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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 44 Documents
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Strategic Enablers of ROI in Data Driven Marketing: The Role of Leadership, Culture, and BI Maturity Widayat, Tri Agung; Toja, Andi Batari
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i1.858

Abstract

This study investigates how data-driven marketing practices influence return on investment (ROI), focusing on the organizational enablers that shape their effectiveness. While the rapid growth of big data and analytics offers firms new opportunities, many struggle to translate these resources into measurable financial outcomes. This research addresses this gap by examining how leadership orientation, cultural readiness, and business intelligence (BI) maturity enhance the effectiveness of data-driven strategies in improving ROI.  Using a mixed-methods approach, the study combines survey data with illustrative case studies to uncover how firms align data strategies with performance outcomes. Case evidence, such as Hugo Boss’s €15 million investment in data infrastructure, is used to complement the quantitative results and illustrate practical relevance.  Findings show that predictive analytics and self-service BI can substantially increase ROI compared to traditional marketing methods. Their effectiveness is strengthened when supported by transformational leadership, a strong data culture, and organizational learning. Moreover, firms with mature BI systems demonstrate greater agility in responding to market changes, while competitive industry conditions further amplify the benefits of data-driven strategies. This study contributes a comprehensive model linking data strategies, organizational enablers, and financial performance. It offers practical insights for managers seeking to maximize the value of analytics investments through strategic alignment, cultural transformation, and committed leadershi.
Digital Servant Leadership and Public Innovation: The Mediating Role of Cultural Values in Indonesian State Owned Enterprises Nursaid; Qomariah, Nurul; Utomo, Bekti; Wahidah, Nurul Jannatul; Wisudawati, Tri
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i4.862

Abstract

This study examines how digital servant leadership (DSL) influences hackathon innovation performance in Indonesian State-Owned Enterprises (SOEs), with a focus on the mediating role of AKHLAK cultural values. Amidst ongoing digital transformation, SOEs have embraced DSL as a leadership style that emphasizes inclusivity, empowerment, and ethical service delivery. The study utilizes a mixed method approach comprising descriptive statistics and Structural Equation Modeling using Partial Least Squares (PLS SEM) to analyze quantitative and qualitative data gathered between November 2023 and January 2024. Key findings reveal that DSL significantly enhances innovation outcomes by fostering a psychologically safe, collaborative environment essential for successful hackathon execution. The presence of AKHLAK values Amanah, Kompeten, Harmonis, Loyal, Adaptif, and Kolaboratif strengthens cultural alignment, acting as a mediator that links leadership behaviors to employee engagement and innovation performance. Hackathons hosted by SOEs demonstrate varied formats, scales, and domains, yet all share critical success factors such as structured mentorship, inclusive participation, and strong post event support systems. The analysis of measurement and structural models shows robust construct validity and reliability across all latent variables. Convergent and discriminant validity meet accepted thresholds, while predictive relevance and model fit indices confirm the soundness of the proposed framework. Statistical mediation effects highlight the transformative impact of AKHLAK in linking DSL to performance gains in public service innovation. These findings contribute to public sector leadership theory and practice by proposing a replicable framework that combines digital servant leadership, AKHLAK-based cultural alignment, and participatory innovation formats. The Indonesian experience offers insights for other developing nations seeking to embed ethical leadership into digital transformation agendas. By institutionalizing values and enabling employee driven innovation, SOEs can better navigate complex governance landscapes while delivering measurable public value.
Unlocking Blockchain’s Potential in Innovation Ecosystems: A Narrative Review S, Uma
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i4.1004

