Survey Data on Digital Leadership
Description
Dataset WoS The COVID-19 pandemic and digital disruption have transformed the world and organizations on an unprecedented scale, presenting leaders with unique challenges and creating an opportunity to study digital leadership. This area of research is expanding significantly, though it remains in a developmental and maturing phase. To date, theoretical studies are predominant, including systematic reviews, literature reviews, and bibliometric studies. This study conducts a systematic literature review and science mapping of 74 documents published between 2000 and 2022 in the Web of Science database, using VOSviewer software to analyze the field’s evolution. Findings reveal that research on digital leadership has grown, with digital transformation, digitalization, COVID-19, information and communication technologies, virtual teams, and creativity emerging as core themes in this domain. This study concludes that the effective implementation of digital leadership requires not only technological skills but also human-centered competencies; its application has predominantly expanded in the education sector, with limited use in construction.
Files
Steps to reproduce
A systematic literature review was conducted following the PRISMA protocol and its four phases: identification, selection, eligibility, and inclusion. The search was specifically conducted within the following editions: Social Sciences Citation Index (SSCI), Emerging Sources Citation Index (ESCI), Science Citation Index Expanded (SCI-EXPANDED), Conference Proceedings Citation Index—Social Science & Humanities (CPCI-SSH), Conference Proceedings Citation Index—Science (CPCI-S), Book Citation Index—Social Sciences & Humanities (BKCI-SSH), and Book Citation Index—Science (BKCI-S). The search criteria were as follows: the search focused on titles and author keywords containing the terms “e-leadership” OR “virtual leadership” OR “digital leadership” OR “online leadership” OR “remote leadership” during the period from 2000 to 2022, in all languages, from all countries. From this process, a total of 313 documents related to the topic were obtained. In VOSviewer, a co-occurrence analysis of keywords was conducted using the dataset of 301 documents. Based on author keywords as the unit of analysis, a thesaurus of 14 words was created, yielding a list of 139 words, from which 30 were excluded as they did not correspond to thematic topics, consisted of undefined symbols, or were linking and supplementary words. This resulted in a refined set of 109 keywords, from which a map of 52 interrelated thematic elements was generated. The layout was adjusted for optimal visualization, with an attraction value of 7 and a repulsion value of −3, and a density visualization map was chosen.