IAIC Transactions on Sustainable Digital Innovation (ITSDI)

Leveraging IPFS to Build Secure and Decentralized Websites in the Web 3.0 Era

2025-09-03T03:35:22+00:00

In recent years, Web 3.0 has gained significant attention due to its potential to create a more secure and decentralized internet. The background of this research lies in the growing demand for data privacy and security, which traditional Web 2.0 platforms fail to provide.The objective of this study is to explore how IPFS (InterPlanetary File System) can be leveraged to build decentralized websites that prioritize security and user privacy in the Web 3.0 ecosystem. The method involves a qualitative approach, including a case study where IPFS is utilized to develop a decentralized website, followed by a series of performance and security tests. The performance tests revealed that IPFS-based websites achieved a 99.2% uptime compared to 96.5% in traditional websites, and reduced server failure rates by approximately 35%. These quantitative results confirm that IPFS provides higher resilience against data breaches and server failures while reducing reliance on single points of failure. The conclusion drawn from this research indicates that IPFS is a promising technology for developing secure, decentralized websites in the Web 3.0 era, offering an enhanced user experience with improved privacy, data security, and scalability. The findings suggest that adopting IPFS for web development could pave the way for the next generation of decentralized applications, contributing to the ongoing transformation of the internet.

Integrating Artificial Intelligence in E-Learning for Organizational Well-Being through Orange Technology Mapping

2025-10-26T13:18:21+00:00

This study conducts a bibliometric analysis of Artificial Intelligence (AI) in e-learning, emphasizing its role in organizational well-being and educational transformation. Using Scopus as the primary database and VOSviewer for visualization, 557 articles published between 2020 and 2025 were analyzed across country, organization, source, author, document, and keyword networks. The results reveal that the United States, United Kingdom, and Germany act as central contributors, while India, Saudi Arabia, Singapore, Hong Kong, and Egypt are rapidly growing in influence. Source analysis identifies leading journals that shape the discourse alongside new outlets that diversify the field. Author and document coupling highlight key works that connect immersive learning environments with pedagogy, while keyword analysis identifies three major clusters related to ethics and governance, motivation and technology enhanced learning, and AI tools such as ChatGPT and generative AI. Overall, the findings show that AI in e-learning has evolved from experimental initiatives into a multidimensional, evidence-based domain. The study concludes by emphasizing how Orange Technology and TRAIVIS frameworks can operationalize ethics by design, support adaptive tutoring, and align AI-driven learning ecosystems with sustainable, well-being-centered educational goals.

The Strategic Role of Orange Technology in Cultivating Innovation and Well-Being

2025-10-26T13:41:48+00:00

This paper examines the integration of Orange Technology a human-centred paradigm advancing health, happiness, and care (H2O triad) within strategic management frameworks. While strategic management provides the processes of environmental scanning, formulation, implementation, and evaluation, Orange Technology introduces models that emphasize well-being as a strategic asset. Employing an exploratory conceptual design, this study synthesizes interdisciplinary literature across information technology, biomedical engineering, psychology, and cognitive sciences, and maps them against the established stages of strategic management. The analysis highlights the potential for Orange Technology to enrich strategic processes by embedding health and happiness indicators into value propositions, governance systems, and performance evaluation tools. A phenomenon-level gap persists, however, as empirical evidence on governance systems, interdisciplinary adoption, and performance measurement remains scarce. To bridge this divide, two propositions are advanced for embedding an Orange Index into Balanced Scorecard frameworks, and developing a Three-Dimensional Transformational Balanced Scorecard to evaluate human centred innovation. Finally, emerging applications such as TRAIVIS demonstrate how Orange Technology principles extend beyond healthcare into education, combining AI, blockchain, and human centred learning to foster innovation and societal well-being.

