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A Mathematical Model for Blockchain Adoption in High-Risk Asset Management Miftahol Arifin; Elisa Kusrini; Winda Nur Cahyo; Imam Djati Widodo
JURNAL INFOTEL Vol 18 No 2 (2026): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i2.1544

Abstract

This study develops and empirically validates a mathematical adoption model for blockchain-based information systems using an Extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Previous blockchain adoption studies predominantly assessed behavioral determinants through isolated hypothesis testing, with limited efforts to integrate contextual factors into a unified structural model. To address this gap, the proposed framework incorporates blockchain-specific and organizational constructs, including trust and perceived security, operational resilience expectation, technology adaptability, and regulatory compliance, along with the core UTAUT dimensions. A quantitative, explanatory, and cross-sectional design was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to estimate model parameters from survey data collected from 132 professionals operating in high-risk power plant asset management environments. The model explains 68.9% of the variance in behavior intention and 42.0% of actual system use. Trust and perceived security emerged as the strongest predictor of behavioral intention, followed by performance expectation and operational resilience expectation. The findings demonstrate the suitability of Extended UTAUT for mathematically representing the adoption behavior of blockchain in high-risk organizational settings and provide a transferable analytical framework for future studies of the adoption of blockchain-based information systems.
Perspective and modeling requirement on household solid waste management Aswan Munang; Hari Purnomo; Winda Nur Cahyo; Imam Djati Widodo
Mechanical Engineering for Society and Industry Vol. 6 No. 1 (2026): Issue in Progress
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.14267

Abstract

Rapid economic and population growth, urbanization, and resource overexploitation have intensified household solid waste generation, creating serious environmental challenges, particularly in developing countries. Despite various efforts, waste management systems remain inadequate, hindered by poor infrastructure, limited recycling practices, and insufficient disposal facilities. However, existing models often overlook the behavioral dimension of waste generation. This study aims to identify and assess critical factors influencing the development of effective household waste management by integrating food practices into the Theory of Planned Behavior (TPB), thereby addressing a significant theoretical gap. A systematic literature review of 78 peer-reviewed articles published between 2014 and 2024 was conducted to extract key influencing factors and conceptual models. The created model concept will be evaluated using the Analytical Hierarchy Process (AHP) based on expert judgment to determine the relative importance of each variable. Five experts were selected using purposive sampling from four stakeholder entities: academia, government, industry, and community. The analysis revealed 11 interrelated factors, with pro-environmental behavior (23.8%), government policy (18.7%), and public attitude (14.8%) emerging as the most influential. The findings highlight that behavioral change, supported by robust policy frameworks, is essential for enhancing household-level waste management. This study offers a comprehensive decision-support model that integrates behavioral, institutional, and technological interventions, providing actionable insights for policymakers and practitioners in promoting sustainable consumption and waste reduction practices.