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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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Building Resilience in High Technology Projects: An Integrated Multi Framework Risk Management Approach Mubarok, Ahmad; Yuda, Fardan Zeda Achmadi
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.v3i2.860

Abstract

High-technology projects face rapidly evolving risks across technical, organizational, and regulatory domains, creating challenges that single-framework governance often cannot fully address. This study proposes an integrated multi-framework risk management approach, combining governance-level (e.g., ISO 31000), domain-specific (e.g., ISO/IEC 27005, NIST SP 800-53, NIST AI RMF), and execution-level tools (e.g., SAFe ROAM, NASA NPR 8000.4C). Unlike prior studies that apply frameworks in isolation, this research evaluates a layered integration model designed to improve risk coverage, mitigation speed, and compliance readiness. Using framework mapping, Fuzzy Multi-Criteria Decision Making (MCDM), House of Risk (HOR) analysis, and Monte Carlo simulations, the findings show that integrated governance achieves broader protection, reduces closure times for high-velocity risks, and raises audit pass rates above 90%. The novelty of this study lies in offering a practical governance blueprint that reconciles overlapping standards while tailoring protections for AI, cloud computing, and mission-critical systems. Beyond technical improvements, the model aligns organizational risk appetite with operational practices, fostering resilience and agility.
Strategic Valuation of Generative AI in Retail: A Real Options Approach to Managing Innovation Uncertainty Yuda, Fardan Zeda Achmadi; Wibowo, Untung Lestari Nur
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.v3i2.861

Abstract

Generative Artificial Intelligence (AI) is reshaping retail investment strategies, yet traditional evaluation tools such as Net Present Value (NPV) and Internal Rate of Return (IRR) struggle to capture uncertainty and flexibility. This study applies a binomial lattice real options model to assess Generative AI investments in retail, demonstrating that real options provide a more adaptive framework than conventional methods. The model evaluates multi-stage decisions pilot testing, regional scaling, and enterprise adoption and incorporates sensitivity analyses to account for adoption probabilities and volatility scenarios. Results indicate that real options modeling captures strategic flexibility by valuing managerial discretion, phased rollouts, and intangible benefits, which static NPV models overlook. This highlights its relevance for addressing retail-specific challenges such as data integration and organizational readiness. The study concludes that real options offer a superior framework for evaluating AI investments, supporting adaptive planning and long-term strategic value for retailers.
Beyond Technology: Strategies for Managing Digital Transformation in Traditional Sectors Zulfikri, Agung; Prayitno, Hadi; Yuda, Fardan Zeda Achmadi
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i1.998

Abstract

Digital transformation has become a defining force in reshaping traditional industries, yet its successful implementation requires navigating complex technological, organizational, economic, and regulatory challenges. This study presents a narrative review aimed at synthesizing existing literature on change management strategies in digital transformation across sectors such as manufacturing, healthcare, agriculture, and energy. Literature was collected through databases including Scopus, Web of Science, PubMed, and Google Scholar, using targeted keywords such as digital transformation, traditional industries, change management strategies, Industry 4.0, and sustainability. The review analyzed empirical studies, case studies, and theoretical contributions published between 2015 and 2025. Findings reveal that technologies like artificial intelligence, Internet of Things, blockchain, and digital twin systems enhance operational efficiency and sustainability but face barriers related to resource constraints, cultural resistance, and fragmented regulatory frameworks. Organizational factors, particularly leadership vision and employee skills development, emerge as central to overcoming resistance and enabling adoption. Economic disparities between large firms and SMEs remain a significant challenge, while supportive public policies and international regulatory harmonization play critical roles in facilitating progress. The discussion highlights systemic social, economic, and political influences on digital adoption and underscores the importance of continuous training, public-private partnerships, and adaptive policies as strategies to address persistent challenges. The study concludes that digital transformation is both a technological and socio-economic imperative, requiring coordinated strategies and context-sensitive approaches to achieve sustainable and inclusive outcomes.
Ethical and Organizational Dimensions of AI in Strategic Innovation Mubarok, Ramdanil; Mubarok, Ahmad; Zulkarnain, Ahnis
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i1.999