Abstract

Blockchain technology has emerged as a transformative enabler in innovation management. It offers new opportunities for enhancing transparency, improving efficiency, and fostering trust across diverse sectors.. This narrative review aims to synthesize existing literature on blockchain adoption, exploring its applications in supply chains, finance, public administration, and Industry 4.0, while analyzing systemic barriers to implementation. Literature searches were conducted across major databases such as Scopus, Web of Science, and Google Scholar using a structured methodology that employed primary and secondary keywords combined with Boolean operators. Inclusion criteria emphasized peer-reviewed studies from the past decade, encompassing both qualitative and quantitative approaches. The findings highlight blockchain’s role in enhancing supply chain traceability, reducing transaction costs, improving access to financial services, and strengthening governance models through decentralized systems. Integration with Industry 4.0 technologies further demonstrates blockchain’s capacity to improve efficiency, sustainability, and knowledge management. However, adoption remains constrained by technical complexity, scalability challenges, cultural resistance, and regulatory uncertainties. Comparative evidence underscores disparities between developed and developing economies, with the former focusing on high-value applications and the latter emphasizing accessibility and inclusion. The discussion emphasizes the need for supportive regulatory frameworks, capacity-building initiatives, and incentives for early adopters. Future research should address gaps through longitudinal, cross-industry, and sociotechnical studies to provide holistic insights into blockchain’s long-term implications. The study concludes that education, collaboration, and clear governance structures are central strategies to overcoming barriers and unlocking blockchain’s transformative potential for innovation management.
Knowledge Management Practices in Open Innovation Networks: Strategies, Barriers, and Global Perspectives Mubarok, Ramdanil
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i1.1007

Abstract

This study examines the role of knowledge management (KM) in enabling open innovation (OI) networks. The review synthesizes existing literature and analyzes the systemic barriers that constrain effective KM practices. A systematic narrative review methodology was adopted, drawing on peer-reviewed studies from databases including Scopus, Web of Science, Google Scholar, and PubMed. Keywords such as “knowledge management,” “open innovation,” “digital platforms,” and “communities of practice” guided the literature search. The findings reveal three dominant themes: the integration of digital technologies to facilitate knowledge sharing, the establishment of collaborative environments through Communities of Practice, and the importance of organizational adaptability in dynamic contexts. Organizational, technological, and cultural factors strongly influence KM effectiveness, with significant variation across regional contexts. Developed economies benefit from robust infrastructures, while developing regions face resource constraints that limit participation in innovation networks. Comparative insights highlight best practices such as corporate accelerators, digital collaboration platforms, and multicultural leadership training. This review concludes that advancing KM in open innovation requires investments in digital infrastructure, inclusive leadership, and collaborative frameworks
The Role of Internet of Things in Smart Business Decision-Making: A Narrative Review Liantifa, Melifia; Hendra; Sekianti, Atik
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i2.1024

Abstract

The Internet of Things (IoT) has emerged as a critical driver of smart business decision-making, enabling organizations to enhance efficiency, transparency, and responsiveness across industries. This narrative review examines the integration of IoT into business systems, focusing on its contributions to Enterprise Resource Planning (ERP), marketing strategies, sustainability leadership, smart environments, and sector-specific applications in agriculture, education, and healthcare. Literature was systematically collected from Scopus, Web of Science, and Google Scholar, using targeted keywords and Boolean operators. Inclusion criteria prioritized peer-reviewed studies that examined IoT in relation to business decision-making, resulting in a dataset of empirical and conceptual research published between 2018 and 2024. Findings reveal that IoT enhances decision-making accuracy through ERP integration, strengthens marketing strategies by enabling real-time consumer insights, and supports sustainability leadership by advancing Environmental, Social, and Governance (ESG) practices. In addition, IoT facilitates the development of smart environments that leverage big data and artificial intelligence for predictive analytics. Sectoral evidence confirms IoT’s effectiveness in improving agricultural productivity, optimizing educational management, and enabling remote healthcare monitoring. Nonetheless, critical systemic challenges persist, particularly cybersecurity threats such as data breaches, lack of common interoperability standards across IoT platforms, and infrastructural readiness gaps in regions with limited digital capacity. These barriers highlight the need for supportive policies, investment in digital infrastructure, and organizational cultures receptive to technological change. Future research should focus on empirical validation of IoT’s impact on managerial decision quality and explore cross-sectoral comparisons to enrich theoretical and practical understanding. By addressing these challenges, IoT can fulfill its promise as a transformative enabler of sustainable and innovative business strategies.
Adaptive Governance and Collaborative Innovation in Global Sustainability Contexts Safri
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i2.1025