Assessing the Environmental and Economic Impact of Smart Grid Integration in Renewable Energy Management

2025-10-26T13:50:07+00:00

The global transition to renewable energy aims to reduce environmental impacts and combat climate change, yet challenges arise due to the intermittent nature of renewable sources, complicating their integration into traditional power grids and requiring advanced management solutions. Smart grid technology presents promising capabilities to optimize renewable energy management, promoting both environmental sustainability and economic efficiency. This study evaluates the environmental and economic impacts of smart grid integration, fo- cusing on carbon emission reductions, enhanced energy efficiency, and cost savings for energy providers and consumers. Using Structural Equation Modeling via SmartPLS, data were collected and analyzed from various stakeholders engaged in renewable energy and smart grid applications, allowing a detailed assessment of the relationships between smart grid integration, environmental outcomes, and economic benefits. Results indicate that smart grid integration significantly reduces carbon emissions and improves energy efficiency by over 30% while economically, it yields substantial cost savings, cutting operational expenses by up to 25% over time. The SmartPLS analysis confirms a positive relationship between smart grid deployment and both environmental and economic outcomes, highlighting that smart grids not only support emission reductions but also deliver considerable financial benefits in renewable energy management. These findings offer important insights for policymakers and industry stakeholders, emphasizing the role of smart grids in advancing sustainable and economically viable global energy systems.

Evaluating Cost Performance and Unit Rate Optimization in Surface Maintenance Operation (SMO) Earthwork Service Contracts

2025-10-26T12:47:17+00:00

The Surface Maintenance Operation (SMO) Construction Services Work Unit Rate Earthwork (WUR EW) project in the Rokan Block, Indonesia, utilizes a unit price contract model with hypothetical volumes. This contractual model transfers the risk of uncertain work quantities from the project owner to the contractor. This study aims to analyze the characteristics of this contract and formulate a secure strategy for preparing bidding prices and managing construction costs. The research employed a quantitative analysis of historical data from two work packages (Package 3 and Mitigation Package 3). The analysis was conducted through the calculation of Key Performance Indicators (KPIs) such as the Cost Performance Index (CPI) and Budget Variance (BV), as well as Cost and Quantity Variance Analysis per work item. The results indicate that both projects achieved excellent cost performance, exceeding the planned profit targets (Realized CPI > Planned CPI). The most effective strategy was to set a high profit percentage on the top 10 Earthwork & Civil items (the Pareto items), which experienced significant volume increases and were the main drivers of the total profit growth.

Analyzing Determinants of Consumer Purchasing Behavior toward Solar Panels in Indonesia

2025-10-26T14:16:51+00:00

The growing global emphasis on sustainable energy, combined with the relatively slow adoption of solar technology in Indonesia, underscores the necessity of understanding consumer purchasing behavior toward renewable energy products. This study aims to identify and analyze the determinants influencing consumer purchasing behavior toward solar panels in Indonesia using the SmartPLS approach. Data were collected through an online survey targeting individuals who are interested in or have previously purchased solar panels. The SmartPLS method was employed to examine the relationships among key variables, including perceptions of sustainability and environmental benefits, knowledge and information regarding solar panels, economic factors such as price and promotional strategies, and consumer demographic characteristics. The analysis revealed that sustainability perception, knowledge, and economic considerations significantly influence consumers purchase intentions. Furthermore, demographic variables such as age, income, and education were found to shape consumer attitudes and purchasing behavior. These findings offer valuable insights into the behavioral dynamics underlying solar panel adoption in Indonesia and provide practical implications for policymakers and industry stakeholders in designing effective marketing strategies and policy frameworks to accelerate renewable energy adoption nationwide.

Mapping the Nexus of Strategic Management and Sustainable Development Goals 12 with a Focus on Innovation: A Bibliometric Analysis

2025-10-25T15:13:25+00:00

This study aims to map the research landscape at the intersection of Strategic Management and Sustainable Development Goal (SDGs) 12: Responsible Consumption and Production, using bibliometric methods. A total of 94 articles published between 2015 and 2025 were analyzed using VOSviewer and Bibliometrix to identify key authors, countries, institutions, and thematic clusters. The results revealed four dominant keyword clusters: growth, strategy, innovation, and stakeholder integration. Notably, India emerged as a central player in global collaborations related to SDGs 12. Theoretically, this study extends the understanding of how technological and green innovations intersect within strategic management frameworks to foster sustainable consumption and production practices. Managerially, the findings suggest that organizations should invest in digital infrastructure, particularly in AI, IoT, and data analytics, and adopt cross-sector governance mechanisms to drive sustainability goals. Furthermore, embedding sustainability metrics into key performance indicators (KPIs) can create a competitive advantage while aligning with global sustainability agendas. This paper provides actionable insights for both researchers and managers seeking to integrate strategic innovation with SDGs 12.