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in strategic innovation management, reshaping decision-making, competitive advantage, and long-term strategies. This narrative review aims to synthesize evidence on AI’s role in fostering innovation while addressing the challenges of its adoption. Literature was systematically retrieved from major academic databases including Scopus, PubMed, and Google Scholar, using targeted keywords such as Artificial Intelligence, Strategic Innovation Management, Predictive Analytics, and Dynamic Capabilities. Inclusion criteria prioritized peer-reviewed studies published between 2014 and 2025 in English, with exclusions applied to non-empirical and non-accredited sources. The findings reveal that AI enhances organizational competitiveness through predictive analytics, optimizes innovation processes in the Fuzzy Front End, and supports long-term strategies when integrated with blockchain and the Internet of Things. Comparative perspectives demonstrate that developed countries leverage robust infrastructure for rapid adoption, while developing nations increasingly use AI-driven mobile solutions to overcome traditional barriers. However, persistent challenges including privacy concerns, data security risks, and algorithmic bias threaten equitable adoption, with organizational dynamic capabilities emerging as crucial determinants of success. Policy implications emphasize the need for regulatory frameworks, investment in digital infrastructure, and workforce reskilling. Future research should address underexplored contexts such as small and medium-sized enterprises and conduct longitudinal studies to assess AI’s enduring impact on organizational resilience. Overall, AI’s transformative potential can only be realized through responsible, context-sensitive, and ethically informed strategies that balance innovation with sustainability.
Big Data in Context: A Narrative Review of Opportunities, Barriers, and Global Perspectives Achaddiah, Bella Noer; Safri
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i2.1000

Abstract

This narrative review examines the transformative role of big data in organizational performance, predictive analytics, and smart manufacturing, while highlighting disparities in adoption between developed and developing economies. Literature was collected from major databases (Scopus, Web of Science, PubMed, and Google Scholar) using rigorous criteria to ensure methodological validity. Findings reveal that big data improves decision-making, efficiency, and risk management, with digital twin technologies enhancing reliability in manufacturing. However, barriers remain, including infrastructure gaps, skill shortages, resistance to change, and data governance challenges—especially among SMEs and rural communities. The review underscores the need for targeted policy interventions and cross-sector collaborations to close these gaps. Its unique contribution lies in synthesizing global disparities and offering integrative strategies for inclusive, sustainable big data adoption.
Business Analytics as a Strategic Resource for Innovation: A Comprehensive Review Juwari; Marthalia, Lia; Widayat, Tri Agung; Andrianto, Deny Tomy
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i2.1001

Abstract

This study provides a narrative review of the role of business analytics in driving organizational innovation performance. The purpose is to synthesize current empirical and theoretical contributions with a focus on organizational capabilities, market dynamics, leadership, culture, and global perspectives. Literature was identified through major databases (Scopus, Web of Science, PubMed, and IEEE Xplore) with inclusion criteria emphasizing peer-reviewed studies from the last decade. Findings highlight four key insights: organizational capabilities mediate the translation of analytics into innovation; market dynamism moderates its effectiveness; leadership and culture are decisive in embedding analytics; and adoption disparities persist between developed and developing economies. The review concludes that business analytics strengthens strategic agility and sustainable competitiveness, though barriers such as data quality, infrastructure, and ethics remain. Future research should explore longitudinal impacts, small and medium enterprises, and cross-country comparisons to optimize analytics-driven innovation.
Green Technology Integration and Circular Economy Pathways for Sustainable Innovation Siswadhi, Tamara Maharani; Fajrin, Noer; Jakfar; Mubarok, Ahmad; Hariri, Ahmad
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i3.1002

Abstract

This study examines the integration of green technologies into circular economy systems as a pathway to advancing sustainable innovation. The objective was to synthesize existing literature to identify key strategies, challenges, and implications across diverse industrial and geographical contexts. A narrative review methodology was employed, drawing on peer-reviewed sources indexed in Scopus, Web of Science, and Google Scholar. The results highlight four main themes: product design and eco-innovation, renewable energy and photovoltaics, biomaterials and lignin applications, and sustainable business models. Evidence shows that lifecycle assessment tools and decision-making frameworks enhance eco-design. Advancements in solar technologies promote decarbonization but face storage and recycling challenges. Lignin valorization offers significant promise yet is constrained by technical and scalability issues. Circular business models provide systemic benefits, but their effectiveness varies depending on regulatory environments, cultural acceptance, and financial structures. The review concludes that strengthening design strategies, renewable energy deployment, biomaterial innovations, and business model adaptation are essential to overcoming systemic challenges and achieving sustainable economic transitions.
Building Resilient Start-up Ecosystems in the Digital Era: A Narrative Review Slamet, Asep Gunawan; Achaddiah, Bella Noer; Yuni T, Veronika
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i3.1003

