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Novatio : Journal of Management Technology and Innovation
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30308674     DOI : https://doi.org/10.61978/novatio
Core Subject : Science,
Decision Sciences, Operations Research & Management
Novatio : Journal of Management Technology and Innovation with ISSN Number 3030-8674 (Online) published by Indonesian Scientific Publication, The journal is dedicated to publishing original research papers, conceptual articles, and high-quality case studies focused on technology management and innovation.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2025): July 2025" : 5 Documents clear
Machine Learning Applications in Marketing Innovation: A Narrative Review of Global Trends and Challenges Lestari, Anggia Ayu; Yuliviona, Reni; Zulfikri, Agung
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i3.1026

Abstract

Machine learning (ML) is increasingly recognized as a transformative force in marketing innovation, reshaping organizational strategies and consumer engagement across multiple industries. This study reviews the literature on ML applications in marketing, with the objective of synthesizing evidence on predictive analytics, consumer segmentation, personalization, sentiment analysis, and automation. A systematic search was conducted across Scopus, Web of Science, and Google Scholar using targeted keywords such as “machine learning,” “marketing innovation,” “predictive analytics,” and “consumer behavior.” Inclusion criteria focused on peer-reviewed articles published between 2018 and 2025 that explicitly examined ML applications in marketing contexts. The review highlights that algorithms such as Long Short-Term Memory networks, Random Forest, and k-means clustering improve predictive accuracy and segmentation, while generative models and natural language processing enhance personalization, dynamic pricing, and content generation. Findings reveal significant differences between developed and developing countries, where advanced infrastructures support rapid adoption, while resource constraints and digital literacy barriers impede implementation. The discussion further identifies systemic implications, including shifts in organizational processes, policy challenges related to privacy and regulation, and workforce skill gaps. Limitations in current research include insufficient focus on local contexts, cultural factors, and long-term impacts of ML adoption. The study concludes by recommending targeted policies, ethical frameworks, and future research agendas that prioritize inclusivity, equity, and sustainability in ML-driven marketing practices. These strategies are critical for ensuring that ML contributes not only to marketing efficiency but also to broader economic and social progress.
Leadership Styles and Organizational Readiness in the Era of Digital Transformation: A Narrative Review Siswadhi, Ferry; Karimi, Kasman; Kurdi, Moh; Widyastuti, Endang; Koesmariadi, Fransiska Agustina
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i3.1027

Abstract

Digital transformation is now a strategic necessity for organizations across various sectors. This review explores how different leadership styles—transformational, agile, servant, inclusive, and ethical—affect organizational readiness to adopt digital technologies. Using systematic review methods and bibliometric analysis, studies from major databases such as Scopus, Web of Science, and Google Scholar were analyzed to identify patterns and key findings. Inclusion criteria emphasized peer-reviewed research published between 2010 and 2025, encompassing diverse sectors and global contexts. Findings show that transformational leadership improves innovation and agility, agile leadership accelerates technology adoption, servant and inclusive leadership increase employee engagement and reduce resistance, while ethical leadership strengthens trust, fairness, and sustainability. Organizational readiness is also shaped by systemic factors such as regulations, culture, and resources. Developing countries often face challenges due to limited infrastructure, while developed countries benefit from stronger policy and technological support. These dynamics underscore the interdependence of leadership and systemic environments in shaping digital outcomes. In conclusion, leadership styles are decisive in shaping digital readiness, but their effects differ by sector and region. Policy support, leadership training, and organizational reforms are needed to overcome barriers and achieve inclusive digital transformation. Future research should focus on long-term impacts, contextual variations, and integrative leadership frameworks to ensure sustainable and inclusive digital transformation.
Predictive Analytics and Strategic Banking Performance: The Critical Impact of Organizational Readiness Utomo, Bekti; Wahidah, Nurul Jannatul; Wisudawati, Tri
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i3.1105

