unexpected, extraordinary condition.

