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Review Open access Jul 2026

Transformational Leadership and Innovative Work Behavior: Insights From A Systematic Literature Review

Innovative Work Behavior (IWB) has emerged as a crucial organizational competency for maintaining competitiveness and adapting to rapid environmental changes. Despite prior research consistently recognizing transformational leadership as a significant precursor to innovative work behavior (IWB), empirical evidence remains incongruent about the processes and contextual variables that underpin this association. This research seeks to consolidate current empirical information about the influence of transformational leadership on Innovative Work Behavior and to ascertain the mediating and moderating elements that enhance this connection. A Systematic Literature Review (SLR) was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Articles pertinent to the subject, published from 2019 to 2025, were sourced from the Google Scholar, SINTA, Garuda, and Scopus databases. Nineteen papers satisfied the inclusion criteria after the screening and eligibility assessment and were included into the final evaluation. The results reveal that transformational leadership is the most thoroughly examined leadership style in IWB research and regularly exhibits a favorable correlation with workers' creative behavior. Moreover, psychological empowerment, knowledge sharing, and job engagement were identified as the predominant mediating factors, while organizational culture, organizational environment, individual characteristics, and digital readiness were determined to enhance this association. This study's originality resides in its comprehensive conceptual synthesis, which integrates leadership styles, mediating mechanisms, contextual factors, and contemporary research trends, thus providing a more holistic understanding of how transformational leadership promotes Innovative Work Behavior across various organizational contexts

Rozi Resmi Sapira, Claudia Sahetapy, Erica Awaliyah et al. · 0 citations
Open access Jul 2026

In-Situ Gaussian Splatting-generated 3D Thermal Mesh Visualization for Urban Trees in Augmented Reality

Abstract. Urban trees provide critical ecosystem services in dense city environments, yet current workflows for monitoring their thermal behaviour remain confined to 2D desktop-based analysis with no three-dimensional spatial context or field-deployable visualization capability. This paper presents a complete pipeline for in-situ 3D thermal mesh visualization of urban trees in Augmented Reality (AR), combining Thermal InfraRed (TIR) image acquisition, Gaussian Splatting-based mesh reconstruction, quantitative validation, and mobile AR deployment. TIR images of a Tilia tomentosa acquired with a FLIR T560 camera are preprocessed with a standardized false-colour palette and fed into the MILo (Mesh-In-the-Loop Gaussian Splatting) framework to reconstruct a thermally attributed 3D mesh. Geometric evaluation against a Z+F IMAGER 5016 TLS reference using the M3C2 algorithm demonstrates that MILo recovers 13.5 times more canopy geometry than traditional multi-view stereo under thermal imagery, with a standard deviation of 4.0 cm. A colourmap inversion procedure recovers per-vertex temperature estimates from the GS-derived mesh colours, yielding a mean absolute difference of 0.7°C against direct T-Cam measurements (thermal camera mounted on the laser scanner), within the combined instrument accuracy of both sensors. The resulting thermal Gaussian Splat was deployed in a custom Android AR application supporting hybrid marker-based and GPS-based spatial anchoring for in-situ visualization. These results demonstrate the technical feasibility of GS-based thermal reconstruction and mobile AR as a medium for communicating three-dimensional canopy thermal information to educators and urban forestry practitioners.

Chaimaa Delasse, D. Billi, Gede Mahendra Darmawiguna et al. · 0 citations