Abstract

This study examines the role of knowledge management (KM) in enabling open innovation (OI) networks. The review synthesizes existing literature and analyzes the systemic barriers that constrain effective KM practices. A systematic narrative review methodology was adopted, drawing on peer-reviewed studies from databases including Scopus, Web of Science, Google Scholar, and PubMed. Keywords such as “knowledge management,” “open innovation,” “digital platforms,” and “communities of practice” guided the literature search. The findings reveal three dominant themes: the integration of digital technologies to facilitate knowledge sharing, the establishment of collaborative environments through Communities of Practice, and the importance of organizational adaptability in dynamic contexts. Organizational, technological, and cultural factors strongly influence KM effectiveness, with significant variation across regional contexts. Developed economies benefit from robust infrastructures, while developing regions face resource constraints that limit participation in innovation networks. Comparative insights highlight best practices such as corporate accelerators, digital collaboration platforms, and multicultural leadership training. This review concludes that advancing KM in open innovation requires investments in digital infrastructure, inclusive leadership, and collaborative frameworks
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.
Cybersecurity and Innovation Risk Management: Organizational Responses in the Digital Era Noviany, Henny; Prasetyo, Karno Ganjar
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i4.1029

Abstract

The rapid pace of digital transformation has reshaped healthcare, finance, and energy sectors, creating opportunities for innovation while amplifying vulnerabilities to cyber threats. This narrative review synthesizes organizational responses to cybersecurity and innovation risk management across global contexts. Literature was systematically collected from Scopus, Web of Science, PubMed, and Google Scholar using defined keywords and inclusion criteria, with thematic synthesis guided by review standards. Four central themes emerged: (1) the effectiveness of secure access and identity management in protecting sensitive data, (2) the integration of artificial intelligence and blockchain in predictive modeling and threat detection, (3) measurable improvements in resilience through advanced technological adoption, and (4) the influence of systemic and structural factors, including governance frameworks and international collaboration. Evidence highlights disparities between developed and developing regions, where resource and infrastructure limitations hinder adoption. The discussion links findings with resilience theory while noting limitations such as the neglect of SMEs, dominance of Western perspectives, and reliance on secondary data. Policy implications emphasize capacity-building, harmonized frameworks, and innovation-driven cultures. Comprehensive, collaborative, and context-sensitive approaches are essential for advancing cybersecurity resilience in the digital era.
Bridging Research and Digital Strategy: A Narrative Review of R&D–IT Integration Pebriana, Yosi; Lovez, Gevin Rivauldy; Nurshandy, Aries; Nashrullah, Fahmi Rizqi; Azi, Rizal Ibrahim
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i4.1030

Abstract

The integration of research and development (R&D) with information technology (IT) strategies has become increasingly vital for high-tech firms in navigating global competition and rapid digitalization. This narrative review aims to evaluate how R&D–IT alignment influences innovation performance, organizational efficiency, and long-term competitiveness. A systematic narrative review approach was employed by analyzing peer-reviewed studies published in the last fifteen years that addressed R&D–IT interactions across various industries. The analysis focused on identifying key drivers, barriers, and systemic conditions shaping integration outcomes. Findings indicate that IT strategies consistently enhance R&D performance, demonstrated by increases in patent generation, shorter product development cycles, and improved customer satisfaction. Internal factors such as digital capabilities, transformational leadership, and innovation-oriented organizational culture further strengthen integration effectiveness. At the systemic level, supportive government policies, intellectual property protection, and stable regulatory frameworks provide enabling conditions for sustainable collaboration. Nevertheless, challenges including technological misalignment, cultural resistance, and limited infrastructure in developing economies remain significant obstacles. The implications of this review highlight the importance of policy incentives, workforce digital skill development, and stronger public–private collaborations to overcome systemic and organizational barriers. Future research should explore cultural and contextual dynamics in greater depth, particularly within emerging economies, to provide a more comprehensive understanding of how R&D–IT integration fosters sustainable innovation and competitiveness.

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