Developing human capital for sustainable supply chain hyper automation: an action learning framework
持続可能なサプライチェーンハイパーオートメーションのための人材育成：アクションラーニングフレームワーク (AI 翻訳)
Viraj P. Tathavadekar, Nitin R. Mahankale
🤖 gxceed AI 要約
日本語
本稿は、持続可能なサプライチェーンハイパーオートメーションの文脈における人材育成のための一般化されたアクションラーニングフレームワークを提案する。フレームワークは、UN SDGs、スコープ1-3排出、カーボンニュートラル目標とインダストリー4.0の自動化コンピテンシーを統合する。組織が二重の変革課題に取り組むための実践的な指針を提供する。
English
This viewpoint article proposes a generalized action learning framework that integrates UN SDG alignment, Scope 1-3 emissions, and carbon neutrality with Industry 4.0 automation competencies for human capital development in sustainable supply chain hyperautomation. It addresses the dual transformation challenge of sustainability and automation readiness.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX文脈では、サプライチェーン全体でのカーボンニュートラル達成が求められており、自動化と人材育成の両立は重要課題。本フレームワークはSSBJや有報での開示を意識した人材戦略策定に示唆を与える。
In the global GX context
In the global GX context, integrating sustainability metrics with automation capabilities is crucial for supply chain decarbonization. This framework contributes to the discourse on workforce development for climate transition, complementing TCFD/ISSB disclosure requirements.
👥 読者別の含意
🔬研究者:This paper outlines a conceptual framework integrating sustainability and automation competencies, offering a starting point for empirical studies on human capital development for supply chain decarbonization.
🏢実務担当者:Organizations can use this framework to design experiential learning programs that build workforce capabilities in carbon accounting, digital twin management, and autonomous system oversight for supply chain sustainability.
📄 Abstract（原文）
Purpose This viewpoint article presents a generalized action learning framework for human capital development within sustainable supply chain hyper automation contexts, applicable across organizations addressing UN SDG alignment and carbon neutrality objectives while building automation-ready capabilities. Design/methodology/approach The framework integrates sustainability frameworks (UN SDGs, Scope 1–3 emissions) with Industry 4.0 automation competencies through general observations of organizational practices and industry case analysis, creating a specialized action learning approach for dual transformation challenges. Findings Action learning frameworks can be enhanced with domain-specific sustainability metrics and automation readiness assessments to create targeted workforce capabilities. However, organizations need structured future-proofing mechanisms beyond generic continuous learning approaches. Research limitations/implications Limited integrated studies exist combining sustainability targets with automation competency development. Future research should examine sector-specific implementation across different automation maturity levels. Practical implications the framework supports employees through experiential development in carbon accounting, digital twin management, and autonomous system oversight while helping organizations achieve measurable sustainability targets and automation readiness. Originality/value This study contributes a generalized action learning framework integrating UN SDG compliance, carbon neutrality pathways, and Industry 4.0 competencies for human capital development, applicable to organizations navigating supply chain transformation during the contemporary period (2025–2035).
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1108/dlo-07-2025-0265first seen 2026-05-14 21:12:27
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