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All Journal JURNAL LENTERA BISNIS Cakrawala : Management Science Journal
Supriatna, Dadar
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Economics, Econometrics & Finance Social Sciences

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Journal : Cakrawala : Management Science Journal

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Digital Leadership and Innovation: A Systematic Literature Review of Theoretical Foundations, Research Emphases, and Methodological Approaches Gunawan; Santoso, Budi; Fadillah, Muhammad Ifan; Supriatna, Dadar
CAKRAWALA : Management Science Journal Vol. 2 No. 2 (2025): Cakrawala : Management Science Journal - Mei
Publisher : Yayasan Edukasi Cakrawala Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63541/59ajhk72

Abstract

Digital leadership is increasingly recognized as a strategic capability essential for guiding organizations through rapid technological transformation. It is particularly associated with enhanced agility, performance, and the integration of emerging technologies across sectors such as SMEs, manufacturing, education, and public administration. Despite growing interest, existing literature remains fragmented and lacks a coherent synthesis that reflects the multidimensional role of digital leadership across varying organizational and contextual settings. Moreover, limited attention has been given to the mechanisms through which digital leadership drives innovation under diverse ecological, geographic, and structural conditions. To address this gap, we conduct a Systematic Literature Review (SLR) following PRISMA 2020 guidelines and the SPAR-4-SLR framework, analyzing 43 peer-reviewed Scopus-indexed articles published between 2015 and 2025. Through thematic synthesis, bibliometric mapping, and theoretical classification, we identify key patterns, conceptual structures, and research trends. The findings highlight the dominance of Dynamic Capability Theory (DCT) and Resource-Based View (RBV), with survey-based SEM methodologies prevailing. Notable gaps include conceptual ambiguity, methodological uniformity, and limited longitudinal and cross-cultural insights. This review offers a future research agenda grounded in the Theory–Context–Method (TCM) framework, advocating for broader theoretical integration and contextual diversity to better understand digital leadership’s role in fostering sustainable innovation.
Artificial Intelligence in Knowledge Management: Mapping a Decade of Research and Emerging Directions Gunawan, Gunawan; Adiyanti, Siska Ayudia; Ramdana, Adi Dadan; Agustina, Granit; Supriatna, Dadar
CAKRAWALA : Management Science Journal Vol. 3 No. 1 (2026): Cakrawala: Management Science Journal - January
Publisher : Yayasan Edukasi Cakrawala Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63541/z157nq33

Abstract

This study maps the intellectual landscape of research at the intersection of artificial intelligence (AI) and knowledge management (KM) to clarify how the field has evolved, who shapes its development, and which themes dominate and emerge over time. A science-mapping study was conducted on 209 English-language journal articles indexed in Scopus (2015–2025). The dataset was analyzed using Biblioshiny to generate performance indicators, collaboration patterns, and thematic structures derived from keyword co-occurrence and factorial clustering. The results indicate a clear acceleration of KM–AI publications after 2020, signaling a shift from early exploratory work toward a rapidly expanding domain. Social-structure mapping shows that knowledge production is globally distributed but concentrated among a core set of countries, institutions, and author networks, with collaboration patterns shaping the diffusion of dominant topics. Conceptually, the field is organized around three interlinked streams: (i) AI-enabled decision support and analytics for KM, (ii) people- and leadership-related adoption dynamics influencing knowledge sharing and innovation, and (iii) governance and sustainability concerns associated with responsible knowledge processes and risk management. This study consolidates fragmented KM–AI scholarship into an integrated map, differentiates core versus peripheral streams, and proposes a focused research agenda that prioritizes mechanisms, boundary conditions, and evaluation approaches for AI-enabled KM in organizational settings.
Co-Authors Adi Dadan Ramdana Adiyanti, Siska Ayudia Dwi Budi Santoso Fadillah, Muhammad Ifan Granit Agustina Gunawan Gunawan Gunawan Karyadi, Haris Latifah Latifah Tahalele, Olivia Widyastuti Widyastuti