Abstract

This narrative review explores the critical factors influencing the growth and resilience of technology-driven start-ups in the digital era. Literature was systematically collected from Scopus, Web of Science, and Google Scholar, covering peer-reviewed studies from 2010 to 2025. Thematic analysis and bibliometric mapping were employed to synthesize findings across diverse contexts. Results show that funding access, supportive regulation, and strong networks remain fundamental pillars for entrepreneurial success. Entrepreneurship education that integrates digital competencies and experiential learning strengthens entrepreneurial capacity, while digital technologies such as artificial intelligence, the Internet of Things, and blockchain underpin disruptive business models that enhance competitiveness. However, persistent barriers exist, including gender inequality in access to resources and technostress among founders, underscoring the need for inclusivity and well-being support. Comparative analysis reveals that advanced economies benefit from robust infrastructure and funding mechanisms, while developing regions, despite resource constraints, demonstrate adaptive localized innovations. The review highlights the importance of coordinated policy, education, and practice in creating equitable and resilient ecosystems. Strengthening financial access, regulatory clarity, digital infrastructure, gender inclusivity, and well-being initiatives emerges as a strategic priority for fostering sustainable technology-driven entrepreneurship.
Digital Transformation through Big Data: Implications for Global Product Development Sunandar
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.v2i4.1005

Abstract

Big Data and Predictive Analytics (BDPA) have emerged as transformative forces in product development, creating opportunities to enhance innovation, efficiency, and resilience. This review highlights BDPA’s contributions to value creation by improving customer insights, optimizing design, strengthening operational efficiency, and mitigating risks. It synthesizes empirical and conceptual studies from multidisciplinary databases to demonstrate how BDPA shapes competitiveness across sectors. Comparative findings reveal adoption disparities between advanced and emerging economies, where infrastructural and skill-related constraints limit effectiveness. Addressing these barriers requires investment in human capital, cross-departmental collaboration, and supportive policy frameworks. Future research should prioritize longitudinal and sector-specific approaches to better capture BDPA’s sustained impacts and contextual dynamics.
Digital Collaboration in Distributed Teams: Innovation, Productivity, and Global Perspectives Hermansyah, Sam; Faradillah, Nurul
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.v3i1.1006

Abstract

The shift to remote work following the COVID-19 pandemic has accelerated reliance on digital collaboration tools, fundamentally transforming organizational practices. This study conducts a narrative review to examine how such tools support productivity, communication, and innovation within distributed teams. Literature was systematically gathered from Scopus, Web of Science, and Google Scholar, using targeted keywords and inclusion criteria to capture peer-reviewed research from the past five years. The synthesis integrates quantitative and qualitative evidence across sectors and regions, emphasizing both technological and human dimensions of remote collaboration. Results indicate that platforms such as Microsoft Teams, Slack, and Zoom enhance efficiency and foster innovation, with studies reporting measurable productivity gains in teams adopting these tools. Emotional intelligence and transformational leadership emerge as critical in sustaining team cohesion and mitigating stress in virtual environments. Global comparisons reveal disparities, with advanced economies benefiting from stronger infrastructure and supportive policies, while developing countries face heightened challenges due to limited access and cultural constraints. Discussion highlights systemic factors, including policy frameworks, organizational culture, and digital infrastructure, as determinants of success. The review concludes by recommending policy support for infrastructure development, continuous digital training, and leadership practices grounded in emotional intelligence. These strategies are essential to addressing current limitations and ensuring sustainable remote collaboration. The study identifies opportunities for future research on cross-cultural dynamics, long-term outcomes, and organizational-level innovation.

Page 3 of 5 | Total Record : 44

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