Abstract

Predictive analytics (PA) has become a cornerstone of digital transformation in banking, offering tools for improved decision-making across risk, marketing, and operations. This study investigates the moderating role of organizational readiness—comprising infrastructure, talent, and culture—on the relationship between PA adoption and strategic performance in banks. A cross-sectional survey of 50 banking institutions was conducted, measuring predictive analytics usage, organizational readiness scores, and key financial performance indicators such as Return on Assets (ROA), Non-Performing Loans (NPL), and cost-to-income ratios. Using hierarchical regression and interaction analysis, findings reveal that while PA adoption positively influences strategic performance, its impact is significantly enhanced in institutions with high organizational readiness. Institutions with stronger infrastructure, better-trained staff, and supportive analytics cultures reported higher returns from analytics initiatives. These results underscore the importance of socio-technical alignment in unlocking the full potential of predictive analytics. Banks are encouraged to view PA not as a standalone technological tool but as part of a broader transformation requiring cultural, structural, and strategic integration.
Green Technology Innovation and Sustainable Performance: A Resource-Based Mediation Model of Circular Economy Adoption Noviany, Henny; Safri
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i3.1106

Abstract

This study investigates how Green Technology Innovation (GTI) enhances Sustainable Business Performance (SBP) through the mediating role of Circular Economy (CE) practices, offering an integrative framework that addresses firm-level sustainability strategy. A quantitative, cross-sectional survey was conducted among 250 manufacturing firms. Using validated instruments, data were collected on GTI activities, CE implementation, and SBP outcomes. Structural Equation Modeling–Partial Least Squares (SEM-PLS) was employed to test direct and indirect relationships, with bootstrapping applied to assess mediation effects.Findings reveal that GTI positively influences both CE adoption (β = 0.64, p < 0.001) and SBP (β = 0.32, p < 0.01). CE also directly enhances SBP (β = 0.58, p < 0.001) and partially mediates the GTI–SBP relationship (indirect β = 0.37, p < 0.001). Sectoral and geographic variations in adoption were noted, with larger and high-tech firms demonstrating higher engagement. The results validate the Natural Resource–Based View (NRBV), indicating that firms with integrated GTI–CE strategies gain competitive and environmental advantages. CE was found to serve as both a performance enabler and a resilience mechanism. GTI and CE are complementary strategies for achieving SBP. Firms should embed CE into their innovation strategies to maximize outcomes. Policymakers are encouraged to promote supportive regulatory and fiscal environments. Future studies should explore longitudinal effects and sector-specific dynamics.
Agility as a Strategic Enabler: Unpacking the Digital Transformation–Performance Nexus in Healthcare Zulfikri, Agung
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i3.1107

Abstract

Healthcare organizations are undergoing rapid digital transformation (DT), incorporating technologies such as AI, IoT, and telemedicine. However, technological adoption alone does not guarantee improved outcomes. This study investigates the mediating role of organizational agility in the relationship between DT and competitive advantage, aiming to understand how agility enables healthcare institutions to realize the full potential of digital investments. A cross-sectional quantitative design was employed, surveying 250 healthcare professionals from public and private hospitals. Constructs included digital transformation (measured by technology adoption), organizational agility (responsiveness, adaptability), and competitive performance (efficiency, innovation, satisfaction). Data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with bootstrapping (n = 5000) used to test mediation effects. The results revealed that private hospitals reported higher DT scores (72.3) than public hospitals (56.5). Organizational agility emerged as a significant mediator in the DT–performance relationship. Path coefficients confirmed: DT → Agility (β = 0.61, p < 0.001) Agility → Competitive Advantage (β = 0.68, p < 0.001) DT → Competitive Advantage (Direct: β = 0.29, Indirect via Agility: β = 0.41). Agility was found to enhance responsiveness, enable real-time adaptation, and foster innovation. Organizations with higher agility demonstrated superior operational efficiency and patient satisfaction. The findings align with dynamic capabilities theory, which positions agility as essential for navigating digital disruption. Organizational agility is a foundational capability for translating digital transformation into strategic advantage in healthcare. Leaders must invest in agile structures, training, and culture to fully leverage digital tools. This study contributes to the literature by empirically validating agility’s role in digital healthcare strategy and offers a framework for future implementation and evaluation.

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