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The Role of Generative Artificial Intelligence in the Success of Digital Project Management Hashim, Muntaha Manate
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13314

Abstract

General Background: Digital transformation has fundamentally altered administrative work through generative artificial intelligence (GAI), which enables human activity in developing novel content and creative solutions beyond existing paradigms. Specific Background: While GAI's theoretical frameworks are established globally, its integration with digital project management success within Arab administrative structures remains underexplored, particularly regarding how GAI dimensions interact with organizational efficiency. Knowledge Gap: Despite GAI's growing prominence, empirical evidence linking its specific dimensions—task definition, AI contribution, interaction methodology, AI structure, and human personality—to digital project management outcomes in developing economies is limited. Aims: This study investigates the relationship between GAI dimensions and digital project management success (organizational structure, technology, and digital innovation) among 188 employees at Iraq's Karbala Investment Authority using structural equation modeling. Results: GAI explains 43% of variance in digital project management success, with human personality (β=0.402), task definition (β=0.343), and AI contribution (β=0.278) showing significant positive effects, while interaction methodology and AI structure demonstrated non-significant impacts. Novelty: This research provides the first empirical Arabic-context framework demonstrating that human skills, behavior, and experience remain the primary drivers of digital project success when combined with GAI. Implications: Organizations must invest in behavioral and technical capabilities through command engineering training and digital simulation to bridge skills gaps and enable human-machine symbiosis for competitive advantage.Keywords : Generative Artificial Intelligence, Digital Project Management, AI Dimensions, Organizational Digital Transformation, Human-AI CollaborationHighlight : Human skills and behavior remain the primary driver of digital project success. Clear task definition significantly enhances AI-powered project automation and efficiency outcomes. AI contribution and human personality show stronger impact than technical infrastructure flexibility.
The Role of Total Quality Management Strategies in Resource Sustainability in Strategic Projects: An Analytical Study of the Opinions of a Sample of Employees at the Kufa Cement Plant: Peran Strategi Manajemen Mutu Total dalam Keberlanjutan Sumber Daya pada Proyek-Proyek Strategis: Studi Analitis terhadap Pendapat Sebagian Karyawan di Pabrik Semen Kufa Hashim, Muntaha Manate
Indonesian Journal of Public Policy Review Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijppr.v27i1.1487

Abstract

General Background: Total Quality Management (TQM) has evolved into a strategic approach for improving organizational processes and long-term sustainability in competitive environments. Specific Background: In industrial settings, integrating TQM strategies into strategic projects is increasingly associated with efficient resource utilization and sustainability outcomes. Knowledge Gap: However, limited empirical evidence exists on how specific TQM dimensions contribute to resource sustainability within strategic project contexts, particularly in developing economies. Aims: This study examines the relationship between TQM strategies and resource sustainability in strategic projects at the Kufa Cement Plant. Results: Using data from 135 employees and structural equation modeling, the findings reveal a significant positive relationship between TQM strategies and resource sustainability, with leadership, supplier development, and continuous improvement showing strong contributions. Novelty: The study introduces an integrated model linking TQM dimensions with sustainability outcomes in an industrial project setting. Implications: The results provide practical insights for organizations seeking to reduce waste, optimize resources, and support long-term sustainability through strategic quality management practices. Keywords: Total Quality Management, Resource Sustainability, Strategic Projects, Continuous Improvement, Industrial Management Key Findings Highlights Leadership-driven quality practices show the strongest contribution to sustainable resource utilization Supplier collaboration supports long-term operational stability and material efficiency Continuous process refinement reduces waste and sustains production cycles