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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. 2 No. 1 (2024): January 2024" : 5 Documents clear
Exploring the Potential of Differentiated Instruction for Improving Literacy-Technology Integration in the Coffee Value Chain Maspul, Kurniawan Arif
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.v2i1.132

Abstract

The study looks into how individualized education might increase literacy-technology integration in the Saudi coffee value chain. The project intends to provide insights and recommendations for coffee educators, policymakers, and industry stakeholders by investigating the significance of literacy, differentiated education, technology integration, and relevant theories. The study investigates literacy-technology integration experiences, difficulties, and opportunities using qualitative methodologies such as observations and talks with industry experts. The findings emphasize the value of collaborative alliances, focused professional development, digital learning tools, research, and assessment mechanisms in increasing literacy-technology integration in the Saudi coffee sector. These initiatives have the potential to promote knowledge enhancement, innovation, and long-term growth in the sector.
Harmonised Regulation as a Catalyst for Cloud Driven Agility in Financial Services Institutions Meutia, Kardinah Indrianna; Rinaldo
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.v2i1.845

Abstract

Cloud adoption in financial services institutions (FSIs) is rising worldwide to improve efficiency, scalability, and innovation. This study investigates how regulatory frameworks, governance maturity, architectural strategies, and organisational culture affect business agility in FSIs using cloud technologies. The research applies a mixed-method design, combining cross-jurisdictional comparisons, case studies, and quantitative metrics. Data were drawn from regulations in the EU, UK, US, and APAC, alongside performance reports from leading FSIs. Indicators included compliance time, deployment frequency, latency improvements, and resilience after cloud migration. The findings show that harmonised regulation reduces compliance burdens, allowing faster technology deployment and innovation. Governance maturity embeds compliance into agile practices, while hybrid and multicloud architectures balance regulatory demands with performance. Proactive compliance checks, regulator engagement, and automation further enhance agility. A strong compliance culture enables responsible innovation. In conclusion, FSIs that combine harmonised regulation, mature governance, flexible architectures, and best practices can sustain agility. Treating compliance as a strategic capability helps institutions innovate, remain resilient, and stay competitive in a fast-changing financial sector
Strategic Alignment of Value Co Creation Models: A Comparative Analysis of Servitized Manufacturing and Pure Service Firms Jakfar
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.v2i1.846

Abstract

This study investigates the comparative dynamics of value co-creation models in servitized manufacturing firms and pure service firms. The research identifies sector-specific strategies that enhance innovation and competitiveness, with particular attention to governance, ecosystem engagement, and brand management practices. A mixed-methods approach was employed, combining secondary data analysis with a comparative framework grounded in Service-Dominant Logic (SDL) and the DART model. Four manufacturing co-creation models were evaluated against practices in service firms using metrics such as innovation velocity, customer retention, and revenue contribution. The findings show that in manufacturing, the Double High and Servitization Leading models deliver stronger performance when supported by ecosystem engagement and effective governance. Service firms, by contrast, thrive through broader networks, agility, and continuous interaction, enabling rapid adaptation and personalization. Across both sectors, governance mechanisms and brand coherence are critical to sustaining trust, efficiency, and alignment with customer expectations. The study concludes that co-creation is a sector-dependent strategic discipline. Tailored strategies, aligned with governance and ecosystem realities, can generate sustainable competitive advantages. Future research should examine how emerging technologies, cross-sector collaborations, and cultural contexts shape the evolution of co-creation models.
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.

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