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SHLF Systemic Hybrid Learning Framework (Purple People Forge) Course Syllabus - Information Systems for Enterprises This resource is part of the SHLF Toolkit – Purple People Forge: Open Educational Resources for MIS (v1.0) Gianpiero Mattei Department of Innovative Technologies (SUPSI-DTI) Version 1.0 | AY: 2024-2025
2 Course Syllabus (v1.0) │ SHLF Toolkit - Purple People Forge | © 2025 Gianpiero Mattei │ DOI: 10.5281/zenodo.17801180 Course Overview & Objectives This syllabus outlines the specific curriculum for the Academic Year 2024/2025. The course is built upon the SHLF (Systemic Hybrid Learning Framework), a resilient pedagogical architecture designed to be inherently modular and adaptive. The framework provides a consistent methodological backbone (based on the Longitudinal Case Study, Metacognitive Diary, and TIAM Analysis), while the specific modules, technological tools, and market scenarios are dynamically updated each year. This modular approach allows the course to integrate the latest Digital Transformation paradigms (e.g., evolving ERP platforms, GenAI advances, and Industry 5.0 trends) without sacrificing methodological rigor. Credits & Acknowledgments The SHLF Toolkit utilized in this course is the result of long-term design research. • SHLF Framework Design & Toolkit Creator: Gianpiero Mattei (SUPSI) • "Freschi Case" Co-Author: Marzio Albertoni (SUPSI) – Contribution to business scenario design. • Key Contributors & Module Leads: o Marco Morfino: ▪ Design and lead the part of the course based on testimonials ▪ Selection and contact of best-practice companies ▪ Co-definition of testimony contents with company experts ▪ Coordination of company testimony lectures ▪ Contribution to industry trends analysis and TIAM methodology ▪ Review and feedback on course structure o Claudio Capuzzimati: ▪ Guidance to students in applying the TIAM methodology ▪ Support in managing company testimonies ▪ Contribution to industry trends analysis and TIAM methodology ▪ Feedback on TIAM methodology o Elias Montini: ▪ Review and feedback on course structure ▪ Review of didactic material (course slides) ▪ Review and feedback on the Freschi Case o Vincenzo Cotrona: Lead for the Data Intelligence & Analytics module o Mattia Vincenzi: Lead for the Process Engineering lab (BPMN
3 Course Syllabus (v1.0) │ SHLF Toolkit - Purple People Forge | © 2025 Gianpiero Mattei │ DOI: 10.5281/zenodo.17801180. Detailed Course Content Chapter 1 – Fundamentals and Introduction to the Strategic/Organizational Role of Information Systems Part A – The Context • Increasing complexity: the VUCA world • Technological revolution • IT-enabled transformation • Enterprise, processes, supply chain, and information flows Part B – Introduction to Information Systems (IS) and Their Evolution • The value chain of information • What is an information system • Types and classifications of information systems Part C – IT Megatrends • Social Media • Internet of Things (IoT) • Cloud and Edge Computing • Big Data • Mobile Technologies • Artificial Intelligence (AI) Section D – Information System (or IT) Strategy • Information Systems Strategy • Digital Business Strategy Section E – Insights • Technology Management • Business Model Canvas • Blockchain: a brief introduction Part F – Digital Transformation and Digital Maturity Models • Introduction to Digital Transformation • Generic Digital Maturity Models (e.g., MIT Center for Digital Business & Capgemini, BCG) • Digital Supply Chain Maturity Models (e.g., Gartner Demand-Driven, McKinsey Compass) • Industry 4.0 Maturity Models (e.g., Acatech Industrie 4.0, VDMA Readiness) • Risks, failures, and success factors Chapter 2 – Enterprise Systems Part A – Introduction to Enterprise Systems • The concept of transaction • Enterprise Systems (ES) • ES modules Part B – Introduction to Enterprise Models and Architecture • Segmentation within Enterprise Systems • The context: Enterprise Architecture (EA) • Classification of business processes: the value chain • Decision-making processes: process and models (overview) • Support processes and IS management frameworks • Primary processes and information processing levels Part C – Reference Models for Segmentation • Porter’s Value Chain Model • Application Portfolio Model • Nolan’s Application Portfolio Model
