Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal Novatio : Journal of Management Technology and Innovation Logistica : Journal of Logistic and Transportation
Andrianto, Deny Tomy
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Decision Sciences, Operations Research & Management Transportation

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Strategic Innovation Roadmapping in the Age of AI: A Framework for Competitive Advantage Pasa, Inda Tri; Andrianto, Deny Tomy
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.v3i1.859

Abstract

This study investigates how the quality of innovation roadmaps, moderated by organizational AI readiness and strategic maturity, shapes competitive advantage. Unlike prior studies that focus on either digital maturity or AI adoption alone, this research emphasizes the structural integrity of roadmaps clarity, adaptability, and alignment as a distinct driver of innovation performance in rapidly evolving technological environments. Methodologically, the study applies a conceptual–empirical design using 2023–2024 industry benchmarks and sector-neutral indicators. Anchored in the Dynamic Capabilities Theory and Resource-Based View, it hypothesizes that high-quality roadmaps, when mediated by AI readiness, accelerate time-to-market and enhance return on investment (ROI). Findings indicate that organizations employing digitally supported, high-quality roadmaps achieve up to 30% higher project success rates and 25% faster innovation cycles. Yet, these benefits are conditional realized only where infrastructure maturity, inclusive governance, and supportive policy frameworks exist. Persistent barriers, including organizational resistance, fragmented data systems, and regulatory complexity, constrain the broader realization of these outcomes. The study concludes that strategic roadmapping is most effective when framed as a systemic integration of tools, people, and policies. Its primary contribution is a scalable framework that aligns innovation planning with digital capability, offering firms both agility and resilience to sustain competitive advantage in volatile markets.
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.
Transportation Resilience under Climate Change: Infrastructure, Policy, Technology, and Social Dimensions Andrianto, Deny Tomy; Zulkarnain, Ahnis; Yuliantini
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.1067

Abstract

Resilience in transportation systems is increasingly critical as climate change intensifies the frequency and severity of natural disasters. This study aimed to synthesize existing research on strategies that enhance transportation resilience by examining infrastructure, policy frameworks, technological innovations, and socio-economic conditions. A narrative review methodology was employed, with literature collected from Scopus, PubMed, and Google Scholar using targeted keywords such as transportation resilience, natural disasters, infrastructure resilience, and disaster recovery. Inclusion criteria emphasized peer-reviewed empirical and modeling studies published between 2010 and 2025 that directly addressed transportation resilience. The review finds that strengthening physical infrastructure through adaptive design, improved drainage, and advanced engineering reduces vulnerability to floods and earthquakes. Policy frameworks and inter-agency collaboration provide systemic coordination, while technological innovations—including Internet of Things, Artificial Intelligence, and digital twin simulations—significantly enhance predictive capacity and accelerate recovery operations. However, socio-economic disparities remain a central challenge, with developing nations facing extended recovery periods due to limited resources and fragile infrastructure. Cross-country comparisons underscore the importance of aligning resilience strategies with local contexts while promoting global knowledge exchange. Methodological limitations in the literature highlight the need for more interdisciplinary approaches that integrate technical, social, and policy dimensions. Overall, this review demonstrates that a multidimensional approach combining infrastructure reinforcement, governance reforms, technological innovation, and community engagement is essential to strengthen transportation resilience. These findings carry important implications for policymakers, practitioners, and researchers seeking to develop sustainable and adaptive transport systems in the face of escalating disaster risks.
Co-Authors Daniel Happy Putra Marthalia, Lia Pasa, Inda Tri Widayat, Tri Agung Yuliantini Zulkarnain, Ahnis