Innovation supply chain

Job ID: 40320146

Budget: €30 – €250 EUR

Strategic Innovation Assessment and Transformation Roadmap: A Systems Analysis of (Company Name)’s Supply Chain Innovation Capabilities

Objective
You will produce a professional-level strategic analysis report applying the Innovation Function Framework (I = f(C, P, S, R, E, N) * t) to a real-world company. Your task is to assess the company’s innovation readiness and design a forward-looking transformation roadmap that demonstrates systems thinking, sustainability integration, and strategic foresight.
Structure
• Executive Summary (1 page, not in word count)
• Section 1 (C + P): Context & Purpose Analysis – 750 words
• Section 2 (S + R): Structure & Resources Evaluation – 750 words
• Section 3 (E + N): Environment & Network Integration – 750 words
• Section 4 (Integration + t): Strategic Transformation Roadmap – 750 words
• Self-Reflection (500–750 words, not in word count)
• References & Appendices (not in word count; minimum 15 sources, Harvard style)
Length: 3,000 words (±10%)

Relevance to Course & Assignment
• Builds directly on the weekly progression: each section connects to specific framework dimensions (C, P, S, R, E, N, t).
• Final synthesis (Week 8) provides the foundation for your roadmap.
• Supports your professional portfolio with an executive-ready document.
Submission Details
• Format: Word or PDF

Professional Standards
• Evidence-based analysis with data and case examples
• Minimum 15 scholarly + industry sources APA reference
• Clear, executive-level structure and professional language
• Forward-thinking, critical insights (beyond description)
• Self-reflection is expected to be authentic, critical, and linked to the course learning outcomes (KSAs)
• Transparent and responsible use of AI tools (if any)
Reminder
• More information in Module Description
• Full assignment guide + rubric available in Brightspace
Reminder: “The Innovation Function Framework is positioned as an applied diagnostic model for complex supply chain systems, rather than a predictive or optimisation model.”