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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. 2 (2024): April 2024" : 5 Documents clear
Islamic Crowdfunding And Sustainable Msme Management In Indonesia: The Effects Of Organisational Orientation Rhetoric, Fund Effectiveness, And Financial Capability On Crowdfunding Success And Performance Susiang , Maria Imelda Novita
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.v2i2.251

Abstract

This study delves into Sharia-compliant crowdfunding's dynamics and its impact on the long-term sustainability of Micro, Small, and Medium-Sized Enterprises (MSMEs) in Indonesia. It investigates how factors like fund efficacy, financial capabilities, and organizational orientation rhetoric influence crowdfunding success and subsequent business performance. Utilizing Structural Equation Modeling (SEM) with Partial Least Squares (PLS), data from MSME owners, managers, and crowdfunding platform administrators is analyzed. The findings reveal significant positive correlations between organizational orientation rhetoric, fund efficacy, financial capability, crowdfunding success, and business performance. Key contributors to crowdfunding success include financial capacity, fund efficacy, and organizational orientation rhetoric, all of which also positively influence business performance. Mediation analysis further illustrates how crowdfunding success mediates the relationships between organizational orientation rhetoric, fund effectiveness, financial capabilities, and business performance. This study underscores the advantages of Sharia-compliant crowdfunding for Indonesian MSMEs, such as improved access to capital, enhanced business performance, strategic organizational focus, effective crowdfunding platforms, supportive policies, and increased investor trust fostered by transparency and accountability.
Digital Leadership Agility as a Strategic Lever for Organizational Resilience in Multinational Corporations Hermansyah, Heri; Zakaria, Ricky Muhamad; Abdurrohman
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.v2i2.847

Abstract

The accelerating pace of digital transformation, globalization, and technological disruption underscores the importance of Digital Leadership Agility (DLA) in multinational corporations (MNCs). This study examines the influence of DLA on Organizational Resilience (OR) through strategic alignment and dynamic capabilities, while also considering the moderating roles of national digital competitiveness and organizational stagility.  A cross-sectional survey covering business units from multiple industries in the Asia-Pacific, European Union, and North America was conducted. Using validated measurement scales, the study applied Structural Equation Modeling (SEM) and Hierarchical Linear Modeling (HLM) to test mediation, moderation, and cross-cultural comparability. The results show that DLA significantly enhances OR through strategic alignment and dynamic capabilities, with stronger effects in high-technology industries. National digital competitiveness and organizational stagility further strengthen these relationships, indicating threshold effects of infrastructure and capability. The findings also highlight the relevance of organizational culture and resources, and emphasize the need to balance agility and stability. Practical implications include decentralizing decision making, fostering cross-functional collaboration, and tailoring leadership training to industry and cultural contexts. Overall, DLA emerges as a critical driver of OR by integrating digital transformation with adaptive leadership practices. Organizations should embed DLA in leadership development and design structures that balance responsiveness with cohesion. For policymakers, especially in digitally emerging economies, investing in leadership capacity, innovation ecosystems, and infrastructure is essential to enhance competitiveness and ensure sustainable growth.
Strategic Roadmapping for AI Integration in Multinational Retail: Governance, Change Management, and Performance Outcomes Judijanto, Loso
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.v2i2.848

Abstract

The adoption of Artificial Intelligence (AI) in the retail sector has become a crucial driver of transformation, enabling new forms of customer engagement and operational efficiency. This study investigates strategic roadmapping for AI integration in multinational retail by applying the Technology–Organization–Environment (TOE) framework. The research specifically addresses the gap in understanding how governance mechanisms and change management practices shape sustainable AI adoption across diverse markets. The study employs a mixed methodological approach, combining multi-case qualitative analysis with longitudinal data and quantitative performance metrics. Data include industry benchmarks, customer engagement indicators, operational efficiency measures, and revenue outcomes. This design allows the assessment of AI’s influence on both customer-facing innovations and backend optimizations. Findings indicate that phased AI adoption, clear governance, and measurable KPI milestones are essential to move from pilot projects to full-scale deployment. Case evidence highlights benefits such as revenue gains through personalization, improved supply chain efficiency, and margin enhancement. Challenges including model drift, bias, and talent shortages are also identified, along with strategies for mitigation such as continuous monitoring and targeted upskilling. The study concludes that scaling AI requires balancing innovation with ethical and regulatory compliance. Effective change management, strong stakeholder engagement, and a culture of continuous learning are crucial to maintain momentum. Importantly, the lessons from retail AI adoption are transferable to other industries such as healthcare, finance, and education. Findings indicate that phased AI adoption, clear governance, and measurable KPI milestones are essential to move from pilot projects to full-scale deployment. Case evidence highlights benefits such as revenue gains through personalization, improved supply chain efficiency, and margin enhancement. Challenges including model drift, bias, and talent shortages are also identified, along with strategies for mitigation such as continuous monitoring and targeted upskilling.
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.

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