Enhancing SMEs Business Performance Through Strategic Digital Transformation

2025-10-27T06:45:51+00:00

This study examines the role of digital transformation strategies in enhancing business management practices within Small and Medium Enterprises (SMEs) in Tangerang, Indonesia. SMEs in this region face ongoing challenges in adopting digital technologies, including limited financial resources, inadequate digital skills, and internal resistance to change, while increasing competition and rapid technological advancement demand adaptation to remain competitive. The purpose of this research is to analyze how digital transformation strategies cloud computing, digital marketing, automation, and data analytics affect business outcomes such as operational efficiency, customer engagement, and market competitiveness. A quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) based on survey data from 150 SMEs actively implementing digital initiatives in Tangerang. The findings show that cloud computing and data analytics significantly improve operational efficiency through workflow optimization and data-driven decision-making, while digital marketing and automation have a positive impact on customer engagement and competitive positioning. SMEs that adopt these strategies demonstrate enhanced management performance and stronger market responsiveness. The study offers empirical evidence supporting the strategic value of digital transformation for SMEs in emerging regions and highlights the importance of investment in digital capability building. These insights may guide SME leaders and policymakers in strengthening digital adoption to support sustainable economic development. Future research should incorporate longitudinal approaches to evaluate longterm impact and qualitative perspectives to better understand contextual challenges in digital transformation implementation.

Data-Driven Innovation for Circular Digital Economy in Sustainable Urban Development

2025-10-29T13:25:20+00:00

The rapid advancement of digital technology has transformed how cities innovate and sustain their growth, making data-driven innovation a crucial element in achieving sustainable urban development. This study aims to examine the integration of data analytics, artificial intelligence, and Internet of Things within the framework of a circular digital economy to promote smarter, greener, and more resilient cities aligned with the Sustainable Development Goals. Using a Systematic Literature Review method, the research collected and analyzed publications from 2015 to 2024 obtained from major academic databases such as Scopus, ScienceDirect, and IEEE Xplore. The results show that data accessibility, interoperability, and digital infrastructure enhance efficiency in energy, mobility, and waste management, while digital tracking supports circularity and resource optimization. Governance that applies human-centered design further ensures inclusivity and transparency in urban systems. Overall, the findings highlight that data serves not only as a technological asset but also as a strategic driver for sustainable transformation. The study concludes that integrating data-driven innovation with circular economy principles strengthens collaboration among governments, industries, and communities, enabling cities to achieve long-term sustainability and contribute effectively to global goals such as innovation, responsible consumption, sustainable cities, and climate action.

Business Artificial Intelligence for Enhancing Sustainable Decision Intelligence

2025-11-25T11:30:12+00:00

Business Artificial Intelligence (BAI) has become a key driver of organizational transformation, enabling advanced analytics, intelligent automation, and data-driven strategic decision-making. However, despite rapid technological progress, empirical research explaining how AI capability, algorithmic transparency, and task–technology alignment collectively shape Sustainable Decision Intelligence (SDI) within real business environments remains limited. To address this gap, this study introduces a novel BAI–SDI framework integrating AI Capability, Algorithmic Transparency, Task-Technology Fit (TTF), Decision Quality, and Sustainable Decision Intelligence as core constructs influencing long-term strategic and sustainable decision outcomes. Using a quantitative approach with Structural Equation Modeling–Partial Least Squares (SEM–PLS), survey data were collected from 402 professionals working in AI- integrated business sectors across Indonesia. The empirical results indicate that AI Capability significantly enhances Task-Technology Fit, while Algorithmic Transparency strongly predicts Decision Quality, emphasizing the importance of interpretability and accountability in trust-driven decision processes. Furthermore, Task-Technology Fit mediates the impact of AI Capability on Decision Quality, demonstrating that effective system-task alignment is essential for maximizing organizational value. The findings provide theoretical advancements by positioning SDI as an empirical extension of decision management theory and offer practical guidance for implementing ethical, transparent, and future-ready AI strategies within business environments. Overall, this study contributes actionable insights for strengthening governance and accelerating sustainable digital transformation in increasingly competitive and AI-driven decision ecosystems.