{"id":5956,"date":"2026-08-29T11:57:08","date_gmt":"2026-08-29T11:57:08","guid":{"rendered":"https:\/\/interfinance.tsue.uz\/?p=5956"},"modified":"2026-08-29T11:57:08","modified_gmt":"2026-08-29T11:57:08","slug":"ai-enabled-digital-investment-project-management-in-capital-intensive-industry-a-design-science-framework-and-case-informed-evaluation-protocol-for-almalyk-mmc","status":"publish","type":"post","link":"https:\/\/interfinance.tsue.uz\/?p=5956","title":{"rendered":"AI-ENABLED DIGITAL INVESTMENT PROJECT MANAGEMENT IN CAPITAL-INTENSIVE INDUSTRY: A DESIGN-SCIENCE FRAMEWORK AND CASE-INFORMED EVALUATION PROTOCOL FOR ALMALYK MMC"},"content":{"rendered":"<p><em><strong>Shaxnoza<\/strong> <strong>Arifdjanovna Abdullayeva<\/strong><\/em><\/p>\n<p><em>Leading Engineer, Department of Investments and Capital Construction, Almalyk Mining and Metallurgical Complex; PhD Student<\/em><\/p>\n<p><em>E-mail<\/em><em>: <\/em><a href=\"mailto:sh.abdullaeva@agmk.uz\"><em>sh.abdullaeva@agmk.uz<\/em><\/a><\/p>\n<p><em>ORCID:<\/em> <em>0009-0009-7722-3492<\/em><\/p>\n<p><em>\u00a0<\/em><strong><em>Scientific supervisor: Z.U.Berdinazarov, <\/em><\/strong><\/p>\n<p><em>Doctor of Economics, Associate Professor<\/em><\/p>\n<p><strong><em>Abstract<\/em><\/strong><em>. <\/em><em>Large industrial investment programs use scheduling, document, enterprise-resource-planning and reporting platforms, yet value is lost when the systems are not connected through common identifiers, governed data and auditable decision processes. This study develops an Artificial Intelligence-Driven Digital Investment Project Management Framework (AI-DIPMF) and a composite performance index (AIPPI) for that integration problem.<\/em> <em>The study applies design-science research. A structured state-of-the-art review was synthesized with the PEER logic (Point, Evidence, Explanation, Relevance); official AMMC disclosures were used for all quantitative case facts; BPMN-compatible process analysis, ISO 21502, ISO 21508:2026, ISO\/IEC 42001, ISO\/IEC 23894, ISO\/IEC 42005, NIST AI RMF and OECD\/JRC composite-indicator guidance informed the artifact and its evaluation protocol. Because no enterprise-wide implementation dataset was available, untraceable before-and-after estimates were not treated as results.<\/em> <em>The study produces: (i) a governed five-layer architecture connecting enterprise source systems, an integration and semantic-control layer, a project data platform, AI services and human-in-command workflows; (ii) a revised eight-dimension AIPPI with operational definitions, provenance and robustness rules; and (iii) a staged shadow-mode and controlled-pilot evaluation design. Official AMMC records show the relevance of the problem: the first-quarter 2025 portfolio comprised nine major projects with total stated cost of USD 13.5867 billion, while a prior transport-logistics information system was officially reported to improve equipment management by 10%, reduce paper documentation by 70% and save more than UZS 7 billion per year. These figures demonstrate local digitalization potential, not the effect of AI-DIPMF.<\/em> <em>AI-DIPMF is a testable reference architecture rather than a proven enterprise-wide intervention. Its effectiveness and efficiency should be accepted only after out-of-time model validation and a controlled rollout demonstrate lower forecast error, shorter cycle time, lower reporting effort and positive risk-adjusted economic value without breaching security, reliability or human-oversight thresholds.<\/em><\/p>\n<p><strong><em>Keywords<\/em><\/strong><em>: artificial intelligence; investment project management; design science; composite performance index; megaprojects; mining and metallurgy; digital transformation; AI governance<\/em><em>.<\/em><\/p>\n<p><strong><em><\/em><\/strong><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Shaxnoza Arifdjanovna Abdullayeva Leading Engineer, Department of Investments and Capital Construction, Almalyk Mining and Metallurgical Complex; PhD Student E-mail: sh.abdullaeva@agmk.uz ORCID: 0009-0009-7722-3492 \u00a0Scientific supervisor: Z.U.Berdinazarov, Doctor of Economics, Associate Professor Abstract. Large industrial investment programs use scheduling, document, enterprise-resource-planning and <a href=\"https:\/\/interfinance.tsue.uz\/?p=5956\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[77],"tags":[],"class_list":["post-5956","post","type-post","status-publish","format-standard","hentry","category-2026-4-issue-1-6"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI-ENABLED DIGITAL INVESTMENT PROJECT MANAGEMENT IN CAPITAL-INTENSIVE INDUSTRY: A DESIGN-SCIENCE FRAMEWORK AND CASE-INFORMED EVALUATION PROTOCOL FOR ALMALYK MMC - Journal of International Finance and Accounting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/interfinance.tsue.uz\/?p=5956\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-ENABLED DIGITAL INVESTMENT PROJECT MANAGEMENT IN CAPITAL-INTENSIVE INDUSTRY: A DESIGN-SCIENCE FRAMEWORK AND CASE-INFORMED EVALUATION PROTOCOL FOR ALMALYK MMC - Journal of International Finance and Accounting\" \/>\n<meta property=\"og:description\" content=\"Shaxnoza Arifdjanovna Abdullayeva Leading Engineer, Department of Investments and Capital Construction, Almalyk Mining and Metallurgical Complex; PhD Student E-mail: sh.abdullaeva@agmk.uz ORCID: 0009-0009-7722-3492 \u00a0Scientific supervisor: Z.U.Berdinazarov, Doctor of Economics, Associate Professor Abstract. 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