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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. 2 (2025): April 2025" : 5 Documents clear
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.
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
Synergizing Design Thinking and Lean Enablers for Adaptive Product Innovation in Servitized Manufacturing Noviany, Henny; Soderi, Ahmad
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.v3i2.1104

Abstract

The increasing shift toward servitization in manufacturing necessitates adaptive innovation models that blend customer-centric and process-efficient methodologies. This study investigates how the strategic integration of Design Thinking (DT) and Lean Enablers influences adaptive New Product Development (NPD) capabilities in manufacturing firms undergoing servitization. A mixed-methods approach was employed, combining survey data from 100–150 manufacturing firms with qualitative interviews. Key variables DT practices, Lean Enabler adoption, and adaptive NPD performance were operationalized using validated instruments. Data analysis involved regression modeling and structural equation modeling to explore mediation effects. Findings reveal that the combined adoption of DT and Lean practices leads to significant improvements in NPD performance metrics, including reduced time-to-market, lower post-launch defect rates, higher customer satisfaction (NPS), and greater readiness for servitization. Lean Enablers such as Obeya, cadence-based design reviews, and knowledge reuse were found to mediate the relationship between DT and NPD adaptability, enhancing both learning and operational efficiency. Organizational culture, leadership commitment, and cross-functional collaboration were identified as critical enablers of successful DT–Lean integration. This research offers a robust empirical and conceptual framework for integrating DT and Lean in manufacturing contexts. It contributes to the literature by validating measurement instruments and demonstrating their predictive value for adaptive innovation performance. The findings are especially relevant for firms aiming to enhance strategic agility and sustain competitive advantage in rapidly evolving markets.

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