4 Course Syllabus (v1.0) │ SHLF Toolkit - Purple People Forge | © 2025 Gianpiero Mattei │ DOI: 10.5281/zenodo.17801180 • ES Modules Grid • SCOR – Supply Chain Operations Reference Model • Consulting company process maps • Best-practice process maps • Software vendor process maps Part D – Current Scenario of Enterprise System Implementation in Manufacturing • Hierarchical levels and IS families • Current informatization landscape in manufacturing: CAD, MRP, ERP, SCM, CRM, MES, DRP • Manufacturing Execution Systems (MES) and Manufacturing Operations Management (MOM) • Industrial IoT Platforms Part E – Methodology for the Analysis of Operational IS Requirements • Steps for analyzing operational support information systems requirements In-depth Topic A: Product Life Cycle Management (PLM) and CIM • Product Life Cycle Management (PLM) • Computer Integrated Manufacturing (CIM) concept • Information systems supporting product and process design (CAS, CAD, CAM, CAPP) Chapter 3 – Process Engineering and BPMN Chapter 3.1 – Introduction to Process Engineering Part A – Concepts and Definitions • Innovation levered by process design • Key concepts and definitions • Example: product order flow Part B – Process Model • Objectives and context • What defines the correct process model? • Model complexity • Decomposition and specialization • Characteristics of a good process model (rules) Part C – Multidimensional Analysis • Different perspectives of process modeling • Examples: time analysis, value-added analysis, process definition, material and information flow Part D – Systematic Process Analysis (Methods and Tools) • IDEF0 • ARIS – Architecture of Integrated Information Systems & EPC – Event-driven Process Chains (as examples) Workshops 1. Key questions (Sections C + D) 2. “Swift-Flow” Case Part E – Process Performance • Frameworks for performance analysis • Efficiency vs effectiveness • Key Performance Indicators (KPI) • HIGO Method – KPI definition Workshop 4: KPI definition exercises Part F – Business Process Management and Process Mining • Business Process Management (BPM) • Process Mining Part G – Further Classification of Modeling Methods Part H – Introduction to IDEF0
5 Course Syllabus (v1.0) │ SHLF Toolkit - Purple People Forge | © 2025 Gianpiero Mattei │ DOI: 10.5281/zenodo.17801180 • Methodology overview • Objectives and characteristics • Elements of IDEF0 • Strengths and weaknesses • Exercise: “Stinka Company” Case Workshop 5: IBM Credit Corporation Case Part I – In-depth Methods for KPI Definition Part L – HIGO Method in Detail Chapter 3.2 – Camunda 8 and BPMN (Lecturer and author: Mattia Vincenzi) • Camunda 8 introduction and installation • BPMN application and practical example, • Individual assignment and full in-class exercise solution. Chapter 4 – ERP, SCM, and CRM Systems Part A – Introduction to ERP Systems • Definitions: general, SAP, Gartner • ERP functional coverage and relation to PLM • Historical evolution: MRP → MRP II → ERP → ERP II / XERP • ERP modules and classifications • Core ERP characteristics: data uniqueness, modularity, prescriptiveness, architecture • Examples: SAP R/3, mySAP, Odoo • ERP Architectures: R/3 client-server, SAP HANA, Cloud ERP Part B – ERP Evolutionary Trends • Advantages and disadvantages • Postmodern ERP and strategy • 4th Era of ERP: Composable ERP • ERP and emerging technologies (AI-driven, data-centric, consumable, people-augmented, enabling, customer-facing) • ERP trends and strategic directions (composability, ESG, continuous improvement) • Gartner ERP Hype Cycle 2024 and emerging technologies Part C – Supply Chain Management (SCM) Systems • Objectives: collaboration, coordination, responsiveness • Classification: Supply Chain Planning & Execution • SCM functionalities (network planning, demand planning, distribution, transport, risk) • Functional map (planning vs execution, short vs long term) • Gartner SCM Hype Cycle 2023 (Strategy & Execution) • Magic Quadrant for Supply Chain Planning Part D – Advanced Planning Systems (APS) • Definition and role relative to ERP • Key functionalities: Forecasting, MPS, MRP, ATP/CTP, Capacity Planning & Scheduling Part E – ERP Market • Main ERP vendors (product-centric, service-centric) – Gartner MQ • Open Source solutions (Odoo, ERPNext, Openbravo, etc.) Part F – ERP Projects • ERP system life cycle • Project phases: analysis, selection, implementation • Costs, time, satisfaction, and transition to Cloud ERP • Methodological approaches: waterfall, agile, big bang, phased, pilot • ERP failures (Leaseplan, Lidl, Hertz, Avon) and lessons learned Part G – CRM Systems • Managerial and technological definitions
6 Course Syllabus (v1.0) │ SHLF Toolkit - Purple People Forge | © 2025 Gianpiero Mattei │ DOI: 10.5281/zenodo.17801180 • CRM and servitization • Application areas and operational opportunities • CRM evolution and philosophy • CRM components: analytical, operational, and strategic • Benefits of CRM systems • Major CRM vendors • Reference models (IDIC, Eight Building Blocks, QCI, Payne) • Conclusions Chapter 5 – Data Mining for Decision Support: from Data to Solution (Lecturer and author: Vincenzo Curtona) Part A – Introduction • From data to information: datasets and variable types Part B – Definition and Process • What is data mining: typical phases and objectives Part C – Main Algorithms • Classification, regression, clustering, artificial neural networks (ANN), support vector machines (SVM), decision trees Part D – Evaluation • Metrics, confusion matrix, validation, overfitting Part E – Ethical Aspects • Privacy, anonymization, risks Part F – Tools Excel, Python, KNIME
